芦山地震灾后重建地区土地资源安全评价
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摘要
地震灾后恢复重建的土地资源安全评价是资源环境承载能力评价的基础性工作之一,为灾后恢复重建工作的开展提供科学依据。针对灾后重建地区土地资源安全评价的特殊性,本文以芦山地震灾后重建地区为例,综合考虑地质条件与灾害危险性、水土资源条件、生态环境等3大类要素及8个评价因子,构建了芦山地震灾后重建地区土地资源安全评价模型,并利用GIS空间分析方法对栅格单元和行政单元的土地资源安全进行了评价和分级。结果表明:属于安全类的土地面积为2409.30 km2,占灾区土地总面积的5.63%,主要分布于灾区东部的山前平原区,这类区域应该被视为灾后重建选址的首选区域,较安全类可以作为安全类区域的补充选择,而一般安全类在作为灾后重建选址的备选区域时应做好充分的防护措施;灾区21县中仅有6个县的土地资源安全指数大于0.60,它们均位于灾区东部的山前平原区;在属于极重灾区和重灾区的6县中,只有名山区具有较高的土地资源安全指数(0.76),可重建土地面积为468.33 km2,且其人均可重建土地面积也相对较高,应作为极重灾区和重灾区灾后异地重建进行大规模人口集聚、城市建设和产业发展的首选区域。本研究提出的评价模型适应于具有同类地质灾害的研究区域,也可以为具有相似地质、地形和资源环境条件的区域开展研究提供参考。
The land resources security appraisal of the post- earthquake reconstruction area is one of the fundamental tasks for resource- environment carrying capacity assessment. It could provide scientific reference for post- earthquake reconstruction. This paper takes Lushan earthquake as a case and identifies 3 factor groups including geological conditions and disaster risks, water and land resources conditions, and eco- environment as well as 8 factors. The appraisal model of land resources security in Lushan post- earthquake reconstruction area is constructed, and the land resources security at grid and administrative scales is analyzed with the aid of GIS spatial analysis technique. The results show that: the area of high safe class amounts to 2409.30 km2, accounting for 5.63% of the total land area, and it is mainly distributed on the eastern piedmont plains, which should be regarded as the first choice for reconstruction site selection; the middle safe class could be the supplementary choice of high safe class, and the low safe class needs to be selected for reconstruction with concrete protection measures; only 6 out of 21 counties in the stricken area have the land resource security index above 0.60, and all of them are located on the eastern piedmont plains; in the 6hard- hit counties, only Mingshan has relatively high land resource security index(0.76), with468.33 km2 available land for reconstruction and relatively high available land for reconstruction per capita; Mingshan should be regarded as the preferred region for large-scale population aggregation, urbanization and industrialization development for the relocation settlements of hard- hit areas. The appraisal model developed in this study is applicable to the regions with similar geological disasters, and it could also provide reference for the studies on the regions with similar geological, topographic, resources, and environmental conditions.
引文
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