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Factors controlling sediment yield in China's Loess Plateau
Author(s) -
Xin Zhongbao,
Yu Xinxiao,
Lu X. X.
Publication year - 2011
Publication title -
earth surface processes and landforms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.294
H-Index - 127
eISSN - 1096-9837
pISSN - 0197-9337
DOI - 10.1002/esp.2109
Subject(s) - sediment , loess , precipitation , surface runoff , vegetation (pathology) , loess plateau , hydrology (agriculture) , erosion , environmental science , yield (engineering) , plateau (mathematics) , physical geography , geology , soil science , ecology , geomorphology , mathematics , geography , meteorology , metallurgy , medicine , mathematical analysis , materials science , geotechnical engineering , pathology , biology
The Loess Plateau in China, an area with some of the highest sediment yield in the world, contributes predominant proportion of the sediments found in the Yellow River. We examined sediment yield and its control variables in the plateau based on a multi‐year dataset from 180 gauging stations in areas varying in size from 10 2 to 10 4 km 2 . Various morphometric, hydrologic, climatic and land cover variables were estimated in order to understand and predict the variations in sediment yield. The results show a spatial pattern of sediment yield exhibiting an obvious zonal distribution and a coupling between precipitation and vegetation cover that fits the Langbein–Schumm law. A critical threshold of precipitation and vegetation cover was observed among the relationships of sediment yield and precipitation/vegetation cover. A multiple regression equation with three control variables, i.e. vegetation cover, percentage of cultivated loess and annual runoff, explains 65% of the total variation in sediment yield. For the loess dominated basins, where the cultivated loess accounts for more than 60% of the total area, annual runoff was the dominant variable, explaining 76% of the observed variation in sediment yield. The established equation could be a valuable tool for predicting total sediment yield in the Loess Plateau. Copyright © 2010 John Wiley & Sons, Ltd.