Application prospect of AI technology in the land subsidence analysis
As a global geo-environmental issue, land subsidence poses a severe challenge to urban safety and sustainable development. Traditional methods for land subsidence analysis face challenges in terms of speed and accuracy in big data processing and monitoring; it thus requires new approaches. Artificia...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Hydrogeology & Engineering Geology
2024-11-01
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| Series: | Shuiwen dizhi gongcheng dizhi |
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| Online Access: | https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202404049 |
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| _version_ | 1832595908606296064 |
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| author | Tongchun QIN Tongyun YU Yong WANG Di NING Haigang WANG |
| author_facet | Tongchun QIN Tongyun YU Yong WANG Di NING Haigang WANG |
| author_sort | Tongchun QIN |
| collection | DOAJ |
| description | As a global geo-environmental issue, land subsidence poses a severe challenge to urban safety and sustainable development. Traditional methods for land subsidence analysis face challenges in terms of speed and accuracy in big data processing and monitoring; it thus requires new approaches. Artificial intelligence (AI) technology, as a representative of new quality productive forces, offers advantages in data preprocessing, model construction, and trend forecasting. This paper aims to further integrate AI into the study of land subsidence through a literature review. Initially, the paper provided a background introduction to AI and analyzed its current application in the field of land subsidence. The application of AI in land subsidence from the perspectives of monitoring and early warning systems, as well as macroscopic and microscopic mechanism studies was then prospected, highlighting the potential of AI in improving efficiency and accuracy. Finally, this review analyzed the limitations of AI and proposed suggestions in the future. It states that the study on land subsidence requires further assistance from AI technology. A deeper integration of AI technology into land subsidence analysis will not only improve data processing capabilities but also provide new insights into the early warning and effective control of land subsidence, contributing to the advancement and development of the field of land subsidence. |
| format | Article |
| id | doaj-art-2350b0cd01a24d66a714812fad816f81 |
| institution | Kabale University |
| issn | 1000-3665 |
| language | zho |
| publishDate | 2024-11-01 |
| publisher | Editorial Office of Hydrogeology & Engineering Geology |
| record_format | Article |
| series | Shuiwen dizhi gongcheng dizhi |
| spelling | doaj-art-2350b0cd01a24d66a714812fad816f812025-01-18T03:53:13ZzhoEditorial Office of Hydrogeology & Engineering GeologyShuiwen dizhi gongcheng dizhi1000-36652024-11-0151623224010.16030/j.cnki.issn.1000-3665.202404049202404049Application prospect of AI technology in the land subsidence analysisTongchun QIN0Tongyun YU1Yong WANG2Di NING3Haigang WANG4Department of Civil Engineering, Nantong Institute of Technology, Nantong, Jiangsu 226001, ChinaDepartment of Civil Engineering, Nantong Institute of Technology, Nantong, Jiangsu 226001, ChinaHainan Marine Geological Survey, Haikou, Hainan 570206, ChinaChina Institute of Geo-Environment Monitoring （Guide Center of Prevention Technology for Geo-hazards, MNR）, Beijing 100081, ChinaChina Institute of Geo-Environment Monitoring （Guide Center of Prevention Technology for Geo-hazards, MNR）, Beijing 100081, ChinaAs a global geo-environmental issue, land subsidence poses a severe challenge to urban safety and sustainable development. Traditional methods for land subsidence analysis face challenges in terms of speed and accuracy in big data processing and monitoring; it thus requires new approaches. Artificial intelligence (AI) technology, as a representative of new quality productive forces, offers advantages in data preprocessing, model construction, and trend forecasting. This paper aims to further integrate AI into the study of land subsidence through a literature review. Initially, the paper provided a background introduction to AI and analyzed its current application in the field of land subsidence. The application of AI in land subsidence from the perspectives of monitoring and early warning systems, as well as macroscopic and microscopic mechanism studies was then prospected, highlighting the potential of AI in improving efficiency and accuracy. Finally, this review analyzed the limitations of AI and proposed suggestions in the future. It states that the study on land subsidence requires further assistance from AI technology. A deeper integration of AI technology into land subsidence analysis will not only improve data processing capabilities but also provide new insights into the early warning and effective control of land subsidence, contributing to the advancement and development of the field of land subsidence.https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202404049new quality productive forcesailand subsidencedata processingmonitoring and early warning systems |
| spellingShingle | Tongchun QIN Tongyun YU Yong WANG Di NING Haigang WANG Application prospect of AI technology in the land subsidence analysis Shuiwen dizhi gongcheng dizhi new quality productive forces ai land subsidence data processing monitoring and early warning systems |
| title | Application prospect of AI technology in the land subsidence analysis |
| title_full | Application prospect of AI technology in the land subsidence analysis |
| title_fullStr | Application prospect of AI technology in the land subsidence analysis |
| title_full_unstemmed | Application prospect of AI technology in the land subsidence analysis |
| title_short | Application prospect of AI technology in the land subsidence analysis |
| title_sort | application prospect of ai technology in the land subsidence analysis |
| topic | new quality productive forces ai land subsidence data processing monitoring and early warning systems |
| url | https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202404049 |
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