AIM Interim Report(2002-2003)

March, 2003
China Project Team of AIM/IMPACT ModelInstitute of Geographic Sciences and Natural
Resources Research, Chinese Academy of Sciences(CAS)

P.O.Box 9717, Beijing 100101,China
Telephone: 86-10-64858321 Telex: 86-1064889266,64850917
Interim Report for fiscal year 2003
By
IGSNRR Team (March 12th, 2003)

Work Done

1. Database establishing
1.1.1 Database regarding AIM/Water for some
hundred cities in china, at city level, from 1991-2000,
yearly1.1.2 Water regarding dataset at province level AND
RIVER BASIN LEVEL for year 2001
1.1.3 Environment regarding data at national,
provincial and major cities level for year 2000 and
2001, yearly

Work Done

11.4 Acid rain observation data of 87 stations(Annual average, Monthly average and Daily
average of observation value) for year 2000 and2001
1.1.5 Average temperature dataset at 1 square
kilometer level of China
1.1.6 Administrative district regarding dataset
1.1.7 Other Data Collection

Work Done

2. Research on 1 square kilometer level
Data developing
3. Other Research
Relationships of Energy Consumption
to Economy and Climate and Their
Changes in China

Work Plan
1. Work dedicated by AIM team
2. Research on spatialization
observed data and socio-economicof

3. 1 square kilometer level data
developing
4. Further work on other datasets

Work Done
1. Database establishing
1.1 Database regarding AIM/Water for some hundred
cities in china, from 1991-2000, yearly
To develop AIM/Water of city is one of the tasks of
AIM/IMPACT research. In requirement of NIES team,data regarding water supply system, water use,
Wastewater treatment system regarding data for some
hundred cities in China were collected and the database
was established. Each city was given a unique GBCODE(GBCODE 1999).

1.1.1 WATER SUPPLY AND WATER SAVING IN CITIES,(BA92.XLS)•Production Capacity of Tap Water•# Groundwater•Length of Water Supply Pipelines•Total Annual Volume of Water Supply•For Productive Use•For Residential Use•For House Use•Number of Residents with Access to Tap Water•Number of Nonagricultural Population with Access to
Tap Water•Volume of Top Water in Plan
•Actual Consumption of Top Water•Volume of Industrial Water Recycled•Volume of Water Saving

1.1.2 LEVEL OF FACILITIES FOR SUPPLY, UTILIZATION
AND DISCHARGE OF WATER IN CITIES, (BA93.XLS)•Per Capita Daily Consumption of Tap Water for Residential Use•Percentage of Urban Population with Access to Tap Water•Percentage of Nonagricultural Population with Access to Tap Water•Water Discharge Pipelines Density•Percentage of Sewage Treated•Length of Water Discharge Pipelines•Volume of Sewage Discharged•Number of Sewage Plants•Number of Biochemistry Plants•Volume of Sewage Treated by Plants•Volume of Sewage Treated by Biochemistry•Volume of Sewage Treated by Facilities•Total Annual Volume of Sewage Treated1.1.3 BASIC STATISTICS ON POPULATION AT
COUNTY LEVEL, (DB03.XLS and DB06.XLS)•Total Households•Total Population•Number of Nonagricultural Population

1.1.4 NUMBER OF EMPLOYED PERSONS BY SECTOR
IN CITIES, (DQ16.XLS)•Farming, Forestry, Animal Husbandry and Fishery in District•Mining and Quarrying in District•Manufacturing in District•Production and Supply of Electricity Gas and Water in District•Construction in District•Geological Prospecting and Water Conservancy in Downtown Area
•Transport, Storage, Post & Telecommunications in District•Wholesale and Retail Trade &Catering Services in District•Banking and Insurance in District•Real Estate Trade by Region•Real Estate Trade in Downtown Area
•Social Services in District•Health Care, Sport &Social Welfare in District•Education, Culture and Art, Radio, Film and Television in District•Scientific Research and Polytechnic Services in District•Government Agencies, Party Agencies and Social Organizations in District1.1.5 GENERAL ECONOMY STATISTICS IN CITIES,(DQ21.XLS)•Gross Domestic Product by District•Primary Industry•Secondary Industry•Tertiary Industry

1.1.6 GROSS INDUSTRY OUTPUT VALUE IN
CITIES, (DQ41.XLS)•Gross Industry Output Value of District•Gross Industrial Output Value At and Above Town inDistrict•Number of Industry At and Above Town in District1.1.7 NUMBER OF FULL-TIME TEACHERS AND
NUMBER OF STUDENT ENROLLMENT BY LEVELAND TYPE OF SCHOOL IN CITIES, (DQ81.XLS)•Number of Teachers in Institutions of Higher Education By
District•Number of Teachers in Secondary Schools By District•Number of Teachers in Primary Schools By District•Student Enrollment•Student Enrollment•Student Enrollment

1.1.8 NUMBER OF DOCTORS AND BEDS IN
HOSPITAL IN CITIES, (DQ87.XLS)•Number of Hospitals in District•Number of Hospital Beds
•Number of Doctors

1.2 Water regarding dataset at province levelfor year 2001
1.2.1
PRECIPITATION AND SURFACE WATER
BY PROVINCE, (BA01.XLS)•Annual Precipitation•Annual Precipitation•Compared with the Volume of Last Year
•Compared with the Average Volume in Many Years•Surface Water Resource•Surface Water Resource•Compared with the Volume of Last Year
•Compared with the Average Volume in Many Years1.2.2 GROUND WATER RESOURCE BY PROVINCE,(BA02.XLS)•Total Area
•Plain Area
•Ground Water Resource in Mountainous Provinces•Ground Water Total Supply in Plains•Ground Water Resource in Plains•Overlap Between Plains and Mountainous Provinces•Ground Water Resource by Province

1.2.3 TOTAL WATER RESOURCE BY PROVINCE,(BA03.XLS)•Surface Water Resource•Ground Water Resource•Overlap Between Surface and Ground Water•Total Water Resource Volume•Water yield modulus•Water yield modulus

1.2.4 CAPACITY OF LARGE AND MEDIUM-SIZEDRESERVOIRS BY PROVINCE, (BA04.XLS)•Number of Large Reservoirs•Capacity of Large Reservoirs in Last year-end•Capacity of Large Reservoirs in Current year-end•Annual Changeable Capacity of Large Reservoirs•Number of Medium-sized Reservoirs•Capacity of Medium-sized Reservoirs in Last year-end•Capacity of Medium-sized Reservoirs in Current year-end•Annual Changeable Capacity of Medium-sized Reservoirs

1.2.5 WATER SUPPLY BY PROVINCE, (BA07.XLS)•Drawing from Surface Water•Drawing from Other River Basins•Drawing from Ground Water•Drawing from Deep Ground Water•Others•Total Volume of Water Supply•Utilized Volume of Sea Water

1.2.6
WATER(BA08.XLS)UTILIZATIONBYPROVINCE,•For Irrigation•For Farming, Forestry, Animal Husbandry and Fishery Use•For Industrial Use•Consumption of Tap Water for Residential Use•Utilized Volume of Water for Residential Use in Rural Area
•Total Volume of Water Consumption

1.2.7 WATER CONSUMPTION BY PROVINCE, (BA09.XLS)•For Irrigation•For Farming, Forestry, Animal Husbandry and Fishery Use•For Industrial Use•Consumption of Tap Water for Residential Use•Consumption of Water for Residential Use in Rural Area
•Total Volume of Water Consumption•Rate of Water Consumption

1.2.8 WATER UTILIZATION INDEX BY PROVINCE,(BA10.XLS)•Per Capita GDP•Per Capita Water Consumption•Water Consumption for Producing 10000yuan GDP•Consumption of Water for Per Mu Irrigated Areas•Per Capita Consumption of Tap Water for Residential Use•Per Capita Consumption of Water for Residential Use in
Rural Area
•Water Consumption for Producing 10000yuan in Industry

1.2.9 WATER QUALITY CONDITIONS BY PROVINCE(ANNUAL AVERAGE), ( BA11.XLS)•Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length1.2.10 PRECIPITATION AND SURFACE WATER BY
RIVER BASIN, (BA14.XLS)•Annual Precipitation•Annual Precipitation•Compared with the Volume of Last Year
•Compared with the Average Volume in Many Years•Surface Water Resource•Surface Water Resource•Compared with the Volume of Last Year
•Compared with the Average Volume in Many Years•Water Resources Originating Outside the Country•Total Natural Outflow•Total Natural Outflow

1.2.11 CAPACITY OF LARGE AND MEDIUM-SIZEDRESERVOIRS BY RIVER BASIN, (BA15.XLS)•Total Area
•Plain Area
•Ground Water Resource in Mountainous Provinces•Ground Water Total Supply in Plains•Ground Water Resource in Plains•Overlap Between Plains and Mountainous Provinces•Ground Water Resource by Province

1.2.12 WATER SUPPLY BY RIVER BASIN, (BA16.XLS)•Surface Water Resource•Ground Water Resource•Overlap Between Surface and groundwater•Total Water Resource Volume•Water yield modulus•Water yield modulus

1.2.13 WATER(BA17.XLS)UTILIZATION

BY

RIVER

BASIN,•Number of Large Reservoirs•Capacity of Large Reservoirs in Last year-end•Capacity of Large Reservoirs in Current year-end•Annual Changeable Capacity of Large Reservoirs•Number of Medium-sized Reservoirs•Capacity of Medium-sized Reservoirs in Last year-end•Capacity of Medium-sized Reservoirs in Current year-end•Annual Changeable Capacity of Medium-sized Reservoirs

1.1.14 WATER CONSUMPTION BY RIVER BASIN,(BA18.XLS)•Drawing from Surface Water•From Other River Basins•Drawing from Ground Water•From Deep Ground Water•From Others•Total Volume of Water Supply•Utilized Volume of Sea Water

1.2.15 WATER UTILIZATION INDEX BY RIVER BASIN,(BA19.XLS)•For Irrigation•For Farming, Forestry, Animal Husbandry and Fishery Use•For Industrial Use•Consumption of Tap Water for Residential Use•Utilized Volume of Water for Residential Use in Rural Area
•Total Volume of Water Consumption

1.2.16 IVER CONDITIONS BY RIVER BASIN(ANNUAL
AVERAGE), (BA20.XLS)•For Irrigation•For Farming, Forestry, Animal Husbandry and Fishery Use•For Industrial Use•Consumption of Tap Water for Residential Use•Consumption of Water for Residential Use in Rural Area
•Total Volume of Water Consumption

1.2.17 WATER QUALITY CONDITION BY RIVER BASIN(ANNUAL AVERAGE), (BA21.XLS)•Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length•Percentage to Total Evaluation Length1.2.18 WATER UTILIZATION INDEX BY RIVER BASIN,(BA22.XLS)•Per Capita GDP•Per Capita Water Consumption•Water Consumption for Producing 10000yuan GDP
Consumption of Water for Per Mu Irrigated Areas•Per Capita Consumption of Tap Water for Residential
Use Per Capita Consumption of Water for Residential
Use in Rural Area
•Water Consumption for producing 10000yuan in Industry

1.3 Environment regarding data at national, provincial andmajor cities level for 2000 and 2001, yearly
1.3.1 Waste water discharge and treatment by province,(rl342000-2001.xls)•Number of Industrial Enterprises•Total Volume of Waster Water Discharged•Discharge to Sea Directly•Volume of Industrial Waster Water up to the DischargeStandards Discharged•Volume of Treated Industrial Waster Water up to theDischarge Standards Discharged•Volume of Hydrargyrum Discharged•Volume of Cadmium Discharged•Volume of Sexivalent Chrome Discharged•Volume of Lead Discharged•Volume of Arsenic Discharged•Volume of Phenol Discharged•Volume of Cyanide Discharged•Volume of COD Discharged•Volume of Earth Oil Discharged•Volume of Suspended Matter Discharged•Volume of Sulfide Discharged•Number of Facilities for Treatment of Waste Water•Number of Normal Running Facilities for Treatment ofWaste Water•The Prices of Facilities for Treatment of Waste Water•Current Year Operating Expense•Volume of Industrial Waster Water Treated•Volume of Industrial Waster Water Recovered
After Treatment•Volume of Hydrargyrum Removed•Volume of Cadmium Removed•Volume of Sexivalent Chrome Removed•Volume of Lead Removed•Volume of Arsenic Removed•Volume of Phenol Removed•Volume of Cyanide Removed•Volume of COD Removed•Volume of Earth Oil Removed•Volume of Suspended Matter Removed•Volume of Sulfide Removed1.3.2 Waste gases emissions and treatment by
province, (rl352000-2001.xls)•Total Volume of Waster Gas Emission•Volume of Waster Gas in the Process of Fuel Burning•Volume of Gas with Soot & Dust Removed•Volume of Waste Gas from the Process of Production•Volume of Gas Purified•Volume of Sulphur Dioxide Removed•Volume of Sulphur Dioxide Removed from the Burning
Process of Fuels•Volume of Sulphur Dioxide Removed from the Processof Production•Volume of Sulphur Dioxide Emission•Volume of Sulphur Dioxide Emission from the Burning
Process of Fuels

•Volume of Sulphur Dioxide Emission from the Processof Production•Volume of Industrial Soot Removed•Volume of Industrial Soot Emission•Volume of Industrial Dust Removed•Volume of Industrial Dust Emission•Number of Facilities for Treatment of Waste Gas•Work in normal•The Prices of Facilities for Treatment of Waste Water•Current Year Operating Expense•Bunker Coal Consumption•Coal Consumption•Fuel Oil Consumption

1.3.3 Industrial solid waste production, treatment and reuseby province, (rl362000-2001.xls)•Volume of Industrial Solid Wastes Produced•Dangerous Wastes•Making Throw Away Slag
•Fly Ash•Cinder•Duns•Tails•Radioactive Waste Materials•Other Wastes•Volume of Industrial Solid Wastes Utilized in aComprehensive Way•Dangerous Wastes•Making Throw Away Slag•Fly Ash
•Cinder•Duns•Tails•Other Wastes•Volume of Industrial Solid Wastes Accumulated•Volume of Dangerous Wastes Accumulated•Total Volume of Industrial Solid Wastes AccumulatedOver the Years•Areas Occupied by Industrial Solid Wastes•Volume of Industrial Solid Wastes Treated•Dangerous Wastes•Volume of Industrial Solid Wastes Discharged•Dangerous Wastes

1.3.4 Industrial enterprises by province, (rl392000-2001.xls)•Gross Industrial Output Value (calculated at current
prices)•Gross Industrial Output Value (calculated in accordancewith 1990)•Total Number of Staff & Workers•Number of Full Time Environmental Persons•Output Value of Products Made from Waste Gas, Waste
Water and Solid Wastes•Profits Obtained from Use of Waste Gas, Waste Waterand Solid Wastes•Number of Industrial Boilers•Volume of Industrial Boiler•Number of Industrial Boilers Treated Waste Gas up to
Discharge Standards•Volume of Treated Waste Gas up to DischargeStandards•Number of Industrial Kilns•Number of Industrial Kilns Treated Waste Gas up to
Discharge Standards•Volume of Industrial Water•Volume of Fresh Water•Volume of Industrial Water Recovered after Treatment

1.3.5 Regulating efficiency of "three" wastes from key
industrial enterprises by province, (rl302000-2001.xls)•Percentage of Industrial Waste Water up to theDischarge Standards•Percentage of Industrial Waste Water Treated•Percentage of Industrial Waste Water Treated up to
the Discharge Standards•Percentage of Waste Gas with Soot &Dust Removed•Percentage of Waste Gas Purified•Percentage of Industrial Solid Wastes Utilized•Percentage of Industrial Solid Wastes Accumulated•Percentage of Industrial Solid Wastes Treated1.3.6 Environment pollution and damage incidents byprovince, (rl402000-2001.xls)•Number of Pollution Accidents•Losses of Converted into Cash
•Number of Extraordinarily Serious Pollution Accidents•Losses of Extraordinarily Serious Pollution Accidents Converted into
Cash
•Number of Serious Pollution Accidents•Losses of Serious Pollution Accidents Converted into Cash
•Number of Biggish Pollution Accidents•Losses of Biggish Pollution Accidents Converted into Cash
•Number of Ordinary Pollution Accidents•Losses of Ordinary Pollution Accidents Converted into Cash
•Number of Water Pollution Accidents•Losses of Water Pollution Accidents Converted into Cash•Number of Air Pollution Accidents•Losses of Air Pollution Accidents Converted into Cash
•Number of Solid Wastes Pollution Accidents•Losses of Solid Wastes Pollution Accidents Converted into Cash
•Number of Noise and Vibration Pollution Accidents•Losses of Noise Vibration Pollution Accidents Converted into Cash
•Number of Others•Losses of Other Pollution Accidents Converted into Cash
•Number of Injuries & Deaths•Number of Deaths•Area of Crop Polluted•Area of Fish Polluted•Area of Nature Reserves Polluted•Amount of Fines•Amount of Reparations

1.3.7 Industrial wastewater discharge and treatment at national
level, (rl612000-2001.xls)•Number of Industrial Enterprises•Total Volume of Industrial Waste Water Discharged•Volume of Industrial Waste Water Discharged to Sea Directly•Volume of Industrial Waster Water up to the DischargeStandards Discharged•Volume of Treated Industrial Waster Water up to theDischarge Standards Discharged•Volume of Hydrargyrum Discharged•Volume of Cadmium Discharged•Volume of Sexivalent Chrome Discharged•Volume of Lead Discharged•Volume of Arsenic Discharged•Volume of Phenol Discharged•Volume of Cyanide Discharged•Volume of COD Discharged•Volume of Earth Oil Discharged•Volume of Suspended Matter Discharged•Volume of Sulfide Discharged•Number of Facilities for Treatment of Waste Water•Number of Normal Running Facilities for Treatment ofWaste Water•The Prices of Facilities for Treatment of Waste Water•Current Year Operating Expense•Volume of Industrial Waster Water Treated•Volume of Industrial Waster Water Recovered After
Treatment•Volume of Hydrargyrum Removed•Volume of Cadmium Removed•Volume of Sexivalent Chrome Removed•Volume of Lead Removed•Volume of Arsenic Removed•Volume of Phenol Removed•Volume of Cyanide Removed•Volume of COD Removed•Volume of Earth Oil Removed•Volume of Suspended Matter Removed•Volume of Sulfide Removed1.3.8 Industrial waste gases emissions and treatment at
national level, (rl622000-2001.xls)•Total Volume of Waster Gas Emission•Volume of Waster Gas Emission•Volume of Gas with Soot & Dust Removed•Volume of Waste Gas from the Process of Production•Volume of Gas Purified•Volume of Sulphur Dioxide Removed•Volume of Sulphur Dioxide Removed from the Burning
Processof Fuels•Volume of Sulphur Dioxide Removed from the Process of
Production•Volume of Sulphur Dioxide Emission

•Volume of Sulphur Dioxide Emission from the Burning
Process of Fuels•Volume of Sulphur Dioxide Emission from the Process of
Production•Volume of Industrial Soot Removed•Volume of Industrial Soot Emission•Volume of Industrial Dust Removed•Volume of Industrial Dust Emission•Number of Facilities for Treatment of Waste Gas•Work in normal•The Prices of Facilities for Treatment of Waste Water•Current Year Operating Expense•Bunker Coal Consumption•Coal Consumption•Fuel Oil Consumption

1.3.9 Industrial solid waste production and treatment at
national level, (rl632000-2001.xls)•Volume of Industrial Solid Wastes Produced•Dangerous Wastes•Making Throw Away Slag
•Fly Ash•Cinder•Duns•Tails•Radioactive Waste Materials•Other Wastes•Volume of Industrial Solid Wastes Utilized in aComprehensive Way•Dangerous Wastes•Making Throw Away Slag•Fly Ash
•Cinder•Duns•Tails•Other Wastes•Volume of Industrial Solid Wastes Accumulated•Volume of Dangerous Wastes Accumulated•Total Volume of Industrial Solid Wastes AccumulatedOver the Years•Areas Occupied by Industrial Solid Wastes•Volume of Industrial Solid Wastes Treated•Dangerous Wastes•Volume of Industrial Solid Wastes Discharged•Dangerous Wastes

1.3.10 Basic condition by industry branch of industrial
enterprises at national level, (rl692000-2001.xls)•Gross Industrial Output Value (calculated at current
prices)•Gross Industrial Output Value (calculated in accordancewith 1990)•Total Number of Staff & Workers•The Number of Full Time Environmental Persons•Output Value of Products Made from Waste Gas, Waste
Water and Solid Wastes•Profits Obtained from Use of Waste Gas, Waste Waterand Solid Wastes•Number of Industrial Boilers

•Volume of Industrial Boiler•Number of Industrial Boilers Treated Waste Gas up to
Discharge Standards•Volume of Treated Waste Gas up to DischargeStandards•Number of Industrial Kilns•Number of Industrial Kilns Treated Waste Gas up to
Discharge Standards•Volume of Industrial Water•Volume of Fresh Water•Volume of Industrial Water Recovered after Treatment

1.3.11 Industrial waste water discharge and treatment in major
cities, (rl512000-2001.xls)•Number of Industrial Enterprises•Total Volume of Industrial Waste Water Discharged•Volume of Industrial Waste Water Discharged to Sea Directly•Volume of Industrial Waster Water up to the DischargeStandards for Discharged•Volume of Treated Industrial Waster Water up to the DischargeStandards•Volume of Industrial Waster Water Treated•Volume of Industrial Waster Water Recovered after Treatment•Number of Facilities for Treatment of Waste Water•Work in Normal•The Prices of Facilities for Treatment of Waste Water•Current Year Operating Expense•Volume of Hydrargyrum Discharged•Volume of Cadmium Discharged•Volume of Sexivalent Chrome Discharged•Volume of Lead Discharged•Volume of Arsenic Discharged•Volume of Phenol Discharged•Volume of Cyanide Discharged•Volume of COD Discharged•Volume of Earth Oil Discharged•Volume of Suspended Matter Discharged•Volume of Sulfide Discharged•Volume of Hydrargyrum Removed•Volume of Cadmium Removed•Volume of Sexivalent Chrome Removed•Volume of Lead Removed•Volume of Arsenic Removed•Volume of Phenol Removed•Volume of Cyanide Removed•Volume of COD Removed•Volume of Earth Oil Removed•Volume of Suspended Matter Removed•Volume of Sulfide Removed1.3.12 Industrial waste gases emissions and treatment in major
cities, (rl522000-2001.xls)•Total Volume of Waster Gas Emission•Volume of Waster Gas Emission•Volume of Gas with Soot & Dust Removed•Volume of Waste Gas from the Process of Production•Volume of Gas Purified•Volume of Sulphur Dioxide Removed•Volume of Sulphur Dioxide Removed from the Burning
Process of Fuels•Volume of Sulphur Dioxide Removed from the Process of
Production•Volume of Sulphur Dioxide Emission

•Volume of Sulphur Dioxide Emission from the Burning
Process of Fuels•Volume of Sulphur Dioxide Emission from the Process of
Production•Volume of Industrial Soot Removed•Volume of Industrial Soot Emission•Volume of Industrial Dust Removed•Volume of Industrial Dust Emission•Number of Facilities for Treatment of Waste Gas•Work in normal•The Prices of Facilities for Treatment of Waste Water•Current Year Operating Expense•Bunker Coal Consumption•Coal Consumption•Fuel Oil Consumption

1.3.13 Industrial solid waste production and treatment inmajor cities, (rl532000-2001.xls)•Volume of Industrial Solid Wastes Produced•Dangerous Wastes•Making Throw Away Slag
•Fly Ash•Cinder•Duns•Tails•Radioactive Waste Materials•Other Wastes•Volume of Industrial Solid Wastes Utilized in aComprehensive Way•Dangerous Wastes

•Cinder•Duns•Tails•Other Wastes•Volume of Industrial Solid Wastes Accumulated•Volume of Dangerous Wastes Accumulated•Total Volume of Industrial Solid Wastes AccumulatedOver the Years•Areas Occupied by Industrial Solid Wastes•Volume of Industrial Solid Wastes Treated•Dangerous Wastes•Volume of Industrial Solid Wastes Discharged•Dangerous Wastes•Fly Ash•Making Throw Away Slag

1.3.14 Industrial enterprises in major cities, (rl572000-2001.xls)•Gross Industrial Output Value (calculated at current prices)•Gross Industrial Output Value (calculated in accordancewith 1990)•Total Number of Staff & Workers•The Number of Full Time Environmental Persons•Output Value of Products Made from Waste Gas, Waste
Water and Solid Wastes•Profits Obtained from Use of Waste Gas, Waste Waterand Solid Wastes•Number of Industrial Boilers•Volume of Industrial Boiler•Number of Industrial Boilers Treated Waste Gas up to
Discharge Standards•Volume of Treated Waste Gas up to DischargeStandards•Number of Industrial Kilns•Number of Industrial Kilns Treated Waste Gas up to
Discharge Standards•Volume of Industrial Water•Volume of Fresh Water•Volume of Industrial Water Recovered after Treatment

1.4 Acid rain observation data of 87 stations for year
2000 and 2001
1.4.1 Annual average of observation value in 87 acid rain stationsin China(2000-2001), (Annual-acid rain2000-2001.xls)•Year•Month•Annual total precipitation•Times for precipitation•Annual average precipitation•Annual maximum pH•Annual maximum pH•Percentage for pH<4.5•Percentage for pH<5.6•Annual average conductance•Annual maximum conductance•Annual minimum conductance1.4.2 Monthly average of observation value in 87 acid rainstations in China(2000-2001), (Monthly-acid rain2000-200.xls)•Year•Month•Monthly total Precipitation•Times for Precipitation•Monthly average Precipitation•Monthly maximum pH•Monthly minimum pH•Frequence of pH<4.5•Percentage for pH<4.5

•Frequence of pH<5.6•Percentage for pH<5.6•Frequence of pH<6.9•Percentage for pH<6.9•Frequence of pH<7.0•Percentage for pH<7.0•Monthly average conductance•Monthly maximum conductance•Monthly minimum conductance1.4.3 Daily average of observation value in 87 acid rainstations in China(2000-2001), (Daily-acidrain2000-2001.xls)•Year•Month•Start-date•End-date•Start-time•End-time•pH•Conductance•Temperature•Precipitation•Phenomena of Weather

1.5 Mean temperature dataset at 1 square kilometer level ofChina (Based on the data from more than 600 stations over
China)
1.5.1 Annual mean temperature from 1961-1998, year byyear
1.5.2 Annual mean temperature (Classified by 2℃) from1961-1998, year by year
1.5.3 Monthly mean temperature from 1961-1998,year byyear
1.5.4 Monthly mean temperature (Classified by 2℃) from1961-1995, year by year
1.5.5 Ten days mean temperature from 1961-1998, year byyear
1.5.6 Ten days mean temperature (Classified by 2℃) from1961-1998, year by year

1.6 Administrative district regarding dataset
1.6.1 County boundary map(2002 edition) (ch02g.e00,
ch02gdesc.doc)
1999 edition was updated to reflect the changes in county
boundaries as for 2002.
1.6.2 Changes of administrative units between 2000-2001,(boundchange.doc)
Changes of administrative units in each province wererecordedannually from 2000 to 2001.
1.6.3 Database of GB/T 2260-2002 was set up (gbcode-2002.xls)•Administrative district name in GB/T 2260-2002 (in Chinese)•Administrative district name in GB/T 2260-2002 (in Chinese
Pinyin)•Administrative district Changes between 1999 and 2002
•Administrative district name in GB/T 2260-1999 (in Chinese)

1.7 Other Data Collection
1.7.1 Codes for the administrative divisions of thePeople’s Republic of China, GB/T 2260-2002
1.7.2 2001 Report on the State of the Environment in
China
1.7.3 China Environment Statistic Annual Report 2001
1.7.4 China Water Resources Status Report 2001

2. Research on 1 square kilometer level
Data developing
1 sq.km. is a essential data scale in the
filed of global change research while mostattribute data is at station, county, region etc.
level. Therefore, spatialization of attributedata is one of forward issues in the field of
GIS . In order to meet the needs of globalchange research, some research was done
during the year.

2.1 Spatialization of Observed data(temperature from 624
meteorological stations over China)
During the research,30-year mean temperature data from 624
meteorological stations over China was used. The temperature wasdivided into regular component and irregular component. The regularcomponent is affected by longitude, latitude and altitude while irregularcomponent affected by other local factors. They were specialized withmultiple variable regression and inverse distance weighted interpolation
respectively. There was correlation ratio of R=0.98 between temperatureand geographical factors including longitude, latitude and altitude.
Summing the two specialized components generated grid-based
temperature data. It can reflect temperature change both at large scale
and at small scale.
This method was used to spatialize monthly and ten day mean
temperature for 35 years(1961-1995) later. The results are fine. The
correlation ratio of R>0.92 between temperature and geographical factors
including longitude, latitude and altitude. The lowest R is 0.92, the high R
is 0.99 and the mean R is 0.97.

Distribution figure of China’s mean
temperature(Classified by 2℃ )

2.2 GIS Based Spatialization of Population Census Data in Qinghai-Tibet
PlateauIn the Qinghai-Tibet Plateau, correlation ratios between population
density and percentages of arable land and city and town used land atcounty level reach 0.90 and 0.85 respectively. In Qinghai province, there
exists a logarithmic correlation of ratio =-0.86 between population density
and average territorial elevation at county level. There is a correlation ofratio =0.82 between population density and main highway density atcounty level. Correlation ratios between population density and densities
of city and town residential areas, township residential areas and village
residential areas reach 0.82, 0.87 and 0.92 respectively. Density ofresidential areas drops along with increasing of distance to rivers.
Therefore, territorial elevation, land use, road and river system are themain factors affecting distribution of population in the Qinghai-Tibet
Plateau. Residential areas are an important indicator to distribution of
population. Weight values of affecting factors are assigned objectively
and multiple sources data fusion technology is applied to specialize
population census data. There is a correlation of ratio >0.80 between the
population density generated by data fusion and actual population atcounty level, and ratio >0.75 at township level. The finally generated grid
population density not only deeps consistence with statistical population
data at county level but also reflects changes of population distribution
inside each county.

3. Other related research
Relationships of Energy Consumption
to Economy and Climate and Their
Changes in China

Data（1） Data of energy
Consumption and economy
 Annual

total energy consumption and its
composition in 1953-1999 in the whole country
 Annual coal and electricity consumption inresidential energy consumption in 1980~1999 in thewhole country National coal, oil and hydroelectricity consumption
in 1953—1999
 Gross domestic product (GDP) in 1953-1999 in thewhole country
source: China energy statistical yearbook andChina statistical yearbook

Data（2） Data of meteorological disaster

annual areas of crops covered by drought and floodin 1953-1999 in the whole country
Source: China’s statistical yearbooks and China's
disaster reports
 Climatic datamean daily temperature data of 29 provincial
meteorological stations in the whole country from1970 to 1999
Source: China Meteorological Administration

Method（1） Methed

dividing
consumptionenergyy = yt + yw + yeAmong them: y—real consumption of energy
yt—— trend quantity of the energy
consumption （ namely socioeconomic energy
consumption ），by polynomial methodyw—fluctuate quantity( namely climate
energy consumption
ye—random quantity , ignored

Method（2）Method Calculating Climatic Index
 Calculating heating degree-day(Dh)Thi=Tb-Ti Dh=∑Thi
Tb =5℃ Calculating cooling degree-day(Dc)
Tci=Ti-Tb
Dc=∑Tci
Tb =22℃

Result1: Results dividing
energy consumption(1) Results dividing energy

consumption

Result1： Results dividing
energyconsumption(2) Coal consumption ：yt = -0.1543x4 +14.196

x3–375.47x2+4342.6x – 856.75
 Oil consumption ：yt = 0.0789x3 +4.8201x2+221.72x – 917.54
 Natural gas consumption ： yt = -0.0647x3+4.9796x2 – 38.163x +41.832
 Hydroelectricity
consumption：
yt=5.1733x2–67.144x +479.8

Result2:Energy consumption andeconomy(1) transiting from the resource-dense industry withhigh energy consumption to the technology-dense
industry with low energy consumption
160000y = 29807Ln(x) - 195192
R 2 = 0.9886

1400001200004

yt/10 t标准煤100000

80000

60000

40000

20000

0
0

10000

20000

30000

40000

50000

GDP/10 8 yuan

60000

70000

80000

90000

Result2:Energy consumption andeconomy(2)in 1953-1982
80000

70000
y = 13.693x - 884.58
R 2 = 0.9745

yt（万吨标准煤）

60000

50000

40000

30000

20000

10000

0
0

1000

2000

3000
GDP(亿元)

4000

5000

6000

Result2:Energy consumption andeconomy(3)in 1983-1991
120000y = 2.3657x + 59542
R 2 = 0.988

100000yt（万吨标准煤）

80000

60000

40000

20000

0
0

5000

10000

15000
GDP（亿元）

20000

25000

Result2:Energy consumption andeconomy(4)Driving factors of energy
consumption from society andeconomy technological progress energy substitution
 industrial structure adjustment
 foreign trade changes of residential energy consumption

Result3：energy consumption and area
covered by drought and flood (1)Relationship of energy consumption to area covered bydrought and flood is obvious, but changes no obvious after
early 1980s.

Result3：energy consumption and area
covered by drought and flood in 19531980(2)Result3：energy consumption and area
covered by drought and flood: changes ofcorrelation coefficient in1953-1999(3)Result4: energy consumption andtemperature Relationship of energy consumption totemperature is not obvious, but increasing

Conclusions
 Tranforming from the resource-dense

industry with high energy consumption to
the technology-dense industry with low
energy consumption
 Tranforming from drived by the disaster ofdroughts and flood to drived by thetemperature Tranform is a quite long course, sometimes
even several subordinate stages.

Work Plan
1. Work dedicated by AIM team;
2. Research on spatialization of observed data and socioeconomic
3. 1 square kilometer level data developing•Mean temperature•Mean high temperature•Mean low temperature•Mean precipitation•Population•GDP per unit area

4. Further work on other databasets•Natural resources•Population• socio-economic indicators