UTILIZING A DISTRIBUTED HYDROLOGICAL MODEL TO SIMULATE RUNOFF IN THE SOIL EROSION REGION - CASE OF WEI RIVER CATCHMENT IN CHINESE LOESS PLATEAU
作者:Zhao, HG (Zhao, Haigen)[ 1,2,3 ] ; Yang, ST (Yang, Shengtian)[ 1,2,3 ] ; Zhou, QW (Zhou, Qiuwen)[ 1,2,3 ] ; Luo, Y (Luo, Ya)[ 1,2,3 ] ; Wang, ZW (Wang, Zhiwei)[ 1,2,3 ] ; Wu, LN (Wu, Linna)[ 1,2,3 ] ; Zhou, X (Zhou, Xu)[ 1,2,3 ]
FRESENIUS ENVIRONMENTAL BULLETIN
卷: 23  期: 7A  页: 1708-1714
出版年: 2014

摘要
Soil erosion is a global environmental problem and a major threat to terrestrial ecosystems. The Chinese Loess Plateau is one of the world's most severe water erosion regions. The occurrence of water erosion is closely related to short-duration and high-intensity rainstorms and peak runoff. It is, therefore, important to simulate the rainfall-runoff relation in order to evaluate and prevent soil erosion. To this end, we utilized the Distributed Time Variant Gain Model (DTVGM) to simulate the hydrological processes in Wei River catchment (Chinese Loess Plateau). The simulation was performed from January 2002 to December 2007, at daily and monthly time scales. The results showed that the Nash-Sutcliffe coefficient (CNs) values were 0.73 and 0.55 in calibration and validation periods at daily time scale, and the correlation coefficient (Coe) values were 0.86 and 0.74 for the same periods. At monthly time scale, the CNs was 0.78 and the Coe value was 0.90. In addition, the Water Balance Relative Error (WE) values were in a reasonable range at daily and monthly time scales. The study confirms that the DTVGM is a reliable tool for simulating water resources, which can be used to evaluate and prevent soil erosion in the Loess Plateau, and that it is a potential tool for environmental protection and sustainable development.

通讯作者地址: Yang, ST (通讯作者)
Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.
地址:
[ 1 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 2 ] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100875, Peoples R China
[ 3 ] Beijing Normal Univ, Res Ctr Remote Sensing & GIS, Beijing Key Lab Remote Sensing Environm & Digital, Sch Geog, Beijing 100875, Peoples R China