Research and development of field theory-based three-dimensional risk assessment. Part II: Regional overall risk

风险评估 风险管理 风险管理工具 风险分析(工程) 计算机科学 数学 医学 业务 计算机安全 财务
作者
Fang Yan,Longjun Dong,Bing Wang,T. Hu,Junyi Ge
出处
期刊:Heliyon [Elsevier]
卷期号:9 (2): e13194-e13194 被引量:2
标识
DOI:10.1016/j.heliyon.2023.e13194
摘要

For three-dimensional (3D) risk assessments, the scalar fields of risk can be clarified so that the risk value at any point in 3D space can be obtained. Notably, the 3D risk function can be used to calculate the surface integral to reveal the overall risk level in a certain area. As a result, a novel field theory-based 3D risk assessment method called the regional overall risk assessment (RORA) is proposed in this study. The regional overall risk (ROR) is introduced to describe the overall risk level of the assessed area. The corresponding definition and algorithm of the ROR are determined. The selection rule of the surfaces, which are used to create the surface integrals and compute the ROR, is also provided and discussed. To demonstrate the effectiveness of the RORA, the 3D risk caused by biomass gasification stations is utilized to conduct a case study. For the assessed area (Huangtukan Village and Yanjia Village), values of ROR are 29.5787 and 39.3858, respectively. The results represent accurate overall risk levels of the assessed areas and can provide effective guidance for risk prevention in the assessed areas, including land-use planning and safety planning. Moreover, the validity and availability of the proposed RORA is verified by a sensitivity analysis. The prospects and limitations of the RORA are also analyzed and discussed in this work.
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