title: [Assessment of the impacts of soil erosion on water environment based on the integration of soil erosion process and landscape pattern].
abstract: The integration of the effects of landscape pattern to the assessment of the impacts of soil erosion on eco-environmental is of practical significance in methodological prospect, being able to provide an approach for identifying water body's sediment source area, assessing the potential risks of sediment export of on-site soil erosion to the target water body, and evaluating the capacity of regional landscape pattern in preventing soil loss. In this paper, the RUSLE model was applied to simulate the on-site soil erosion rate. With the consideration of the soil retention potential of vegetation cover and topography, a quantitative assessment was conducted on the impacts of soil erosion in the water source region of the middle route for South-to-North Water Transfer Project on rivers and reservoirs by delineating landscape pattern at point (or cell) scale and sub-watershed level. At point (or grid cell) scale, the index of soil erosion impact intensity (I) was developed as an indicator of the potential risk of sediment export to the water bodies. At sub-watershed level, the landscape leakiness index (LI) was employed to indicate the sediment retention capacity of a given landscape pattern. The results revealed that integrating the information of landscape pattern and the indices of soil erosion process could spatially effectively reflect the impact intensity of in situ soil erosion on water bodies. The LI was significantly exponentially correlated to the mean sediment retention capacity of landscape and the mean vegetation coverage of watershed, and the sediment yield at sub-watershed scale was significantly correlated to the LI in an exponential regression. It could be concluded that the approach of delineating landscape pattern based on soil erosion process and the integration of the information of landscape pattern with its soil retention potential could provide a new approach for the risk evaluation of soil erosion.
authors.affiliation: Key Laboratory of Digital Earth Science/Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China. kandyliuyu@126.com
authors.forename: Yu
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Key Laboratory of Digital Earth Science/Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Bing-Fang
authors.initials: BF
authors.lastname: Wu
authors.affiliation: Key Laboratory of Digital Earth Science/Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Zeng
authors.affiliation: Key Laboratory of Digital Earth Science/Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
mesh_terms: D002681:China; D002980:Climate; D003247:Conservation of Natural Resources / Q000706:statistics & numerical data*; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods / Q000706:statistics & numerical data*; D055593:Geological Phenomena; D012987:Soil / Q000737:chemistry*; D014872:Water Movements
chemical_list: D012987:Soil