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

fYear

2011

fDate

15-17 July 2011

Firstpage

2406

Lastpage

2409

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5987467

Filename

5987467