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基于RUSLE的引黄入晋北干线沿线地区土壤侵蚀定量研究
引用本文:郭子萍,王乃昂,屈志勇.基于RUSLE的引黄入晋北干线沿线地区土壤侵蚀定量研究[J].水土保持通报,2018,38(3):180-186,192.
作者姓名:郭子萍  王乃昂  屈志勇
作者单位:兰州大学资源环境学院/干旱区与沙漠研究中心;山西省气象信息中心
基金项目:兰州大学中央高校基本科研业务费专项资金(lzujbky-2016-267)
摘    要:目的]分析引黄入晋北干线沿线地区土壤侵蚀时空分布特征及其主控因子,为当地水土保持和生态环境建设提供科学的理论依据。方法]以引黄入晋北干线沿线地区为研究区,基于GIS和RS技术,利用2005,2010,2015年3期Landsat遥感影像,DEM,LUCC,月降水资料,计算土壤侵蚀模数,并分析研究区土壤侵蚀强度的时空变化特征及与主控因子间的关系。结果]2005,2015年为轻度侵蚀,2010年为中度侵蚀,从2005—2010年土壤侵蚀模数增长80.91%,2010—2015年土壤侵蚀模数降低47.87%,呈先增后减,总体减小的趋势;以北干线为界,界线两侧土壤侵蚀差异显著,朔州市辖区的土壤侵蚀面积和土壤侵蚀量最大。R因子与土壤侵蚀呈正相关,当土壤类型为栗褐土,坡度为8°~15°,土地利用类型为耕地时土壤侵蚀面积最大,当坡度大于25°,土地利用类型为草地和林地时土壤侵蚀量最高。结论]引黄入晋北干线的施工加剧了沿线地区土壤侵蚀,降雨、土壤类型、坡度、土地利用类型作为主控因子与该地的土壤侵蚀分布联系紧密。因此应确定水土保持重点区域,有针对性地制定水土流失防治措施,改善生态环境。

关 键 词:引黄入晋北干线  RS/GIS  RUSLE  土壤侵蚀模数  时空分布特征
收稿时间:2017/11/7 0:00:00
修稿时间:2017/12/12 0:00:00

Quantitative Study on Soil Erosion Along Area of North Main Line of Drawing Water From Yellow River to Shanxi Province Based on RUSLE
GUO Ziping,WANG Naiang and QU Zhiyong.Quantitative Study on Soil Erosion Along Area of North Main Line of Drawing Water From Yellow River to Shanxi Province Based on RUSLE[J].Bulletin of Soil and Water Conservation,2018,38(3):180-186,192.
Authors:GUO Ziping  WANG Naiang and QU Zhiyong
Institution:College of Earth and Environmental Sciences/Research Center for Arid Area and Desert, Lanzhou University, Lanzhou, Gansu 730000, China,College of Earth and Environmental Sciences/Research Center for Arid Area and Desert, Lanzhou University, Lanzhou, Gansu 730000, China and Meteorological Information Center of Shanxi Province, Taiyuan, Gansu 030000, China
Abstract:Objective] This study investigated the spatial and temporal variations of soil erosion and its causes in a stretch of north main line of drawing water from the Yellow River to Shanxi Province in order to provide basis for ecological management and soil erosion control.Methods] Using LUCC, digital elevation model(DEM) and Landsat TM4-5 imagery, coupled with monthly precipitation data from 2005, 2010 and 2015, the temporal and spatial characteristics of soil erosion intensity were derived.Results] Soil erosion in the year of 2005 and 2015 was slight, but moderate in the year of 2010. From 2005 to 2010, soil erosion increased by 80.91%, followed by a decrease of 47.87% from 2010 to 2015. Taking the north main line as the boundary, the differences of soil erosion on both sides of the boundary was significant. The most severe soil erosion occurred near to Shuozhou City. R factor was positively correlated with soil erosion. The largest erosion area occurred when the soil type was chestnut soil, slope was 8°~15°, and land use type was cultivated land. Most serious erosion occurred in forestland and grassland with slope more than 25°.Conclusion] The construction of the water diversion project has exacerbated soil erosion along the reach. Main controlling factors such as rainfall, soil type, slope, and land use type are closely related to the soil erosion distribution in the study area. Therefore, priority areas of water and soil conservation should be determined, and regulations should be made to prevent soil erosion and to protect local environment.
Keywords:north main line of drawing water from the Yellow River to Shanxi Province  RS/GIS  RUSLE  soil erosion modulus  temporal and spatial distribution characteristics
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