Title :
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
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;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964278
