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废弃工矿区生态修复潜力分析——以水口山镇为例
引用本文:周敏,,,齐增湘,,,吕婧玮,,,刘鑫,.废弃工矿区生态修复潜力分析——以水口山镇为例[J].西北林学院学报,2021,36(4):273-281.
作者姓名:周敏      齐增湘      吕婧玮      刘鑫  
作者单位:(1.南华大学 建筑学院,湖南 衡阳 421001;2.湖南省健康城市营造工程技术研究中心,湖南 衡阳 421001;3.衡阳市科技局 生态型区域/城市规划与管理重点实验室,湖南 衡阳 421001)
摘    要:废弃矿区及工业生产基地是城镇发展中遗留的历史问题,影响着城市空间发展格局,同时也是城市生态用地建设的后备资源。以水口山镇为例,识别城市空间和生态用地两者扩张源地,以土壤重金属综合污染指数、土地类型等9个因子构建阻力面,模拟城市空间与生态源地的水平竞合过程,分析工矿区发展为生态用地的潜力,确定生态修复的优先级分区。结果表明:1)城市与生态空间扩张源地的面积为355.95 hm2和3 880 hm2,分别占总面积的4.13%和45.02%;2)城市空间和生态源地竞合的差值-24 883.7~3 313.76,并呈现出城市中心区向四周减少的趋势,其高值区分布在北部志辉冶炼厂区,低值区集中在南部裸露矿区;3)工矿区可修复的生态用地面积为333.09 hm2,主要分布在金铜冶炼项目等集中的工业园区、康家湾矿区、水口山金属有色公司和部分裸露的采矿区以及尾矿填埋区,且距北部冶炼厂越近的工矿区,其生态修复优先性越高;4)对工矿区内4个优先级区提出治水、治土、植被恢复等不同治理措施与规划策略。研究结果为规划设计以及修复项目在空间尺度上落地和科学治理提供客观依据。

关 键 词:最小累积阻力模型  工矿区  生态修复  优先级

 Ecological Restoration Potential of Abandoned Industrial and Mining Areas——A Case Study of Shuikoushan Township
ZHOU Min,,' target="_blank" rel="external">,QI Zeng-Xiang,,' target="_blank" rel="external">,L Jing-Wei,,' target="_blank" rel="external">,LIU Xin,' target="_blank" rel="external">. Ecological Restoration Potential of Abandoned Industrial and Mining Areas——A Case Study of Shuikoushan Township[J].Journal of Northwest Forestry University,2021,36(4):273-281.
Authors:ZHOU Min    " target="_blank">' target="_blank" rel="external">  QI Zeng-Xiang    " target="_blank">' target="_blank" rel="external">  L Jing-Wei    " target="_blank">' target="_blank" rel="external">  LIU Xin  " target="_blank">' target="_blank" rel="external">
Institution:(1.School of Architecture,University of South China,Hengyang 421001,Hunan,China;2.Hunan Healthy City Construction Engineering Technology Research Center,Hengyang 421001,Hunan,China;3.Key Laboratory of Ecological Region-Urban Planning and Management of Hengyang Science and Technology Department,Hengyang 421001,Hunan,China)
Abstract:Abandoned mining areas and industrial production bases are the historical problems left over in the urban development,which affect the urban spatial development pattern.On the other hand,these abandoned areas can be taken as the reserve resources for urban ecological land construction.Taking Shuikoushan Township as an example,expansion sources of the urban space and ecological land were identified,meanwhile resistance surface based on nine factors (such as soil heavy metal pollution index and land type,for example) was constructed and the horizontal competition and cooperation process between urban space and ecological source was simulated to analyze the potential of converting industrial and mining areas into ecological land,and to determine the priority division of ecological restoration.The results showed that 1) the areas of urban and ecological space expansion sources were 355.95 hm2 and 3 880 hm2,respectively,accounting for 4.13% and 45.02% of the total area.2) The difference value of horizontal competition and cooperation process between urban space and ecological source ranged from 24 883.7-3 313.76 and presented a reduction tendency from the central district to all directions.The high value area distributed in the Zhihui Smelting Factory,which was located in northern part of the township.The low value area concentrated in southern bare mining area.3) The recoverable ecological land area in the industrial and mining area was 333.09 hm2,which were mainly located in industrial parks of gold and copper smelting projects such as Kangjiawan mining area,Shuikoushan Metal Nonferrous Company,partially exposed mining areas and tailings landfill areas,and the closer to the industrial and mining area of the northern smelter,the higher priority of ecological restoration.4) Different treatment measures and planning strategies such as water control,soil control and vegetation restoration in the 4 priority areas of the industrial and mining areas were proposed.The research results provide an objective basis for implementation of planning,designing the restoration projects in spatial scale and scientific governance.
Keywords:minimum cumulative resistance model  industrial and mining area  ecological restoration  priority
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