Evolvement analysis about rainfall-runoff in the upper stream of Li River under the changeable environment

Author

Long Xi-ting ; Guo Chun-qing ; Yu Xiao

Author_Institution

Coll. of Environ. Sci. & Eng., Guilin Univ. of Technol., Guilin, China

fYear

2011

fDate

24-26 June 2011

Firstpage

318

Lastpage

322

Abstract

Comprehensive study about the development of the precipitation and runoff in Li River was taken by using such methods: regression analysis method, Mann-Kendall rank correlation test method, sequential clustering method and mean value test method. Further the influence caused by the environmental change in the upstream of the Li River to runoff was analyzed. According to the results, the trend lines of rainfall, annual runoff and average annual runoff show insignificant raise, among which the one of rainfall is more remarkable than that of the other two ones. The effect of environmental change on annual runoff was analyzed by using BP neural network method. Then it was found that human activity has a relatively major effect. Since 1991 rainfall change has been the main influencing factor.

Keywords

backpropagation; hydrology; neural nets; pattern clustering; rain; regression analysis; rivers; BP neural network method; China; Li River upper stream; Mann-Kendall rank correlation test method; changeable environment; environmental change; evolvement analysis; human activity; mean value test method; precipitation development; rainfall; regression analysis method; runoff; sequential clustering method; Artificial neural networks; Humans; Hydrology; Meteorology; Reservoirs; Rivers; changeable environment; trend analysis; upper stream of Li River;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5964278

Filename

5964278