Restoration priority assessment of coal mining brownfields from the perspective of enhancing the connectivity of green infrastructure networks.
Restoration priority assessment of coal mining brownfields from the perspective of enhancing the connectivity of green infrastructure networks.
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DOI：
10.1016/j.jenvman.2020.111289
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发表时间：
2020-10
影响因子：
8.7
通讯作者：
W. Hou;L. Zhai;S. Feng;U. Walz
中科院分区：
文献类型：
--
作者：
W. Hou;L. Zhai;S. Feng;U. Walz
将采矿棕地纳入绿色基础设施（GI）规划已被广泛认为是一项可持续发展战略。关键是找到棕地恢复的空间优先区域，这将最大限度地增强地理标志网络的多功能性。在区域范围内，连接良好的地理标志网络有助于最大限度地发挥其产生的效益并实现更大的多功能性。本文从增强GI网络结构连通性的角度提出了棕地恢复优先级评估方法。它还可以用作区域级地理标志网络规划的辅助工具。采用最小成本路径（LCP）模型在考虑土地覆盖自然性、河岸廊道和道路扰动组成的阻力图的基础上绘制地理标志斑块之间的廊道。以汾河流域为例，棕地恢复优先评估综合考虑三个因素：作为走廊的潜在贡献、作为垫脚石的重要性以及其阻力值。然后，我们将棕地分为几组，表明恢复的优先级。结果显示，67%的棕地属于高或非常高优先级恢复（主要位于北部），不到10%的面积被认为是非常低或低优先级。我们提出的方法可能是一个有价值的工具，可以对棕地的恢复优先事项进行宏观评估，以增强地理标志网络的连通性，并为现场重建提供指导。
Integration of mining brownfields into green infrastructure(GI) planning has been widely recognized as a sustainable developmentstrategy. The key is to locate the spatial priority areas for brownfieldrestoration that would provide the greatest enhancement of themultifunctionality of the GI network. At the regional scale, a wellconnectedGI network can help maximize the benefits that it generates andachieve greater multifunctionality. In this paper, an approach forassessing the restoration priority of brownfields is proposed from the perspective of enhancing the structural connectivity of GI network. Itcan also be used as an assistance tool for planning GI networks at theregional level. The Least Cost Path (LCP) model is adopted for mapping corridors among GI patches on the basis of a resistance map composed by considering the naturalness of land covers, the riparian corridor, and disturbance of roads. Taking Fenhe River Basin (in China) as an example, three factors are jointly considered in the priority assessment of brownfields restoration: their potential contribution as corridors, their importance as stepping stones, and their resistance values. Then, we divided the brownfields into groups indicating the level of priority for restoration. The results show that 67% of the brownfields are of high or very high priority for restoration (mainly located in the north), and less than 10% area is recognized as very low or low priority. Our proposed approach could be a valuable tool for providing a macro-scale assessment of restoration priorities of brownfields for enhancing the GI network connectivity, and giving instructions for on-site redevelopment.