Zheng Meinan, Deng Kazhong, Fan Hongdong, Zhang Hongzhen, Qin Xipeng
{"title":"持续散射体与分布散射体相结合的时间序列SAR干涉反演封闭矿山地表二次沉陷","authors":"Zheng Meinan, Deng Kazhong, Fan Hongdong, Zhang Hongzhen, Qin Xipeng","doi":"10.1007/s12665-023-10916-0","DOIUrl":null,"url":null,"abstract":"<div><p>The groundwater recovery in closed mines causes surface secondary subsidence or uplift, which threatens the safety of buildings around the mines. However, due to the long-lasting surface subsidence in closed mines, the coherence points selected by permanent scatterer (PS) interferometric synthetic aperture radar (InSAR) are not enough to reflect the spatio-temporal evolution pattern of surface subsidence. Therefore, this study proposes a distributed scatterer (DS) InSAR method by integrating statistically homogeneous pixels selection and phase optimization into PSInSAR. To prove the effectiveness of DSInSAR, PSInSAR is employed synchronously to obtain the surface subsidence of closed mines in Xuzhou, Jiangsu Province, based on 88 scenes Sentinel-1A images from October 2016 to October 2019. The results show that the spatial heterogeneity of surface subsidence (− 35 mm/year to <span>\\(+\\)</span> 35 mm/year) in closed mines is obvious, the coherent point density of DSInSAR is 13.3 times that of PSInSAR, and DSInSAR retrieves three subsidence areas that PSInSAR missed. Moreover, the results of DSInSAR and PSInSAR are consistent, with a correlation of 0.92. Compared with the leveling data shows that the root mean square error (RMSE) of DSInSAR monitoring results is 3.81 mm, which is slightly higher than that of PSInSAR (RMSE: 3.84 mm). Finally, the difference between the surface subsidence of closed and mining mines was analyzed, which shows that the surface secondary subsidence of closed mines is complex, uneven, and diverse. Therefore, obtaining the long-term and complete surface subsidence of closed mines is of great significance to predict and prevent surface subsidence disasters.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"82 9","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retrieving surface secondary subsidence in closed mines with time-series SAR interferometry combining persistent and distributed scatterers\",\"authors\":\"Zheng Meinan, Deng Kazhong, Fan Hongdong, Zhang Hongzhen, Qin Xipeng\",\"doi\":\"10.1007/s12665-023-10916-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The groundwater recovery in closed mines causes surface secondary subsidence or uplift, which threatens the safety of buildings around the mines. However, due to the long-lasting surface subsidence in closed mines, the coherence points selected by permanent scatterer (PS) interferometric synthetic aperture radar (InSAR) are not enough to reflect the spatio-temporal evolution pattern of surface subsidence. Therefore, this study proposes a distributed scatterer (DS) InSAR method by integrating statistically homogeneous pixels selection and phase optimization into PSInSAR. To prove the effectiveness of DSInSAR, PSInSAR is employed synchronously to obtain the surface subsidence of closed mines in Xuzhou, Jiangsu Province, based on 88 scenes Sentinel-1A images from October 2016 to October 2019. The results show that the spatial heterogeneity of surface subsidence (− 35 mm/year to <span>\\\\(+\\\\)</span> 35 mm/year) in closed mines is obvious, the coherent point density of DSInSAR is 13.3 times that of PSInSAR, and DSInSAR retrieves three subsidence areas that PSInSAR missed. Moreover, the results of DSInSAR and PSInSAR are consistent, with a correlation of 0.92. Compared with the leveling data shows that the root mean square error (RMSE) of DSInSAR monitoring results is 3.81 mm, which is slightly higher than that of PSInSAR (RMSE: 3.84 mm). Finally, the difference between the surface subsidence of closed and mining mines was analyzed, which shows that the surface secondary subsidence of closed mines is complex, uneven, and diverse. Therefore, obtaining the long-term and complete surface subsidence of closed mines is of great significance to predict and prevent surface subsidence disasters.</p></div>\",\"PeriodicalId\":542,\"journal\":{\"name\":\"Environmental Earth Sciences\",\"volume\":\"82 9\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Earth Sciences\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12665-023-10916-0\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Earth Sciences","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s12665-023-10916-0","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Retrieving surface secondary subsidence in closed mines with time-series SAR interferometry combining persistent and distributed scatterers
The groundwater recovery in closed mines causes surface secondary subsidence or uplift, which threatens the safety of buildings around the mines. However, due to the long-lasting surface subsidence in closed mines, the coherence points selected by permanent scatterer (PS) interferometric synthetic aperture radar (InSAR) are not enough to reflect the spatio-temporal evolution pattern of surface subsidence. Therefore, this study proposes a distributed scatterer (DS) InSAR method by integrating statistically homogeneous pixels selection and phase optimization into PSInSAR. To prove the effectiveness of DSInSAR, PSInSAR is employed synchronously to obtain the surface subsidence of closed mines in Xuzhou, Jiangsu Province, based on 88 scenes Sentinel-1A images from October 2016 to October 2019. The results show that the spatial heterogeneity of surface subsidence (− 35 mm/year to \(+\) 35 mm/year) in closed mines is obvious, the coherent point density of DSInSAR is 13.3 times that of PSInSAR, and DSInSAR retrieves three subsidence areas that PSInSAR missed. Moreover, the results of DSInSAR and PSInSAR are consistent, with a correlation of 0.92. Compared with the leveling data shows that the root mean square error (RMSE) of DSInSAR monitoring results is 3.81 mm, which is slightly higher than that of PSInSAR (RMSE: 3.84 mm). Finally, the difference between the surface subsidence of closed and mining mines was analyzed, which shows that the surface secondary subsidence of closed mines is complex, uneven, and diverse. Therefore, obtaining the long-term and complete surface subsidence of closed mines is of great significance to predict and prevent surface subsidence disasters.
期刊介绍:
Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth:
Water and soil contamination caused by waste management and disposal practices
Environmental problems associated with transportation by land, air, or water
Geological processes that may impact biosystems or humans
Man-made or naturally occurring geological or hydrological hazards
Environmental problems associated with the recovery of materials from the earth
Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources
Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials
Management of environmental data and information in data banks and information systems
Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment
In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.