Yang, Z.; Yan, X.; Tian, Y.; Pu, Z.; Wang, Y.; Li, C.; Yi, Y.; Wang, X.; Liu, Q. Risk Assessment of Sudden Water Pollution Accidents Associated with Dangerous Goods Transportation on the Cross-Tributary Bridges of Baiyangdian Lake. Water2023, 15, 2993.
Yang, Z.; Yan, X.; Tian, Y.; Pu, Z.; Wang, Y.; Li, C.; Yi, Y.; Wang, X.; Liu, Q. Risk Assessment of Sudden Water Pollution Accidents Associated with Dangerous Goods Transportation on the Cross-Tributary Bridges of Baiyangdian Lake. Water 2023, 15, 2993.
Yang, Z.; Yan, X.; Tian, Y.; Pu, Z.; Wang, Y.; Li, C.; Yi, Y.; Wang, X.; Liu, Q. Risk Assessment of Sudden Water Pollution Accidents Associated with Dangerous Goods Transportation on the Cross-Tributary Bridges of Baiyangdian Lake. Water2023, 15, 2993.
Yang, Z.; Yan, X.; Tian, Y.; Pu, Z.; Wang, Y.; Li, C.; Yi, Y.; Wang, X.; Liu, Q. Risk Assessment of Sudden Water Pollution Accidents Associated with Dangerous Goods Transportation on the Cross-Tributary Bridges of Baiyangdian Lake. Water 2023, 15, 2993.
Abstract
Sudden water pollution accident is a tough environmental challenge to solve due to its uncertainty, unpredictability and destructiveness. Therein, the dangerous goods transportation accidents on the cross-tributary bridges are increasing worldwide with the acceleration of industrialization and urbanization, posing threats to the water ecological environment and human health. To prevent and control the risk, this study evaluated the risk of sudden water pollution accidents associated with dangerous goods transportation on the cross-tributary bridges by using the expert judgment fuzzy language method and Bayesian network model. Baiyangdian lake as the largest freshwater shallow lake in North China was chosen as a study case. Different accident scenarios were simulated to put forward risk prevention and control measures. The results showed that the primary risk factors were divided into five categories: personnel factors, vehicle factors, tank factors, weather factors, and road environment factors. The probability of dangerous goods transportation accidents was a possible event (P=0.115), with a high risk level. Furthermore, the Baiyangdian lake would suffer from serious environmental pollution and water quality degradation without prevention and control measures by simulating the oil leakage accident. Therefore, emergency prevention and control measures are expected to be formulated and implemented before and after the occurrence of the sudden water pollution accidents. This study provides useful insights into risk prevention and control strategies for sudden water pollution accidents, and the framework can be made applicable to other rivers facing similar risk challenges worldwide.
Keywords
Sudden water pollution accident; Risk assessment; Bayesian network model; Dangerous goods transportation; The Baiyangdian lake
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
,
,
,
