it is necessary to use empirical models for estimating of instantaneous peak discharge because of deficit of gauging stations in the country. hence, at present study, two models including artificial neural networks and nonlinear multivariate regression were used to predict peak discharge in taleghan watershed. maximum daily mean discharge and corresponding daily rainfall, one day antecedent and...

Monthly composites of the Normalized Difference Vegetation Indices (NDVI), derived from the National Oceanic and Atmospheric Administration's (NOAA) Advanced Very High Resolution Radiometer (AVILRR), were transformed linearly into monthly evaporation rates and compared with detailed hydrologic-model simulation results for five watersheds across the United States. Model-simulated monthly evapora...

Forecasting water deficit is challenging because it modulated by uncertain climate, different environmental and anthropic factors, especially in arid semi-arid northwestern China. The monthly index D at 44 sites China over 1961−2020 were calculated. key large-scale circulation indices related to screened using Pearson’s correlation (r). Subsequently, we predicted with the multi-variable linear ...

increased concentration of greenhouse gases is expected to alter the radiative balance of atmosphere, causing increases in temperature and changes in precipitation patterns and other climatic variables. these changes are associated with the changes in hydrological systems globally and at the basin scale. these changes include: precipitation patterns and extremes; the amount and generation of ri...

Monthly discharge is one of the most important factors considered in designs and hydrological works. Some watersheds are not equipped with needed hydrometric equipment. In such a case average monthly discharge could be estimated from regional monthly water balance models of representative watersheds. In this study, Thornthwaite & Mather (TM) model were used in the Pishkouh watershed in arid cli...