Geomorphology Based Semi-distributed Approach for Modeling Rainfall-runoff Modeling Using GIS
نویسندگان
چکیده
منابع مشابه
Rainfall-runoff process modeling using time series transfer function
Extended Abstract 1- Introduction Nowadays, forecasting and modeling the rainfall-runoff process is essential for planning and managing water resources. Rainfall-Runoff hydrologic models provide simplified characterizations of the real-world system. A wide range of rainfall-runoff models is currently used by researchers and experts. These models are mainly developed and applied for simulation...
متن کاملModeling Ghotour-Chai River’s Rainfall-Runoff process by Genetic Programming
Considering the importance of water and computing the amount of rainfall runoff resulted from precipitation in recent decades, using appropriate methods for predicting the amount of runoff from rainfall date has been really essential. Rainfall-runoff models are used to estimate runoff generated from precipitation in the catchment area. Rainfall-runoff process is totally a non-linear phenomenon....
متن کاملModeling Ghotour-Chai River’s Rainfall-Runoff process by Genetic Programming
Considering the importance of water and computing the amount of rainfall runoff resulted from precipitation in recent decades, using appropriate methods for predicting the amount of runoff from rainfall date has been really essential. Rainfall-runoff models are used to estimate runoff generated from precipitation in the catchment area. Rainfall-runoff process is totally a non-linear phenomenon....
متن کاملA geomorphology-based semi-distributed watershed model
A semi-distributed watershed model was developed that conceptualizes the catchment as a cascade of nonlinear storage elements whose geometric dimensions are derived from the Horton±Strahler ordering of the stream network. Each storage element represents quick storm runo over land or in a channel segment. The physically based groundwater submodel is parameterized through the application of the ...
متن کاملapplication of several data-driven techniques for rainfall-runoff modeling
in this study, several data-driven techniques including system identification, adaptive neuro-fuzzy inference system (anfis), artificial neural network (ann) and wavelet-artificial neural network (wavelet-ann) models were applied to model rainfall-runoff (rr) relationship. for this purpose, the daily stream flow time series of hydrometric station of hajighoshan on gorgan river and the daily rai...
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ژورنال
عنوان ژورنال: Aquatic Procedia
سال: 2015
ISSN: 2214-241X
DOI: 10.1016/j.aqpro.2015.02.114