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机构地区:[1]武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079 [2]西南大学地理科学学院,重庆市天生路2号400715 [3]民政部国家减灾中心,北京市广百东路6号100124 [4]江西师范大学鄱阳湖湿地与流域研究教育部重点实验室,南昌市紫阳大道99号330022
出 处:《武汉大学学报(信息科学版)》2012年第6期750-755,共6页Geomatics and Information Science of Wuhan University
基 金:国家973计划资助项目(2009CB723905);国家自然基金委创新研究群体科学基金资助项目(41021061);国家水利部水专项资助项目(201001054);国家自然科学基金资助项目(41071261);西南大学青年基金资助项目(20700404)
摘 要:以遥感影像、基础地理信息数据与统计年鉴为数据源,在GIS技术支持下,选择15个评价指标建立了鄱阳湖生态经济区的土壤侵蚀脆弱性指数模型,并揭示了脆弱性的空间分布规律。结果表明,研究区的土壤侵蚀脆弱性以中度和高度脆弱为主,呈现明显的空间分异特征。土壤侵蚀脆弱性与土壤侵蚀现状在空间分布上存在明显不同。从土壤侵蚀驱动力、敏感度与响应能力这3个要素出发探讨了脆弱性空间分布形成的机制。Taking remote sensing images, tistical data as data sources, 15 indicators fundamental geographic information data and sta were selected to construct a composite vulnerabili ty index for assessing vulnerability to soil erosion of Poyang Lake ecological economic zone. A profile of the spatial distribution of vulnerability to soil erosion in this region shows that there is a spatial differentiation of vulnerability and the ranks of vulnerability of assessing u- nits cluster in the middle and the high. The middle vulnerable units are located in the south- east and high vulnerable units are in the northeast lakeside of Poyang Lake. There is an obvi- ously differentiation in spatial distribution between the soil erosion vulnerability and soil ero- sion status. We additionally analyzed the formation of soil erosion vulnerability from driving forces, sensitivity and response capability jointly by which vulnerability is determined .
分 类 号:P208[天文地球—地图制图学与地理信息工程] P273[天文地球—测绘科学与技术]
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