[1]何维灿,赵尚民,王睿博,等.基于GIS和CSLE的山西省土壤侵蚀风险研究[J].水土保持研究,2016,23(03):58-64.
　HE Weican,ZHAO Shangmin,WANG Ruibo,et al.Research on Soil Erosion Risk Based on GIS and CSLE in Shanxi Province[J].Research of Soil and Water Conservation,2016,23(03):58-64.
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基于GIS和CSLE的山西省土壤侵蚀风险研究

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 23 期数: 2016年03期 页码: 58-64 栏目: 出版日期: 2016-06-28
Title:
Research on Soil Erosion Risk Based on GIS and CSLE in Shanxi Province
作者:
何维灿1,2, 赵尚民1, 王睿博2, 程维明2,3
1. 太原理工大学 矿业工程学院, 太原 030024;
2. 中国科学院 地理科学与资源研究所 资源与环境信息系统国家重点实验室, 北京 100101;
3. 江苏省地理信息资源开发与利用协同创新中心, 南京 210023
Author(s):
HE Weican1,2, ZHAO Shangmin1, WANG Ruibo2, CHENG Weiming2,3
1. College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China;
2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
关键词:
土壤侵蚀; CSLE; GIS; 地理加权回归(GWR); 多级行政单元
Keywords:
soil erosion risk; CSLE(Chinese Soil Loss Equation); GIS; geographically weighted regression; administrative units at multi-levels
分类号:
P208;S157
摘要:
以山西省为研究对象，基于中国土壤流失方程（Chinese Soil Loss Equation）、遥感和GIS空间分析技术，通过合理选择CSLE中各土壤侵蚀因子的数据来源和计算方法，依据《土壤侵蚀分类分级标准》对2000—2010年山西省省市县3级行政体系的土壤侵蚀风险情况进行了分析，并运用地理加权回归分析方法，计算了土壤侵蚀模型中各因子对侵蚀量的贡献率。结果表明：（1）山西省年均土壤侵蚀总量达3.58×108t，平均土壤侵蚀模数为2 287 t/（km2·a）。若以土壤侵蚀强度高于微度为侵蚀风险地区，则山西省存在水土流失风险的地区约占全省面积的48%；（2）11个地级市中，轻度侵蚀城市依次为长治、晋中、晋城、太原、大同、运城和朔州，中度侵蚀依次为吕梁、临汾、阳泉和忻州。106个县级行政区中，微度侵蚀的县有14个，轻度侵蚀的县有61个，中度侵蚀的县有27个，强度侵蚀的县有4个；（3）地形因子对水力侵蚀引起的土壤侵蚀模数具有最高的贡献率，而因子取得最值的位置并不与贡献率最值的位置相一致。
Abstract:
We selected the Shanxi Province as the research region. Based on the Chinese Soil Loss Equation(CSLE), remote sensing and GIS spatial analysis technology, the each soil erosion factor in CSLE model was calculated through reasonable data sources and computing methods. Then, the erosion risk distribution characteristics of administrative units at multi-levels in Shanxi Province were assessed according to the classification criteria of soil erosion intensities (SL190—2007) in the period from 2000 to 2010. To determine the regression coefficients of the erosion factors in relation to erosion modules, GWR (Geographically Weighted Regression) was carried out. The results showed that: (1) the average annual amount of soil erosion in Shanxi Province from was about 3.58×108t, the average erosion modules was 2 287 t/(km2·a). About 48% of the total area was found to present an erosion risk area if a surface erosion grade higher than tolerable was assumed to be equivalent to erosion risk; (2) among the 11 prefecture-level cities, medium erosion was observed in Lüliang City, Linfen City, Yangquan City and Xinzhou City, and slightly erosion was found in Changzhi City, Jinzhong City, Jincheng City, Taiyuan City, Datong City, Yuncheng City, the 106 counties of Shanxi Province can be classified as tolerable erosion, slightly erosion, medium erosion and strong erosion.There are 14 counties with tolerable erosion, 61 counties with slightly erosion, 27 counties with medium erosion and 4 counties with strong erosion; (3) it is found that the topographic factor has the highest contribution rate to the soil erosion modules, while the highest contribution rates of the erosion factors to the erosion modules and the largest values of the factors are not located in the same place.

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备注/Memo

收稿日期:2015-10-27;改回日期:2015-12-07。
基金项目:水科院山洪灾害项目（SHZH-IWHR-57）；科技基础性专项（2011FY110400-2）；测绘地理信息公益性行业科研专项（201512033）；国家自然科学面上基金（41301469，41171332）
作者简介:何维灿(1992-),男,广西玉林人,硕士研究生,研究方向为遥感与GIS空间数据分析。E-mail:hewc@lreis.ac.cn
通讯作者:赵尚民(1982-),男,河南洛阳人,博士,讲师,主要从事黄土高原数字地形地貌研究。E-mail:zhaoshangmin@tyut.edu.cn

更新日期/Last Update: 1900-01-01