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锡林郭勒草原荒漠化灾害风险动态评价 被引量:4

Dynamic risk assessment of desertification disaster in Xilingol Grassland
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摘要 利用自然灾害风险指数法、集对分析法、熵组合权重法和格网GIS等方法,构建了锡林郭勒草原荒漠化灾害风险评价指标体系与模型,并对该区1990,2000,2010和2015年的荒漠化灾害风险进行了动态评价与区划.结果表明:研究时段内,研究区荒漠化灾害风险经历了增大-减小-增大的过程,以低风险到中等风险、中等风险到极高风险的转移模式为主;空间上,研究区西部易出现高和极高风险,极高风险等级的重心点由正镶白旗南部迁移至苏尼特左旗中部,从侧面证实了荒漠化灾害风险等级有向西南增高之势,而极低风险等级和低风险等级主要集中在西乌珠穆沁旗,亦说明了东北地区荒漠化灾害风险等级较小. Using natural disaster risk index method,set pair analysis method,entropy combination weight method and grid GIS method,the risk assessment index system and model of desertification disaster in Xilingol Grassland were constructed,and the desertification disaster risk in 1990,2000,2010 and 2015 has been dynamically evaluated and zoned.The results shown that in the study period,the risk of desertification disaster in the study area has experienced a process of increasing,decreasing and increasing,with a low to medium and medium to extremely high-risk transfer model.In space,the western part of the study area is prone to high and extremely high risks.The center of gravity of the extremely high-risk level migrated from the southern part of Zhengxiangbai Banner to the central part of Sonid Left Banner,confirming that the level of desertification disaster risk has increased to the southwest.The extremely low risk level and low risk level are mainly concentrated in the West Ujimqin Banner,which also indicates that the risk level of desertification disasters is small in the northeast.
作者 李雨薇 刘静 银山 包玉海 LI Yu-wei;LIU Jing;YIN Shan;BAO Yu-hai(College of Desert Control Science and Engineering,Inner Mongolia Agricultural University,Hohhot 010011,China;College of Geographical Science,Inner Mongolia Normal University,Hohhot 010022,China;Inner Mongolia Remote Sensing and Information Key Laboratory,Hohhot 010022,China)
出处 《东北师大学报(自然科学版)》 CAS 北大核心 2019年第3期143-151,共9页 Journal of Northeast Normal University(Natural Science Edition)
基金 国家自然科学基金重点资助项目(61631011) 国家重点研发计划项目(2017YFE0109100)
关键词 锡林郭勒草原 灾害风险 荒漠化 集对分析法 Xilingol Grassland disaster risk desertification set pair analysis method
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