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| 采煤塌陷区景观格局演变的驱动力分析 |
| Analysis of the driving forces of the landscape pattern evolution in a coal-mining subsided area |
| 投稿时间：2019-05-06 |
| DOI：10.13254/j.jare.2019.0238 |
| 中文关键词: 采煤塌陷区，土地利用变化，驱动力，Logistic回归模型，CLUE-S模型 |
| 英文关键词: coal-mining subsided area, land use change, driving factors, logistic regression model, CLUE-S model |
| 基金项目:国家自然科学基金面上项目（41771324） |
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| 摘要点击次数: 1946 |
| 全文下载次数: 2814 |
| 中文摘要: |
| 为探究采煤塌陷区景观格局演变的驱动机制，以山东省微山县地面塌陷较严重的11个乡镇作为研究区，基于遥感影像解译结果，分析研究区2000-2016年土地利用变化特征，在此基础上，选取自然、社会经济等多个驱动因子，运用CLUE-S模型及二元Logistic逐步回归模型，进行研究区各土地利用类型与驱动因子间的相互关系及驱动机制研究。结果表明：耕地在整个研究期呈减少、增加、减少的趋势，城乡建设用地、塌陷积水区2000-2005年面积增幅最大；距居民点的距离是影响耕地、城乡建设用地及水域变化的最主要驱动因子，距工矿的距离是影响塌陷积水区变化的最主要驱动因子。研究结果可为当地政府制定科学合理的土地整治、保护等相关政策提供理论依据。 |
| 英文摘要: |
| To explore the driving mechanism of landscape pattern evolution in a coal mining subsided area, this study considered 11 towns with severe ground subsidence in the Weishan County, Shandong Province as the research area. Based on the interpretation of remote sensing images, the characteristics of land use change in the study area from 2000 to 2016 were analyzed. On this basis, environmental, socioeconomic, and other driving factors were selected. The CLUE-S model and binary logistic stepwise regression model were used to study the correlation and driving mechanisms between land use types and the driving factors. The conclusions were as follows. The cultivated land area showed a decreasing, increasing, and decreasing trend. Urban and rural construction land and subsided seeper area increased the most from 2000 to 2005. Among the driving factors for the change on cultivated land, urban and rural construction land, and water areas, the distance from residential areas was the main driving factor. Among the driving factors affecting subsided seeper areas, the distance from industrial and mining areas was the main one. This research provides a theoretical basis for the local government to scientifically formulate land consolidation and protection policies. |
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