نتایج جستجو برای: karkheh river

تعداد نتایج: 83622  

استاد عسگری, منصور , شفاعی بجستان, محمود ,

The application of “Modified Einstein Procedure” is recommended by the Specialized Committee on Sediment, Iranian Ministry of Energy. However, this method has not been applied to any river in the country. It is the purpose of this study to investigate the total sediment load of the Karun and Karkheh rivers at Ahwas and Hamidieh stations. The graphical calculations of the method are very complic...

Journal: :international journal of environmental research 0

the karkheh dam reservoir with a capacity of more than 5 billion cubic meter is the largest dam in iran with both agricultural and drinking usages. its hydrodynamics and water quality were modeled and simulated to analyze the total maximum daily load (tmdl) of total dissolved solids (tds). the simulation was supported with measurements of temperature and tds measurements during two years. a lat...

ترابی پوده, حسن , قمشی, مهدی ,

Many sediment transport equations have been developed for estimation of the river sediment materials during the past four decades. There are significant differences in the results from these equations when applied to compute sediment transport for a specific river. Therefore, application of an equation for estimation of a river sediment load is not an easy task. In this study, 12 important sedi...

Journal: :مرتع و آبخیزداری 0
ام البنین بذرافشان استادیار دانشکدة منابع طبیعی دانشگاه هرمزگان علی سلاجقه دانشیار دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران احمد فاتحی مرج استادیار مرکز تحقیقات کم آبی و خشک سالی در کشاورزی و منابع طبیعی، تهران محمد مهدوی استاد دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران جواد بذرافشان استادیار دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران سمیه حجابی دانشجوی دکتری دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران

drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

Knowing how the low flow changes upstream and its trend provides valuable information on water resources management, water rights, and the improvement of crop patterns. It also helps to identify suitable areas for water control management along the river from water resources management perspective. In addition to economic issues, the preservation of river ecosystems is an important matter that ...

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