Spatiotemporal Characterization of Land Subsidence in Guandu (China)‎ Revealed by Multisensor InSAR Observations

المؤلفون المشاركون

Zhu, Wu
Zhang, Xue-qi
Liu, Zhan-ke
Zhu, Qian

المصدر

Journal of Sensors

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-10-22

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

هندسة مدنية

الملخص EN

Excessive groundwater exploitation has brought about severe ground subsidence in Guandu (China), threatening the stability of urban infrastructure.

Mapping of the spatiotemporal variations of ground deformation is urgently needed for disaster prevention and mitigation.

In this study, multisensor interferometric synthetic aperture radar (InSAR) observations were applied to Guandu to derive the time series deformation from 2007 to 2019.

The annual deformation velocity revealed three severe subsiding regions in Guandu.

Based on the ascending and descending Sentinel-1 images with overlapping temporal and spatial coverage, two-dimensional vertical and horizontal east–west deformation was calculated and indicated that the deformation in Guandu was dominated by vertical direction.

After connecting the multisensor results, long-term ground deformation spanning from January 9, 2007, to September 1, 2019, was produced and showed that the north subsiding region experienced fast followed by slow subsidence, whereas the south subsiding region experienced slow followed by fast subsidence.

This difference was due to the changes of groundwater pumping centers and rates.

The cumulative maximum subsidence reached 400 mm during the period of 2007–2019.

The similar variations in temporal domain between the change of groundwater level and ground deformation suggested that groundwater exploitation accounted for the severe subsidence in Guandu.

Our results may provide scientific evidence regarding the sound management of groundwater exploitation to mitigate potential damage to infrastructure and the environment.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhu, Wu& Zhang, Xue-qi& Liu, Zhan-ke& Zhu, Qian. 2020. Spatiotemporal Characterization of Land Subsidence in Guandu (China) Revealed by Multisensor InSAR Observations. Journal of Sensors،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1190657

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhu, Wu…[et al.]. Spatiotemporal Characterization of Land Subsidence in Guandu (China) Revealed by Multisensor InSAR Observations. Journal of Sensors No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1190657

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhu, Wu& Zhang, Xue-qi& Liu, Zhan-ke& Zhu, Qian. Spatiotemporal Characterization of Land Subsidence in Guandu (China) Revealed by Multisensor InSAR Observations. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1190657

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1190657