Assessing sediment connectivity and soil erosion by water in a representative catchment on the Loess Plateau, China
文献类型:期刊论文
作者 | Zhao, Guangju1,2; Gao, Peng1,2; Tian, Peng3; Sun, Wenyi1,2; Hu, Jinfei1,2; Mu, Xingmin1,2 |
刊名 | CATENA |
出版日期 | 2020-02-01 |
卷号 | 185页码:10 |
ISSN号 | 0341-8162 |
关键词 | Check dams Land use changes RUSLE model Soil erosion Sediment connectivity |
DOI | 10.1016/j.catena.2019.104284 |
通讯作者 | Mu, Xingmin(xmmuiswc@gmail.com) |
英文摘要 | The hydrological connectivity on the Loess Plateau has been greatly altered by soil and water conservation measures in the past six decades, leading to significant reduction in sediment load. Nevertheless, how these measures affect sediment transport at the catchment scale remains unclear. This study coupled an index of connectivity (IC) with the Revised Universal Soil Loss Equation (RUSLE) model to estimate the sediment yield in the Yanhe catchment (7,725 km(2) ). The model was used to assess the impacts of land use changes and check dam construction on sediment delivery. The land use maps showed increasing grassland (10.3%) and decreasing arable land (12.3%) from 1990 to 2010. The ranges of IC between the two land use scenarios showed significant changes with an average of 0.3 in 1990 and -0.5 in 2010. Land use changes resulted in average sediment delivery ratio decreasing from 0.39 in 1990 to 0.30 in 2010. The model was calibrated by annual sediment load at a gauging station, covering 5,852 km(2) of the catchment and by sedimentation rates behind check dams in a representative sub-catchment. Measured and simulated sediment load showed consistent agreement, suggesting acceptable model performance. An approximately 60.7% reduction in sediment yield was attributed to land use changes and increasing check dams' construction from 1990 to 2010. This study provided a good example of combining the IC with a soil erosion model to identify spatial patterns and temporal variations in sediment yield due to soil conservation measures. |
WOS关键词 | YELLOW-RIVER BASIN ; HYDROLOGICAL CONNECTIVITY ; FLOW CONNECTIVITY ; MIDDLE REACHES ; CHECK DAMS ; LANDSCAPE ; DELIVERY ; YIELD ; FRAMEWORK ; RUNOFF |
资助项目 | National Key Scientific Research Project[2016YFC0402401] ; National Natural Science Foundation of China[51509206] ; Shaanxi International Exchange and Cooperation Project[2017KW-042] ; West Light Foundation of the Chinese Academy of Sciences[XAB2017A03] ; Special-Funds of Scientific Research Programs of State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau[A314021403-Q2] |
WOS研究方向 | Geology ; Agriculture ; Water Resources |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000504504500024 |
资助机构 | National Key Scientific Research Project ; National Natural Science Foundation of China ; Shaanxi International Exchange and Cooperation Project ; West Light Foundation of the Chinese Academy of Sciences ; Special-Funds of Scientific Research Programs of State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/131148] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Mu, Xingmin |
作者单位 | 1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China 2.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China 3.Northwest A&F Univ, Coll Nat Resources & Environm, 3 Taicheng Rd, Yangling 712100, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Guangju,Gao, Peng,Tian, Peng,et al. Assessing sediment connectivity and soil erosion by water in a representative catchment on the Loess Plateau, China[J]. CATENA,2020,185:10. |
APA | Zhao, Guangju,Gao, Peng,Tian, Peng,Sun, Wenyi,Hu, Jinfei,&Mu, Xingmin.(2020).Assessing sediment connectivity and soil erosion by water in a representative catchment on the Loess Plateau, China.CATENA,185,10. |
MLA | Zhao, Guangju,et al."Assessing sediment connectivity and soil erosion by water in a representative catchment on the Loess Plateau, China".CATENA 185(2020):10. |
入库方式: OAI收割
来源:地理科学与资源研究所
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