[1] 中华人民共和国生态环境部. 2017中国生态环境状况公报[R],2018. [2] 黄小莉,李仙德,温家洪,等. 极端洪灾情景下上海汽车制造业经济损失与波及效应评估[J]. 地理研究, 2017,36(9): 1 801-1 816. HUANG Xiaoli, LI Xiande, WEN Jiahong, et al. Measuring the economic losses and ripple effects of Shanghai automobile firms under extreme flood scenarios[J]. Geographical Research, 2017,36(9): 1 801-1 816. [3] AMATO A, COMPARE M, GALLISTO M, et al. Business interruption and loss of assets risk assessment in support of the design of an innovative concentrating solar power plant[J]. Renewable Energy, 2011, 36(5): 1 558-1 567. [4] GRAVELINE N, GREMONT M. Measuring and understanding the microeconomic resilience of businesses to lifeline service interruptions due to natural disasters[J]. International Journal of Disaster Risk Reduction, 2017,24(9): 526-538. [5] 刘彤彤.公共能源供应导致的营业中断风险评价模式研究[D].沈阳:沈阳航空航天大学,2016. LIU Tongtong. Research on risk assessment model of business interruption caused by public energy supply [D]. Shenyang: Shenyang Aerospace University,2016. [6] 任俞彦,吴穹. 制造业企业营业中断风险评价模型研究[J]. 沈阳航空航天大学学报, 2013,30(6): 82-87. REN Yuyan, WU Qiong. Study on assessment model about manufacturers' business interruption risk in China [J]. Journal of Shenyang Aerospace University, 2013,30(6): 82-87. [7] 罗军华,林孝松,牟凤云,等. 山区公路暴雨-洪水灾害链贝叶斯网络建模推理[J]. 中国安全科学学报,2018, 28(12): 1-6. LUO Junhua, LIN Xiaosong, MOU Fengyun, et al. Inference modeling of mountainous highway rainstorm-flood disaster chain based on Bayesian network [J]. China Safety Science Journal, 2018, 28(12): 1-6. [8] 陈群,黄骞,陈哲,等. 基于贝叶斯网络的地铁工程系统韧性评价[J]. 中国安全科学学报, 2018, 28(11): 98-103. CHEN Qun, HUANG Qian, CHEN Zhe, et al. Quantitative evaluation of resilience of metro engineering system based on Bayesian networks [J]. China Safety Science Journal, 2018, 28(11): 98-103. [9] ANDERSEN S K. Probabilistic reasoning in intelligent systems: networks of plausible inference[J]. Artificial Intelligence, 1991, 48(1): 117-124. [10] 陆莹,李启明,周志鹏. 基于模糊贝叶斯网络的地铁运营安全风险预测[J]. 东南大学学报:自然科学版, 2010, 40(5): 1 110-1 114. LU Ying, LI Qiming, ZHOU Zhipeng. Safety risk prediction of subway operation based on fuzzy Bayesian network [J]. Journal of Southeast University:Natural Science Edition, 2010,40(5): 1 110-1 114. [11] WICKENS C D. Engineering psychology and human performance(2nd Edition)[M]. New York: Harper Collins Publisher, 1992: 211-257. [12] GB/T 4754—2011, 国民经济行业分类[S]. GB/T 4754-2011, Classification of national economic industries[S]. [13] WANG W, SHEN K, WANG B, et al. Failure probability analysis of the urban buried gas pipelines using Bayesian networks[J]. Process Safety and Environmental Protection, 2017,111(10): 678-686. [14] ZAREI E, AZADEH A, KHAKZAD N, et al. Dynamic safety assessment of natural gas stations using Bayesian network [J].Journal of Hazardous Materials,2017, 321(1): 830-840. [15] MATELLIN D B, WALL A D, JENKINSON I D, et al. Modelling dwelling fire development and occupancy escape using Bayesian network[J]. Reliability Engineering and System Safety, 2013, 114(1): 75-91. |