bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Kepuasan Kerja terhadap Organizational Citizenship Behaviour (OCB) dengan Mediasi Komitmen Organisasional
Authors: PRADHIPTYA ANJA RAKSA
Published: September 2018

In this era of globalization, competition is so high. An organization will be able to survive, compete and even thrive if an organization's performance continues to operate effectively and efficiently. This study aims to examine and analyze whether job satisfaction to OCB with mediation effect on organizational commitment in PT. Pilih Utama. The population of this research were 52 PT. Pilih Utama employees and use all of the population for sampled. Methods of statistical analysis was used “Partial Least Square” (PLS) with the help of SMART PLS software and “Statistical Product and Service Solutions” (SPSS) 17.0. This study was found a significant positive effect on job satisfaction to OCB, a significant positive effect on job satisfaction to organizational commitment, a significant positive effect on commitment organizational to OCB, and proves that organizational commitment mediates the effect of job satisfaction to OCB
Pengaruh Perceived Quality Dan Country Of Origin Effect Terhadap Niat Beli Xiaomi Smartphone
Authors: Sari Yuni Puspita
Published: September 2018

Xiaomi smartphone is a smartphone vendors from China newly entered the smartphone market in Indonesia, in contrast to the smartphone with low price and low quality. Xiaomi markets its products with a premium price and high quality products, positioning as a brand management newcomer. This study aims to analyze and discuss the influence of perceived quality and country of origin effect of the Xiaomi smartphone purchase intention (studies in the visitors of Plaza Marina Surabaya). The population in this study is a person aged 19-50 years old who is visiting Plaza Marina Surabaya. In this study, researcher used 220 samples. Sampling method is a non-probability sampling. Data were analyzed using multiple linear regression. In multiple linear regression analysis results show the influence of variables perceived quality and country of origin effect for the purchase intention in the show of the value of Adjusted R Square of 0.407. From the results of the t test that has been done can be seen that the variable perceived quality and country of origin effect has a significant influence partially on the purchase intention.
Multiple Solutions for the Riemann Problem in the Porous Shallow Water Equations
Authors: Cozzolino Luca , Castaldo Raffaele , Cimorelli Luigi , Della Morte Renata , Pepe Veronica , Varra Giada , Covelli Carmine , Pianese Domenico
Published: September 2018

The Porous Shallow water Equations are widely used in the context of urban flooding simulation. In these equations, the solid obstacles are implicitly taken into account by averaging the classic Shallow water Equations on a control volume containing the fluid phase and the obstacles. Numerical models for the approximate solution of these equations are usually based on the approximate calculation of the Riemann fluxes at the interface between cells. In the present paper, it is presented the exact solution of the one-dimensional Riemann problem over the dry bed, and it is shown that the solution always exists, but there are initial conditions for which it is not unique. The non-uniqueness of the Riemann problem solution opens interesting questions about which is the physically congruent wave configuration in the case of solution multiplicity.
Mixed Variational-Monte Carlo Assimilation of Streamflow Data in Flood Forecasting: the Impact of Observations Spatial Distribution
Authors: Ercolani Giulia , Castelli Fabio
Published: September 2018

A mixed variational-Monte Carlo scheme is employed to assimilate streamflow data at multiple locations in a distributed hydrologic model for flood forecasting purposes. The goal of this work is to assess the role of the spatial distribution of the assimilation points in terms of forecasts accuracy. The area of study is Arno river basin, and the strategy of investigation is to focus on one single nearly-flood event, performing various assimilation experiments that differ only in number and location of the assimilation sites.
Pressure Sensors Positioning for Leakages Detection under Uncertain Demands
Authors: Puleo Valeria , Freni Gabriele , La Loggia Goffredo
Published: September 2018

The pressure sensors positioning is a crucial step for leakages detection. The optimal positioning of monitoring sensors, or simply sampling design, has been previously addressed with respect to several purposes. The proposed methodology aims to select the pressure monitoring nodes for leakages detection by coupling the water distribution network hydraulic simulation model with the identifiability analysis. The nodes selection is done among those which are more sensitive with respect to different leakages positions and uncorrelated from each other to avoid redundant information. The parameter uncertainty effect on the results is also investigated. The method is applied to the benchmark network Apulian.
Graph Theory Algorithms for Real Time Control of a Sewer Network
Authors: van Nooijen Ronald R. P. , Kolechkina Alla
Published: September 2018

Many Dutch sewer networks are combined sewer systems, they carry both storm water and foul water. They consist of multiple sub-networks, linked by pumps into a tree structure with the Waste Water Treatment Plant as its root. Within sub-networks sewage transport is by gravity driven flow. Usually the original design assumed local control. Later changes, additions and extensions sometimes reduced the effectiveness of the original design. In these cases central control can improve the performance of the system without costly new construction. We apply two algorithms from graph theory, one is based on stable flows in time, the other on quickest evacuation flows. Results on local control are included to provide a lower bound on performance. A linear programming problem based of a perfect forecast of the whole event provides an upper bound on performance.
Z-R Law for Quantitative Rainfall Estimation Using a C-band Radar and a Network of Ground-Based Disdrometers
Authors: Mocva-Kurek Roberta Karinne , Pedrozo-Acuña Adrián
Published: September 2018

It is acknowledged that spatial variations in the DSD and type of rainfall are important for an adequate rainfall estimation using operational weather radars. However, due to a lack of instrumentation, the Z-R relationship is rarely considered spatially variable. This relationship is usually applied unawarely of the scale, which is questionable since the nonlinearity of this relation could lead to undesirable discrepancies when combined with scale aggregation. This paper investigates different methods to define an adequate Z–R law relation for a study region, where a spatial variation of coefficients and rain type may be considered. For this, we utilize data from a disdrometers network and a C-band radar located in Mexico City. Coefficients of the Z-R law are obtained through: the definition of the Z-R relationship at each disdrometer and the use of three methods (dBZ, R and Do/R) for the data classification by rain type (ST, T, C). Results show that the coefficients for the Z-R law are very diverse and strongly dependent on the rain type. Regarding radar data, the evaluation indicates that the values do not correspond quantitatively to those recorded on the earth’s surface, but it can represent the variances in most of the period.
Global Sensitivity Analysis for the Gironde Estuary Hydrodynamics with TELEMAC2D
Authors: Laborie Vanessya , Goutal Nicole , Ricci Sophie , De Lozzo Matthias , Audouin Yoann , Sergent Philippe
Published: September 2018

This paper presents a global sensitivity analysis study applied to a TELEMAC2D nu- merical flood forecast model of Gironde estuary which aims at identifying which input variables should be better described for water levels to be better simulated and forecasted. A variance sensitivity study (ANOVA) was carried out, by calculating Sobol’ indices for all numerical parameters (wind influence coefficient, Strickler friction coefficients for 4 zones) and time-dependent forcings of the model (rivers discharges and maritime boundary con- ditions). It led to the identification of parameters and forcings to which the model is most sensitive for each area of the estuary. Sobol’ indices for 2003 event show a predominance of the influence of the maritime boundary conditions and of Strickler coefficients all along the estuary. A mesh convergence study shows that the results don’t depend on the mesh. Moreover, a special focus on the eigenvalues of the tide signal correlation error function shows no predominance of one mode on the other. These first results are currently used to implement a sequential ensemble Kalman filter improving both the state of the system and the maritime boundary condition and optimizing the friction coefficients over the Gironde estuary.
Computation of Hydraulic Characteristics of Flood Flow Downstream from the Reservoir with Dam Safety Scenarios in North Vietnam
Authors: Le Thu Hien Thi , Ho Viet Hung
Published: September 2018

Using a reservoir is an effective solution to prevent lowland flooding and mitigate socio-economic damages. However, due to the high density of river network and the presence of reservoirs, dam safety assurance is becoming one of the most important mission in water resource management in Vietnam. Hydraulic characteristics of dam-break wave are necessary information to generate early warning plans for downstream area of reservoir. To aim this purpose, the Finite Volume Method with Godunov-type is considered to solve two-dimensional shallow water equations and develop a numerical model. In this study, the numerical model for dam-break simulation is suggested and verified through a comparison between calculated results and observed data of two reference tests. Very good agreement shows the effectiveness and accuracy of the proposed model. The Nam Chien reservoir in Vietnam has been chosen and the numerical model is applied to simulate flooding wave for the scenario of arch dam collapse. Alternative solutions are produced, such as: water depth, discharge hydrographs, arrival time, time to reach maximum water level; flooding map. The simulated result implies that this model is an indispensable tool for simulating dam-break scenarios.
Dynamic Flood Inundation Forecast for the City of Kulmbach Using Offline Two-Dimensional Hydrodynamic Models
Authors: Bhola Punit , Leandro Jorge , Konnerth Iris , Amin Kanwal , Disse Markus
Published: September 2018

The paper presents a new methodology for hydrodynamic-based flood forecast focusing on sce- nario generation and database queries to select the appropriate flood inundation map in real-time. In operational flood forecasting, discharges are forecast at specific gauges using hydrological models. The water levels are obtained from a rating curve designed for each respective gauge. Particularly for higher discharges when the flow over-spills the side banks, these curves are highly uncertain. Hy- drodynamic models are then required to produce realistic inundation maps and water levels. Hydro- dynamic models are computationally expensive and therefore not feasible for real-time forecasting. Alternatively, pre-calculated inundation maps can be stored in a database which contains a substantial number of scenarios, and used for extracting the most likely map in real-time. This study investigates the application of offline inundation forecast in the city Kulmbach in Germany.
Seasonal and Spatial Variation of Seismic Activity due to Groundwater Fluctuation in South Korea
Authors: Jang Suk Hwan , Lee Jae-Kyoung , Oh Kyoung Doo , Jo Jun Won
Published: September 2018

We hypothesized that groundwater flow could trigger earthquakes both in the land and in the sea due to its seasonal fluctuation following the wet season. Using 1,157 earthquake data recorded starting from 1978 to 2017 by Korea Meteorological Agency monthly earthquake energy and count of occurrence were analyzed to test the hypothesis. For the earthquakes occurred in the land a six-month earthquake active period from August to January was identified, which starts two months later from the beginning of the monsoon season (June-September). Meanwhile, for the earthquakes occurred in the sea another six-month earthquake active period from February to July, delayed by six months from that of the land, was also identified. These two-month and 8-month time lags between the active periods and the monsoon season seem to be attributable to the time required for groundwater to recharge aquifer, to propagate increased hydraulic pressure through fractures and to travel from the land to the sea. Monthly earthquake count and energy series seem to support the main shock- aftershock relation proposed by the hydroseismicity model but with longer and more variable time lags (i.e. one month for the sea and three to five months for the land) than those suggested by the hydroseismicity model. An excellent correlation of earthquake energy series which means almost perfectly synchronized activation of earthquakes between the land and the South Sea having the shortest travel path with steep slope among three seas seems to be the strong evidence supporting the hydroseismicity of earthquakes occurring in South Korea. Considering constant movement of tectonic plates which builds up intraplate stress relentlessly the cyclic burst of earthquake energy release supposed to be triggered by groundwater fluctuation seems to be playing the role of invisible hands which prevent excessive accumulation of geotectonic energy in the curst. From this point of view on- going climatic change that might bring about abnormal behavior of groundwater flow may change not only the pattern but also the magnitude of earthquakes occurring in South Korea in the future.
Modeling of Urban Flood in Xiamen Island, China
Authors: Liu Jiahong , Shao Weiwei , Xiang Chenyao , Mei Chao , Li Zejin
Published: September 2018

Rapid urbanization has greatly increased the impermeable surface in urban area, which led to serious urban flooding and waterlogging in China. There are more than 100 cities that suffered from urban flood every year since 2006, and more than 100 million citizens are involved in China. Urban flood mitigation is one of the most important issues for both water administration and city management agency. This paper simulated the urban flooding in Xiamen Island based on a hydrodynamic model coupled with hydrological model. The datasets of underlying surfaces were input to the model, including the terrain data, building plan, land use, etc. A typical rain pattern of 50 years return event were used for flood simulation. The results show that the main inundated areas (flooded depth more than 40cm) are located in three groups: south east to the Yundang Lake, around the Hubian Reservoir, along the Exhibition Road. The other inundated areas that less than 40 cm deep are scattered in the flat regions of Xiamen Island. The main inundated areas simulated are consistent with the point survey of urban flooding, which verifies that the suggest model is reasonable and useful for urban flood prediction.
Modelling Spatial-Temporal Dynamics of Cyanobacteria Abundance in Lakes by Integrating Cellular Automata and Genetic Programming
Authors: Ling Yuqing , Wang Min , Chen Qiuwen , Mynett Arthur
Published: September 2018

Cyanobacteria blooms are a serious problem around the world and have caused severe ecological and social-economic damage. Data-mining models have proven effective at predicting such blooms; however, few of them can provide the spatial dynamics. Although process-based numerical models do provide a way to model, such approach often involves too many parameters to be calibrated. This study took the case of Taihu Lake and developed a model that embedded a data-mining technique into a cellular automata configuration, so as to obtain the spatial-temporal dynamics of cyanobacteria blooms. The lake was divided into polygons in accordance with the monitoring stations by using the Voronoi method. Data on flows, water quality and phytoplankton were collected from monitoring stations inside Taihu Lake. Genetic programming was applied to establish predictive formulations for the cyanobacteria population dynamics in relation to flow and water quality variables by using the collected data. The formulations accounted for local interactions between polygons as the evolution rules for the cellular automata. The results show that in this way CA models are able to predict both approximate magnitudes as well as accurate timing of cyanobacteria blooms quite well for all areas except for regions with lower cyanobacteria population. Overall the CA model shows very promising performance in capturing the spatial-temporal dynamics of algal abundance in lakes.
DeepHistone: a deep learning approach to predicting histone modifications
Authors: Yin Qijin , Wu Mengmeng , Lv Hairong , Jiang Rui
Published: September 2018

Motivation: Quantitative detection of histone modifications has emerged in the recent years in a major means for understanding such biological processes as chromosome packaging, transcriptional activation, and DNA damage. However, high-throughput experimental techniques such as ChIP-seq are usually expensive and time-consuming, prohibiting the establishment of a histone modification landscape for hundreds of cell types across dozens of histone markers. These disadvantages have been appealing for computational methods to complement experimental approaches towards large-scale analysis of histone modifications. Results: We proposed a deep learning framework to integrate sequence information and chromatin accessibility data for the accurate prediction of modification sites specific to different histone markers. Our method, named DeepHistone, outperformed several baseline methods in a series of comprehensive validation experiments, not only within an epigenome but also across epigenomes. Besides, sequence signatures automatically extracted by our method was consistent with known transcription factor binding sites, thereby giving insights into regulatory signatures of histone modifications. As an application, our method was shown to be able to distinguish functional single nucleotide polymorphisms from their nearby genetic variants, thereby having the potential to be used for exploring functional implications of putative disease-associated genetic variants. Conclusions: DeepHistone demonstrated the possibility of using a deep learning framework to integrate DNA sequence and experimental data for predicting epigenomic signals. With the state-of-the-art performance, DeepHistone was expected to shed light on a variety of epigenomic studies.
A Semi-Lagrangian Scheme for Advection-Diffusion Equation
Authors: Bahar Ersin , Gurarslan Gurhan
Published: September 2018

This study proposes a semi-Lagrangian scheme for numerical simulation of advection-diffusion equation. The proposed method provides unconditional stability and highly accurate solutions even at large time steps. Another advantage of this method is that it requires a low computational time. Accuracy of the method is tested by a numerical application.
Simulation Architecture Based on Distributive MDP for Inland Waterway Management
Authors: Desquesnes Guilaume , Alves Debora , Duviella Eric , Lozenguez Guillaume , Doniec Arnaud
Published: September 2018

Climate change should affect inland waterways in a close future. The study of their resilience against climate change requires an optimal resource allocation. Indeed, it is possible to analyze the global change effects on inland waterways only if the water resources allocation is optimal. In addition, the events due to climate change are not deterministic. It is obvious that it is not possible to predict precisely their occurrence time, their magnitude and their duration. Hence, it is necessary to consider uncertainties in climate projections, and more precisely uncertainty bounds on these predictions. The objective of this paper is to propose a simulation architecture of inland waterways that couples simulation software of their dynamics and an optimal water resources allocation approach under uncertainties based on Markov Decision Process. The proposed simulation architecture and the designed tools are detailed and implemented by considering some expected climatic events on a part of the inland waterways in the north of France.
A Model Predictive Control Framework for Real-Time Optimisation of Water System Operations
Authors: Madsen Henrik , Falk Anne Katrine , Halvgaard Rasmus
Published: September 2018

We have developed a versatile Model Predictive Control (MPC) framework, which can handle real-time control of a large variety of water systems. The framework combines a fast-solvable optimisation model (a quadratic program) with evaluation and realignment by a detailed hydrological-hydrodynamic model. The flexibility of the MPC framework is highlighted by two case studies: (1) a large-scale river system with several weeks of travel time, and (2) an urban storm and wastewater system with a concentration time of about half an hour to one hour. Both case studies demonstrate a large potential for improving operations by system-wide real-time optimisation.
Exploring the Use of the Three Rainfall Remote Sensing Products for Flood Prediction in the Brahmaputra Basin
Authors: Mazzoleni Maurizio , Bhattacharya Biswa , Laverde Barajas Miguel Angel , Solomatine Dimitri
Published: September 2018

An important aspect in hydrological modelling is the accurate quantification and prediction of rainfall. In ungauged or poorly gauged basins ground data is sparse and often is complemented by rainfall satellite products, which brings additional uncertainties. The main objective of this research is to assess performance of distributed hydrological models using the remotely sensed rainfall estimates as forcings for the model. The model, based is based on the conceptual HBV-96 model and the PCRaster framework, is implemented for the Brahmaputra basin. Three different remote sensed datasets of precipitation (MSWEP, TMPA and PERSIANN-CDR) are used. Simple fusion methods are used to combine models results generate by the dataset of precipitation. The preliminary results of this study show that better model results are achieved merging the output results. Using MSWEP and TMPA as the forcing data provides satisfactory model results. On the other hand, use of PERSIANN-CDR leads to better prediction of flow peaks but overestimations of the hydrographs’ falling limbs.
Data Analysis and Numerical Modelling to Detect Hydrodynamics and Sediment Transport in a semi Enclosed Basin
Authors: De Serio Francesca , Armenio Elvira , De Padova Diana , Mossa Michele
Published: September 2018

Current monitoring programs in the nearshore region are necessary to allow a thorough knowledge of coastline erosion as well as diffusion and dispersion of polluting tracers. Collecting a large amount of data in widespread areas is challenging, because of technical and economic limitations, thus numerical models are often preferred to simulate the hydrodynamics and the transport of tracers in extended areas with the desired level of precision. To be accurate, models need to be calibrated and validated by high quality field measurements. Therefore, to examine current and tracer patterns in a basin, using data and numerical modelling in conjunction could be the best practice. The aim of the present work is: i) to provide some information on the typical and recurrent processes occurring in a target basin, by analyzing a set of current field data; ii) to reproduce the principal current patterns and derive information on the possible sediment transport fluxes in the basin by applying mathematical modelling. The site selected for this study is a semi enclosed coastal sea, in southern Italy. The obtained results successfully confirm the typical hydrodynamic behavior of the basin, and delineate areas which are more exposed to erosion.
Pipe System Characteristics vs. Reliability of Transient Test-Based Techniques for Pipe Inspection
Authors: Meniconi Silvia , Brunone Bruno
Published: September 2018

In this paper the results of field and numerical experiments executed in a real transmission main are presented and discussed. Pressure waves injected into the pipe are generated by means of two quite different methodologies: pump shutdown and the Portable Pressure Wave Maker (PPWM) device.
Flood Forecasting with Uncertainty Using a Fully Automated Flood Model Chain: a Case Study for the City of Kulmbach
Authors: Beg Md Nazmul Azim , Leandro Jorge , Bhola Punit , Konnerth Iris , Amin Kanwal , Koeck Florian , Carvalho Rita F. , Disse Markus
Published: September 2018

Real time flood forecasting can help authorities in providing reliable warnings to the public. This process is, however, non-deterministic such that uncertainty sources need to be accounted before issuing forecasts. In the FloodEvac project, we have developed a tool which takes as inputs rainfall forecasts and links a hydrological with a hydraulic model for producing flood forecasts. The tool is able to handle calibration/validation of the hydrological model (LARSIM) and produces real-time flood forecast with associated uncertainty of flood discharges and flood extents. In this case study, we focus on the linkage with the hydrological model and on the real-time discharge forecasts generated.
Optimizing the Selection of Cross Section Using Information Theory: a Case in the Magdalena River, Colombia
Authors: Alonso Sara , Ridolfi Elena , Biscarini Chiara , Alfonso Leonardo
Published: September 2018

Accurate flood propagation and inundation models are crucial in flood risk assessments. For fast flowing rivers such as the Magdalena River (Colombia) with high vulnerability and exposure rates is even more essential. Indeed, floods in Magdalena River account for 90% of the damages and 70% of the causalities in Colombia. River cross-sectional information (i.e. their number and spacing) must be optimally selected to properly capture river’s hydraulic behaviour. Optimization is a powerful tool for doing such selection often necessary to increase the efficiency of field works and decrease model simulation time. A methodology based on the entropy concept provides interesting results in agreement with those proposed in literature. The optimization method proposes the use of two concepts belonging to information theory: the joint entropy and total correlation. Total correlation quantifies the redundancy of cross-sections; joint entropy provides their information content. This approach is applied to a reach of the Magdalena River. This study analyses the interrelation between the location of the optimal set of cross-sections and the hydraulic behaviour of the Middle-Magdalena River. Further work considers the evaluation of model performance with the optimized cross-sections, where no negative impacts on the reliability of flood profiles with respect to the original model are expected.
EvapoCalc: An Android Application to Estimate Evapotranspiration by Different Methods
Authors: Rodrigues Diogo Francisco Borba , Moura Geber Barbosa De Albuquerque , Montenegro Suzana Maria Gico Lima , Rodrigues Tatiana Patrícia Nascimento Da Silva , Oliveira Leidjane Maria Maciel De , Gusmão Ana Claudia Villar E Luna , Araújo Diêgo Cézar Dos Santos
Published: September 2018

The evapotranspiration consists of counting all the water on the surface of the earth lost to the atmosphere, through evaporation and transpiration. The evapotranspiration can be estimated from evaporimeters and lysimeters (direct methods) and empirical and semi-empirical models (indirect methods). Some models have been developed for semi- arid regions such as the Blaney-Criddle and the Hargreaves-Samani, and other models for temperate climates, such as the Thornthwaite model. The Penman-Monteith model, recommended by the UN-FAO, is the most accurate estimating method for evapotranspiration. A determination of evapotranspiration is essential for irrigation management, to plan system and develop irrigation schedules. The present work aims to develop a tool for mobile devices to estimate evapotranspiration through models, with the help of a GPS receiver, and that allows the comparison of the different models with the FAO standard estimation method. The app is available on Google Play at https://play.google.com/store/apps/details?id=com.thunkable.android.diogo_borbar.Eva poCalc.
Collaborative Development of High Resolution Pluvial Flood Maps for Flanders
Authors: Cauwenberghs Kris , Feyaerts Tom , Hunter Neil , Dewelde Joost , Vansteenkiste Thomas , Huybrighs Michael , Vaes Guido , Berry Rob
Published: September 2018

As part of the low countries and with one of the highest population densities worldwide, the Flemish region has experienced a long history of flooding causing tens of millions euro damage each year. In response to this, water managers invested over the past decade in flood modelling and mapping with a fluvial origin. In recent years, pluvial flooding has also occurred numerous times in Flanders, but a region-wide map describing these processes more in detail in terms of extent, depth and probability was lacking. Following a pilot-study in 2016, the VMM undertook in 2017 the VLAGG1- project to develop a region-wide, high-resolution pluvial flood map for Flanders. Via a combination of state-of-the art methodologies and web technologies, a draft flood map was presented to a broad reviewing community across Flanders, who were then able to improve it further by adding local knowledge on known flooding and more detailed data on key hydraulic structures. In a three month period, over 7000 additions were made by 370 delegates from 165 organizations that have been incorporated into, and significantly improved the quality of the final flood maps which are due to be published in 2019.
Optimising Demand Reduction in Water Utilities
Authors: Hamling Isaac , Bloomfield William , Dearing Kar Yee , Watson Tim
Published: September 2018

Effective water resource planning is an important part of long term strategy for any water company. A good water resource plan will ensure a long-term balance between supply and demand. In this paper we present a scalable, repeatable and transparent model for finding efficient demand reduction solutions given a large number of demand reducing options and small planning regions. This model is being developed for application in UK water utilities for demand side water resource planning to aid results presented to Ofwat, the UK Water regulator, as part of multi-billion-pound long term investment plans. The flexibility and granularity of the approach has been shown to offer significant cost savings while still allowing a utility company to meet customer and stakeholder targets and Ofwat regulatory requirements.
Vegetation Change Analyses Considering Climate Variables and Anthropogenic Variables in the Three-River Headwaters Region
Authors: Chen Chen , Li Tiejian , Li Jiaye , Fu Wang , Wang Guangqian
Published: September 2018

In the terrestrial biosphere, vegetation plays vital roles in providing food and habitats for humankind and animals. In general, vegetation activity is influenced by both climate drivers and anthropogenic drivers, and studies have tried to disentangle contributions of these multiple variables from each other. However, it remains largely unclear how climatic and anthropogenic effects work together to impact on vegetation dynamics. In this study, we analyzed the vegetation change from 1995 to 2014 in the Three-River Headwaters Region (TRHR) using Normalized Difference Vegetation Index (NDVI). We applied partial correlation analyses to discriminate the contributions of climate variables and anthropogenic variables. The result indicates that the TRHR experiences a slightly greening trend from 1995 to 2014. The primary climatic driving factor is temperature for the southeast and south parts of the TRHR, precipitation in the west part, and a combination of precipitation, temperature and cloud cover for northeast part. The interaction between precipitation and cloud cover, precipitation and grazing activity, temperature and population activity, contribute to vegetation growth. The relationship between vegetation activity and the driving factors are evolving towards the direction which vegetation favors for the past two decades.
1D Model vs 2D Model for Flooding Events
Authors: Morales-Hernández Mario , Echeverribar Isabel , García-Navarro Pilar , Brufau Pilar
Published: September 2018

One dimensional (1D) shallow water models are widely used for prediction purposes to assess and help river basin administrations and public authorities in the decision-making process. However, their results can be inaccurate since the hypotheses underlying the 1D model are not satisfied during flooding events. On the other hand, two-dimensional (2D) models offer more information to follow the inundation process and the flow properties over floodplains. Despite the well- known higher computational cost of 2D models, they have gained popularity since they can be implemented under GPU cards that allow faster computations, providing more information than 1D models. In this work, two flooding events in the Ebro River (Spain) are analyzed to evaluate the performance of both 1D and 2D shallow water models.
Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization
Authors: Aydin Boran Ekin , Rutten Martine , Abraham Edo
Published: September 2018

Surface water salinization in deltaic areas due to saline groundwater exfiltration is an important issue. Fresh water diverted from the rivers is used for flushing the canals and the ditches in coastal areas to remove the low quality saline surface water mixed with saline groundwater. Worldwide, deltaic areas are under stress due to climate change, sea level increase and decrease in fresh water availability. The current fresh water management strategies in polders to overcome the salinization problem solely depends on uncontrolled freshwater use. However, this operation will not be effective during a scarce freshwater availability scenario and has to be revised for efficient management possibilities. With the advances in real time measurement of salinity and water level measurements, using a Model Predictive Control (MPC) scheme for the operation of a polder system is gaining popularity. MPC is a powerful control tool that can handle multiple objectives, consider the constraints and the uncertainties of the system. However, a MPC scheme requires a simple and reliable internal model that will be used to calculate the optimum control actions. The internal model should be robust, should reflect the system behaviour with enough detail and should not be computationally costly. In this paper, a MPC scheme is proposed using the discretized linearized De Saint Venant (SV) and Advection-Diffusion (AD) equations as the internal model of the controller. The proposed scheme will be able to control salinity and water level at any discretization point by manipulating the flushing and outflow discharges. This is an ongoing research with tests continuing on a realistic test case.
Impact of Sediments and Constructions on River Flooding in Coimbra, Portugal
Authors: Sa Marques Jose Alfeu , Simoes Nuno , Maluf Lucas , Santos Fernando Seabra , Vieira Jose , Pinho José , Vieira Luis
Published: September 2018

In Coimbra city, Portugal, the riverbanks have suffered several floods events in the past, due to its hydrological regime, the low slope and consequent lack of capacity of the Mondego River in its final 30 km. The construction of several dams in the upstream part of the river catchment has improved the use of the hydraulic capacity of the river system and reduced the number and intensity of flooding events in Coimbra. Nevertheless, intense rainfall events combined with inadequate procedures of the dam operation rules and lack of monitoring of sediments dynamics can still originate inundation in Coimbra such as those registered between 9th and 11th of January 2016. This work presents modelling scenarios demonstrating the influence of the sediment accumulation into the riverbed and its effect on the water levels. It also presents the influence that piers from a new bridge can have into the river flow dynamics.
Risk Informed Decision-Making Framework for Operating Reservoirs Under Flooding Conditions: Accounting for Uncertainty and Risk
Authors: Shawwash Ziad , Everett James H.
Published: September 2018

This paper presents the Risk Informed Decision-making Framework and software tool we developed that formally account for flood risk and uncertainty in reservoir operations. The framework and the software tool are intended for practical use by reservoir operations planners to manage flooding events. We present a robust and comprehensive approach that accounts for a multitude of flood risks and their impacts, and that enables its users to identify those alternative reservoir operating plans that formally adopt a state-of-the-art risk informed decision-making framework. Solidly grounded in and closely follows a well-structured planning process, the framework augments existing planning processes and information flows that incorporates specific techniques and methods from probabilistic risk analysis (PRA) and Multi-criteria Decision Analysis techniques (MCDA). Seven major hydropower companies and agencies in North America and Europe sponsored the development of the framework and the decision support tool. We present the results of a case study to illustrate the framework and the software system. We show that numerous advantages can be achieved using such tools over currently used approaches and that in the case of risky and high-impact processes, such as in the management of potentially high-consequence facilities such as storage reservoirs, management by a human operator is essential.
Smart Water Demand Forecasting: Learning from the Data
Authors: Xenochristou Maria , Kapelan Zoran , Hutton Chris , Hofman Jan
Published: September 2018

Accurate forecasts of demand are essential for water utilities in order to manage, plan, and optimize the operation of their network. This work aims to develop a new method for short- term water demand forecasting by utilizing a new data-driven approach based on Random Forests, as well as consumption recordings, household, and socio-economic characteristics, and weather data. Initial results, obtained on real-life consumption data from the UK, demonstrate the potential of this method and show the importance of disaggregating consumption when attempting to determine the influence of weather on water demand. In this study, adding weather input to the model achieved improved forecasting accuracy, especially for the aggregation of properties with medium occupancy and affluent residents during summer months.
A publicidade sedutora de perfume como materialização da fantasia do histérico. Análise de anúncios gráficos onde o corpo feminino apresenta-se como extra-sexual
Authors: Rodríguez Vanessa Brasil Campos
Published: September 2018

No presente estudo procuramos fazer uma reflexão, à luz das contribuições da psicanálise e da semiótica narrativa, sobre a imagem da mulher e como esta se inscreve na publicidade sedutora de perfume. Foram de fundamental importância os estudos de Nasio (1991) sobre a histeria e o método de análise proposto por Requena (1996). A partir da análise de alguns anúncios gráficos sedutores de perfume que selecionamos podemos observar que o objeto publicitado (imagem do frasco de perfume) aparece sempre associado ou acoplado à figura de uma mulher magnífica, descomunal, uma imagem de mulher poderosa e avassaladora que representa e se apresenta para o espectador como a fantasia -visão ou pesadelo- do histérico. Vimos emergir uma mulher-falo, esplendorosa em sua onipotência, mas potencialmente ameaçadora. O corpo feminino aparece muito erotizado e exibe signos gestuais de excitação sexual permanente, simulando um gozo infinito, isto é, un gozo impossível de realizar-se.

Palavras chave: publicidade sedutora, histeria, fantasia, imagem feminina, mãe-falo.
O Réveillon Nosso De Cada Ano Novo: um megaevento em discussão.
Authors: Sant'anna Cristina Nunes de , Elias Roberto Vilela
Published: September 2018

Este artigo objetiva trazer uma contribuição ao estudo dos megaeventos, bem como o papel das múltiplas comunicações e culturas na rotina e na memória das cidades de seus muitos atores durante e depois deste acontecimento. Cidades são representações sociais e formas de cultura, são fenômenos de comunicação compartilhados e imbricados em vastas e profundas estruturas complementares entre si e um megaevento está entre estes fenômenos. No caso do Réveillon carioca, a própria cidade vira um megaevento à medida que recebe milhares de pessoas para estar em seu espaço urbano. O megaevento se propaga em explosões de comunicações e, por mais que se tente evitar, ele invade, altera rotinas e perpetua-se em memórias.
A Virada Não Humana na Comunicação: contribuições da Teoria Ator-Rede e da Ontologia Orientada aos Objetos
Authors: Salgado Tiago Barcelos Pereira
Published: September 2018

O texto apresenta as contribuições da Teoria Ator-Rede (TAR) e da Ontologia Orientada aos Objetos (OOO) para a concepção não antropocêntrica de comunicação ao entender que ambas as abordagens se inscrevem na “virada não humana”. Por meio de revisão de literatura, sustenta que as condições humana e não humana devem ser pensadas irredutível e simetricamente, conforme a noção de objeto formulada pela OOO, que abarca a de ator proposta pela TAR. Com base nas quatro tensões entre objetos e qualidades (reais ou sensuais), as relaciona com o noção de meio (medium). Ao compreender a comunicação como ação comum em que há contato e contágio entre objetos, propõe que a condição midiática relacionada às tensões entre objetos e qualidades pode instaurar uma condição comunicacional. A comunicação é definida como sociotécnica ou híbrida, de modo não antropocêntrico, deslocando, como o fazem a TAR e a OOO, o humano do centro da ação, e incluindo os não humanos como capazes de agir e interagir. 
Whitehead, teórico da mídia?
Authors: B. N. Hansen Mark
Published: September 2018

Com base no empirismo especulativo do filósofo Alfred North Whitehead, o artigo investiga como as novas mídias chamam a atenção para elementos de sensibilidade que afetam grandemente a individualidade humana sem pertencer de forma alguma ao humano. Da mídia social à mineração de dados e às novas tecnologias de sensores, a mídia no século XXI trabalha em grande parte fora do âmbito da consciência perceptiva, mas ao mesmo tempo influencia todas as nossas sensações. Na compreensão desse paradoxo, temos a chance de apresentar uma visão radicalmente nova do devir humano, que nos permita reagrupar o humano em uma visão não antropocêntrica do mundo e de nossa experiência nele.
Pampsiquismo provado
Authors: Rucker Rudy
Published: September 2018

Um micro conto sobre pampsiquismo
Meneguhkan Komitmen Menjadi Pelayan
Authors: Pattinama Claartje
Published: September 2018

Tulisan ini mengungkapkan tentang realitas kehidupan sebagian mahasiswa teologi yang pada awal memasuki fakultas teologi dengan cita-cita menjadi pelayan di masyarakat dan gereja. Tetapi dalam perjalanan studi ada saja diantara mereka yang gagal mewujudkan cita-cita itu karena berbagai sebab, misalnya terpaksa drop out, karena tidak belajar dengan serius. Ada yang terpaksa dipecat dari statusnya sebagai mahasiswa karena melanggar aturan yang berlaku difakultas. Kesimpulannya mahasiswa yang gagal itu karena tidak memiliki komitmen yang kuat untuk meraih cita-citanya.
Estudo da comercialização de peixes ornamentais da família Loricariidae (Siluriformes) em Santarém/PA.
Authors: De Sousa Albino , Melo Maciel Luan Aércio , Ribeiro Rodrigues Luís Reginaldo
Published: September 2018

In Brazil, the trade of ornamental fish from freshwater environments still relies on the essentially extractive activity, largely in the Amazon region. The Pará State is one of the major Loricariidae ornamental fish supplier, especially with the Xingu and Tapajós river basins. In the present study, we analyzed the Loricariidae ornamental fish trade from the Tapajós River, marketed by companies operating at Santarém city. The raw data were compiled from the official documents: Animal Transport Guides (GTA) and Fish Transit Guides for Ornamental and Aquarium Fisheries (GTPON), covering a period from January/2013 to December/2016. Were sold 136.705 fish units, which yielded the gross income of R$ 365.013,80. The species Baryancistrus sp. (LDA33), Hypancistrus sp. (L260), Pseudacanthicus sp (L273) and Peckoltia compta (L134) were the most productive and economically profitable, accounting for 59.6% of the gross income in the period from January/2013 to December/2016. The ornamental fish production of Santarém/PA resulted from the extractive artisanal fishing and was almost fully sold into the Brazilian market. Since there is still scarce literature about the ornamental fishery in the Tapajós basin, these results are important for the understanding of the local productive chain.
Epidemiological Situation of Tick-Borne Encephalitis in the Kurgan Region (1983–2017)
Authors: Pogodina V. V. , Shcherbinina М. S. , Skrynnik S. M. , Bochkovа N. G. , Kolyasnikova N. M. , Shirokova N. A.
Published: September 2018

Relevance.Тhe Ural Federal district (Ural Federal district) is a highly endemic tick-borne viral encephalitis (TBEV) territories in the Russian Federation. The epidemiological situation on the TBEV is studied in Sverdlovsk and Chelyabinsk regions and slightly shown in the Kurgan region. There is no information about the evolution TBEV, the structure of immunity population, vaccine prevention in the Kurgan region. The article presents the dynamics epidemiological situation on TBEV in the Kurgan region over a 30-year period.

Materials and methods: Used expedition reports, viral encephalitis named after the Academy of medical Sciences of the USSR for 1983–2007, as well as materials of medical institutions of the Kurgan region 2007–2017. For population immunity used: hemagglutination test (HAI-test), neutralization test (NT). To identify specific antibodies – IgG, IgM, antigen of TBEV, sets of reagents of ELISA from «Vector-Best» were used. To immunotypicalli and genotypically Strains and isolates RNA of TBEV isolated in 1983–2007, used precipitation in agar (RDPA) and by RT-PCR technique in real time with genotypespecific probes.

Results and discussions: Kurgan region is a highly TBEV endemic area. the morbidity rate – 18,3 per 100 thousand people 1983. Maximum elevation – 44.1 in 1996 to and decrease to 13.5 in 2000–2012. The immune part of the population according hemagglutination tests, on epidemiologically significant territories is 15–20%, (66% NT), in the regions with sporadic incidence is 8%, (21–50% NT), in non-endemic territories – 3%. At the present stage, the region marked the expansion of nosoareal TBEV due to the previously less significant Eastern regions. In Kurgan region vaccination coverage against TBE 39.3%. The clinical efficacy of vaccination was manifested in an increase in fever forms of TBE disease and a decrease in meningeal and focal forms of the disease. In the period 2004–2012 the number of vaccinated patients was 20.3% of the total number of patients.

Сonclusions. Evolution of tick-borne encephalitis manifested the expansion of nosoareal TBEV, increase seasonal activity of ticks, the TBEV Siberian subtype is absolutely dominating.