Title :
Rainfall-runoff forecast method based on GIS
Author :
Zhou Zhen-min ; Wang Xuechao ; Zhou Ke
Author_Institution :
North China University of Water Conservancy and Hydropower, hengzhou, 450011. China
Abstract :
Firstly, the different factors in the hydrological process and information treatment were analyzed. Secondly, application of the neural networks model with the basis of genetic Algorithms were studied. Thirdly, based on GIS map, the basin rainfall runoff forecast method was put forward. Through GIS rainfall information treatment, the precision of input datum to the rainfall runoff model was improved. Finally, through example analysis, the dependability and efficiency of the method application in rainfall runoff forecast was examined.
Keywords :
geographic information systems; hydrological techniques; rain; weather forecasting; GIS map; GIS rainfall information; genetic Algorithms; hydrological process; information treatment; neural networks model; rainfall runoff model; rainfall-runoff forecast method; Adaptation models; Biological cells; Couplings; Encoding; Genetic algorithms; Geographic Information Systems; Predictive models; Genetic Algorithms; Geographic Information System; Neural Networks; Rainfall Runoff Forecast;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5987467
