This paper describes an integral system to model nonpoint source pollution in surface waters. Diffuse pollution models were included in a Spatial Decision Support System (SDSS) with a unique platform, common interfaces and Geographic Information System (GIS) capabilities. This consists of preand postprocessing tools, model control and sensitivity analysis for the parameters in the models. Parti...

Abstract In recent years, floods have become one of the natural hazards that generate greatest economic and human losses on planet. As is well known, torrential rainfall events are triggering factor for flooding processes; nevertheless, it worth examining responsibility factor, such as urban development, in occurrence these potential disasters. To this end, observations obtained during differen...

flood is considered as a major threat among natural disasters in the world. this case becomes more important and has a higher risk in urban areas due to the existence of important uses. therefore, to reduce damages resulted from flood, this phenomenon must be managed and planned using structural and non-structural approaches. considering the development in iran has been carried out in high risk...

Estimating the flows of rivers can have significant economic impact, as this can help in agricultural water management and in protection from water shortages and possible flood damage. The first goal of this paper is to apply neural networks to the problem of forecasting the flow of the River Nile in Egypt. The second goal of the paper is to utilize the time series as a benchmark to compare bet...

Accurate rainfall forecasts using numerical weather prediction (NWP) models can provide significant increases in forecast lead-time and thereby give greater opportunity for flood warning and protection measures. One goal of the FLOODRELIEF project is to quantify the uncertainty of forecast precipitation fields from two different NWP models (Eta and MM5) to investigate the impact of precipitatio...

A new agricultural flood losses prediction method using digital elevation data combined with agricultural economic data is presented. The method is based on dynamically simulating the procedure of flood out. An example in Huangdunhu flood detention area, Jiangshu province of China has been given to describe how to use it to predict the incoming agricultural losses. Compared with prior methods, ...

Considering characteristics of high river density, special underlying surface in plain river network region, and municipal drainage system function, river network drainage unit model is proposed, which is defined as a region surrounded by main river or embankment. Flood storage variety and control projects regulation of small rivers in each unit is simulated. With drainage catchment as an objec...