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Statistical probability of accident risks of municipal solid waste landfills in China based on internet big data
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Qi-qi ZHANG1, 2, 3, Shao-dong ZHANG1, 2, 3, Ling-hong XU1, 2, 3, Zhi-yong HAN1, 2, 3, *
China Environmental Science | 2026, 46(2) : 1176 - 1184
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China Environmental Science | 2026, 46(2): 1176-1184
• Environmental Impact Assessment and Management •
Statistical probability of accident risks of municipal solid waste landfills in China based on internet big data
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Qi-qi ZHANG1, 2, 3, Shao-dong ZHANG1, 2, 3, Ling-hong XU1, 2, 3, Zhi-yong HAN1, 2, 3, *
Affiliations
  • 1.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), Chengdu 610059, China
  • 2.State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution (Chengdu University of Technology), Chengdu 610059, China
  • 3.College of Ecology and Environment, Chengdu University of Technology, Chengdu 610059, China
Published: 2026-02-20
Outline
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Based on big data retrieval of internet-reported risk incidents in municipal solid waste (MSW) landfills from 2004 to 2022 in China, landfill accident risks were statistically analyzed with a discrete binomial distribution probability mode. The aims were to clarify accident types, occurrence probabilities and trends, identify major risk sources, and propose targeted prevention measures, thereby providing a theoretical basis for landfill risk management. The results showed that a total of 128 MSW landfill accidents were reported, with annual occurrences exhibiting a fluctuating upward trend, peaking in 2021 before declining. The overall probability of landfill accidents was 1.92×10-2, with the following distribution by type in descending order: environmental pollution incidents (with percentage of 52.34%, with probability of 1.0×10-2), fires (13.28%, 2.54×10-3), poisoning (10.16%, 1.95×10-3), collapses (8.59%, 1.65×10-3), other accidents (8.59%, 1.65×10-3), and explosions (7.03%, 1.35×10-3). Notably, Environmental pollution incidents were identified as the dominant accidents. To mitigate these risks, key measures include ensuring the quality of landfill engineering (such as seepage prevention system, drainage system and cover system et al.), improving leachate treatment facilities, enhancing landfill gas extraction and utilization, strict fire control, monitoring critical zones in real time, establishing emergency response systems, strengthening daily operational safety management, and promoting safety awareness.

municipal solid waste landfills  /  accident risk  /  accident probability  /  prevention measures  /  big data statistics
张琪琪, 张少东, 徐铃鸿, 韩智勇. 基于互联网大数据的中国生活垃圾填埋场事故风险统计概率研究. 中国环境科学, 2026 , 46 (2) : 1176 -1184 .
Qi-qi ZHANG, Shao-dong ZHANG, Ling-hong XU, Zhi-yong HAN. Statistical probability of accident risks of municipal solid waste landfills in China based on internet big data[J]. China Environmental Science, 2026 , 46 (2) : 1176 -1184 .
Year 2026 volume 46 Issue 2
95
12
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Article Info
  • Receive Date:2025-07-08
  • Online Date:2026-10-08
  • Published:2026-02-20
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  • Received:2025-07-08
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Affiliations
    1.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), Chengdu 610059, China
    2.State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution (Chengdu University of Technology), Chengdu 610059, China
    3.College of Ecology and Environment, Chengdu University of Technology, Chengdu 610059, China
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表12种不同金属材料的力学参数
科
Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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