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Inversion and Analysis of Mining Subsidence by Integrating DInSAR, Offset Tracking, and PIM Technology
المؤلفون المشاركون
Zhao, Dezheng
Xu, Xiaobo
Ma, Chao
Lian, Dajun
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-01
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
High-intensity underground mining generates considerable surface subsidence in mining areas, including ground cracks and collapse pits on roads and farmland, threatening the safety of buildings.
Large-amplitude subsidence (e.g., >2 m) is usually characterized by a large phase gradient in interferograms, leading to severe phase decorrelation and unwrapping errors.
Therefore, the subsidence on the surface cannot be well derived simply using conventional differential interferometric synthetic aperture radar (DInSAR) or other geodetic measurements.
We propose a new method that combines both DInSAR and subpixel offset-tracking technology to improve mine subsidence monitoring over large areas.
We utilize their respective advantages to extract both the spatial boundaries and the amplitude of displacements.
Using high-resolution RADARSAT-2 SAR images (5 m) acquired on February 13, 2012, and November 27, 2012, in the Shendong Coalfield located at the border between Shaanxi Province and Inner Mongolia Province, China, we obtain the subcentimetre-level subsidence of the mine boundary by DInSAR and resolve the metre-level mine subsidence centre based on subpixel offset tracking.
The whole subsidence field is obtained by combining and analyzing the subcentimetre-level and the metre-level subsidence.
We use the probability integral method (PIM) function model to fit the boundary and central mine subsidence to reconstruct the spatial distribution of the mine subsidence.
Our results show that the maximum central subsidence reaches ~4.0 m (beyond the monitoring capabilities of DInSAR), which is generally in agreement with the maximum subsidence of ~4.0-5.0 m from field investigation.
We also model the boundary and the central subsidence (the final fitting coefficient is 0.978).
Our findings indicate that the offset-tracking method can compensate for the deficiency of DInSAR in large-amplitude subsidence extraction, and the inclusion of the PIM technique helps reconstruct the whole subsidence field in mining areas.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Xiaobo& Ma, Chao& Lian, Dajun& Zhao, Dezheng. 2020. Inversion and Analysis of Mining Subsidence by Integrating DInSAR, Offset Tracking, and PIM Technology. Journal of Sensors،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1190431
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Xiaobo…[et al.]. Inversion and Analysis of Mining Subsidence by Integrating DInSAR, Offset Tracking, and PIM Technology. Journal of Sensors No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1190431
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Xiaobo& Ma, Chao& Lian, Dajun& Zhao, Dezheng. Inversion and Analysis of Mining Subsidence by Integrating DInSAR, Offset Tracking, and PIM Technology. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1190431
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1190431
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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