Prediction of 3D deformation due to large gradient mining subsidence based on InSAR and constraints of IDPIM model

Jiang, Chuang; Wang, Lei; Yu, Xuexiang; Wei, Tao; Chi, Shenshen; Guo, Qingbiao

doi:10.1080/01431161.2020.1804088

Cited by 16 publications

(11 citation statements)

References 49 publications

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“…ese InSAR techniques have been used in a wide range of deformation monitoring applications, such as urban ground settlement [31][32][33], mine subsidence [34][35][36][37][38][39][40][41], earthquakes and plate movements [42][43][44][45], volcanic eruptions [46][47][48], infrastructure deformation [49][50][51], glacial drift [52][53][54][55], permafrost deformation [56][57][58][59][60], and landslides [61][62][63]. Compared to other MT-InSAR techniques, SBAS-InSAR has the advantage of being able to overcome atmospheric interference and requires a relatively small amount of data [14,16,21].…”

Section: Introductionmentioning

confidence: 99%

Deformation Monitoring in an Alpine Mining Area in the Tianshan Mountains Based on SBAS‐InSAR Technology

Zhou

et al. 2021

Advances in Materials Science and Engineering

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The fragile habitat of alpine mining areas can be greatly affected by surface disturbances caused by mining activities, particularly open-pit mining activities, which greatly affect the periglacial environment. SBAS-InSAR technology enables the processing of SAR images to obtain highly accurate surface deformation information. This paper applied SBAS-InSAR technology to obtain three years of surface subsidence information based on the 89-scene Sentinel-1A SLC products, covering a mining area (tailings and active areas) in the Tianshan Mountains and its surroundings from 25th December 2017 to 2nd January 2021. The data were adopted to analyze the characteristics of deformation in the study region and the mining areas, and the subsidence accumulation was compared with field GNSS observation results to verify its accuracy. The results showed that the study area settled significantly, with a maximum settlement rate of −44.80 mm/a and a maximum uplift rate of 28.04 mm/a. The maximum settlement and accumulation of the whole study area over the three-year period were −129.39 mm and 60.49 mm, respectively. The mining area had a settlement value of over 80 mm over the three years. Significantly, the settlement rates of the tailings and active areas were −35 mm/a and −40 mm/a, respectively. Debris accumulation in the eastern portion of the tailings and active areas near the mountain was serious, with accumulation rates of 25 mm/a and 20 mm/a, respectively, and both had accumulation amounts of around 70 mm. For mine tailing pile areas with river flows, the pile locations and environmental restoration should be appropriately adjusted at a later stage. For gravel pile areas, regular cleaning should be carried out, especially around the mining site and at the tunnel entrances and exits, and long-term deformation monitoring of these areas should be carried out to ensure safe operation of the mining site. The SBAS-InSAR measurements were able to yield deformations with high accuracies over a wide area and cost less human and financial resources than the GNSS measurement method. Furthermore, the measurement results were more macroscopic, with great application value for surface subsidence monitoring in alpine areas.

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Section: Introductionmentioning

confidence: 99%

Deformation Monitoring in an Alpine Mining Area in the Tianshan Mountains Based on SBAS‐InSAR Technology

Zhou

et al. 2021

Advances in Materials Science and Engineering

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“…The main content is focused on studying the law of MLS activities and internal mechanism analysis, optimizing the accuracy of the prediction model and its adaptability to complex mining conditions. (Chi et al, 2021;Jiang et al, 2021) The ecological environment damage caused by coal mining is a very important subject, and ecological protection and ecological restoration in mining areas are important research areas. (Li et al, 2020;Sun et al, 2019a).…”

Section: Discussionmentioning

confidence: 99%

Assessment on coal mining land subsidence by using an innovative comprehensive weighted cloud model combination PSR conceptual model

Zhou

Xiong

et al. 2022

Preprint

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The research on land subsidence (LS) is a global topic. In recent years, the environmental problems caused by coal mining have received great attention. In particular, mining land subsidence (MLS) caused damage to villages, buildings, farmland, etc, which seriously threatened the living environment and ecological environment of the mining area. To reasonably evaluate mining land subsidence (MLS) of coal mine, based on characteristics of strata movement in coal mining, this study put forward PSR (Pressure-State-Response) concept model based on MLS to build an evaluation index system of MLS in coal mine. Based on this index system, in view of the uncertainty in the evaluation process, the cloud model is used to represent the index weight and comprehensive evaluation calculations, which fully consider the randomness and ambiguity in the evaluation process. MLS of several important mining areas in China were evaluated and were classified as three grades (Slight-Medium-Strong). The cloud model assessment results are compared with the result of the probability integration method and the actual situation. The assessment results of the cloud model are closer to the actual situation than the probability integration method. It shows that the established MLS evaluation method based on cloud model in this study is reasonable and feasible. The Mining width and height ratio, depth and height ratio and coal seam dip angle are important factors affecting MLS. Therefore, improving the mining method to deal with the goaf reasonably, optimizing the mining design to control the influence range of mining are important measures to reduce the MLS and protect the ecological environment of mining areas.

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“…At present, many studies have monitored the ecological environment of high submersible mining areas in eastern China [39,40], mainly focusing on land use change [62,63], ecosystem service value assessment, water accumulation area identification [64,65], settlement monitoring [66] and vegetation quality evaluation [67,68]. This area is of concern by scholars, mainly because the mining area is located in eastern China, where the economy is more developed and densely populated.…”

Section: Ecological Problems In High Submersible Coal Mining Areas In...mentioning

confidence: 99%

How to Account for Changes in Carbon Storage from Coal Mining and Reclamation in Eastern China? Taking Yanzhou Coalfield as an Example to Simulate and Estimate

Han

Mao

et al. 2022

Remote Sensing

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Carbon sequestration in terrestrial ecosystems plays an essential role in coping with global climate change and achieving regional carbon neutrality. In mining areas with high groundwater levels in eastern China, underground coal mining has caused severe damage to surface ecology. It is of practical significance to evaluate and predict the positive and negative effects of coal mining and land reclamation on carbon pools. This study set up three scenarios for the development of the Yanzhou coalfield (YZC) in 2030, including: (1) no mining activities (NMA); (2) no reclamation after mining (NRM); (3) mining and reclamation (MR). The probability integral model (PIM) was used to predict the subsidence caused by mining in YZC in 2030, and land use and land cover (LULC) of 2010 and 2020 were interpreted by remote sensing images. Based on the classification of land damage, the LULC of different scenarios in the future was simulated by integrating various social and natural factors. Under different scenarios, the InVEST model evaluated carbon storage and its temporal and spatial distribution characteristics. The results indicated that: (1) By 2030, YZC would have 4341.13 ha of land disturbed by coal mining activities. (2) Carbon storage in the NRM scenario would be 37,647.11 Mg lower than that in the NMA scenario, while carbon storage in the MR scenario would be 18,151.03 Mg higher than that in the NRM scenario. Significantly, the Nantun mine would reduce carbon sequestration loss by 72.29% due to reclamation measures. (3) Carbon storage has a significant positive spatial correlation, and coal mining would lead to the fragmentation of the carbon sink. The method of accounting for and predicting carbon storage proposed in this study can provide data support for mining and reclamation planning of coal mine enterprises and carbon-neutral planning of government departments.

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Prediction of 3D deformation due to large gradient mining subsidence based on InSAR and constraints of IDPIM model

Cited by 16 publications

References 49 publications

Deformation Monitoring in an Alpine Mining Area in the Tianshan Mountains Based on SBAS‐InSAR Technology

Deformation Monitoring in an Alpine Mining Area in the Tianshan Mountains Based on SBAS‐InSAR Technology

Assessment on coal mining land subsidence by using an innovative comprehensive weighted cloud model combination PSR conceptual model

How to Account for Changes in Carbon Storage from Coal Mining and Reclamation in Eastern China? Taking Yanzhou Coalfield as an Example to Simulate and Estimate

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