### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-1 

# 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables

The 3MRA modeling system requires over 700 non-chemical-specific inputs to characterize the 201 sites in the representative national data set. Sections 2 through 15 describe the collection of these data, along with chemical-specific health benchmarks and bio-uptake factors for the 46 chemicals addressed in the example data set. These sections were organized according to data type; however, this organization left several parameter types that did not fit well under any section heading but did not justify a section of their own. These miscellaneous variables are shown in Table 16-1.

Table 16-1. Miscellaneous Data Processed for the 3MRA Representative National Data Set

Data Type Module Collection Approach (number of variables) Comments (Section) Air Air National (12), site-based (5) Non-meteorological variables (Section 16.1) Aquifer Aquifer National (11), regional (4), site-based (2) Mostly based on data collected for prior regulatory efforts (Section 16.2) Waste properties Sources National (all) Limited available data; distributions based on professional judgment (Section 16.5) Risk, Control Human Risk, Ecological Risk; various National (all) Risk bins, exposed population, termination criteria; set by technical policy criteria (Section 16.6)



## 16.1 Miscellaneous Air Module Inputs
In addition to the meterological and associated meterological station data described in Section 4.0, the Air Module requires other speci fic data inputs shown in Table 16-2. These variables include both site-based and nationally specified data. They are included in the 3MRA modeling system input database and, except for MetSta, are all in the air data group. Additional detail on these variables and how they are used in the air module can be found in U.S. EPA (1998a) and U.S. EPA (1999a, b).

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-2 Table 16-2. Miscellaneous Air Module Input Data

Description Code Units Value
Site-Based Variables Surface meteorological station number SurfData, MetSta Values sent for each of 419 settings (see Appendix 16A for a full listing of values by setting) Upper air meteorological station number AirData First year of meteorological data StartYr Anemometer height AnemHght m Rural or urban land use (2 km radius around site) RuralStr National Variables Dry depletion option DryDpStr DRYDPLT Wet depletion option WetDpStr WETDPLT Flag for internal calculation of PMF (TRUE or FALS E) MASSFRAXOption TRUE (particulate distributions specified) Number of particle size categories ArrayLen unitless 4 Diameter of particles by category PARTDIAM : m 23.3042, 12.6645, 6.92457, 1.5749 Mass fraction by particle size category (LAU) 1 MASSFRAX fraction 0.4, 0.1, 0.3, 0.2 Mass fraction by particle size category (landfill) 1 MASSFRAX fraction 0.4, 0.1, 0.3, 0.2 Mass fraction by particle size category (waste pile) 1 MASSFRAX fraction 0.4, 0.1, 0.3, 0.2 Particle scavenging coefficient for frozen precipitation 2 PARTSICE h/s-mm 0.000665, 0.000665, 0.000458, 0.000071 Particle scavenging coefficient for liquid precipitation 2 PARTSLIQ h/s-mm 0.000665, 0.000665, 0.000458, 0.000071 Gas scavenging coefficient for frozen precipitation IceScav h/s-mm 0.00017 Gas scavenging coefficient for li quid precipitation LiqScav h/s-mm 0.00017 SCIM option ScimStr SCIM Number of hours to skip in SCIM processing SCIMBYHR unitless 1, 193, 1, 8

1 Dimensioned on WMU type (3) and number or particle size categories (ArrayLen = 4).
2 Dimensioned on number or particle size categories (ArrayLen = 4).



### 16.1.1 Meteorological Station Variables
Meteorological station variables are sent in the site-based tables by site based on the station assigned to the site. Station numbers include AirData for radiosonde data upper air stations and SurfDat (or MetSta) for SAMSON surface stations . These text variables are the National Weather Service’s WBAN number for each station and were assigned to each site using a geographic information system (GIS), as described in Section 4.0.
Meteorological station location and anemometer height (AnemHght) data were retrieved for each station from the Local Climatology Data Summaries for 1982 (NOAA, 1983). Where the anemometer height was unavailable from this source, the mode of all available anemometer heights (6.1 m) was used as a default value. The starting year of meteorological data (StartYr) was taken from the hourly meteorological file us ed for modeling. This year varied depending on data availability for the meteorological station.
16.1.2 Urban/Rural Designation

RuralStr specifies whether a modeled facility is in a rural or urban location and is based on Geographic Information Retrieval and Analysis System (GIRAS) land use/land cover data (U.S. EPA, 1994b). GIRAS digital geographic information system (GIS) coverages, available

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-3 from EPA by one-degree quadrangles (1:250,000 scale), are based on Anderson land use codes (Anderson et al., 1976). A GIS was used to process the GIRAS data and create database tables containing land use codes and their areas within the 2-km radius area of interest (AOI) at each site. A data processing program then used a lookup table that relates the Anderson code to an urban or rural designation to calculate the percentage of each within the AOI. Table 16-3 shows the Anderson codes assumed to be urban; all other codes were assumed to be rural. Urban was specified if an AOI was composed of 50 percent or more urban land use types; otherwise, rural was selected.

16.1.3 Particulate Data
The Industrial Source Complex Short-Term (ISCST3) air module used in the Air Module includes the option ( MASSFRAXOption ) of using run-specific particulate distributions generated from the source modules (i.e., landfill, waste pile, and land application unit [LAU]) or havingthese distributions externally specified by waste management unit (WMU) type. Because runtime considerations required the air output files (LFO files) to be generated externally, the latter option was used for the representative national data set, and MASSFRAXOption was set to TRUE, with particulate distributions being externally specified.

The number of particle size categories (ArrayLen) was specified as 4, in accordance with U.S. EPA (1985) (AP-42). The particle diameters represented by these ranges (PARTDIAM) also were fixed according to AP-42. The distribu tion of particles among these four categories is, ideally, generated by the model (i.e., is WMU- and site-specific). However, because the air model was run offline to generate fixed air output files for the system, the particle size distributions were assumed to be the same across WMUs. The fraction of each particle size category by WMU (MASSFRAX) was fixed across WMU type using typical values reported in U.S. EPA (1985).
16.1.4 Sampled Chronological Input Model (SCIM) Inputs
To reduce computational times, the enhanced version of ISCST3 using in the Air Module uses only a fraction of the hourly meteorological data sampled at regular intervals rather than the complete period of record for each meteorological station. This method, the Sampled Chronological Input Model (SCIM), significantly reduces model run time while producing longterm averages comparable to those obtained using the full data set (U.S. EPA, 1998a). ScimStr is a text variable that sets the option and is specified in the 3MRA modeling system as “SCIM” to exercise SCIM within ISCST3. SCIMBYHR is an integer 4-place vector (1, 193, 1, 8) that specifies the different SCIM levels applied for dry deposition (1 hour of data selected for every 193 hours) and wet deposition (1 hour of data selected for every 8 hours). These sampling Table 16-3. Urban Anderson Land Use Codes

Code Description

11 Residental 12 Commercial and services 13 Industrial 14 Transportation-communication-utilities 15 Industrial and commercial complexes 16 Mixed urban or built-up land 17 Other urban or built-up land

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-4 intervals were based on a study (U.S. EPA, 1998a) that determined the optimum sampling intervals by selecting values that reduced run time without unduly compromising accuracy.

16.1.5 Other National Variables
16.1.5.1 DryDpStr and WetDpStr

. These text variables specify whether the dry and wet depletion options are invoked within ISCST3. For the representative national data set, both dry and wet depletion were set “on” by specifying these variables as DRYDPLT and WETDPLT , respectively, in the National_Variable_ Distribution_Data table. Within the model, the dry depletion option is exercised depending on WMU type because the Air Module can only estimate dry depletion of particles, not dry de pletion of vapor. Therefore, dry depletion is calculated for particulate sources (landfills, land application units, and waste piles), but is not needed or considered for vapor-only sources (tanks or surface impoundments). Wet depletion is calculated at all sources for vapor and/or particles, as appropriate.
16.1.5.2 Scavenging Coefficients

. The frozen and liquid particle scavenging rate coefficients (PARTSICE and PARTSLIQ) were taken from Figure 1-11 in Volume II of the ISCST3 User's Guide. Appropriate values were assigned for each of the four particle size ranges, and frozen and liquid precipitation were assumed to scavenge particles at the same rate.
Gas scavenging rate coefficients for frozen and liquid precipitation (IceScav and LiqScav) were both assigned a value of 1.7E-4 h/s-mm. This value also was taken from Figure 1-11 in Volume II of the ISCST3 User's Guide (U.S. EPA, 1995b) under the assumption that gases scavenge similarly to small particles. The value for the smallest particle size on the graph (0.1 micron) was chosen for the scavenging rate.
16.1.6 Quality Assurance/Quality Control
Quality control (QC) activities for air model input data followed the same protocols as for other data. The manually entered values (e.g., the national data inputs) were checked 100 percent against the original sources. For automatically generated values (i.e., GIS-derived meteorological station assignments), a percentage of the final values were checked manually to ensure that the GIS and database programs were processing data accurately and consistently. Quality assurance (QA) was conducted to ensure that these QC activities were performed correctly and consistently and adequately documented. 

## 16.2 Aquifer Data
Aquifer data are required for the Aquifer Module. For most aquifer variables, sitespecific data were not available for the 3MRA representative national data set data collection effort. Site-specific hydrogeologic investigations at the 201 Industrial D sites were well beyond project resources, and although useful information was found in permit applications collected for a few sites during the data collection pilot, concerns about the consistent availability of permit information on subsurface conditions, data quality, as well as the projected costs for data collection and evaluation, precluded site-specific data collection. Instead, EPA relied upon a regional site-based data collection approach and data very similar to that used in the risk assessment that supported the 1995 Hazardous Waste Identification Rule (HWIR95)

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables

1 A local watershed (LWS) is defined as the drainage area that contains a WMU. The LWS extends from the upslope drainage divide downslope across the WMU to the first defined stream channel, lake, pond, or wetland. It includes the WMU and any areas upslope to th e divide and downslope to the receiving waterbody.



### 16-5 In general, public and peer-review comments did not find significant faults in theregional site-based approach used in 1995, and EPA believes it still represents a proven, state-ofthe-art methodology for estimating site-based hydrogeologic conditions for a nationwide analysis. Commenters did point out some inconsistencies between the ground water data and data collected for the other pathways in 1995, and EPA has updated and improved the 1995 methodology to address these concerns. First, site-specific soils data provide a consistent set of soil properties to all 3MRA modeling system modules requiring such data, including the ground water pathway module. Section 7.0 of this report describes the soil property data collection methodology. Second, receptor wells (private drinking water wells) are placed around each site using U.S. census data (see Section 9.0) for all exposure pathways. Third, ground water flow direction is defined site-specifically based on topography and surface drainage patterns (see Section 5.0).
Table 16-4 summarizes the regional and site-based aquifer data collected for the representative national data set, including collection approach (site-based or regional) and data sources. Table 16-5 shows data sources and values for nationally collected parameters. These variables are discussed by collection approach below.
16.2.1 Site-Based Aquifer Data
Site-based data include the variables necessary to describe the layout of wells and ground water flow direction at a site. These variables are collected using GIS technology, as described in detail in Sections 5.0 and 9.0 of this document. In general, aquifer properties are assumed to be uniform across a site, and a single aquifer and a single vadose zone are modeled for each realization of the 3MRA modeling system. The direction of ground water flow (AquDir) is assumed to be the same as the direction of overland surface water flow from the WMU, as defined by the local watershed 1 

### for the WMU in question. For a site with two local watersheds (i.e., where the WMU crosses a drainage divide), two ground water flow directions, represented as two aquifers and two vadose zones in the site layout, are sent to the model. In this case, a single aquifer is still modeled, with the ground wa ter flow direction being picked randomly from the two alternatives for each Monte Carlo realization at the site.
The watershed subbasin assigned to the aquifer (indicated by AquWSSubIndex ) is the subbasin containing the WMU and is used by th e Aquifer Module to obtain aquifer recharge rates from the Watershed Module. The waterbody reach impacted by the aquifer (indicated by WBNRchAquIndex ) is assigned as the same reach that is impacted by the local watershed, and, in the data, the entire reach is assumed to be potentially impacted by the aquifer ( WBNRchAquFrac = 1; during model implementation the plume may or may not intersect the entire reach, depending on flow and transport conditions and the width of the WMU). Coordinates of the impacted reach ( WBNRchLocX, WBNRchLocY ) are used by the Aquifer Module to model contaminant flux into the reach. Details of the methodology used to collect and process these waterbody- and watershed-related variables are provided in Section 5.0. How the

### 16-6 Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control VariablesTable 16-4. Site-Based and Regional Hydrogeologic Data Sources, Collection Approach, and Data LocationsVariable Code Units Data Location Data SourceAquifer Spatial Layout (site-specific)Ground water flow direction in degreesfrom N AquDir degrees 3MRAmodel site-baseddata table:Site_Variable_Distribution_DataAssumed to equal local watershed flow direction(s) (see Section 5.0)Number of vadose zones NumVad Set equal to the number of local watersheds (LWSs) (see Section 5.0)Number of aquifers NumAquIndex of vadose zone per aquifer AquVadIndex AquVadIndex=AquLWSIndex = VadLWSIndex = SrcLWSIndex(see Section 5.0)Local watershed index per vadose zone VadLWSIndexLocal watershed indexper aquifer AquLWSIndexLocal watershed subarea index peraquifer AquLWSSubAreaIndex LWS subarea containing source (see Section 5.0)Index of watershed per aquifer AquWSSubIndex Index of watershed subbasincontaining source (see Section 5.0)Number of aquifers that impact a reach WBNRchNumAqu = 1 for reaches impacted by the local watershedIndex of aquifer that impacts a reach WBNRchAquIndex Aquiferindex impacting reach (= index of LWS impacting reach)Fraction of a reach impacted by the aquifer WBNRchAquFrac Always = 1 for reaches impacted by aquiferReach locations - E-W in site coordinate system WBNRchLocX degreesCoordinates for centroids of grid cells occupied by reach (seeSection 5.0)Reach locations - N-S in site coordinate system WBNRchLocY degreesNumber of wells in an aquifer NumAquWell Drinking water well placed at each US Census block centroid withina block group with wells and at eachfarm centroid (see Section 9.0)Well location - N-S in site coordinate system AquWellLocY mWell location - E-W in site coordinate system AquWellLocX mSite-Specific Aquifer DataAverage aquifer temperature AquTemp degrees C 3MRA model site-baseddata table: Site_Variable_Distribution_Data (seeAppendix 16A for data)From Collins (1925) (U.S. EPA, 1997b)Average vadose zone temperature VadTemp degrees C Assumed to equal AquTempHydrogeologic environment (GWClass1-GWClass13)GWClass Assigned by sitelocation (U.S. EPA, 1997b)Indicator for degree of fractioning of saturatedporous mediaAquFractureID unitless Assigned to each sitebased on review of geologic conditions (seeU.S. EPA, 1998c)Regional Aquifer DataHydraulic conductivity in direction of gradient AquSatK m/yr 3MRA model regional datatable: Regional_Variable_Distribution_Data (seeAppendix 16B for data)From API Hydrogeologic Databaseby hydrogeologic environment(GWClass) (U.S. EPA, 1997b)Regional ground water gradient AquGradSaturated zone thickness AquThick mDepth to water (vadosezone thickness) VadThick mNumber of sites per GWClass GWClassIndex unitless

### 16-7 Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control VariablesTable 16-5. National Aquifer Data Sources and ValuesNational Aquifer Data Code UnitsDistributionTypeStandardDeviation Mean Min Max Data SourceParticle diameter (d) DIAM mm User-defined (empirical; see Table 16-7) FromShea (1974) (U.S. EPA, 1997b)Longitudinal dispersivity AL m User-defined(empirical; see Table 16-8) U.S. EPA (1997b)Longitudinal to transversedispersivity ratioALATratio m Constant 8U.S. EPA (1997b)Longitudinal to vertical dispersivityratioALAVratio m Constant 160U.S. EPA (1997b)Anisotropy ratio ANIST Uniform 0 100 U.S. EPA (1997b)Fraction of aquifer covered by wellscreenAquWellFracZ fraction Uniform 0.01 0.99EPA technical policy; sent for each wellAverage aquifer pH AquPh pH units User-defined (empirical; see Table 16-9) From STORET data (U.S. EPA, 1997b)Fraction organic carbon (aquifer) FOC fraction TrnJohnsonSB 0.90756 -4.99 0 0.064 Derived from U.S. EPA (1997b)Fraction iron-hydroxide adsorbent(aquifer)AquFEOX fraction Uniform 6.4E-05 0.00607U.S. EPA (1997b)Leachate organic matter AquLOM mg/L Uniform 105 1156 U.S. EPA (1997b)Random number to choose anaerobicBiodegradation regime:0=methanogenic; 1= sulfate reducingAquAnaBioRandUnif IntUniform 0 1 EPA technical policyLogical flag to turn fracturemodeling capability on or offAquDoFracture Constant yes (on) Fracture simulation implemented in current datasetLogical flag to turn heterogeneitymodeling on or offAquDoHetero Constant yes (on) Heterogeneity simulation implemented in currentdata setRandom number to choose fractureconditionAquRandUniF Uniform 0 1 U.S. EPA (1999l)Random number to chooseheterogeneity regimeAquRandHeteroNorm Normal 1 0 -3 3 U.S. EPA (1999k)Random number to chooseheterogeneity regimeAquRandHeteroUnif Uniform 0 1 U.S. EPA (1999k)

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables

2 U.S. Census data on drinking water source are only available at the block group level.



### 16-8 3MRA modeling system uses these data is described in the 3MRA Vadose Zone and Aquifer Module documentation (U.S. EPA, 1999d).
Receptor points for the ground water exposure pathway are private drinking water wells. Using a GIS, wells are placed spatially around the WMU at the centroids of U.S. Census blocks, within the 2-km-radius AOI, that are within U.S. Census block groups that have households with private drinking water wells. 2 

### In addition, a drinking water well is placed at the centroid of every farm. The detailed methodology for collecting and processing the site-based variables that specify receptor well locations can be found in Section 9.0, Human Receptor Data.
Site-specific long-term average aquifer temperature (AquTemp) was determined for each site using an isotherm map from Collins (1925) (U.S. EPA, 1997b). Vadose zone temperature (VadTemp) was assumed to be equal to AquTemp. Each site was assigned to one of 12 regional hydrogeologic environments (GWClass ; see Table 16-6 and Section 16.2.2) by plotting its location on state-by-state U.S. Geological Surv ey (USGS) water resource maps (U.S. EPA, 1997b). Sites that could not be assigned to 1 of the 12 environments were assigned to a 13 th 

### unclassified environment.
The degree of fracturing of the aquifer at each site is sent to the system as the AquFactureID variable, which has integer values from 0 to 3. The values for this variable, which were assigned in a similar fashion to GWClass (U.S. EPA, 1998c), are as follows: 0 (not fractured), 1 (soluble or fractured bedrock), 2 ( bordered by soluble or fractured bedrock), and 3 (variable covered fractured or soluble bedrock).
AquTemp and GWClass assignments for the 419 site/WMU settings in the example 3MRA data set are provided in Appendix 16A along with the number of receptor wells (NumAquWell) at each setting. Note that there are no wells or subsurface temperature data for aerated tank sites because the ground water pathway is not modeled for these sites.
16.2.2 Regional Aquifer Data
Four key hydrogeological parameters were collected regionally based on a site’s hydrogeologic environment: hydraulic conductivity (AquSatK), hydraulic gradient (AquGrad), saturated thickness (AquThick), and depth to the water table or vadose zone thickness (VadThick) . These parameters were characterized using discrete distributions derived from the American Petroleum Institute’s (API’s) Hydr ogeologic Database (HGDB; Newell et al., 1989).
The HGDB contains data on these variables for approximately 400 sites nationwide. The HGDB places these sites in 12 Heath ground wate r regions and 4 to 13 DRASTIC hydrogeologic settings per region (Newell et al., 1989). For the representative national data set, these settings were combined across regions into the generalized hydrogeologic environments (GWClass) shown in Table 16-6 (U.S. EPA, 1997b). This resulted in a 394-site database with data from 16 to 62 sites per GWClass. GWClass 13 contains the median values for each variable across the

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-9 Table 16-6. 3MRA Modeling System Hydrogeologic Environments

Code Hydrogeologic Environment HGDB Sites (GWClassIndex ) GWClass01 Metamorphic & igneous 23 GWClass02 Bedded sedimentary rock 44 GWClass03 Till over sedimentary rock 16 GWClass04 Sand and gravel 33 GWClass05 Alluvial basins valleys & fans 62 GWClass06 River valleys and flood plains with overbank deposits 36 GWClass07 River valleys and flood plai ns without overbank deposits 33
GWClass08 Outwash 43
GWClass09 Till and till over outwash 29 GWClass10 Unconsolidated and semiconsolidated shallow aquifers 27
GWClass11 Coastal beaches 26
GWClass12 Solution limestone 22 GWClass13 Undefined (median values across 394 sites) 1 HGDB = Hydrogeologic Database (Newell et al., 1989). Source: U.S. EPA (1997b).



### 394 sites and was assigned to sites that cannot be classified into the GWClass 1 through 12. Appendix 16B contains the AquSatK, A quGrad, AquThick, and VadThick data by hydrogeologic environment for all 394 sites and for GWClass 13.
The 3MRA modeling system utilizes these data as follows. Based on a site’s GWClass assignment, the system randomly picks one set of the four variables for each Monte Carlo realization. By selecting the variables together, the dependencies between the hydrogeologic parameters (which represent measurements taken at the same location) are preserved in the analysis. For example, assume a site is assigned to GWClass1. There are 23 sets of hydrogeologic variables, i.e., combinations of AquSatK, AquGrad, AquThick, and VadThick measured at 23 locations, that fall within that hydrogeologic environment. For a particular model run for this site, the 3MRA modeling system randomly picks one of these 23 variable sets.
Note that in Appendix 16B, some of the variable sets are missing parameters (indicated by a -999). If one of these sets is selected, the 3MRA modeling system randomly generates a value based on the statistical correlations among the parameters for that hydrogeologic environment. This automatically preserves regional differences in aquifer characteristics while accounting for dependencies between hydrogeologic variables. The parameters necessary for this process (mean, minimum, maximum, and a correlation matrix) are present at the end of each set of GWClass variables in the data (see Appendix 16B). U.S. EPA (1997b) describes the replacement routine.

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-10 16.2.3 National Aquifer Data
The remaining aquifer variables are characterized by national distributions. As shown in Table 16-5, values for these 11 variables were mainly obtained from previous EPA efforts as documented in U.S. EPA (1997b). Additional details on how each of these variables function within the Aquifer Module may be found in the Aquifer Module documentation (U.S. EPA, 1996a,b; 1999d).
Mean particle diameter (DIAM) is used by the Aquifer Module to calculate a variety of related parameters including total and effective porosity and bulk density. An empirical distribution for DIAM (Table 16-7) was developed from particle diameter data compiled by Shea (1974). These data are passed to the 3MRA modeling system in the User_Defined_ Distribution_Data database table.
Longitudinal, transverse, and vertical aquifer dispersivities are used, along with seepage velocities, to calculate dispersion coefficients within the Aquifer Module. The probabilistic formulation used for longitudinal dispersivity (AL) is shown in Table 16-8, which is passed to the system in the User_Defined_ Distribution_ Data database table. Transverse and vertical dispersivities are calculated from AL using the ratios of 8 (for ALATratio ) and 160 (for ALAVratio ). Additional detail on the ground water module’s treatment of dispersivity and dispersion coefficients may be found in U.S. EPA (1996a,b; 1999d).
AquWellFracZ is the fraction of the saturated thickness of the aquifer covered by the well screen. Because information on this parameter was limited, EPA assumed a uniform distribution from 0.01 to 0.99.

The distribution of average aquifer pH (AquPh) was obtained from an analysis of nearly 25,000 field measurements obtained from EPA’s Storage and Retrieval System (STORET) database (see Section 6.0 for additional information on STORET). These data are represented by an empirical distribution with a range of 3.2 to 9.7 and a median value of 6.8 (Table 16-9). Because extreme values in STORET are unreliable, the upper and lower bounds were DIAM (mm) Cumulative Probability 3.90E-04 0.000 7.80E-04 0.038 1.60E-03 0.104 3.10E-03 0.171 6.30E-03 0.262 1.25E-02 0.371 2.50E-02 0.560 5.00E-02 0.792 1.00E-01 0.904 2.00E-01 0.944 4.00E-01 0.976 Source: U.S. EPA (1997b). 

### Table 16-7. Empirical (User-Defined) Distribution for Aquifer Particle Diameter (DIAM)

AL (m) Cumulative Probability 0.1 0.0

1 0.1 10 0.7 100 1.0 Source: U.S. EPA (1997b). 

### Table 16-8. Empirical Distribution for Aquifer Longitudinal Dispersivity (AL)

Table 16-9. Empirical Probability Distribution for Aquifer pH

Value Cumulative Probability 3.2 0 3.6 0.01 4.5 0.05 5.2 0.1 6.07 0.25

6.8 0.5 7.4 0.75 7.9 0.9 8.2 0.95 8.95 0.99

9.7 1

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-11 determined through a literature search for reported pH values for uncontaminated ground water (U.S. EPA, 1997b). The values specifying this distribution in Table 16-9 were passed to the 3MRA modeling system in the User_Defined_Distribution_Data data table.
Fraction organic carbon (FOC) for the aquifer was assumed to have a low range, and the distribution shape (JohnsonSB) was based on th e distribution of dissolved organic carbon measurements in EPA’s STORET database (U.S. EPA, 1997b). The ranges for fraction of amorphous iron oxides (AquFEOX) and the concentration of dissolved organic matter in leachate (AquLOM) were based on analytical data for aquifer and leachate samples collected by EPA in Florida, New Jersey, Oregon, Texas, Ut ah, and Wisconsin (U.S. EPA, 1999e). A uniform distribution was assumed for AquFEOX and AquLOM because data were not adequate to define distribution type.
Several random number distributions are sent to the ground water module to allow random selection of biodegradation, he terogeneity, and fracture conditions.
AquAnaBioRandUnif is a variable used to choose whether the subsurface anaerobic biodegradation regime will be methanogenic or sulfate-reducing. Because information on the national prevalence of these regimes is very limited, EPA has specified the variable as an integer with a uniform distribution of 0 to 1 to ensure equal probability of selecting either regime.
Two logical flags, AquDoFracture and AquDoHetero , are used to trigger the ground water module’s routines to simulate fractured and heterogeneous aquifer conditions. Because the degree of fracturing and heterogeneity is uncertain at the 201 sites in the representative national data set, three random number distributions ( AquRandFractUnif , AquRandHeteroNorm , and AquRandHeteroUnif ) are sent to the modeling system to allow it to vary the degree of fracturing and heterogeneity during Monte Carl o simulations. Additional details on the ground water module’s use of these variables can be found in U.S. EPA (1999k, l).
16.2.4 Quality Assurance/Quality Control
Quality control (QC) activities for aquifer data followed the same protocols as for other data. All manually entered values (e.g., the national data inputs) were checked 100 percent against the original sources. For automatically generated values (i.e., GIS-derived spatial layout variables, variables processed in the database), a percentage of the final values were checked manually to ensure that the GIS and database programs were processing data accurately and consistently (QC activities for watershed- and receptor-well-related variables are described in greater detail in Sections 5.0 and 9.0, respectively). Finally, the regional aquifer data and the site-based aquifer temperature and GWClass assignments were transferred in electronic format from EPACMTP using these variables. These data we re spot checked after transfer to ensure that they were processed into 3MRA modeling system format without error.
Quality assurance (QA) was conducted to ensure that the QC activities above were performed correctly and consistently and adequately documented.

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-12 16.2.5 Issues and Uncertainties
Because no site-based ground water flow direction ( AquDir ) data were available, ground water was assumed to flow in the same direction as surface water in the local watershed. In addition, the local watershed-to-reach connectivity was used to represent the aquifer-to-reach connectivity at the site. This adds uncertainty to the analysis because ground water flow does not always follow topography or discharge to the nearest waterbody. Evaluation of this uncertainty would require collection of site-specific data; however, it is not expected to have added a consistent bias to the analysis. 

## 16.3 Waste Properties
Waste property variables are required by all source models. For the 3MRA modeling system, waste properties include liquid waste properties for the Surface Impoundment and Aerated Tank Modules, solid waste properties for the Landfill and Waste Pile Modules, and both liquid and solid waste properties for the LAU Module. The variables required are listed by source module in Table 16-10, along with the values used in this analysis. Details on how these variables are utilized in the source modules can be found in U.S. EPA (1999g,h).

Table 16-10. 3MRA Modeling System Waste Property Data

Description Code Units Distribution Type Typical Min Max Average waste/source temperature SrcTemp Degrees Celsius Constant site-specific (= air temp.) Average waste/source pH SrcPh pH units Triangular 7 1 14 Landfill Wastes Mode of the aggregate size distribution (waste zone surface) asdm mm Empirical 5 0.1 100

Dry bulk density (waste) BDw g/cm 3 Triangular 1.825 1 2.65 Depth (root zone in LF waste zone) DRZ_W cm Constant 50 Fraction organic carbon (waste) focW M ass fraction Triangular 0.15 0.001 0.9 Fraction hazardous waste in WMU fwmu Mass fraction Uniform 0.001 1 Saturated hydraulic conductivity (w aste) KsatW cm/h Triangular 0.5 0.05 10 Volumetric water content (waste on tr ucks) mcW Volume percent Triangular 40 1 75 Porosity (total, waste) porW Volume fraction Triangular 0.5 0.2 0.8 Soil moisture coefficient b (waste) SMbW Unitless Uniform 4 10 Soil moisture field capacity (LF wast e zone) SMFC_W Volume % Triangular 50 0 100 Soil moisture wilting point (LF waste zone) SMWP_W Volume % Triangular 50 0 100 Silt content (waste) Sw Mass percent Uniform 2.2 21
Waste Pile Wastes Dry bulk density (waste) BDw g/cm 3 Triangular 1.825 1 2.65 Settling velocity (suspended solids) ConVs m/d Uniform 0.05 1 Depth (WP root zone) DRZ_W cm Constant 50 (continued)

### Table 16-10. (continued) Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables

Description Code Units Distribution Type Typical Min Max



### 16-13 Fraction organic carbon (waste) focW M ass fraction Triangular 0.15 0.001 0.9 Fraction hazardous waste in WMU fwmu Mass fraction Uniform 0.001 1 Saturated hydraulic conductivity (w aste) KsatW cm/h Triangular 0.5 0.05 10 Volumetric water content (waste on tr ucks) mcW Volume percent Triangular 40 1 75 Porosity (total, waste) porW Volume fraction Triangular 0.5 0.2 0.8 Soil moisture coefficient b (waste) SMbW Unitless Uniform 4 10 Soil moisture field capacity (WP) SMFC_W Volume % Triangular 50 0 100 Soil moisture wilting point (WP) SMWP_W Volume % Triangular 50 0 100 Silt content (waste) Sw Mass percent Triangular 15 0.5 80 Land Application Unit Wastes Mode of the aggregate size distribution (till zone surface) asdm mm Constant 5

Dry bulk density (waste solids) BDw g/cm 3 Triangular 1.825 1 2.65 Settling velocity (suspended solids) ConVs m/d Uniform 0.05 1 Fraction organic carbon (waste solids) fo cW Mass fraction Triangular 0.35 0.001 0.99 Fraction hazardous waste in WMU fwmu Mass fraction Uniform 0.001 1 Percent solids (waste) solid Mass percent Uniform 0 30 Silt content (waste solids) Sw Mass percent Triangular 15 0.5 80
Aerated Tank Wastes BOD (influent) CBOD g/cm 3 Triangular 0.01 0 0.1 Particle diameter (mean, waste suspended solids) dmeanTSS cm Triangular 0.001 0.0005 0.0025

Fraction organic carbon (waste solids) fo cW Mass fraction Triangular 0.35 0.001 0.99 Fraction hazardous waste in WMU fwmu Mass fraction Uniform 0.001 1 Molecular weight (liquid [water]) MWt_H2O g/mol Constant 18 Density (liquid [water]) rho_l g/cm 3 Constant 0.998 Solids density rho_part g/cm 3 Triangular 2.5 1 4 Total suspended solids (influent) TSS_in g/cm 3 Triangular 0.001 0.00001 0.01 Surface Impoundment Wastes BOD (influent) CBOD g/cm 3 Triangular 0.01 0 0.1 Particle diameter (mean, waste suspended solids) dmeanTSS cm Triangular 0.001 0.0005 0.0025

Fraction organic carbon (waste solids) fo cW Mass fraction Triangular 0.35 0.001 0.99 Fraction hazardous waste in WMU fwmu Mass fraction Uniform 0.001 1 Molecular weight (liquid [water]) MWt_H2O g/mol Constant 18 Density (liquid [water]) rho_l g/cm 3 Constant 0.998 Solids density rho_part g/cm 3 Triangular 2.5 1 4 Total suspended solids (influent) TSS_in g/cm 3 Triangular 0.001 0.00001 0.01

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-14 The waste property variables should be reflective of nonhazardous industrial wastes. However, little data were available on the waste characteristics needed by the models. EPA conducted an investigation and review of ava ilable waste characterization data (U.S. EPA, 1998b) but results are incomplete and were not adaptable in time for 3MRA modeling system test runs. Instead, engineering judgment was used to estimate reasonable ranges and typical variables for properties, and a uniform or tr iangular distribution was assumed to represent uncertainty. One significant source of uncertainty in these data is that they are not assumed to be correlated; if they are, random selection of variables could lead to unreasonable combinations of values.



## 16.4 Risk and Control Variables
The 3MRA modeling system includes several input variables that are used to control the risk calculations. These parameters are shown in Table 16-11 and are described by variable below.

Table 16-11. 3MRA Modeling System Risk and Control Variables

Description Code Units Dimension Value Peak output fraction for simulation termination TermFrac Fraction 0.01 Maximum years for source module simulation NyrMax Years 200 Labels for human risk bins – cancer BinRange_L abel_C Unitless NumBinC 1E-09, 1E-08, 5E-07, 1E06, 5E-06, 1E-05, 1E-04
Labels for human risk bisn – noncancer BinRa nge_Label_NC Unitless NumBinNC 0, 0.1, 1, 10
Minimum values of bins for human risk -- cancer Bi nRange_Min_C Unitless NumBinC 5 E-09, 7.5E-08, 7.5E-07, 2.5E-06, 7.5E-06, 5E-05
Minimum values of bins for human risk --

noncancer BinRange_Min_NC Unitless NumBinNC 0, 0.1, 1, 10

Minimum values of bins for eco risk EcoB inRange_Min Unitless NumEcoBin 0, 0.1, 1, 10, 100 Number of bins for human -- carcinogen NumBinC Unitless 7 Number of bins for human -- noncarcinogen NumBinNC Unitless 4 Number of bins for ecological risk NumEcoBin Unitless 5 Regulatory percentile for human risk (policy criterion) RegPercentile Unitless 100

Regulatory percentile for eco risk (policy criterion) EcoRegPercentile Unitless 100

Option on whether to include all receptors (true) or exposed receptors (fa lse) in CDF calculations DoExposed Unitless FALSE



### 16.4.1 Termination Criteria
Within the Landfill, Waste Pile, and LAU Modules, simulation is stopped when the contaminant mass is significantly depleted. The stopping criteria is defined by TermFrac : at the

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-15 end of the year in which the contaminant mass in the source (or source subcomponent for the landfill, waste pile, or LAU) is less than or equal to TermFrac times the total contaminant mass remaining, the simulation is stopped (U.S. EPA, 1999g). NyrMax , at which point the simulation is automatically stopped, overrides the TermFrac criteria. In the representative national data set, TermFrac is set at 0.01 (i.e., the source model simulation is stopped when the waste contaminant concentration is 1/100 of its maximum). NyrMax is set to 200 years due to computer memory constraints and run time considerations.

16.4.2 Risk Variables
Risk bins are defined as the histogram class intervals constituting the cumulative probability distribution functions (CDFs) computed by the human risk module for cancer risk, hazard quotient (HQ), and margin of exposure (MOE). There are seven bins for cancer risk ( NumBinC = 7) and four bins for HQ or MOE ( NumBinNC = 4). The bins are defined as specific risk and HQ/MOE ranges (i.e., the BinRange_Label variables) by specifying the minimum value for each bin using the variables BinRange_Min_C and BinRange_Min_NC , which are vectors dimensioned on NumBinC and NumBinNC , respectively. Similarly, the number of bins for ecological risk (five) is defined by NumEcoBin, with the bin ranges specified by EcoBinRange_Min. The number of human and ecological risk bins and their ranges were specified by EPA to provide adequate resolution in results for policy decisions.
RegPercentile is a user-specified population percentage for which the total cancer risk, hazard quotient, or margin of exposure is computed by the human risk module. EcoRegPercentile serves the same function for ecological risk. Because the 3MRA modeling system exit level processor (ELP) also includes the option to specify population percentage, and the ELP option is exercised at 90 percent, both variables are set to 100.
When computing human risk, the Human Risk Module can either include in the histograms all receptor/cohort individuals whether exposed to a contaminant or not or only those individuals that are exposed. In the latter case, the risk and/or HQ histograms can be interpreted as further conditioned on positive exposure. The option is set by the logical flag DoExposed

. DoExposed was set to “False” for the representative national data set, meaning all individuals are included in the histograms, whether exposed or not.
Additional information on the specification and function of these control variables can be found in Background Document for the Human Risk Module for HWIR99 Multimedia, Multipathway and Multireceptor Risk Assessment (3MRA) Model (U.S. EPA, 1999i) for human risk variables and Ecological Risk Module: Background and Implementation for the Multimedia, Multipathway and Multireceptor Risk Assessment (3MRA) for HWIR99 (U.S. EPA, 1999j) for ecological risk variables.



## 16.5 References
Anderson, J. R., E. E. Hardy, J. T. Roach, and R. E. Witmer. 1976. A land use and land cover classification system for use with remote sensor data. Geological Survey Professional Paper 964. In: U.S. Geological Survey Circular 671 . U.S. Geological Survey,

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-16 Washington, DC. Website at http://wwwnmb.usgs.gov/pub/ti/LULC/lulcpp964/lulcpp964.txt.
Collins, W. D. 1925. Temperature of Water Available for Industrial Use in the United States. Contributions to Hydrology of United States, 1923-1924. Water Supply Paper 520-F. U.S. Geological Survey, Washington, D.C. pp. 97-104.
Newell, C. J., L. P. Hopkins, and P. B. Bedient. 1989. Hydrogeologic Database for Ground Water Modeling . API Publication No. 4476. American Petroleum Institute. Rice University, Department of Environmenta l Science and Engineering, Washington, DC. February.
NOAA (National Oceanic and Atmospheric Administration). 1983. Local Climatological Data. Annual Summaries for 1982: Part I - ALA - MONT and Part II - NEB - WYO. National Climatic Data Center, National Environmental Satellite, Data, and Information Service, Asheville, NC.
Science Applications International Corporation. 1998. Draft Waste Parameters Database . U.S. Environmental Protection Agency. Science Applications International Corporation, Reston, VA. July 8.
Shea, James H. 1974. Deficiencies of clastic particles of certain sizes. Journal of Sedimentary Petrology, 44(4):985-1003. December.
U.S. EPA (Environmental Protection Agency). 1985. Compilation of Air Pollutant Emission Factors. Volume I: Stationary Point and Area Sources (Fourth Edition). AP-42. U.S. Environmental Protection Agency, Office of Air and Radiation and Office of Air Quality Planning and Standards, Research Triangle Park, NC. September.
U.S. EPA (Environmental Protection Agency). 1994a. Estimating Exposure to Dioxin-like Compounds. Volume II: Properties, Sources, Occurrence and Background Exposures. (External Review Draft). EPA/600/6-88/005Cb. U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC. pp. 6-26. June.
U.S. EPA (Environmental Protection Agency). 1994b. 1:250,000 Scale Quadrangles of Landuse/Landcover GIRAS Spatial Data in the Conterminous United States: Metadata. Office of Information Resources Management, Washington, DC. Website at http://www.epa.gov/ngispgm3/nsdi/projects/giras.htm.
U.S. EPA (Environmental Protection Agency). 1995. Draft User's Guide for the Industrial Source Complex (ISC3) Dispersion Models. Volume I: User Instructions. (Revised). EPA-454/B-95-003a. U.S. Environmental Pr otection Agency, Emissions, Monitoring, and Analysis Division, Office of Air Quality Planning and Standards, Research Triangle Park, NC. July.
U.S. EPA (Environmental Protection Agency). 1995. User's Guide for the Industrial Source Complex (ISC3) Dispersion Models. Volume II: Description of Model Algorithms. EPA454/B-95-003b. U.S. Environmental Protecti on Agency, Emissions, Monitoring, and

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-17 Analysis Division, Office of Air Quality Pl anning and Standards, Research Triangle Park, NC. September.
U.S. EPA (Environmental Protection Agency). 1996a. EPA's Composite Model for Leachate Migration with Transformation Products; EPACMTP. Background Document. U.S. Environmental Protection Agency, Office of Solid Waste, Washington, DC. September.
U.S. EPA (Environmental Protection Agency). 1996b. EPA's Composite Model for Leachate Migration with Transformation Products; EPACMTP: Background Document for Metals. Volume 1: Methodology. U.S. Environmental Protection Agency, Office of Solid Waste, Washington, DC.
U.S. EPA (Environmental Protection Agency). 1997a. Exposure Factors Handbook. EPA/600/P-95/002Fa. U.S. Environmental Prot ection Agency, Office of Research and Development, Washington, DC. August.
U. S. EPA (Environmental Protection Agency). 1997b. EPA’s Composite Model for Leachate Migration with Transformation Products. EPACMTP: User’s Guide . U. S. Environmental Protection Agency, Office of Solid Waste, Washington, DC.
U.S. EPA (Environmental Protection Agency). 1998a. Testing of the Sampled Chronological Input Model (SCIM) Option in the Enhanced ISCST3 Model for Use in the Hazardous Waste Identification Rule (HWIR99)

. U.S. EPA (Environmental Protection Agency). 1998b. Draft Waste Parameters Database . Draft Report. Office of Solid Waste, Washington, DC.
U.S. EPA (Environmental Protection Agency). 1998c. Characterization of Hydraulic Properties of Potentially Fractured Industrial D Landfill Sites . Draft Report. Office of Research and Development, National Risk Mana gement Research Laboratory, Ada, OK.
U.S. EPA (Environmental Protection Agency). 1999a. Documentation for the Air Module for the FRAMES-HWIR System . Office of Solid Waste, Washington, DC. June.
U.S. EPA (Environmental Protection Agency). 1999b. Air Module Pre- and Post- Processor. Background and Implementation for the Multimedia, Multipathway, and Multireceptor Risk Assessment (3MRA) for HWIR99. Draft. Office of Solid Waste, Washington, DC. July.
U.S. EPA (Environmental Protection Agency). 1999c. User’s Guide for the Industrial Source Complex (ISC3) Dispersion Models for use in the Multimedia, Multipathway and Multireceptor Risk Assessment (3MRA) for HWIR99: Description of Model Algorithms

. Office of Solid Waste, Washington, DC. 128 pages. June.
U.S. EPA (Environmental Protection Agency). 1999d. Vadose and Saturated Zone Modules Extracted from EPACMTP for HWIR99 . Draft. Office of Solid Waste, Washington, DC. July.

### Section 16.0 Miscellaneous Data: Air, Aquifer, Waste, Risk, and Control Variables



### 16-18 U.S. EPA (Environmental Protection Agency). 1999e. Changes in the MINTEQA2 Modeling Procedure for Estimating Metal Partitioning Coefficients in Groundwater for HWIR99

. Draft. Office of Solid Waste, Washington, DC. July.
U.S. EPA (Environmental Protection Agency). 1999f. Human Exposure Model: Background and Implementation for the HWIR 3MRA Model . Draft. Office of Solid Waste, Washington, DC. July.
U.S. EPA (Environmental Protection Agency). 1999g. Source Modules for Non-Wastewater Waste Management Units (Land Application Units, Waste Piles, and Landfills). Background and Implementation for the Multimedia, Multipathway, and Multireceptor Risk Assessment (3MRA) for HWIR 99. Draft Report. Office of Solid Waste, Washington, DC. October
U.S. EPA (Environmental Protection Agency). 1999h. Source Modules for Tanks and Surface Impoundments. Background and Implementation for the Multimedia, Multipathway, and Multireceptor Risk Assessment (3MRA) for HWIR99. Draft Report. Office of Solid Waste, Washington, DC. October.
U.S. EPA (Environmental Protection Agency). 1999i. Background Document for the Human Risk Module for HWIR 99 Multimedia, Multipathway, and Multireceptor Risk Assessment (3MRA) Model . Office of Solid Waste, Washington, DC. July.
U.S. EPA (Environmental Protection Agency). 1999j. Ecological Risk Module. Background and Implementation for the Multimedia, Multipathway, and Multireceptor Risk Assessment (3MRA) for HWIR99. Draft. Office of Solid Waste, Washington, DC. October.
U.S. EPA (Environmental Protection Agency). 1999k. Incorporation of Heterogeneity into Monte Carlo Fate and Transport Simulations . Draft Report. Office of Solid Waste, Washington, DC. July.
U.S. EPA (Environmental Protection Agency). 1999l. A Study to Assess the Impacts of Fractured Media in Monte Carlo Simulations . Office of Solid Waste, Washington, DC. July.

### Appendix 16A Site-Based Meteorological Station and Aquifer Data



### 16-19 

# Appendix 16A
Site-Based Meteorological Station and Aquifer Data

Table 16A-1. Site-Based Meteorological Station and Aquifer Data . . . . . . . . . . . . . . . . . . 16-21

### Appendix 16A Site-Based Meteorological Station and Aquifer Data



### 16-20 This page intentionally left blank

### Appendix 16A Site-Based Meteorological Station and Aquifer Data



### 16-21 Table 16A-1. Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp WP0114001 94823 94823 6.1 1961 URBAN GWClass02 47 12.5 WP0130207 14842 14923 7.6 1961 RURAL GWClass02 78 12.5 AT0131104 14842 94822 6.1 1961 RURAL GWClass02 0 SI0131104 14842 94822 6.1 1961 RURAL GWClass02 96 7.5 AT0131207 14733 14733 10.1 1961 URBAN GWClass02 0 SI0131207 14733 14733 10.1 1961 URBAN GWClass02 3 7.5 AT0131508 03860 13877 6.1 1962 URBAN GWClass02 0 LF0131508 03860 13877 6.1 1962 URBAN GWClass02 9 12.5 SI0131508 03860 13877 6.1 1962 URBAN GWClass02 6 12.5 WP0131508 03860 13877 6.1 1962 URBAN GWClass02 5 12.5 AT0136703 23047 23047 7 1963 RURAL GWClass05 0 LA0136703 23047 23047 7 1963 RURAL GWClass05 70 17.5 SI0136703 23047 23047 7 1963 RURAL GWClass05 58 17.5 WP0220102 13880 13880 6.1 1961 URBAN GWClass02 0 17.5 WP0221207 13840 93815 6.7 1961 URBAN GWClass02 113 12.5 LA0223504 94823 14895 6.1 1961 URBAN GWClass04 123 12.5 LF0223504 94823 14895 6.1 1961 URBAN GWClass04 113 12.5 WP0223504 94823 14895 6.1 1961 URBAN GWClass04 125 12.5 WP0224002 14842 14923 7.6 1961 URBAN GWClass02 30 7.5 LF0231002 13840 93815 6.7 1961 RURAL GWClass09 104 12.5 LF0231106 93734 13739 6.1 1961 RURAL GWClass04 29 12.5 LF0231407 13901 03927 6.7 1975 RURAL GWClass02 28 17.5 AT0231610 14842 94846 6.1 1961 URBAN GWClass02 0 SI0231610 14842 94846 6.1 1961 URBAN GWClass02 26 12.5 WP0231911 14826 14826 6.4 1961 URBAN GWClass02 35 7.5 AT0231914 14826 94847 6.1 1961 URBAN GWClass02 0 SI0231914 14826 94847 6.1 1961 URBAN GWClass02 26 12.5 WP0232305 14735 14742 6.1 1961 RURAL GWClass10 21 7.5 AT0232313 03951 13957 6.1 1981 RURAL GWClass02 0 LF0232313 03951 13957 6.1 1981 RURAL GWClass02 63 17.5 SI0232313 03951 13957 6.1 1981 RURAL GWClass02 55 17.5 WP0232313 03951 13957 6.1 1981 RURAL GWClass02 55 17.5 AT0232402 93734 13781 6.1 1961 URBAN GWClass01 0 LF0232402 93734 13781 6.1 1961 URBAN GWClass01 181 12.5 SI0232402 93734 13781 6.1 1961 URBAN GWClass01 167 12.5 AT0232415 14733 14820 6.1 1961 URBAN GWClass02 0 SI0232415 14733 14820 6.1 1961 URBAN GWClass02 0 12.5 WP0232415 14733 14820 6.1 1961 URBAN GWClass02 0 12.5 LF0232501 94823 14852 6.1 1961 RURAL GWClass02 108 12.5 WP0232501 94823 14852 6.1 1961 RURAL GWClass02 107 12.5 AT0232705 13873 13874 6.1 1961 RURAL GWClass02 0 (continued)

### Table 16A-1. (continued) Appendix 16A Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp



### 16-22 SI0232705 13873 13874 6.1 1961 RURAL GWClass02 149 17.5 AT0233601 13723 13741 9.1 1961 URBAN GWClass02 0 SI0233601 13723 13741 9.1 1961 URBAN GWClass02 57 12.5 LF0233603 13897 03856 7.6 1961 RURAL GWClass02 57 17.5 LF0234904 93734 14737 6.1 1961 RURAL GWClass02 134 12.5 LF0235301 13840 93819 6.1 1961 URBAN GWClass09 147 12.5 AT0312301 13723 13741 9.1 1961 RURAL GWClass02 0 LA0312301 13723 13741 9.1 1961 RURAL GWClass02 94 12.5 SI0312301 13723 13741 9.1 1961 RURAL GWClass02 89 12.5 LF0314202 14735 14735 6.1 1961 URBAN GWClass04 62 7.5 AT0321802 24232 24229 6.1 1961 RURAL GWClass05 0 SI0321802 24232 24229 6.1 1961 RURAL GWClass05 0 12.5 WP0321802 24232 24229 6.1 1961 RURAL GWClass05 0 12.5 AT0331006 13963 13893 6.7 1962 RURAL GWClass05 0 SI0331006 13963 13893 6.7 1962 RURAL GWClass05 3 17.5 AT0331902 13985 13985 6.1 1961 RURAL GWClass10 0 SI0331902 13985 13985 6.1 1961 RURAL GWClass10 28 17.5 WP0331902 13985 13985 6.1 1961 RURAL GWClass10 28 17.5 AT0332104 23047 23047 7 1963 RURAL GWClass10 0 LA0332104 23047 23047 7 1963 RURAL GWClass10 91 17.5 SI0332104 23047 23047 7 1963 RURAL GWClass10 66 17.5 WP0332104 23047 23047 7 1963 RURAL GWClass10 62 17.5 LF0332707 12842 12842 6.7 1961 RURAL GWClass02 48 22.5 WP0332707 12842 12842 6.7 1961 RURAL GWClass02 57 22.5 WP0332811 13840 14821 6.1 1961 URBAN GWClass02 133 12.5 AT0430108 13996 03947 9.8 1973 RURAL GWClass05 0 SI0430108 13996 03947 9.8 1973 RURAL GWClass05 11 12.5 WP0430108 13996 03947 9.8 1973 RURAL GWClass05 11 12.5 AT0430412 14733 14820 6.1 1961 RURAL GWClass02 0 LF0430412 14733 14820 6.1 1961 RURAL GWClass02 38 12.5 SI0430412 14733 14820 6.1 1961 RURAL GWClass02 37 12.5 AT0431912 13996 03947 9.8 1973 RURAL GWClass02 0 LF0431912 13996 03947 9.8 1973 RURAL GWClass02 18 12.5 SI0431912 13996 03947 9.8 1973 RURAL GWClass02 18 12.5 LF0432011 13897 03856 7.6 1961 RURAL GWClass02 8 17.5 AT0432106 93734 14737 6.1 1961 RURAL GWClass02 0 SI0432106 93734 14737 6.1 1961 RURAL GWClass02 59 12.5 AT0432716 14918 14913 6.4 1961 RURAL GWClass02 0 SI0432716 14918 14913 6.4 1961 RURAL GWClass02 11 2.5 AT0433201 14826 14848 6.4 1961 RURAL GWClass09 0 LF0433201 14826 14848 6.4 1961 RURAL GWClass09 15 12.5 SI0433201 14826 14848 6.4 1961 RURAL GWClass09 21 12.5 (continued)

### Table 16A-1. (continued) Appendix 16A Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp



### 16-23 AT0433204 13880 13880 6.1 1961 RURAL GWClass10 0 SI0433204 13880 13880 6.1 1961 RURAL GWClass10 19 17.5 AT0433404 24023 24018 10.1 1961 RURAL GWClass05 0 LF0433404 24023 24018 10.1 1961 RURAL GWClass05 51 7.5 SI0433404 24023 24018 10.1 1961 RURAL GWClass05 50 7.5 AT0433408 24143 24037 12.2 1961 RURAL GWClass05 0 SI0433408 24143 24037 12.2 1961 RURAL GWClass05 16 7.5 AT0434505 23160 23183 10.1 1961 RURAL GWClass04 0 SI0434505 23160 23183 10.1 1961 RURAL GWClass04 32 22.5 AT0434804 13723 13722 6.1 1961 RURAL GWClass01 0 SI0434804 13723 13722 6.1 1961 RURAL GWClass01 40 17.5 AT0435510 14842 14842 6.1 1961 RURAL GWClass02 0 LA0435510 14842 14842 6.1 1961 RURAL GWClass02 45 12.5 SI0435510 14842 14842 6.1 1961 RURAL GWClass02 51 12.5 AT0436007 13723 13722 6.1 1961 RURAL GWClass01 0 SI0436007 13723 13722 6.1 1961 RURAL GWClass01 38 17.5 AT0436108 13723 13881 10.1 1961 RURAL GWClass01 0 SI0436108 13723 13881 10.1 1961 RURAL GWClass01 63 17.5 AT0530901 14733 14820 6.1 1961 RURAL GWClass10 0 LA0530901 14733 14820 6.1 1961 RURAL GWClass10 64 12.5 SI0530901 14733 14820 6.1 1961 RURAL GWClass10 56 12.5 AT0531301 14842 93822 9.4 1961 RURAL GWClass02 0 SI0531301 14842 93822 9.4 1961 RURAL GWClass02 33 12.5 AT0531502 03860 03860 6.1 1962 URBAN GWClass10 0 SI0531502 03860 03860 6.1 1962 URBAN GWClass10 98 12.5 LF0531702 23047 23047 7 1963 RURAL GWClass10 87 17.5 AT0531902 03937 12960 6.1 1977 URBAN GWClass04 0 SI0531902 03937 12960 6.1 1977 URBAN GWClass04 0 22.5 AT0534504 13873 13874 6.1 1961 URBAN GWClass01 0 SI0534504 13873 13874 6.1 1961 URBAN GWClass01 10 17.5 AT0613402 03879 13994 6.1 1973 URBAN GWClass02 0 SI0613402 03879 13994 6.1 1973 URBAN GWClass02 0 12.5 AT0620401 03937 12960 6.1 1977 URBAN GWClass04 0 SI0620401 03937 12960 6.1 1977 URBAN GWClass04 13 22.5 AT0620604 24127 24127 6.1 1961 RURAL GWClass05 0 SI0620604 24127 24127 6.1 1961 RURAL GWClass05 0 12.5 AT0621603 03937 12960 6.1 1977 RURAL GWClass04 0 SI0621603 03937 12960 6.1 1977 RURAL GWClass04 0 22.5 AT0621902 13996 03928 7.6 1961 RURAL GWClass05 0 SI0621902 13996 03928 7.6 1961 RURAL GWClass05 39 12.5 AT0622902 23160 23160 6.1 1961 RURAL GWClass05 0 SI0622902 23160 23160 6.1 1961 RURAL GWClass05 32 22.5 (continued)

### Table 16A-1. (continued) Appendix 16A Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp



### 16-24 AT0625002 13880 03822 9.1 1961 RURAL GWClass02 0 LF0625002 13880 03822 9.1 1961 RURAL GWClass02 1 22.5 SI0625002 13880 03822 9.1 1961 RURAL GWClass02 1 22.5 LA0625501 03937 12960 6.1 1977 RURAL GWClass04 19 22.5 LA0631701 03937 12960 6.1 1977 RURAL GWClass04 0 22.5 AT0631903 03937 03937 6.7 1962 URBAN GWClass04 0 LF0631903 03937 03937 6.7 1962 URBAN GWClass04 16 22.5 SI0631903 03937 03937 6.7 1962 URBAN GWClass04 23 22.5 AT0632003 03951 13957 6.1 1981 RURAL GWClass02 0 LF0632003 03951 13957 6.1 1981 RURAL GWClass02 14 17.5 SI0632003 03951 13957 6.1 1981 RURAL GWClass02 15 17.5 AT0632606 23047 23047 7 1963 RURAL GWClass10 0 LF0632606 23047 23047 7 1963 RURAL GWClass10 13 17.5 SI0632606 23047 23047 7 1963 RURAL GWClass10 14 17.5 AT0632608 24232 24229 6.1 1961 RURAL GWClass05 0 LF0632608 24232 24229 6.1 1961 RURAL GWClass05 1 12.5 SI0632608 24232 24229 6.1 1961 RURAL GWClass05 1 12.5 AT0634001 13873 13874 6.1 1961 RURAL GWClass02 0 SI0634001 13873 13874 6.1 1961 RURAL GWClass02 47 17.5 AT0635301 03160 23169 6.1 1980 URBAN GWClass02 0 SI0635301 03160 23169 6.1 1980 URBAN GWClass02 6 17.5 AT0713618 24225 24225 6.1 1961 URBAN GWClass02 0 SI0713618 24225 24225 6.1 1961 URBAN GWClass02 67 12.5 AT0713705 23160 23183 10.1 1961 RURAL GWClass05 0 LF0713705 23160 23183 10.1 1961 RURAL GWClass05 25 22.5 SI0713705 23160 23183 10.1 1961 RURAL GWClass05 25 22.5 WP0715007 93734 13739 6.1 1961 URBAN GWClass01 177 12.5 WP0715216 23230 23174 9.1 1961 URBAN GWClass11 0 22.5 AT0716701 03879 93817 6.1 1973 RURAL GWClass09 0 SI0716701 03879 93817 6.1 1973 RURAL GWClass09 11 12.5 WP0720506 14764 14764 6.1 1961 RURAL GWClass04 36 7.5 AT0720803 12842 12842 6.7 1961 RURAL GWClass11 0 LA0720803 12842 12842 6.7 1961 RURAL GWClass11 139 22.5 LF0720803 12842 12842 6.7 1961 RURAL GWClass11 148 22.5 SI0720803 12842 12842 6.7 1961 RURAL GWClass11 132 22.5 WP0721305 14826 94847 6.1 1961 URBAN GWClass02 33 12.5 WP0722107 12842 12842 6.7 1961 RURAL GWClass11 56 22.5 AT0722503 23062 94018 6.1 1961 URBAN GWClass02 0 SI0722503 23062 94018 6.1 1961 URBAN GWClass02 37 12.5 AT0722505 12839 12839 7 1961 URBAN GWClass02 0 SI0722505 12839 12839 7 1961 URBAN GWClass02 122 27.5 LF0722705 14735 04725 6.7 1961 URBAN GWClass04 48 7.5 (continued)

### Table 16A-1. (continued) Appendix 16A Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp



### 16-25 AT0723607 12912 13958 6.1 1973 RURAL GWClass02 0 SI0723607 12912 13958 6.1 1973 RURAL GWClass02 44 22.5 AT0724206 13723 13723 6.1 1961 RURAL GWClass01 0 SI0724206 13723 13723 6.1 1961 RURAL GWClass01 43 17.5 WP0724206 13723 13723 6.1 1961 RURAL GWClass01 42 17.5 WP0724301 13963 13893 6.7 1962 RURAL GWClass04 69 17.5 WP0724804 93734 14737 6.1 1961 RURAL GWClass02 158 12.5 WP0724909 24143 24037 12.2 1961 RURAL GWClass10 21 7.5 AT0730407 94823 94823 6.1 1961 RURAL GWClass02 0 LF0730407 94823 94823 6.1 1961 RURAL GWClass02 22 12.5 SI0730407 94823 94823 6.1 1961 RURAL GWClass02 21 12.5 AT0730502 03879 93817 6.1 1973 URBAN GWClass02 0 SI0730502 03879 93817 6.1 1973 URBAN GWClass02 68 12.5 WP0730502 03879 93817 6.1 1973 URBAN GWClass02 68 12.5 AT0730914 12912 13958 6.1 1973 RURAL GWClass02 0 LF0730914 12912 13958 6.1 1973 RURAL GWClass02 40 22.5 SI0730914 12912 13958 6.1 1973 RURAL GWClass02 39 22.5 WP0730914 12912 13958 6.1 1973 RURAL GWClass02 42 22.5 AT0731111 14735 04725 6.7 1961 URBAN GWClass04 0 SI0731111 14735 04725 6.7 1961 URBAN GWClass04 82 7.5 AT0731405 93734 13781 6.1 1961 RURAL GWClass02 0 SI0731405 93734 13781 6.1 1961 RURAL GWClass02 28 12.5 WP0731411 23230 93193 6.1 1961 RURAL GWClass04 33 17.5 AT0731412 14764 14739 6.7 1961 RURAL GWClass01 0 SI0731412 14764 14739 6.7 1961 RURAL GWClass01 104 7.5 WP0731412 14764 14739 6.7 1961 RURAL GWClass01 76 7.5 AT0731501 94789 14734 6.1 1961 URBAN GWClass10 0 SI0731501 94789 14734 6.1 1961 URBAN GWClass10 68 12.5 AT0731507 13723 13722 6.1 1961 RURAL GWClass10 0 SI0731507 13723 13722 6.1 1961 RURAL GWClass10 22 17.5 WP0731507 13723 13722 6.1 1961 RURAL GWClass10 16 17.5 AT0731514 14842 94846 6.1 1961 RURAL GWClass02 0 LF0731514 14842 94846 6.1 1961 RURAL GWClass02 25 12.5 SI0731514 14842 94846 6.1 1961 RURAL GWClass02 16 12.5 LF0731703 93734 13739 6.1 1961 RURAL GWClass02 217 12.5 LF0732110 14735 14777 10.1 1961 URBAN GWClass10 122 12.5 WP0732405 23230 23232 6.1 1961 URBAN GWClass04 109 17.5 WP0732510 14842 94846 6.1 1961 RURAL GWClass02 120 12.5 AT0733203 23230 23232 6.1 1961 RURAL GWClass04 0 SI0733203 23230 23232 6.1 1961 RURAL GWClass04 24 17.5 AT0733210 94823 14895 6.1 1961 RURAL GWClass02 0 LF0733210 94823 14895 6.1 1961 RURAL GWClass02 62 12.5 (continued)

### Table 16A-1. (continued) Appendix 16A Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp



### 16-26 SI0733210 94823 14895 6.1 1961 RURAL GWClass02 59 12.5 AT0733302 03860 93820 7 1962 URBAN GWClass02 0 SI0733302 03860 93820 7 1962 URBAN GWClass02 45 12.5 WP0733302 03860 93820 7 1962 URBAN GWClass02 45 12.5 LF0733404 94823 14778 6.1 1961 RURAL GWClass02 53 12.5 WP0733404 94823 14778 6.1 1961 RURAL GWClass02 51 12.5 AT0733501 13723 03812 6.1 1973 RURAL GWClass01 0 SI0733501 13723 03812 6.1 1973 RURAL GWClass01 109 17.5 AT0733606 93734 13739 6.1 1961 RURAL GWClass01 0 SI0733606 93734 13739 6.1 1961 RURAL GWClass01 49 12.5 WP0733606 93734 13739 6.1 1961 RURAL GWClass01 63 12.5 WP0734604 93734 13739 6.1 1961 URBAN GWClass10 135 12.5 AT0735309 13967 13968 7 1961 RURAL GWClass02 0 LF0735309 13967 13968 7 1961 RURAL GWClass02 106 17.5 SI0735309 13967 13968 7 1961 RURAL GWClass02 100 17.5 AT0826707 13723 13723 6.1 1961 RURAL GWClass01 0 SI0826707 13723 13723 6.1 1961 RURAL GWClass01 77 17.5 LF0830601 13897 03856 7.6 1961 RURAL GWClass01 21 17.5 AT0830903 14735 14742 6.1 1961 RURAL GWClass04 0 LF0830903 14735 14742 6.1 1961 RURAL GWClass04 20 7.5 SI0830903 14735 14742 6.1 1961 RURAL GWClass04 16 7.5 WP0831102 14764 14764 6.1 1961 URBAN GWClass01 84 7.5 AT0831406 03940 13865 6.1 1974 RURAL GWClass04 0 LF0831406 03940 13865 6.1 1974 RURAL GWClass04 8 17.5 SI0831406 03940 13865 6.1 1974 RURAL GWClass04 9 17.5 AT0831904 13873 03813 7 1961 RURAL GWClass02 0 LA0831904 13873 03813 7 1961 RURAL GWClass02 91 22.5 LF0831904 13873 03813 7 1961 RURAL GWClass02 64 22.5 SI0831904 13873 03813 7 1961 RURAL GWClass02 71 22.5 LF0832304 14898 14898 6.1 1961 URBAN GWClass04 74 7.5 WP0832304 14898 14898 6.1 1961 URBAN GWClass04 43 7.5 AT0832510 14735 14777 10.1 1961 RURAL GWClass10 0 SI0832510 14735 14777 10.1 1961 RURAL GWClass10 43 12.5 WP0832510 14735 14777 10.1 1961 RURAL GWClass10 45 12.5 AT0832903 03937 13970 6.1 1962 RURAL GWClass04 0 SI0832903 03937 13970 6.1 1962 RURAL GWClass04 10 22.5 WP0832903 03937 13970 6.1 1962 RURAL GWClass04 8 22.5 AT0832904 13873 13873 6.1 1961 RURAL GWClass01 0 SI0832904 13873 13873 6.1 1961 RURAL GWClass01 49 17.5 AT0832909 13840 93815 6.7 1961 URBAN GWClass04 0 SI0832909 13840 93815 6.7 1961 URBAN GWClass04 38 12.5 LF0833001 13723 03812 6.1 1973 RURAL GWClass01 152 17.5 (continued)

### Table 16A-1. (continued) Appendix 16A Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp



### 16-27 AT0833007 14898 14898 6.1 1961 RURAL GWClass04 0 LF0833007 14898 14898 6.1 1961 RURAL GWClass04 76 7.5 SI0833007 14898 14898 6.1 1961 RURAL GWClass04 52 7.5 AT0834009 93734 13739 6.1 1961 RURAL GWClass01 0 SI0834009 93734 13739 6.1 1961 RURAL GWClass01 73 12.5 WP0923004 14826 94860 6.1 1973 RURAL GWClass09 73 7.5 AT0930205 13723 13723 6.1 1961 RURAL GWClass01 0 SI0930205 13723 13723 6.1 1961 RURAL GWClass01 91 17.5 WP0930205 13723 13723 6.1 1961 RURAL GWClass01 89 17.5 AT0930301 24157 24243 10.1 1961 RURAL GWClass10 0 LF0930301 24157 24243 10.1 1961 RURAL GWClass10 10 12.5 SI0930301 24157 24243 10.1 1961 RURAL GWClass10 11 12.5 WP0930301 24157 24243 10.1 1961 RURAL GWClass10 10 12.5 AT0930702 12912 13958 6.1 1973 RURAL GWClass02 0 LF0930702 12912 13958 6.1 1973 RURAL GWClass02 8 22.5 SI0930702 12912 13958 6.1 1973 RURAL GWClass02 9 22.5 AT0932103 13873 13883 6.1 1961 RURAL GWClass04 0 LF0932103 13873 13883 6.1 1961 RURAL GWClass04 47 17.5 SI0932103 13873 13883 6.1 1961 RURAL GWClass04 47 17.5 WP0932103 13873 13883 6.1 1961 RURAL GWClass04 46 17.5 AT0932507 93734 14737 6.1 1961 URBAN GWClass02 0 SI0932507 93734 14737 6.1 1961 URBAN GWClass02 137 12.5 WP0932507 93734 14737 6.1 1961 URBAN GWClass02 136 12.5 AT0932509 24157 24157 6.1 1961 RURAL GWClass09 0 LF0932509 24157 24157 6.1 1961 RURAL GWClass09 48 12.5 SI0932509 24157 24157 6.1 1961 RURAL GWClass09 50 12.5 WP0932509 24157 24157 6.1 1961 RURAL GWClass09 43 12.5 AT0932903 03937 12960 6.1 1977 RURAL GWClass04 0 LF0932903 03937 12960 6.1 1977 RURAL GWClass04 16 22.5 SI0932903 03937 12960 6.1 1977 RURAL GWClass04 18 22.5 AT0933704 03860 13877 6.1 1962 RURAL GWClass02 0 SI0933704 03860 13877 6.1 1962 RURAL GWClass02 58 12.5 LA1010805 24157 24155 6.1 1961 URBAN GWClass10 240 12.5 AT1012203 94789 94728 6.1 1961 RURAL GWClass10 0 LF1012203 94789 94728 6.1 1961 RURAL GWClass10 71 12.5 SI1012203 94789 94728 6.1 1961 RURAL GWClass10 71 12.5 WP1012203 94789 94728 6.1 1961 RURAL GWClass10 71 12.5 AT1013209 23230 93193 6.1 1961 RURAL GWClass04 0 SI1013209 23230 93193 6.1 1961 RURAL GWClass04 50 17.5 LF1014805 12832 93805 7.6 1978 RURAL GWClass02 51 22.5 LF1015510 23047 23042 7.6 1963 RURAL GWClass05 13 17.5 AT1023705 14733 14768 6.1 1961 RURAL GWClass04 0 (continued)

### Table 16A-1. (continued) Appendix 16A Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp



### 16-28 SI1023705 14733 14768 6.1 1961 RURAL GWClass04 60 7.5 LA1031503 13996 03928 7.6 1961 RURAL GWClass05 10 12.5 AT1031507 23230 93193 6.1 1961 RURAL GWClass04 0 SI1031507 23230 93193 6.1 1961 RURAL GWClass04 134 17.5 AT1032715 13897 03856 7.6 1961 RURAL GWClass02 0 SI1032715 13897 03856 7.6 1961 RURAL GWClass02 81 17.5 AT1032802 13723 13722 6.1 1961 RURAL GWClass01 0 LA1032802 13723 13722 6.1 1961 RURAL GWClass01 53 17.5 LF1032802 13723 13722 6.1 1961 RURAL GWClass01 48 17.5 SI1032802 13723 13722 6.1 1961 RURAL GWClass01 48 17.5 AT1033107 14826 14840 6.1 1961 URBAN GWClass09 0 SI1033107 14826 14840 6.1 1961 URBAN GWClass09 121 7.5 AT1033114 93755 93730 6.1 1981 RURAL GWClass04 0 SI1033114 93755 93730 6.1 1981 RURAL GWClass04 40 12.5 LA1033202 13967 13968 7 1961 URBAN GWClass02 1 17.5 AT1033602 14826 94860 6.1 1973 RURAL GWClass09 0 LA1033602 14826 94860 6.1 1973 RURAL GWClass09 122 12.5 SI1033602 14826 94860 6.1 1973 RURAL GWClass09 52 12.5 LA1034005 13873 13873 6.1 1961 RURAL GWClass01 54 17.5 WP1034005 13873 13873 6.1 1961 RURAL GWClass01 46 17.5 AT1034210 14735 04725 6.7 1961 RURAL GWClass04 0 LA1034210 14735 04725 6.7 1961 RURAL GWClass04 65 7.5 SI1034210 14735 04725 6.7 1961 RURAL GWClass04 52 7.5 AT1034406 03940 03940 10.1 1973 RURAL GWClass05 0 SI1034406 03940 03940 10.1 1973 RURAL GWClass05 22 17.5 AT1034805 03946 13995 6.1 1973 RURAL GWClass02 0 SI1034805 03946 13995 6.1 1973 RURAL GWClass02 22 17.5 AT1035117 13996 03947 9.8 1973 RURAL GWClass05 0 SI1035117 13996 03947 9.8 1973 RURAL GWClass05 21 12.5 AT1035405 24131 24131 6.1 1961 RURAL GWClass10 0 SI1035405 24131 24131 6.1 1961 RURAL GWClass10 89 12.5 AT1035508 24127 24156 6.1 1961 RURAL GWClass05 0 LA1035508 24127 24156 6.1 1961 RURAL GWClass05 101 7.5 SI1035508 24127 24156 6.1 1961 RURAL GWClass05 90 7.5 AT1120904 14735 14742 6.1 1961 RURAL GWClass10 0 SI1120904 14735 14742 6.1 1961 RURAL GWClass10 20 7.5 AT1122705 03860 13877 6.1 1962 RURAL GWClass02 0 SI1122705 03860 13877 6.1 1962 RURAL GWClass02 37 12.5 AT1131103 03937 12916 6.1 1962 URBAN GWClass13 0 SI1131103 03937 12916 6.1 1962 URBAN GWClass13 64 22.5 LA1131802 23230 23232 6.1 1961 RURAL GWClass01 4 12.5 LA1133902 13873 03870 7 1963 URBAN GWClass01 100 17.5 (continued)

### Table 16A-1. (continued) Appendix 16A Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp



### 16-29 LA1134405 03946 03945 6.1 1975 RURAL GWClass04 80 12.5 AT1212301 14764 14739 6.7 1961 RURAL GWClass01 0 SI1212301 14764 14739 6.7 1961 RURAL GWClass01 97 12.5 AT1221704 12842 12842 6.7 1961 URBAN GWClass02 0 SI1221704 12842 12842 6.7 1961 URBAN GWClass02 242 22.5 WP1221704 12842 12842 6.7 1961 URBAN GWClass02 253 22.5 AT1223404 93734 13739 6.1 1961 URBAN GWClass01 0 SI1223404 93734 13739 6.1 1961 URBAN GWClass01 117 12.5 AT1230111 24143 24033 7.6 1961 RURAL GWClass05 0 SI1230111 24143 24033 7.6 1961 RURAL GWClass05 44 7.5 AT1230206 13963 13893 6.7 1962 RURAL GWClass05 0 SI1230206 13963 13893 6.7 1962 RURAL GWClass05 3 17.5 AT1230517 93734 93721 6.1 1961 RURAL GWClass01 0 SI1230517 93734 93721 6.1 1961 RURAL GWClass01 51 12.5 WP1230919 14735 14735 6.1 1961 URBAN GWClass04 4 7.5 AT1231101 13963 13893 6.7 1962 RURAL GWClass05 0 LA1231101 13963 13893 6.7 1962 RURAL GWClass05 0 17.5 SI1231101 13963 13893 6.7 1962 RURAL GWClass05 0 17.5 AT1231705 13880 13880 6.1 1961 RURAL GWClass02 0 LA1231705 13880 13880 6.1 1961 RURAL GWClass02 36 17.5 SI1231705 13880 13880 6.1 1961 RURAL GWClass02 34 17.5 AT1233101 23230 23174 9.1 1961 URBAN GWClass04 0 SI1233101 23230 23174 9.1 1961 URBAN GWClass04 8 17.5 AT1235205 13967 13967 6.1 1961 RURAL GWClass02 0 SI1235205 13967 13967 6.1 1961 RURAL GWClass02 62 17.5 WP1235205 13967 13967 6.1 1961 RURAL GWClass02 62 17.5 AT1236637 94789 94728 6.1 1961 RURAL GWClass10 0 SI1236637 94789 94728 6.1 1961 RURAL GWClass10 94 12.5 AT1236652 14735 14740 10.1 1961 RURAL GWClass02 0 SI1236652 14735 14740 10.1 1961 RURAL GWClass02 36 12.5 WP1236732 13723 13741 9.1 1961 RURAL GWClass02 51 12.5 WP1236810 23230 23174 9.1 1961 URBAN GWClass04 7 17.5 AT1236820 14735 04725 6.7 1961 RURAL GWClass10 0 SI1236820 14735 04725 6.7 1961 RURAL GWClass10 31 7.5 AT1331103 13897 03856 7.6 1961 URBAN GWClass02 0 SI1331103 13897 03856 7.6 1961 URBAN GWClass02 25 17.5 LA1333001 13873 13883 6.1 1961 RURAL GWClass04 33 17.5 WP1333701 94823 14852 6.1 1961 URBAN GWClass10 37 12.5 WP1415407 23160 23183 10.1 1961 URBAN GWClass05 3 17.5 WP1421506 94240 24233 6.1 1974 URBAN GWClass09 7 12.5 AT1430107 13996 03928 7.6 1961 URBAN GWClass05 0 LF1430107 13996 03928 7.6 1961 URBAN GWClass05 11 12.5 (continued)

### Table 16A-1. (continued) Appendix 16A Site-Based Meteorological Station and Aquifer Data

Setting_ID Meteorological Station Site RuralStr Aquifer Upper Air

Station Surface Station AnemHght StartYr GWClass NumAquWell AquTemp



### 16-30 SI1430107 13996 03928 7.6 1961 URBAN GWClass05 8 12.5 AT1430404 13840 93819 6.1 1961 URBAN GWClass04 0 SI1430404 13840 93819 6.1 1961 URBAN GWClass04 122 12.5 AT1430602 23230 23234 10.1 1961 URBAN GWClass11 0 SI1430602 23230 23234 10.1 1961 URBAN GWClass11 3 7.5 AT1431515 24127 24127 6.1 1961 RURAL GWClass05 0 SI1431515 24127 24127 6.1 1961 RURAL GWClass05 7 12.5 AT1434022 23230 23174 9.1 1961 URBAN GWClass04 0 SI1434022 23230 23174 9.1 1961 URBAN GWClass04 5 17.5 AT1434802 13873 13883 6.1 1961 URBAN GWClass04 0 SI1434802 13873 13883 6.1 1961 URBAN GWClass04 47 17.5 LF1435317 03937 12917 10.1 1962 RURAL GWClass04 0 22.5 LA1522504 93734 13781 6.1 1961 RURAL GWClass01 44 12.5 AT1530605 03937 12917 10.1 1962 RURAL GWClass04 0 LF1530605 03937 12917 10.1 1962 RURAL GWClass04 22 22.5 SI1530605 03937 12917 10.1 1962 RURAL GWClass04 21 22.5 AT1530808 14826 94847 6.1 1961 RURAL GWClass02 0 SI1530808 14826 94847 6.1 1961 RURAL GWClass02 0 12.5 WP1532401 14735 14742 6.1 1961 RURAL GWClass10 36 7.5 AT1621808 13873 13874 6.1 1961 RURAL GWClass01 0 LA1621808 13873 13874 6.1 1961 RURAL GWClass01 96 17.5 SI1621808 13873 13874 6.1 1961 RURAL GWClass01 82 17.5 AT1630106 13723 03812 6.1 1973 RURAL GWClass01 0 LF1630106 13723 03812 6.1 1973 RURAL GWClass01 49 17.5 SI1630106 13723 03812 6.1 1973 RURAL GWClass01 49 17.5 WP1630106 13723 03812 6.1 1973 RURAL GWClass01 48 17.5 WP1630401 13897 13891 6.7 1961 URBAN GWClass02 11 17.5 AT1631701 13723 13722 6.1 1961 RURAL GWClass02 0 LA1631701 13723 13722 6.1 1961 RURAL GWClass02 142 17.5 SI1631701 13723 13722 6.1 1961 RURAL GWClass02 75 17.5 AT1632106 23044 23044 9.8 1961 URBAN GWClass05 0 LA1632106 23044 23044 9.8 1961 URBAN GWClass05 118 17.5 SI1632106 23044 23044 9.8 1961 URBAN GWClass05 107 17.5 LF1632703 13873 03870 7 1963 RURAL GWClass01 117 17.5 AT1633404 23160 23183 10.1 1961 RURAL GWClass05 0 SI1633404 23160 23183 10.1 1961 RURAL GWClass05 82 17.5 AT1633405 14735 14740 10.1 1961 RURAL GWClass01 0 SI1633405 14735 14740 10.1 1961 RURAL GWClass01 82 12.5 AT1635404 13723 03812 6.1 1973 RURAL GWClass01 0 SI1635404 13723 03812 6.1 1973 RURAL GWClass01 59 17.5 AT1721603 24232 24229 6.1 1961 RURAL GWClass02 0 SI1721603 24232 24229 6.1 1961 RURAL GWClass02 114 12.5

### Appendix 16B Regional Aquifer Data



### 16-31 

# Appendix 16B
Regional Aquifer Data

Table 16B-1. Regional Aquifer Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16-33

### Appendix 16B Regional Aquifer Data



### 16-32 This page intentionally left blank

### Appendix 16B Regional Aquifer Data



### 16-33 Table 16B-1. Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad 1 -999 2.59E+01 -999 1.66E-02 1 3.15E+00 1.68E+01 1.52E+02 -999 1 -999 1.52E+01 1.52E+01 -999 1 -999 6.10E+02 -999 1.00E-04 1 -999 5.79E+00 9.14E+00 5.00E-02 1 9.46E+02 4.57E+00 -999 1.40E-02 1 1.58E+03 3.05E+00 -999 1.40E-02 1 6.31E+01 4.88E+00 1.22E+01 7.00E-02 1 3.47E+03 6.10E+00 1.52E+02 3.00E-02 1 2.84E+01 2.04E+00 9.14E+00 1.00E-02 1 1.26E+02 6.10E+00 7.32E+00 3.00E-02 1 1.58E+01 3.81E+00 3.29E+01 9.00E-02 1 3.15E+02 2.13E+01 3.05E+00 -999 1 -999 6.10E+00 6.10E+00 7.00E-06 1 1.10E+04 3.05E+00 1.83E+01 2.00E-02 1 9.46E+01 1.83E+00 4.27E+00 4.00E-02 1 -999 1.22E+00 9.14E+00 1.00E-02 1 7.57E+03 1.52E+00 3.05E+00 7.00E-06 1 6.31E+00 9.14E-01 6.10E+00 3.80E-02 1 6.31E+00 1.83E+00 7.62E+00 1.00E-01 1 3.15E+01 6.10E+00 -999 6.00E-02 1 3.15E+01 3.05E-01 6.10E+00 5.00E-03 1 -999 9.14E+00 1.52E+02 8.00E-03 1 -8.52129 2.81441 3.76962 -3.97399 mean 1 6.82319 1.07478 1.80348 -0.39418 covariance matrix 1 1.07478 0.8005 0.55257 0.4367 1 1.80348 0.55257 1.1956 0.17788 1 -0.39418 0.4367 0.17788 0.81424 1 3.15 0.305 3.05 7.00E-06 minimum 1 11000 610 152 0.81424 maximum 2 6.31E+01 6.10E+00 2.29E+01 8.00E-02 2 2.84E+01 6.10E+00 7.93E+01 -999 2 1.89E+03 7.65E+01 -999 8.00E-03 2 5.99E+03 3.05E+01 1.83E+02 1.00E-03 2 3.15E+02 6.55E+01 4.57E+01 5.70E-03 2 3.15E+01 1.52E+01 2.13E+01 1.00E-01 2 1.58E+03 1.74E+02 3.05E+01 -999 2 3.15E+02 5.97E+00 3.60E+00 -999 2 2.21E+01 1.22E+01 1.07E+01 2.80E-02 2 2.84E+02 1.68E+01 3.05E+00 3.20E-03 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-34 2 9.46E+00 6.10E+00 1.52E+02 3.10E-02 2 2.21E+02 9.14E+00 -999 8.00E-03 2 3.15E+00 3.96E+00 4.57E+00 1.00E-02 2 3.15E+00 4.57E+00 9.14E+01 1.00E-03 2 2.21E+03 1.52E+01 3.05E+01 3.30E-02 2 1.10E+04 1.83E+01 9.14E+01 -999 2 1.26E+02 1.34E+01 7.62E+00 4.00E-03 2 1.33E+03 6.10E+00 2.13E+01 5.00E-03 2 3.15E+04 1.83E+00 3.05E+00 -999 2 -999 4.27E+00 8.90E+01 -999 2 1.89E+03 5.36E+01 6.10E+00 4.30E-02 2 9.78E+03 1.83E+01 3.05E+01 1.20E-02 2 6.31E+00 1.22E+01 2.44E+01 1.50E-02 2 3.15E+00 1.22E+01 1.22E+01 2.50E-02 2 1.26E+01 3.70E+00 3.00E+01 1.00E-02 2 2.21E+07 9.14E+00 1.52E+00 1.00E+00 2 3.47E+04 1.22E+01 4.57E+00 8.00E-03 2 3.15E+04 1.52E+01 6.10E+00 5.00E-02 2 3.15E+00 3.66E+00 9.14E+00 4.00E-02 2 3.15E+02 9.14E+00 2.13E+01 5.00E-03 2 3.15E+02 8.53E+00 1.90E+01 2.50E-02 2 -999 4.88E+00 -999 -999 2 -999 3.05E+00 -999 2.40E-02 2 6.31E+01 4.57E+00 1.98E+01 4.00E-02 2 1.89E+02 6.10E+00 6.10E+01 2.30E-02 2 2.21E+07 4.57E+00 1.83E+00 1.00E+00 2 -999 1.83E+02 1.22E+01 4.00E-04 2 2.21E+01 2.74E+00 3.05E+00 -999 2 1.89E+02 1.52E+01 6.10E+01 1.20E-02 2 1.10E+04 1.52E+01 2.29E+01 5.00E-04 2 -999 3.66E+00 1.83E+01 -999 2 6.31E+01 8.23E+00 5.18E+02 7.00E-03 2 1.26E+02 4.57E+00 1.07E+02 3.00E-02 2 -999 1.52E+00 9.14E+01 -999 2 -7.68877 3.4698 4.2618 -4.42479 mean 2 12.3279 1.32509 0.47331 -1.46902 covariance matrix 2 1.32509 0.54208 -0.01357 -0.1757 2 0.47331 -0.01357 1.61831 -0.39626 2 -1.46902 -0.1757 -0.39626 1.75145 2 3.15E+00 1.52E+00 1.52E+00 4.00E-04 minimum 2 2.21E+07 1.83E+02 5.18E+02 1.00E+00 maximum (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-35 3 2.55E+04 3.66E+00 3.66E+00 9.00E-04 3 9.46E+02 9.14E+00 5.33E+00 5.00E-03 3 1.26E+03 1.77E+00 6.10E+00 4.00E-09 3 2.84E+01 6.10E+00 -999 3.40E-02 3 3.78E+03 1.68E+01 1.52E+00 4.00E-02 3 2.68E+03 6.71E+00 2.44E+00 9.00E-03 3 3.15E+01 9.45E+00 -999 5.00E-02 3 -999 7.62E+00 -999 1.00E-02 3 6.31E+01 2.30E+00 4.12E+00 7.00E-03 3 6.62E+03 3.05E+01 2.13E+01 2.00E-02 3 1.26E+02 3.06E+00 1.52E+01 1.00E-02 3 3.15E+01 -999 -999 1.00E-02 3 8.83E+03 5.33E+00 4.57E+01 5.00E-04 3 1.58E+02 9.14E-01 4.57E+00 3.00E-03 3 6.31E+00 1.37E+00 3.66E+00 2.70E-02 3 9.46E+00 2.56E+00 2.74E+00 4.20E-02 3 -7.81342 2.72776 2.93298 -4.6888 mean 3 21.2765 2.78074 0.6463 -1.30916 covariance matrix 3 2.78074 1.07038 0.17468 0.29718 3 0.6463 0.17468 0.96341 -0.64536 3 -1.30916 0.29718 -0.64536 1.9708 3 6.31E+00 9.14E-01 1.52E+00 4.00E-09 minimum 3 2.55E+04 3.05E+01 4.57E+01 5.00E-02 maximum 4 5.08E+04 4.57E+00 9.14E+00 5.00E-03 4 1.39E+04 -999 3.35E+01 2.80E-02 4 -999 6.10E+00 -999 -999 4 -999 1.22E+01 4.57E+00 1.00E-02 4 1.58E+03 2.13E+00 1.22E+01 1.00E-03 4 3.15E+00 1.98E+01 2.44E+00 7.00E-03 4 1.26E+01 4.57E+00 1.07E+01 7.00E-02 4 -999 9.14E-01 6.10E+00 4.30E-02 4 2.52E+03 1.52E+00 3.05E+00 2.00E-02 4 3.15E+03 2.44E+00 -999 2.00E-06 4 9.46E+00 1.83E+00 6.04E+00 5.50E-02 4 9.46E+01 6.10E-01 3.96E+00 6.00E-03 4 -999 6.98E+00 5.33E+01 -999 4 1.16E+05 1.52E+01 7.62E+01 4.00E-03 4 1.26E+04 7.62E+00 6.40E+00 4.90E-02 4 4.10E+03 2.13E+00 3.20E+01 3.00E-03 4 -999 1.07E+01 8.53E+00 6.00E-04 4 -999 6.10E-01 7.62E+00 1.00E-03 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-36 4 3.15E+03 3.05E-01 9.14E+00 3.00E-03 4 2.21E+02 1.52E+00 7.62E+00 4.00E-03 4 -999 4.57E+00 2.74E+01 1.50E-02 4 3.15E+00 3.05E+00 3.05E+00 2.00E-02 4 6.31E+02 2.44E+00 7.62E+00 5.00E-03 4 -999 5.08E+01 1.45E+02 9.20E-02 4 -999 1.52E+01 6.10E+00 1.00E-07 4 3.15E+01 3.35E+01 -999 2.30E-02 4 3.15E+02 9.14E+00 3.05E+00 2.00E-03 4 4.42E+03 1.52E+00 1.98E+01 2.00E-03 4 6.31E+02 2.21E+00 3.32E-01 1.00E-03 4 -999 1.22E+00 -999 -999 4 -999 9.14E+00 3.05E+00 5.00E-03 4 7.88E+03 2.29E+01 3.05E+00 2.00E-02 4 5.36E+03 3.05E+00 6.10E+00 1.00E-03 4 -6.82634 2.65875 3.3063 -4.9212 mean 4 9.60704 0.51036 1.46619 -1.4956 covariance matrix 4 0.51036 1.5223 -0.01024 0.0939 4 1.46619 -0.01024 1.28413 -0.02391 4 -1.4956 0.0939 -0.02391 1.83998 4 3.15E+00 3.05E-01 3.32E-01 1.00E-07 minimum 4 1.16E+05 5.08E+01 1.45E+02 9.20E-02 maximum 5 5.68E+03 3.05E+00 2.13E+01 2.00E-03 5 -999 9.14E-01 3.96E+00 -999 5 9.46E+02 -999 1.52E+01 9.30E-02 5 -999 3.05E+00 6.10E+00 1.00E-02 5 1.58E+05 6.10E+00 3.05E+00 1.00E-04 5 6.31E+04 5.18E+00 1.52E+00 5.00E-03 5 -999 6.10E+00 3.05E+00 5.00E-03 5 1.56E+01 3.81E+01 1.52E+00 2.50E-02 5 1.26E+05 4.57E+00 4.57E+00 1.00E-03 5 -999 4.57E+00 2.29E+01 3.00E-02 5 7.57E+03 3.05E+01 -999 -999 5 -999 1.01E+02 1.52E+01 5.00E-02 5 1.58E+03 3.35E+01 9.14E+02 1.00E-03 5 3.15E+04 3.05E+01 2.44E+01 1.00E-03 5 -999 9.75E+00 1.52E+01 -999 5 6.31E+00 3.38E+00 7.62E+00 3.00E-03 5 -999 3.29E+01 4.57E+00 -999 5 2.37E+04 4.27E+01 6.10E+00 3.00E-03 5 -999 1.07E+01 1.07E+00 -999 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-37 5 1.58E+03 1.98E+01 2.44E+01 5.00E-03 5 1.26E+03 2.44E+00 -999 -999 5 3.15E+03 1.22E+01 3.81E+00 -999 5 1.26E+02 1.52E+01 4.57E+00 2.00E-03 5 9.46E+02 3.05E+00 3.05E+00 2.00E-03 5 -999 4.57E+00 -999 -999 5 -999 2.44E+00 -999 -999 5 1.39E+03 3.41E+01 9.14E+01 3.00E-03 5 -999 1.22E+01 8.53E+01 -999 5 -999 3.66E+00 -999 -999 5 -999 2.74E+01 -999 6.00E-03 5 -999 1.59E+01 1.62E+01 4.00E-04 5 9.46E+01 7.01E+00 9.14E+00 3.00E-04 5 2.84E+03 4.27E+01 3.05E+01 2.00E-03 5 1.58E+02 1.30E+01 1.30E+02 1.00E-03 5 -999 1.83E+01 3.66E+00 1.00E-02 5 1.26E+03 7.32E+00 1.83E+01 1.00E-04 5 6.31E+01 8.23E+01 -999 -999 5 1.58E+04 3.66E+01 -999 1.00E-03 5 3.47E+03 7.62E+00 1.52E+01 2.00E-02 5 -999 1.22E+01 1.52E+01 1.00E-03 5 1.26E+02 1.83E+00 1.10E+01 2.00E-03 5 2.21E+03 1.52E+01 9.14E+00 -999 5 3.15E+00 3.66E+00 2.44E+00 5.00E-03 5 -999 1.22E+01 4.88E+01 1.00E-02 5 -999 3.66E+01 -999 6.80E-02 5 6.37E+04 6.10E+01 -999 -999 5 3.15E+00 6.10E+01 1.52E+01 1.50E-02 5 -999 7.01E+00 1.83E+01 -999 5 6.31E+02 1.46E+01 2.44E+01 3.00E-03 5 3.19E+06 9.14E+00 3.05E-01 2.00E-06 5 3.15E+03 1.07E+01 3.05E+00 6.00E-03 5 3.15E+00 4.72E+00 1.83E+01 7.00E-02 5 9.46E+02 1.37E+01 6.10E+00 8.00E-03 5 3.15E+03 7.62E+00 7.62E+00 -999 5 3.15E+02 4.88E+00 9.14E+00 1.70E-02 5 1.10E+04 2.44E+00 6.10E+00 -999 5 -999 2.44E+00 5.18E+00 4.00E-02 5 -999 3.96E+00 1.83E+01 -999 5 1.26E+01 2.13E+00 6.10E-01 -999 5 2.21E+03 9.14E+00 1.52E+00 2.50E-02 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-38 5 -999 3.05E+00 6.10E+00 1.30E-02 5 2.21E+04 6.10E+00 9.14E+01 1.00E-03 5 -5.61434 3.43835 3.53678 -5.61773 mean 5 9.98295 0.28014 0.08839 -2.96927 covariance matrix 5 0.28014 0.8396 0.54136 0.0448 5 0.08839 0.54136 2.05569 -0.71488 5 2.96927 0.0448 -0.71488 4.17328 5 3.15E+00 9.14E-01 3.05E-01 2.00E-06 minimum 5 3.19E+06 1.01E+02 9.14E+02 9.30E-02 maximum 6 -999 1.52E+01 1.83E+01 5.00E-03 6 -999 1.83E+00 9.14E+00 2.00E-03 6 3.15E+02 4.88E+00 1.52E+01 1.00E-03 6 6.31E+02 8.53E+00 9.14E+00 1.00E-02 6 1.07E+05 3.51E+00 7.32E+00 5.00E-03 6 1.89E+03 2.44E+01 3.66E+01 1.00E-03 6 3.15E+00 2.74E+00 3.66E+00 3.00E-03 6 -999 2.13E+01 7.62E+00 1.00E-03 6 4.10E+03 2.74E+01 3.05E+00 1.00E-03 6 1.67E+04 2.44E+00 6.40E+00 4.00E-03 6 1.10E+04 5.49E+00 1.31E+01 2.00E-03 6 3.15E+02 1.52E+00 3.05E+00 2.00E-03 6 -999 1.22E+00 1.83E+00 8.00E-03 6 1.10E+04 5.79E+00 -999 5.00E-04 6 -999 3.96E+00 4.27E+00 1.70E-02 6 -999 1.22E+01 1.68E+01 2.00E-03 6 1.58E+03 4.57E+00 7.62E+00 4.00E-02 6 3.31E+04 3.05E+01 2.29E+01 1.00E-02 6 -999 4.57E+00 7.62E+00 1.00E-01 6 2.52E+02 1.15E+01 -999 5.00E-03 6 1.42E+04 4.57E+00 1.83E+01 7.00E-04 6 3.15E+03 1.52E+00 1.52E+00 4.00E-07 6 5.68E+03 3.05E+00 6.10E+00 1.00E-03 6 1.89E+03 3.66E+00 6.10E+00 2.00E-03 6 3.15E+02 3.66E+00 6.10E-01 1.00E-06 6 3.15E+01 1.52E+00 -999 2.00E-08 6 3.15E+03 1.19E+00 3.66E+00 -999 6 1.55E+04 5.18E+00 7.93E+00 6.00E-03 6 5.52E+03 3.66E+00 5.49E+00 1.00E-02 6 3.15E+03 3.05E+00 1.68E+01 1.30E-02 6 1.58E+02 1.52E+00 3.05E+00 1.20E-02 6 2.21E+01 1.22E+00 1.37E+01 4.00E-03 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-39 6 -999 1.83E+00 9.14E+00 1.10E-02 6 9.46E+00 9.14E-01 6.10E+00 8.00E-03 6 -999 1.07E+01 1.52E+01 8.00E-05 6 -999 1.22E+01 1.22E+01 1.00E-06 6 -6.7624 2.65846 3.15814 -5.6184 mean 6 13.8058 1.67704 2.14642 -0.09303 covariance matrix 6 1.67704 0.8987 0.34951 -0.23716 6 2.14642 0.34951 0.86919 0.00252 6 -0.09303 -0.23716 0.00252 1.23921 6 3.15 0.914 0.61 2.00E-08 minimum 6 107000 30.5 36.6 0.1 maximum 7 9.46E+02 2.44E+00 8.23E+00 2.00E-03 7 1.26E+03 2.13E+00 3.05E+02 3.00E-03 7 -999 3.54E+01 -999 -999 7 6.94E+03 -999 2.29E+01 3.00E-03 7 2.33E+04 1.52E+01 3.66E+01 4.00E-03 7 4.42E+03 1.83E+00 3.81E+01 7.00E-04 7 5.61E+04 3.05E+00 1.01E+01 2.00E-03 7 5.52E+04 3.05E+00 6.10E+01 -999 7 9.46E+03 5.79E+01 9.14E+00 1.00E-06 7 -999 9.14E+00 9.14E+00 2.00E-04 7 -999 1.22E+01 9.14E+00 2.00E-03 7 9.46E+02 3.05E+00 3.05E+00 8.00E-03 7 9.78E+03 3.05E+00 3.05E+00 1.30E-02 7 -999 5.18E+00 1.22E+01 2.00E-03 7 4.42E+03 3.66E+00 1.52E+01 5.00E-03 7 4.42E+03 2.44E+01 2.13E+01 1.00E-02 7 1.58E+03 1.52E+00 2.44E+01 1.00E-02 7 8.20E+04 1.49E+01 8.53E+00 3.00E-03 7 9.46E+02 1.22E+01 1.83E+01 2.00E-06 7 1.10E+04 3.05E+00 4.57E+00 -999 7 -999 4.57E+00 1.37E+01 1.00E-02 7 6.94E+03 2.13E+00 7.99E+00 4.00E-03 7 6.31E+03 7.01E+00 5.18E+00 4.90E-02 7 2.37E+04 4.88E+00 1.83E+01 3.30E-02 7 1.77E+04 5.79E+00 4.27E+01 2.00E-03 7 1.89E+03 4.57E+00 1.07E+01 4.00E-06 7 1.45E+04 1.52E+00 1.83E+01 1.20E-02 7 1.20E+05 2.20E+01 -999 1.00E-02 7 2.52E+03 1.52E+00 6.10E+00 1.10E-02 7 1.26E+01 5.79E+00 4.27E+00 2.10E-02 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-40 7 3.15E+02 6.10E-01 4.57E+00 6.00E-03 7 3.15E+01 4.57E-01 -999 1.00E-03 7 -999 4.57E+01 3.05E+00 -999 7 -5.22204 2.81441 3.78819 -5.30668 mean 7 13.0649 -1.10808 0.50353 -0.73884 covariance matrix 7 -1.10808 1.13841 0.0496 0.26902 7 0.50353 0.0496 1.11517 -0.46202 7 -0.73884 0.26902 -0.46202 1.11713 7 1.26E+01 4.57E-01 3.05E+00 1.00E-06 minimum 7 1.20E+05 5.79E+01 3.05E+02 4.90E-02 maximum 8 6.31E+03 7.62E+00 6.10E+01 1.00E-03 8 2.40E+04 4.88E+00 2.29E+01 2.00E-03 8 3.00E+04 2.99E+00 1.89E+01 4.00E-03 8 -999 1.22E+01 6.71E+00 1.00E-03 8 2.52E+03 3.05E+00 2.13E+01 8.00E-07 8 1.10E+05 9.14E+00 2.13E+01 4.00E-03 8 1.33E+04 5.49E+00 1.22E+01 6.00E-03 8 3.78E+04 4.57E+00 9.14E+00 3.00E-03 8 1.26E+03 1.07E+01 -999 8.00E-03 8 2.21E+03 3.05E+00 2.29E+01 9.00E-04 8 9.78E+03 3.35E+00 1.52E+01 7.00E-04 8 1.89E+03 4.88E+01 3.20E+01 3.00E-02 8 3.44E+04 7.62E+00 2.62E+01 6.00E-03 8 4.42E+04 4.88E+00 1.86E+01 2.00E-03 8 1.58E+04 2.90E+01 2.44E+01 1.00E-03 8 7.25E+03 9.14E+00 3.96E+01 6.00E-04 8 1.39E+04 1.22E+01 1.22E+02 2.00E-03 8 2.90E+04 2.74E+00 1.01E+01 -999 8 9.97E+04 2.13E+00 7.01E+00 7.00E-04 8 -999 4.57E+00 6.10E+00 3.00E-03 8 1.48E+04 1.83E+00 6.10E+01 1.00E-03 8 7.88E+03 2.44E+00 3.05E+00 3.00E-02 8 -999 1.52E+01 7.62E+01 9.00E-04 8 5.68E+03 2.44E+00 6.10E+00 1.00E-03 8 1.89E+04 4.57E+00 7.62E+00 5.00E-03 8 3.88E+03 3.66E+00 7.62E+00 4.00E-03 8 -999 2.20E+01 1.83E+01 6.00E-04 8 4.73E+02 6.10E+00 4.57E+00 1.70E-02 8 1.04E+04 7.62E+00 3.05E+01 1.00E-03 8 2.21E+04 9.14E+00 7.62E+00 5.00E-03 8 2.78E+04 7.62E+00 2.44E+01 2.00E-03 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-41 8 2.78E+04 7.62E+00 2.44E+01 2.00E-03 8 -999 6.10E+00 4.57E+00 4.00E-05 8 1.10E+04 1.22E+01 3.05E+00 7.50E-02 8 1.92E+04 5.33E+00 1.22E+01 8.00E-03 8 6.31E+02 9.14E-01 1.07E+01 1.00E-02 8 1.92E+04 1.83E+01 1.07E+01 1.30E-02 8 5.05E+03 6.10E-01 1.22E+01 3.00E-03 8 -999 7.62E+00 3.05E+01 2.00E-03 8 3.31E+04 1.52E+01 3.05E+01 4.00E-04 8 -999 4.57E+00 2.29E+01 1.00E-02 8 2.21E+03 2.13E+00 3.66E+00 2.00E-02 8 6.09E+04 2.00E+01 3.05E+01 3.00E-03 8 -3.59646 2.97372 3.92385 -5.86511 mean 8 5.02 0.48626 0.15471 -0.8019 covariance matrix 8 0.4862 0.85551 0.26963 0.07004 8 0.1547 0.26963 0.75329 -0.62236 8 -0.8019 0.07004 -0.62236 1.62199 8 4.73E+02 6.10E-01 3.05E+00 8.00E-07 minimum 8 1.10E+05 4.88E+01 1.22E+02 7.50E-02 maximum 9 9.46E+02 2.10E+00 1.37E+01 5.00E-02 9 3.15E+02 1.37E+01 1.22E+01 1.00E-03 9 1.89E+01 3.66E+00 5.49E+00 8.00E-03 9 2.18E+04 6.10E+00 1.52E+01 4.00E-03 9 3.47E+03 3.96E+01 5.49E+01 1.70E-02 9 3.15E+03 2.13E+01 4.57E+00 1.00E-02 9 1.26E+02 1.00E+00 3.00E+01 -999 9 3.15E+01 7.62E+00 3.05E+00 9.00E-03 9 -999 3.05E+00 3.05E+01 5.00E-07 9 3.15E+01 5.18E+00 1.07E+01 3.00E-02 9 3.15E+02 3.96E+00 2.29E+01 7.00E-03 9 6.31E+01 4.57E+00 2.96E+00 2.20E-02 9 9.15E+02 2.44E+00 1.22E+01 7.00E-04 9 -999 7.32E+00 1.22E+01 -999 9 1.89E+03 1.83E+00 9.14E-01 5.00E-03 9 3.15E+03 7.62E+00 7.62E+00 -999 9 6.31E+02 3.66E+00 2.13E+00 -999 9 6.31E+03 2.44E+00 9.14E+00 4.00E-08 9 -999 2.13E+00 7.62E+00 9.00E-03 9 4.10E+03 1.52E+00 6.10E+00 1.00E-02 9 1.26E+02 3.05E+00 4.57E+00 5.00E-02 9 1.26E+02 3.05E+00 7.62E+00 2.00E-02 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-42 9 -999 6.10E-01 1.83E+00 -999 9 1.26E+01 1.83E+00 -999 4.00E-02 9 8.83E+03 1.52E+00 1.83E+01 4.00E-03 9 3.15E+02 1.52E+00 6.10E+00 -999 9 2.84E+02 1.74E+00 9.14E+00 1.00E-02 9 9.46E+00 1.83E+01 2.44E+00 3.00E-03 9 1.58E+03 3.35E+00 6.10E+00 4.00E-06 9 -7.67984 2.48552 3.22796 -4.68545 mean 9 11.259 0.17085 0.72472 -0.72109 covariance matrix 9 0.17085 0.87319 0.13478 -0.12094 9 0.72472 0.13478 0.81983 -0.0043 9 -0.72109 -0.12094 -0.0043 1.28625 9 9.46E+00 6.10E-01 9.14E-01 4.00E-08 minimum 9 2.18E+04 3.96E+01 5.49E+01 5.00E-02 maximum 10 -999 3.35E+00 1.46E+01 3.00E-02 10 4.42E+03 1.16E+01 5.49E+01 5.00E-03 10 2.84E+02 4.57E+00 7.62E+00 1.00E-02 10 1.96E+04 3.96E+01 2.14E+01 3.00E-04 10 1.58E+02 4.57E+00 3.05E+00 6.00E-04 10 3.15E+02 1.52E+00 6.10E+00 4.00E-03 10 -999 6.10E+00 3.66E+00 1.00E-06 10 1.26E+02 7.62E+00 2.29E+00 5.00E-03 10 3.15E+02 1.52E+01 1.07E+01 1.00E-02 10 3.15E+01 2.74E+00 6.86E+00 1.70E-02 10 1.26E+02 3.05E+00 4.12E+00 3.00E-03 10 -999 3.81E+00 6.10E+00 1.00E-05 10 -999 3.66E+00 1.52E+01 1.00E-01 10 6.31E+02 4.57E+00 9.14E-01 5.00E-03 10 3.47E+03 3.05E+00 3.05E+00 2.00E-03 10 2.21E+03 2.59E+01 7.62E+00 1.00E-05 10 -999 1.52E+00 1.52E+01 2.00E-03 10 2.84E+03 2.74E+00 4.57E+00 -999 10 -999 1.83E+00 2.44E+00 8.00E-03 10 2.21E+03 1.37E+01 7.62E+00 1.00E-02 10 1.26E+02 1.22E+01 1.22E+01 2.50E-02 10 -999 3.81E+00 1.68E+01 2.00E-03 10 -999 3.32E+00 1.83E+00 6.00E-02 10 3.15E+00 3.66E+00 1.16E+01 1.00E-02 10 2.52E+01 1.83E+00 4.57E+00 9.50E-03 10 4.42E+03 1.07E+01 9.14E+00 1.40E-02 10 -999 6.10E+00 4.27E+01 1.75E-03 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-43 10 -6.97635 2.80942 3.15655 -5.57335 mean 10 4.99889 1.27993 0.51266 -1.74813 covariance matrix 10 1.27993 0.86035 0.40799 -0.71454 10 0.51266 0.40799 0.8467 0.03369 10 -1.74813 -0.71454 0.03369 3.61694 10 3.15E+00 1.52E+00 9.14E-01 1.00E-06 minimum 10 19600 39.6 54.9 0.1 maximum 11 9.46E+02 2.13E+00 3.05E+02 1.00E-02 11 6.31E+01 2.74E+00 3.05E+01 3.00E-02 11 7.25E+03 9.14E+00 3.66E+01 6.00E-04 11 2.43E+04 4.57E+00 1.07E+01 6.80E-03 11 -999 1.52E+00 3.05E+02 1.00E-03 11 7.57E+03 3.05E+00 4.57E+01 6.00E-03 11 1.26E+04 9.14E-01 4.57E+00 5.00E-03 11 6.31E+02 9.14E-01 6.10E+00 1.00E-02 11 3.15E+03 1.52E+00 6.10E+00 -999 11 1.26E+03 1.22E+00 1.07E+01 2.00E-03 11 3.15E+01 9.14E-01 1.52E+01 5.00E-03 11 1.39E+04 1.52E+00 6.10E+01 2.00E-03 11 -999 1.68E+00 1.52E+01 2.00E-03 11 2.52E+03 2.00E+00 2.00E+00 2.00E-03 11 1.26E+03 1.22E+00 3.05E+00 1.70E-02 11 -999 9.14E-01 7.62E+00 -999 11 3.15E+02 1.52E+00 1.52E+00 5.00E-02 11 1.58E+03 2.74E+00 4.57E+00 2.30E-02 11 -999 3.35E+00 4.27E+00 1.90E-02 11 3.15E+02 3.05E+00 2.44E+01 1.00E-03 11 2.84E+02 1.07E+00 3.05E+01 3.00E-03 11 9.46E+02 2.13E+00 1.68E+00 2.00E-04 11 -999 2.74E+00 2.13E+01 3.00E-05 11 8.17E+03 7.01E+00 6.10E+00 3.30E-03 11 -999 -999 6.71E+00 -999 11 -999 3.05E+00 4.27E+01 5.00E-04 11 -5.38023 1.8991 3.7492 -5.61773 mean 11 3.48349 0.52513 -0.00422 -0.63963 covariance matrix 11 0.52513 0.46903 0.18069 -0.2284 11 -0.00429 0.18069 2.02612 -0.08327 11 -0.63963 -0.2284 -0.08327 1.97797 11 3.15E+01 9.14E-01 1.52E+00 3.00E-05 minimum 11 2.43E+04 9.14E+00 3.05E+02 5.00E-02 maximum 12 1.58E+05 3.00E+01 3.00E+01 6.00E-03 (continued)

### Appendix 16B-1. (continued) Appendix 16B Regional Aquifer Data

Hydrogeologic Setting (GWClass) Hydraulic Conductivity (m/y) AquSatK Depth to Water (m) VadThick Saturated Thickness (m)

AquThick Hydraulic Gradient (m/m) AquGrad



### 16-44 12 -999 5.00E+01 1.00E+01 5.00E-03 12 1.58E+03 5.08E+01 1.44E+02 2.30E-02 12 -999 1.52E+01 9.14E+01 -999 12 -999 3.05E+00 -999 1.20E-02 12 1.58E+03 4.57E+01 -999 -999 12 1.26E+02 3.05E+00 1.52E+01 5.00E-05 12 3.15E+02 1.22E+01 6.10E+01 3.30E-02 12 -999 3.05E+01 -999 2.00E-02 12 -999 3.20E+02 -999 9.00E-03 12 -999 5.33E+00 1.52E+01 1.00E-03 12 1.58E+04 2.93E+01 1.95E+01 -999 12 -999 1.83E+01 -999 -999 12 2.21E+02 -999 3.96E+01 2.00E-03 12 3.15E+02 3.96E+00 3.05E+00 1.80E-02 12 2.49E+04 1.52E+00 -999 2.00E-03 12 1.23E+04 3.96E+00 1.83E+01 9.00E-03 12 -999 3.05E+00 3.05E+02 1.00E-03 12 9.46E+01 7.62E+00 1.98E+01 1.00E-02 12 1.26E+03 4.00E+02 1.80E+01 2.00E-06 12 2.18E+03 1.68E+00 7.32E+00 4.20E-04 12 6.31E+03 1.22E+00 3.05E+00 -999 12 -5.6496 3.47765 4.32063 -5.49537 mean 12 12.0503 1.43257 0.53279 0.79733 covariance matrix 12 1.43257 1.25667 0.99541 1.35511 12 0.53279 0.99541 1.2437 0.81321 12 0.79733 1.35511 0.81132 4.45451 12 9.46E+01 1.22E+00 3.05E+00 2.00E-06 minimum 12 1.58E+05 4.00E+02 3.05E+02 3.30E-02 maximum 13 1890 5.18 10.1 5.70E-03 13 -5.6496 3.47765 4.32063 -5.49537 mean 13 12.0503 1.43257 0.53279 0.79733 covariance matrix 13 1.43257 1.25667 0.99541 1.35511 13 0.53279 0.99541 1.2437 0.81321 13 0.79733 1.35511 0.81132 4.45451 13 3.15 0.305 0.305 4.00E-09 minimum 13 22100000 610 914 1 maximum