Monitoring and Quantitative Human Risk Assessment of Municipal Solid Waste Landfill Using Integrated Satellite–UAV–Ground Survey Approach
Landfills are the dominant method of municipal solid waste (MSW) disposal in many developing countries, which are extremely susceptible to failure under circumstances of high pore water pressure and insufficient compaction. Catastrophic landfill failures have occurred worldwide, causing large number...
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2021
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oai:doaj.org-article:a2a6586b8335429fbb0b4a23264c9fa02021-11-25T18:53:40ZMonitoring and Quantitative Human Risk Assessment of Municipal Solid Waste Landfill Using Integrated Satellite–UAV–Ground Survey Approach10.3390/rs132244962072-4292https://doaj.org/article/a2a6586b8335429fbb0b4a23264c9fa02021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4496https://doaj.org/toc/2072-4292Landfills are the dominant method of municipal solid waste (MSW) disposal in many developing countries, which are extremely susceptible to failure under circumstances of high pore water pressure and insufficient compaction. Catastrophic landfill failures have occurred worldwide, causing large numbers of fatalities. Tianziling landfill, one of the largest engineered sanitary landfills in China, has experienced massive deformation since January 2020, making early identification and monitoring of great significance for the purpose of risk management. The human risk posed by potential landfill failures also needs to be quantitatively evaluated. The interferometric synthetic aperture radar (InSAR) technique, unmanned aerial vehicle (UAV) photogrammetry, and ground measurements were combined to obtain landfill deformation data in this study. The integrated satellite–UAV–ground survey (ISUGS) approach ensures a comprehensive understanding of landfill deformation and evolution. The deformation characteristics obtained using the InSAR technique and UAV photogrammetry were analyzed and compared. A close relationship between the most severe mobility events, precipitation episodes, and was observed. Based on early hazard identification using ISUGS, a quantitative risk assessment (QRA) method and F-N curves were proposed, which can be applied to landfills. The comparison showed that ISUGS allowed a better understanding of the spatial and temporal evolution of the landfill and more accurate QRA results, which could be as references for local governments to take effective precautions.Shuai ZhangYunhong LvHaiben YangYingyue HanJingyu PengJiwu LanLiangtong ZhanYunmin ChenBate BateMDPI AGarticleInSARUAV photogrammetryearly identificationrisk analysisrisk managementF-N curveScienceQENRemote Sensing, Vol 13, Iss 4496, p 4496 (2021) |
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InSAR UAV photogrammetry early identification risk analysis risk management F-N curve Science Q |
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InSAR UAV photogrammetry early identification risk analysis risk management F-N curve Science Q Shuai Zhang Yunhong Lv Haiben Yang Yingyue Han Jingyu Peng Jiwu Lan Liangtong Zhan Yunmin Chen Bate Bate Monitoring and Quantitative Human Risk Assessment of Municipal Solid Waste Landfill Using Integrated Satellite–UAV–Ground Survey Approach |
| description |
Landfills are the dominant method of municipal solid waste (MSW) disposal in many developing countries, which are extremely susceptible to failure under circumstances of high pore water pressure and insufficient compaction. Catastrophic landfill failures have occurred worldwide, causing large numbers of fatalities. Tianziling landfill, one of the largest engineered sanitary landfills in China, has experienced massive deformation since January 2020, making early identification and monitoring of great significance for the purpose of risk management. The human risk posed by potential landfill failures also needs to be quantitatively evaluated. The interferometric synthetic aperture radar (InSAR) technique, unmanned aerial vehicle (UAV) photogrammetry, and ground measurements were combined to obtain landfill deformation data in this study. The integrated satellite–UAV–ground survey (ISUGS) approach ensures a comprehensive understanding of landfill deformation and evolution. The deformation characteristics obtained using the InSAR technique and UAV photogrammetry were analyzed and compared. A close relationship between the most severe mobility events, precipitation episodes, and was observed. Based on early hazard identification using ISUGS, a quantitative risk assessment (QRA) method and F-N curves were proposed, which can be applied to landfills. The comparison showed that ISUGS allowed a better understanding of the spatial and temporal evolution of the landfill and more accurate QRA results, which could be as references for local governments to take effective precautions. |
| format |
article |
| author |
Shuai Zhang Yunhong Lv Haiben Yang Yingyue Han Jingyu Peng Jiwu Lan Liangtong Zhan Yunmin Chen Bate Bate |
| author_facet |
Shuai Zhang Yunhong Lv Haiben Yang Yingyue Han Jingyu Peng Jiwu Lan Liangtong Zhan Yunmin Chen Bate Bate |
| author_sort |
Shuai Zhang |
| title |
Monitoring and Quantitative Human Risk Assessment of Municipal Solid Waste Landfill Using Integrated Satellite–UAV–Ground Survey Approach |
| title_short |
Monitoring and Quantitative Human Risk Assessment of Municipal Solid Waste Landfill Using Integrated Satellite–UAV–Ground Survey Approach |
| title_full |
Monitoring and Quantitative Human Risk Assessment of Municipal Solid Waste Landfill Using Integrated Satellite–UAV–Ground Survey Approach |
| title_fullStr |
Monitoring and Quantitative Human Risk Assessment of Municipal Solid Waste Landfill Using Integrated Satellite–UAV–Ground Survey Approach |
| title_full_unstemmed |
Monitoring and Quantitative Human Risk Assessment of Municipal Solid Waste Landfill Using Integrated Satellite–UAV–Ground Survey Approach |
| title_sort |
monitoring and quantitative human risk assessment of municipal solid waste landfill using integrated satellite–uav–ground survey approach |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/a2a6586b8335429fbb0b4a23264c9fa0 |
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