Abstract The flood regimes have been changing due to the climate change and human activities. Evaluating risk under nonstationarity is critical water resource management authorities in disaster reduction. In this study, annual maximum streamflow (AMS) was used analyze frequency Hanjiang River (HJR) Basin. A Generalized Additive Model for Location, Scale Shape (GAMLSS) employed characterize AMS ...

The SNE special issues on Object-oriented and Structural-dynamic Modelling and Simulation emphasize recent developments in languages and tools for object-oriented modelling of complex systems and on approaches, languages, and tools for structural-dynamic systems. Computer aided modelling and simulation of complex systems, using components from multiple application domains, have in recent years ...

The statistical downscaling tool of a model (SDSM) to generate the future climate piedmont plain area in Hebei Province for 30-year period. Xinji city was selected as typical example this area. crop growth decision support system agrotechnology transfer (DSSAT) adopted estimate changing trends water footprint winter wheat production under conditions, and obtain optimal irrigation scheme an ‘acc...

This study presents an evaluation of climate and land-use changes induced impacts on water resources Multan City, Pakistan. Statistical Down Scaling Model (SDSM) Geographical Information System (GIS) are used for change scenario spatial analyses. Hydrologic Engineering Center’s Hydraulic Modeling (HEC-HMS) model is rainfall-runoff simulation. The investigated results show significant in climato...

climate change has various effects on the quantity of rainfall and warming also is lead to increases in frequency and intensity of droughts by accelerating earth drying up and consequently. it is effective on the curves of severity- duration- frequency of drought (sdf). the purpose of this study is to evaluate the effects of climate change on sdf curves in the future in qareh su basin located i...

flood is one of the most calamitous natural disasters that causes extensive property and life damages across theworld. it however, could be a blessing due to its special natural water resources recharging value. by simulating themagnitude of probable floods considering the anthropogenic and natural effects and implementing contingency plans,their damages could be reduced. in this paper, the gen...

Abstract In this study, the artificial neural network (ANN) method was applied to investigate impacts of climate change on water quantity and quality Qu'Appelle River in Saskatchewan, Canada. First, second-generation Canadian earth system model (CanESM2) adopted predict future conditions. The Statistical DownScaling Model (SDSM) then downscale generated data. To analyze river, concentrations di...