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Optimization of Land Reuse Structure in Coal Mining Subsided Areas Considering Regional Economic Development: A Case Study in Pei County, China

Author

Listed:
  • Zhen Li

    (College of Land Science and Technology, China Agricultural University, Key Laboratory of Agricultural Land Quality, Ministry of Natural Resources, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture and Rural Affairs, Beijing 100193, China)

  • Songlin Wu

    (Centre for Mined Land Rehabilitation, Sustainable Minerals Institute, The University of Queensland, Brisbane 4067, Australia)

  • Shiwen Zhang

    (College of Earth and Environmental Sciences, Anhui University of Science and Technology, Huainan 232001, China)

  • Chaojia Nie

    (College of Earth and Environmental Sciences, Anhui University of Science and Technology, Huainan 232001, China)

  • Yong Li

    (College of Land Science and Technology, China Agricultural University, Key Laboratory of Agricultural Land Quality, Ministry of Natural Resources, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture and Rural Affairs, Beijing 100193, China)

  • Yuanfang Huang

    (College of Land Science and Technology, China Agricultural University, Key Laboratory of Agricultural Land Quality, Ministry of Natural Resources, Key Laboratory of Arable Land Conservation (North China), Ministry of Agriculture and Rural Affairs, Beijing 100193, China)

Abstract

Land subsidence, which has caused large-scale settlement loss and farmland degradation, was regarded as the main constraint for land reclamation in the High Groundwater Coal Basins (HGCBs) in the eastern China plain. Both coal mining and agricultural production are important for regional development in this area. In general, the land reclamation direction in this area is greatly affected by the adequacy of filling materials and the land use demand of regional economic development. Taking seven coal mining subsided areas in Pei county, located in the eastern China plain, for example, this study proposed an integrated model (including the Limit Condition model, Logistic Regression model, Grey Linear Programming model and the conversion of land use and its effects at small regional extent (CLUE-S) model) to simulate and optimize the post-mining land use structure to meet the economic development needs of Pei county. Then, the post-mining land use structure under different scenarios, which were set based on the subsidence depth, were compared to explore the optimal collapse depth for separating the damaged land into the filling area and non-filling area. The landscape structure, ecological benefits, engineering quantity and reclaimed farmland area were used to compare the reclaimed land use structure of different scenarios. The results showed that the integrated model could efficiently simulate the reclaimed land use structure to meet the land demand for regional development. The optimal collapse depth for separating the damaged area into the filling area and non-filling area was 2.6 m. Currently, the reclaimed land use structure not only needs a low quantity of filling material, but also obtains a good landscape structure and elevated ecosystem services value. Furthermore, the reclaimed urban land was mainly distributed around Pei town, and the reclaimed farmland was mostly distributed in the area between Pei town and Weishan lake, which were consistent with the pattern of urbanization. The study provides valuable information for future land use plans for Pei county and will contribute to the methods of post-mining land reclamation in other HGCBs.

Suggested Citation

  • Zhen Li & Songlin Wu & Shiwen Zhang & Chaojia Nie & Yong Li & Yuanfang Huang, 2020. "Optimization of Land Reuse Structure in Coal Mining Subsided Areas Considering Regional Economic Development: A Case Study in Pei County, China," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3335-:d:347859
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    References listed on IDEAS

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    1. Yang, Xin & Zheng, Xin-Qi & Lv, Li-Na, 2012. "A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata," Ecological Modelling, Elsevier, vol. 233(C), pages 11-19.
    2. Liu, Xiaoping & Ou, Jinpei & Li, Xia & Ai, Bin, 2013. "Combining system dynamics and hybrid particle swarm optimization for land use allocation," Ecological Modelling, Elsevier, vol. 257(C), pages 11-24.
    3. Lima, Ana T. & Mitchell, Kristen & O’Connell, David W. & Verhoeven, Jos & Van Cappellen, Philippe, 2016. "The legacy of surface mining: Remediation, restoration, reclamation and rehabilitation," Environmental Science & Policy, Elsevier, vol. 66(C), pages 227-233.
    4. Zhang, Biao & Li, Wenhua & Xie, Gaodi, 2010. "Ecosystem services research in China: Progress and perspective," Ecological Economics, Elsevier, vol. 69(7), pages 1389-1395, May.
    5. Jiang, Weiguo & Deng, Yue & Tang, Zhenghong & Lei, Xuan & Chen, Zheng, 2017. "Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models," Ecological Modelling, Elsevier, vol. 345(C), pages 30-40.
    6. Xiao, Wu & Fu, Yanhua & Wang, Tao & Lv, Xuejiao, 2018. "Effects of land use transitions due to underground coal mining on ecosystem services in high groundwater table areas: A case study in the Yanzhou coalfield," Land Use Policy, Elsevier, vol. 71(C), pages 213-221.
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    2. Xiangyu Min & Zhoubin Dong & Huaizhi Bo & Guodong Zheng & Qian Li & Xiaoyan Chang & Xinju Li, 2022. "Alternative Soil Substrates Addition Cause Deterioration in Reclaimed Soil Macropore Networks at Eastern Mining Area, China," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    3. Izabela Jonek-Kowalska & Marian Turek, 2022. "The Economic Situation of Polish Cities in Post-Mining Regions. Long-Term Analysis on the Example of the Upper Silesian Coal Basin," Energies, MDPI, vol. 15(9), pages 1-21, April.

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