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Regional Land Eco-Security Evaluation for the Mining City of Daye in China Using the GIS-Based Grey TOPSIS Method

Author

Listed:
  • Xinchang Zhang

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Min Chen

    (Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China)

  • Kai Guo

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Yang Liu

    (Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China)

  • Yi Liu

    (School of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Weinan Cai

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Hua Wu

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Zeyi Chen

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Yiyun Chen

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Jianguo Zhang

    (Hunan Botong Information Co., Ltd, Changsha 410021, China)

Abstract

Regional ecological security assessment is a significant methodology for environmental protection, land utilisation, and human development. This study aims to reveal the regional constraints of ecological resources to overcome the difficulties and complexities in quantification of current models used in land ecosystems. For this purpose, the technique for order preference by similarity to an ideal solution (TOPSIS) was linked to a grey relational analysis and integrated with a geographic information system. The obtained method was used to construct a land eco-security evaluation on a regional scale for application in a traditional mining city, Daye, in central China. Parameter analysis was introduced to the method to produce a more realistic spatial distribution of eco-security. Subsequently, based on the pressure–state–response framework, the eco-security index was calculated, and the carrying capacity of land resources and population for each sub-region were analysed. The results showed that: (i) very insecure and insecure classes comprised 5.65% and 18.2% of the total area, respectively, highlighting the vulnerable eco-environmental situation; (ii) moderate secure classes areas comprised a large amount of arable land, spanning an area of 494.5 km 2 ; (iii) secure areas were distributed in the northwest, containing mostly water and wetland areas and accounting for 426.3 km 2 ; and (iv) very secure areas were located on the southeastern region, involving traditional woodland with a better vegetation cover and an overall higher eco-environmental quality. In addition, for each sub-region, the extremely low and low ecological security areas were mainly arable and urban lands, which amounted to 305 and 190 km 2 , respectively. Under the current ecological constraints, sub-region 1 cannot continue supporting the population size in Daye City. The present results demonstrate the accuracy of our methodology, and our method may be used by local managers to make effective decisions for regional environment protection and sustainable use of land resources.

Suggested Citation

  • Xinchang Zhang & Min Chen & Kai Guo & Yang Liu & Yi Liu & Weinan Cai & Hua Wu & Zeyi Chen & Yiyun Chen & Jianguo Zhang, 2021. "Regional Land Eco-Security Evaluation for the Mining City of Daye in China Using the GIS-Based Grey TOPSIS Method," Land, MDPI, vol. 10(2), pages 1-18, January.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:118-:d:487322
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    Cited by:

    1. Chenyang Wu & Yichen Zhang & Jiquan Zhang & Yanan Chen & Chenyu Duan & Jiawei Qi & Zhongshuai Cheng & Zengkai Pan, 2022. "Comprehensive Evaluation of the Eco-Geological Environment in the Concentrated Mining Area of Mineral Resources," Sustainability, MDPI, vol. 14(11), pages 1-19, June.
    2. Lindan Zhang & Wenfu Peng & Ji Zhang, 2023. "Assessment of Land Ecological Security from 2000 to 2020 in the Chengdu Plain Region of China," Land, MDPI, vol. 12(7), pages 1-28, July.
    3. Qingfu Li & Huade Zhou & Qiang Ma & Linfang Lu, 2021. "Evaluation of Serviceability of Canal Lining Based on AHP–Simple Correlation Function Method–Cloud Model: A Case Study in Henan Province, China," Sustainability, MDPI, vol. 13(21), pages 1-25, November.
    4. Yanlong Guo & Xingmeng Ma & Yelin Zhu & Denghang Chen & Han Zhang, 2023. "Research on Driving Factors of Forest Ecological Security: Evidence from 12 Provincial Administrative Regions in Western China," Sustainability, MDPI, vol. 15(6), pages 1-21, March.

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