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Analysis of Land Surface Deformation in Chagan Lake Region Using TCPInSAR

Author

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  • Fengyan Wang

    (College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China)

  • Qing Ding

    (College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China)

  • Lei Zhang

    (Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Mingchang Wang

    (College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China)

  • Qing Wang

    (College of Construction Engineering, Jilin University, Changchun 130026, China)

Abstract

Due to earthquakes and large-scale exploitation of oil, gas, groundwater, and coal energy, large-scope surface deformation has occurred in Songyuan City, Jilin Province, China, and it is posing a serious threat to sustainable development, including urban development, energy utilization, environmental protection, and construction to improve saline–alkali land. In this study, we selected the Chagan Lake region, which is located in Songyuan City, as our research area. Using temporarily coherent point synthetic aperture radar interferometry (TCPInSAR), we obtained a time series of land surface deformation and the deformation rate in this area from 20 ALOS PALSAR images from 2006 to 2010. The results showed that the deformation rate in the Chagan Lake region ranged from −46.7 mm/year to 41.7 mm/year during the monitoring period. In three typical land cover areas of the Chagan Lake region, the subsidence in the wetland area was larger than that in the saline–alkali area, while the highway experienced a small uplift. In addition, surface deformation in lakeside areas with or without dykes was different; however, as this was mainly affected by soil freeze–thaw cycles and changes in groundwater level, the deformation showed a negative correlation with temperature and precipitation. By monitoring and analyzing surface deformation, we can provide a data reference and scientific basis for sustainable ecological and economic development in the Chagan Lake region and adjacent areas.

Suggested Citation

  • Fengyan Wang & Qing Ding & Lei Zhang & Mingchang Wang & Qing Wang, 2019. "Analysis of Land Surface Deformation in Chagan Lake Region Using TCPInSAR," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5090-:d:268102
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    References listed on IDEAS

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    1. Yuyi Wang & Yahui Guo & Shunqiang Hu & Yong Li & Jingzhe Wang & Xuesong Liu & Le Wang, 2019. "Ground Deformation Analysis Using InSAR and Backpropagation Prediction with Influencing Factors in Erhai Region, China," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
    2. Wei Zhou & Fulong Chen & Huadong Guo, 2015. "Differential Radar Interferometry for Structural and Ground Deformation Monitoring: A New Tool for the Conservation and Sustainability of Cultural Heritage Sites," Sustainability, MDPI, vol. 7(2), pages 1-18, February.
    3. Marco Polcari & Matteo Albano & Antonio Montuori & Christian Bignami & Cristiano Tolomei & Giuseppe Pezzo & Sergio Falcone & Carmelo La Piana & Fawzi Doumaz & Stefano Salvi & Salvatore Stramondo, 2018. "InSAR Monitoring of Italian Coastline Revealing Natural and Anthropogenic Ground Deformation Phenomena and Future Perspectives," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
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    Cited by:

    1. Zhaoyang Li & Zelin Jiang & Yunke Qu & Yidan Cao & Feihu Sun & Yindong Dai, 2022. "Analysis of Landscape Change and Its Driving Mechanism in Chagan Lake National Nature Reserve," Sustainability, MDPI, vol. 14(9), pages 1-23, May.
    2. Bo Hu & Bangxin Chen & Jing Na & Jianqun Yao & Zhimin Zhang & Xiangfeng Du, 2022. "Urban Surface Deformation Management: Assessing Dangerous Subsidence Areas through Regional Surface Deformation, Natural Factors, and Human Activities," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    3. Hyung-Sup Jung & Saro Lee & Biswajeet Pradhan, 2020. "Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations," Sustainability, MDPI, vol. 12(6), pages 1-6, March.

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