A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence Prediction
Surface waterlogging disasters due to underground mining and geological status have caused the abandonment of fertile land, seriously damaged the ecological environment, and have influenced the sustainable development of coal resource-based cities, which has become a problem that some mining areas n...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/16/7/1002 |
| _version_ | 1797211877376262144 |
|---|---|
| author | Xiaojun Zhu Mingjian Qiu Pengfei Zhang Errui Ni Jianxin Zhang Li’ao Quan Hui Liu Xiaoyu Yang |
| author_facet | Xiaojun Zhu Mingjian Qiu Pengfei Zhang Errui Ni Jianxin Zhang Li’ao Quan Hui Liu Xiaoyu Yang |
| author_sort | Xiaojun Zhu |
| collection | DOAJ |
| description | Surface waterlogging disasters due to underground mining and geological status have caused the abandonment of fertile land, seriously damaged the ecological environment, and have influenced the sustainable development of coal resource-based cities, which has become a problem that some mining areas need to face. However, the traditional underwater terrain measurement method using sonar encompasses a time-consuming and labor-intensive process. Thus, an inversion method for obtaining the underwater spatial information of subsidence waterlogging in coal mining subsidence waterlogging areas is proposed, based on differential interferometric synthetic aperture radar (D-InSAR) and the probability integral prediction method. First, subsidence values are obtained in the marginal area of the subsidence basin using D-InSAR technology. Then, the subsidence prediction parameters of the probability integral method (PIM) are inverted by a genetic algorithm (GA) based on the subsidence values. Finally, the underwater spatial information of subsidence waterlogging is calculated on the basis of the prediction parameters. The subsidence waterlogging area in the Wugou coal mine was adopted as the study area, and the underwater spatial information of subsidence waterlogging was inverted by the proposed method. The results show that this method can effectively provide the underwater spatial information of subsidence waterlogging, including the maximum subsidence value, waterlogging volume, subsidence waterlogging area, and underwater terrain in the subsidence waterlogging area. Compared with field-measured data from the same period, the RMSE of water depth is 99 mm, and the relative error is 9.9%, which proves that this inversion method is accurate and can meet engineering precision requirements. |
| first_indexed | 2024-04-24T10:33:28Z |
| format | Article |
| id | doaj.art-56f2c12d9a8e47ffba6392b62e53cd17 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-04-24T10:33:28Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-56f2c12d9a8e47ffba6392b62e53cd172024-04-12T13:27:09ZengMDPI AGWater2073-44412024-03-01167100210.3390/w16071002A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence PredictionXiaojun Zhu0Mingjian Qiu1Pengfei Zhang2Errui Ni3Jianxin Zhang4Li’ao Quan5Hui Liu6Xiaoyu Yang7School of Resources and Environmental Engineering, Anhui University, Hefei 230601, ChinaSchool of Resources and Environmental Engineering, Anhui University, Hefei 230601, ChinaSchool of Resources and Environmental Engineering, Anhui University, Hefei 230601, ChinaThe Fourth Surveying and Mapping Institute of Anhui Province, Hefei 230031, ChinaThe Fourth Surveying and Mapping Institute of Anhui Province, Hefei 230031, ChinaThe Fourth Surveying and Mapping Institute of Anhui Province, Hefei 230031, ChinaSchool of Resources and Environmental Engineering, Anhui University, Hefei 230601, ChinaDepartment of Engineering Management, Hefei College of Finance and Economics, Hefei 231299, ChinaSurface waterlogging disasters due to underground mining and geological status have caused the abandonment of fertile land, seriously damaged the ecological environment, and have influenced the sustainable development of coal resource-based cities, which has become a problem that some mining areas need to face. However, the traditional underwater terrain measurement method using sonar encompasses a time-consuming and labor-intensive process. Thus, an inversion method for obtaining the underwater spatial information of subsidence waterlogging in coal mining subsidence waterlogging areas is proposed, based on differential interferometric synthetic aperture radar (D-InSAR) and the probability integral prediction method. First, subsidence values are obtained in the marginal area of the subsidence basin using D-InSAR technology. Then, the subsidence prediction parameters of the probability integral method (PIM) are inverted by a genetic algorithm (GA) based on the subsidence values. Finally, the underwater spatial information of subsidence waterlogging is calculated on the basis of the prediction parameters. The subsidence waterlogging area in the Wugou coal mine was adopted as the study area, and the underwater spatial information of subsidence waterlogging was inverted by the proposed method. The results show that this method can effectively provide the underwater spatial information of subsidence waterlogging, including the maximum subsidence value, waterlogging volume, subsidence waterlogging area, and underwater terrain in the subsidence waterlogging area. Compared with field-measured data from the same period, the RMSE of water depth is 99 mm, and the relative error is 9.9%, which proves that this inversion method is accurate and can meet engineering precision requirements.https://www.mdpi.com/2073-4441/16/7/1002subsidence waterloggingunderwater spatial informationD-InSAR technologygenetic algorithm |
| spellingShingle | Xiaojun Zhu Mingjian Qiu Pengfei Zhang Errui Ni Jianxin Zhang Li’ao Quan Hui Liu Xiaoyu Yang A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence Prediction Water subsidence waterlogging underwater spatial information D-InSAR technology genetic algorithm |
| title | A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence Prediction |
| title_full | A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence Prediction |
| title_fullStr | A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence Prediction |
| title_full_unstemmed | A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence Prediction |
| title_short | A New Inversion Method for Obtaining Underwater Spatial Information of Subsidence Waterlogging Based on InSAR Technology and Subsidence Prediction |
| title_sort | new inversion method for obtaining underwater spatial information of subsidence waterlogging based on insar technology and subsidence prediction |
| topic | subsidence waterlogging underwater spatial information D-InSAR technology genetic algorithm |
| url | https://www.mdpi.com/2073-4441/16/7/1002 |
| work_keys_str_mv | AT xiaojunzhu anewinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT mingjianqiu anewinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT pengfeizhang anewinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT erruini anewinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT jianxinzhang anewinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT liaoquan anewinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT huiliu anewinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT xiaoyuyang anewinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT xiaojunzhu newinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT mingjianqiu newinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT pengfeizhang newinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT erruini newinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT jianxinzhang newinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT liaoquan newinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT huiliu newinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction AT xiaoyuyang newinversionmethodforobtainingunderwaterspatialinformationofsubsidencewaterloggingbasedoninsartechnologyandsubsidenceprediction |