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Monitoring of Land Subsidence and Analysis of Impact Factors in the Tianshan North Slope Urban Agglomeration

Author

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  • Xiaoqiang Yi

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

  • Lang Wang

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

  • Hui Ci

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

  • Ran Wang

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

  • Hui Yang

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

  • Zhaojin Yan

    (School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

As one of the 19 key regions for comprehensive land development in China, the Tianshan North Slope urban agglomeration is significant for China’s urban development when calculating the land subsidence and analyzing the impact factors. This study focused on eight cities in the Tianshan North Slope urban agglomeration, calculating the land subsidence rate from 18 January 2018 to 12 April 2023 using Sentinel-1A data and analyzing the spatiotemporal patterns and impact factors of land subsidence. The results showed that (1) the average land subsidence rate is mainly distributed between −30 and 10 mm/a, and the maximum subsidence rate can reach −358 mm/a. Land uplift mainly occurs in Hutubi County and Manas County. (2) From the transition matrix, landscape pattern index, and Moran’s I, the spatiotemporal patterns of the land subsidence rate are obvious, with a spatial positive correlation. During the monitoring period, each administration experienced varying degrees of land subsidence or uplift processes. (3) Using GeoDetector to perform quantitative analyses, it was found that the hydrological environment is significant to land subsidence, and human activities, such as road network density and nighttime lighting, contribute the least to land subsidence, suggesting that it is related to the arid climate of the study area. This paper aims to provide theoretical support for the stable development of and production activities in the study area. This approach not only offers technical support but also provides guidance for evaluating, monitoring, and the early warning of land subsidence in the region.

Suggested Citation

  • Xiaoqiang Yi & Lang Wang & Hui Ci & Ran Wang & Hui Yang & Zhaojin Yan, 2025. "Monitoring of Land Subsidence and Analysis of Impact Factors in the Tianshan North Slope Urban Agglomeration," Land, MDPI, vol. 14(1), pages 1-24, January.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:1:p:202-:d:1571099
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    References listed on IDEAS

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    1. Jinmeng Lee & Xiaojun Yin & Honghui Zhu, 2024. "Spatial Optimization of Land Use Allocation Based on the Trade-off of Carbon Mitigation and Economic Benefits: A Study in Tianshan North Slope Urban Agglomeration," Land, MDPI, vol. 13(6), pages 1-18, June.
    2. Zhen Du & Li Feng & Haiheng Wang & Ying Dong & Da Luo & Xu Zhang & Hao Liu & Maosheng Zhang, 2023. "Identification of Ground Deformation Patterns in Coal Mining Areas via Rapid Topographical Analysis," Land, MDPI, vol. 12(6), pages 1-18, June.
    3. Jin-Zhi Zhang & Hai-jun Huang & Hai-bo Bi, 2015. "Land subsidence in the modern Yellow River Delta based on InSAR time series analysis," 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. 75(3), pages 2385-2397, February.
    4. Gulbakram Ahmed & Mei Zan & Pariha Helili & Alimujiang Kasimu, 2023. "Responses of Vegetation Phenology to Urbanisation and Natural Factors along an Urban-Rural Gradient: A Case Study of an Urban Agglomeration on the Northern Slope of the Tianshan Mountains," Land, MDPI, vol. 12(5), pages 1-18, May.
    5. Scott Jasechko & Hansjörg Seybold & Debra Perrone & Ying Fan & Mohammad Shamsudduha & Richard G. Taylor & Othman Fallatah & James W. Kirchner, 2024. "Rapid groundwater decline and some cases of recovery in aquifers globally," Nature, Nature, vol. 625(7996), pages 715-721, January.
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