The knowledge about the seasonal rainfall in some Brazilian regions is essential for agriculture and the adequate management of water resources. For this purpose, linear and nonlinear models are commonly used for seasonal rainfall prediction, while some of them are based on Artificial Neural Networks, demonstrating great potential as shown in literature. According to this tendency, this work pr...

erosion is one of the important social-economic problems in iraniancatchments that have been posed by surface water vastness and runoff production. so, thestudy of water resources, soil erosion and effective factors is of high importance. gullyerosion also extends in many parts of iran and its study particularly in viewpoint ofsediment yield is therefore very important and should be taken into ...

River ow forecasts are required to provide basic information for reservoir management in a multipurpose water system optimisation framework. An accurate prediction of ow rates in tributary streams is crucial to optimise the management of water resources considering extended time horizons. Moreover, runo3 prediction is crucial in protection from water shortage and possible ood damages. In this p...

Animal waste from dairy and poultry operations is an economical and commonly used fertilizer in the state of Louisiana. The application of animal waste to pasture lands not only is a source of fertilizer, but also allows for a convenient method of waste disposal. The disposal of animal wastes on land is a potential nonpoint source of water degradation. Water degradation and human health is a ma...

It is now widely acknowledged that climate variability modulates the frequency of extreme hydrological events. Traditional methodologies for hydrologic frequency analysis are not devised to account for variation in the exogenous teleconnections. Flood frequency analysis is further plagued by the assumptions of stationary in the causal structure as well as ergodicity. Here, we propose a dynamica...

the projected rainfall change under various scenarios is likely to have both positive and negative implications on agriculture and water supply because in rainfall pattern across the country. rise in rainfall is seen over all states except punjab, rajasthan and tamil nadu, which show slight decrease in precipitation in the future scenarios. marked increase in covering the western ghats and nort...

columbi Summary We investigate the viability of using El Niño–Southern Oscillation (ENSO) and sea surface temperature (SST) data to predict seasonal streamflow for one of the major rivers in Sri Lanka, the Kelani, using correlation analysis, contingency tables, and principal component analysis. The agricultural seasons in Sri Lanka are Yala (April–September) and Maha (October–March). The correl...

     Reduction of water resources limits the ability of farmers for food production and subsistence. Nowadays the quick growth of population has been the most important factor in the decline of renewable water. In many parts of Iran, including region of interest, the major factor in water resources decline was land use change, that may  cause to ecological destruction and disruption. Sustainabl...

In this study, urban pluvial flood risk is studied in an actual study area using scenario simulation method based on hydrodynamics. Real weather data and GIS (Geographic Information System) data are adopted to make the results reliable. A region in Haidian District of Beijing is selected as the study area. All the rainfall scenarios (about 200 scenarios) during an 8-year period (from January 1,...