基于区域背景——斑块状态的矿业城市资源型生态关键地段识别

发布时间：2018-04-01 16:15

本文选题：生态关键地段　切入点：矿业城市　出处：《工业安全与环保》2017年11期

【摘要】：资源型生态关键地段对于维护和控制区域生态系统安全具有重要意义,对矿业城市资源型生态关键地段进行识别是量化矿业城市生态风险、保障生态可持续发展的有效途径。构建区域背景与斑块状态相结合的识别体系,从宏观上对次级行政区区域背景进行生态关键度分级;通过计算斑块的矿业活动指数、斑块生态脆弱度和生态损失度,从微观上反映斑块的生态关键度。应用Arc GIS空间叠加分析功能,将大冶市资源型关键地段分为原生型、损益型和扰动型,分别占总面积的36.83%,19.45%,43.72%。结果表明,基于BSM的资源型关键地段识别是分析区域生态现状的有效方法,对矿业城市生态环境治理和生态用地规划具有重要参考价值。
[Abstract]:Resource-based ecological key areas are of great significance for maintaining and controlling regional ecosystem safety. Identification of resource-based ecological key areas in mining cities is an effective way to quantify ecological risks and ensure ecological sustainable development in mining cities.The recognition system of regional background and patch state is constructed, and ecological criticality classification of sub-administrative region regional background is carried out macroscopically, and by calculating the mining activity index of patch, the ecological vulnerability and ecological loss of patch, the ecological vulnerability of patch and ecological loss degree are calculated.The ecological critical degree of patch was reflected microscopically.By using the spatial superposition analysis function of Arc GIS, the key areas of the resource type in Daye City are divided into primary type, profit and loss type and disturbance type, accounting for 36.83319.45% of the total area, respectively, and 43.72% of the total area.The results show that the identification of the key areas based on BSM is an effective method to analyze the regional ecological status and has important reference value for the ecological environment management and ecological land planning of mining cities.
【作者单位】：武汉科技大学资源与环境工程学院;冶金矿产资源高效利用与造块湖北省重点实验室;
【基金】：国家自然科学基金(41201600) 湖北省教育厅重点项目(D20131104)
【分类号】：TD167;X321

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