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Impacting Factors and Temporal and Spatial Differentiation of Land Subsidence in Shanghai

Author

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  • Yishao Shi

    (College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China)

  • Donghui Shi

    (College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China)

  • Xiangyang Cao

    (College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China)

Abstract

This paper uses Grey Correlation Degree Analysis (GCDA) to obtain and compare the relationships between major impacting factors and land subsidence, and finds the spatial characteristics of subsidence in the urban centre by Exploratory Spatial Data Analysis (ESDA). The results show the following: (1) Annual ground subsidence in Shanghai has occurred in four stages: slow growth in the 1980s, rapid growth in the 1990s, gradual decline in the first decade of the 21st century, and steady development currently. (2) In general, natural impact factors on land subsidence are more significant than social factors. Sea-level rise has the most impact among the natural factors, and permanent residents have the most impact among the social factors. (3) The average annual subsidence of the urban centre has undergone the following stages: “weak spatial autocorrelation” → “strong spatial autocorrelation” → “weak spatial autocorrelation”. (4) The “high clustering” spatial pattern in 1978 gradually disintegrated. There has been no obvious spatial clustering since 2000, and the spatial distribution of subsidence tends to be discrete and random.

Suggested Citation

  • Yishao Shi & Donghui Shi & Xiangyang Cao, 2018. "Impacting Factors and Temporal and Spatial Differentiation of Land Subsidence in Shanghai," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3146-:d:167562
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    References listed on IDEAS

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    1. Hiroshi Takagi, 2018. "Long-Term Design of Mangrove Landfills as an Effective Tide Attenuator under Relative Sea-Level Rise," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    2. Yu Chen, 2016. "Conceptual Framework for the Development of an Indicator System for the Assessment of Regional Land Subsidence Disaster Vulnerability," Sustainability, MDPI, vol. 8(8), pages 1-16, August.
    3. Ye-Shuang Xu & Shui-Long Shen & Dong-Jie Ren & Huai-Na Wu, 2016. "Analysis of Factors in Land Subsidence in Shanghai: A View Based on a Strategic Environmental Assessment," Sustainability, MDPI, vol. 8(6), pages 1-12, June.
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    Cited by:

    1. Dong Li & Chongyang Huan & Jun Yang & Hanlong Gu, 2022. "Temporal and Spatial Distribution Changes, Driving Force Analysis and Simulation Prediction of Ecological Vulnerability in Liaoning Province, China," Land, MDPI, vol. 11(7), pages 1-25, July.
    2. Adel Ghasemi & Omid Bahmani & Samira Akhavan & Hamid Reza Pourghasemi, 2023. "Investigation of land-subsidence phenomenon and aquifer vulnerability using machine models and GIS technique," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1645-1671, September.

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