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- W2258128648 abstract "Soil erosion and sediment deposition are primary causes of adverse impacts to surface water quality. Eroded soil subsequently becomes sediment creating the potential for water degradation. Hydrological modeling is a powerful technique of hydrologic system investigation for both the research hydrologists and the practicing water resources engineers involved in the planning and development of integrated approach for management of water resources. Rainfall-runoff models play an important role in water resource management planning and therefore, different types of models with various degrees of complexity have been developed for this purpose. The rainfall-runoff relationship is one ofthe most complex hydrologic phenomena and it is based on tremendous spatial and temporal variability of watershed characteristics, precipitation patterns etc. Therefore other models were not performing well. ANN 1-12-1 architectures can be adopted to estimate runoff from ungauged watershed with rainfall as input. Controlling the runoff would require a complete assessment of soil erosion and associated non-point source pollution impacts in the watershed from a long-term perspective." @default.
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- W2258128648 date "2014-01-01" @default.
- W2258128648 modified "2023-09-26" @default.
- W2258128648 title "Rainfall-Runoff modeling of Small Watershed in Konkan Region Using Artificial Neural Network" @default.
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