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1Spatial structure optimization of mountainous abandoned mine land reuse based on system dynamics model and CLUE-S model显示文摘The mountainous abandoned mine land is often distributed in the fomi of fragmented patches. Therefore, it can greatly promote the reuse value of abandoned mine land and relieve the pressure of land demand to realize the rational reuse of abandoned mine land based on the future land use structure and spatial layout of mountainous area. In this paper, optimization of the spatial structure of mountainous abandoned mine land reuse is realized through the system dynamics model and CLUE-S model. Mentougou district, Beijing, China is selected as the research area. System dynamics model with feedback functions is constructed to simulate land use structure from 2011 to 2025, which is taken as the quanfiiative constraint on spatial structure optimization. CLUE-S model with neighborhood analysis function is applied to simulate future land use spatial structure. The simulation result layer is superimposed with the abandoned mine land distribution layer and the optimized spatial structure of abandoned mine land reuse then is determined, checked by reuse suitability evaluation. The result shows that abandoned mine land can be fully optimized as other land use types according to demand, and the reuse directions are water conservancy facilities land, urban land, rural residential land, tourism land, garden land, woodland and grassland. The trend of abandoned mine land reuse tend to be consistent with land use types of neighboring patches. This study can provide theoretical reference for the practices of mountainous abandoned mine land reuse.Linlin Cheng Haiyuan Sun Ye Zhang Shaofeng Zhen 2019International Journal of Coal Science & Technology2019,6,1:5
2济南市长清区2011—2020年土地利用变化时空分异特征及其成因显示文摘研究城市土地利用时空变化特征及驱动因素对城市促进合理利用土地资源、生态—社会—经济可持续发展具有重要意义。本研究运用ArcGIS定量提取土地利用数据,建立土地利用变化幅度模型和土地利用变化程度模型,分析长清区2011—2020年土地利用时空变化特征;选取8个社会经济驱动因子,利用皮尔逊相关系数法研究土地利用变化的社会经济驱动机制。结果表明,2017年后长清区土地利用处于调整阶段,应优化土地利用规划,提升土地利用社会—经济—生态综合效益。李云鹏 梁勇 吴凯 王长鹏 齐俊 2023山东国土资源2023,39,7:1
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