ArticleEnvironmental science and pollution research international2020
Risk assessment for oil leakage under the common threat of multiple natural hazards.
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 73 citations in OpenAlex.
- Strengthening tropical cyclones are associated with more frequent hazardous material pipeline failures in the Eastern US.Scientific reports · 2025Article
- Time-Space Simulation, Health Risk Warning and Policy Recommendations of Environmental Capacity for Heavy Metals in the Pearl River Basin, China.International journal of environmental research and public health · 2022Article
- Study on Overpressure Propagation Law of Vapor Cloud Explosion under Different Building Layouts.ACS omega · 2021Article
- Construction land suitability assessment in rapid urbanizing cities for promoting the implementation of United Nations sustainable development goals: a case study of Nanchang, China.Environmental science and pollution research international · 2021Article
- Effects of additives on nitrogen transformation and greenhouse gases emission of co-composting for deer manure and corn straw.Environmental science and pollution research international · 2021Article
- Investigating an assessment model of system oil leakage considering failure dependence.Environmental science and pollution research international · 2020Article
- Investigating the development efficiency of the green economy in China's equipment manufacturing industry.Environmental science and pollution research international · 2020Article
- Fire risk assessment of high-rise buildings under construction based on unascertained measure theory.PloS one · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Petroleum industry can create enormous wealth and employment opportunities, which is one of the pillars of the national economy. The transportation conditions of petroleum products are complex and changeable. The natural disaster-induced dangerous chemical leakage may damage the ecological environment, which leads to substantial economic losses. It significantly undermines the sustainable development agenda. Therefore, assessing the possibility of leakage and the potential environmental damages becomes a primary task to decision-makers to formulate maintenance plans. This paper evaluated the risk of an oil pipeline leakage under the regional geological disasters. Specifically, risk assessment indicators system was established considering the common threat of multiple natural hazards in the region. The sensitivities of the influence factors were determined using the combined GIS and the contribution rate model. The fuzzy analysis approach was used to process the expert's judgment to obtain a real-time disaster hazard. Meanwhile, in terms of the analysis of pipeline failure causes, the assessment system of disaster resistance ability was developed to determine the possibility of leakage. The leakage-induced environmental losses were quantified by monetary quantification. Finally, the level of environmental risk was determined using a 5 × 5 probability-currency matrix. Case results show that the risk level is medium, thereby appropriate maintenance measures need to be taken to reduce the risk. Overall, this study provides necessary help to prevent the leakage of petroleum products in transportation. Also, the environmental risk presented in the form of currency can promote non-environmental professional risk decision-makers better understand the degree of risk.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.