程琳琳, 张宁凌, 崔慧珍, 尹玉亮, 孙海元. 服务于产业转型的矿业废弃地再利用优化与调控[J]. 农业工程学报, 2022, 38(23): 203-212. DOI: 10.11975/j.issn.1002-6819.2022.23.022
    引用本文: 程琳琳, 张宁凌, 崔慧珍, 尹玉亮, 孙海元. 服务于产业转型的矿业废弃地再利用优化与调控[J]. 农业工程学报, 2022, 38(23): 203-212. DOI: 10.11975/j.issn.1002-6819.2022.23.022
    Cheng Linlin, Zhang Ningling, Cui Huizhen, Yin Yuliang, Sun Haiyuan. Optimization and regulation of the abandoned mining land reuse for industrial transformation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(23): 203-212. DOI: 10.11975/j.issn.1002-6819.2022.23.022
    Citation: Cheng Linlin, Zhang Ningling, Cui Huizhen, Yin Yuliang, Sun Haiyuan. Optimization and regulation of the abandoned mining land reuse for industrial transformation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(23): 203-212. DOI: 10.11975/j.issn.1002-6819.2022.23.022

    服务于产业转型的矿业废弃地再利用优化与调控

    Optimization and regulation of the abandoned mining land reuse for industrial transformation

    • 摘要: 矿业废弃地的优化再利用对资源型城镇转型所需的各项建设拓展空间具有重要的现实意义。该研究以北京市门头沟区为例,集成3S技术与实地调研,分析其矿业废弃地再利用的状况及时空变化,采用面向地理过程动态环境模型(Environment for Geoprocessing Objects, Dinamica EGO)模拟趋势发展情景下的矿业废弃地再利用格局;基于门头沟区"首都生态涵养发展区"的功能定位,耦合主成分分析与BP神经网络方法对矿业废弃地再利用为生态农业、生态旅游业、高新技术产业的适宜性进行评价;依据适宜性评价结果及产业转型的用地需求设置土地转换规则,结合生态位线性规划模型及约束条件对其进行数量结构优化,采用Dinamica EGO模型对服务于产业转型的矿业废弃地再利用空间格局进行优化;对比优化格局和趋势发展格局,进行调控。结果表明:1)2006-2018年门头沟区共323.30 hm2的矿业废弃地得到再利用,西部各镇的矿业废弃地主要再利用为林地、耕地和果园,东部各镇的矿业废弃地主要再利用为林地、公园、住宅用地和高新技术产业用地;2)趋势发展情景格局中,再利用为生态农业用地的矿业废弃地分布于妙峰山镇和潭柘寺镇等,再利用为生态旅游业的矿业废弃地多分布在大台街道、王平镇等,再利用为高新产业用地的矿业废弃地多分布在大台街道和军庄镇等;服务于产业转型的矿业废弃地再利用优化格局中,再利用为生态农业的矿业废弃地面积为251.75 hm2,主要集中在军庄镇、王平镇等,再利用为生态旅游业的面积为64.25 hm2,主要分布在妙峰山镇、清水镇等,再利用为高新技术产业的面积为84.25 hm2,主要分布在王平镇和妙峰山镇;3)两情景下有108.5 hm2的矿业废弃地再利用用途一致,无需调整。约有63.75 hm2的矿业废弃地在趋势发展情景下被再利用为生态旅游用地,应调整为生态农业用地,约有61 hm2的矿业废弃地在趋势发展情景下再利用为生态农业用地,应调整为生态旅游业用地;妙峰山镇、王平镇、永定镇约12.5 hm2的矿业废弃地结合当地基础设施,调整发展为高新技术产业用地。研究成果可为当地矿业废弃地再利用的调控提供理论支持。

       

      Abstract: The optimal reuse of abandoned mining land is of great practical significance to construct and expand the space that required by the transformation of resource-based towns in China. Taking Mentougou District of Beijing as an example, the 3S technology and field research were integrated to analyze the type, area, distribution, reuse status, as well as the temporal and spatial changes of abandoned mining land. A dynamic environment model of geographical process (Dinamica EGO) was used to simulate the reuse pattern of abandoned mining land under the trend development scenario. The appropriateness of abandoned mining land was evaluated to reuse for the ecological agriculture, ecological tourism, and high-tech industry under the functional positioning of "Capital ecological conservation development area" of Mentougou District using principal component analysis and BP neural network. According to the suitability evaluation and the land needs of industrial transformation, the land conversion rules were established to optimize the quantitative structure using the linear niche programming model and constraint conditions. Dinamica EGO model was then used to optimize the spatial pattern of the abandoned mining land that reused for the industrial transformation. Regulation was conducted to compare the optimization pattern with the trend development. The results showed were as follows: 1) A total of 323.30 hm2 of abandoned mining land was reused in the study area from 2006 to 2018. The abandoned mining land in the western towns was mainly reused as the woodland, cultivated land and orchards, while the abandoned mining land in eastern towns was mainly reused as the woodland, park, residential, and high-tech industrial land. 2) In the trend development scenario pattern, the abandoned mining land reused as ecological agricultural land was mainly distributed in Miaofengshan and Tanzhesi Town, the ecological tourism industry was mainly distributed in Datai Street and Wangping Town, and the high-tech industrial land was in Datai Street and Junzhuang Town. In the optimized pattern of abandoned mining land reuse for the industrial transformation, the area of abandoned mining land reused as the ecological agriculture was 251.75 hm2, mainly concentrated in Junzhuang, and Wangping Town, the reused area of the ecotourism was 64.25 hm2 in Miaofengshan, and Qingshui Town, and the area as the high-tech industry was 84.25 hm2 in Wangping and Miaofengshan Town. 3) In the two scenarios, about 108.5 hm2 of abandoned mining land was reused for the same purpose, indicating no adjustment to need. About 63.75 hm2 of abandoned mining land was reused as the ecological tourism land under the trend development scenario, which should be adjusted to the ecological agriculture land. By contrast, the ecological agriculture land was about 61 hm2 of abandoned mining land under the trend development scenario, which should be adjusted to the ecological tourism land. There was the 12.5 hm2 abandoned mining land should be developed into the high-tech industrial land in the Miaofeng Mountain, Wangping, and Yongding Town, according to the local infrastructure. Consequently, the direct and substantial combination were realized for the reuse of abandoned mine land and the demand for the industrial transformation of mineral resource-based towns. The findings can provide the theoretical support for the reuse and regulation of local abandoned mine land.

       

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