灾害演化网络时序性风险评估模型

doi:10.16265/j.cnki.issn1003-3033.2021.03.024

摘要/Abstract

摘要： 为探究灾害演化过程中风险的时变特征和时序性风险评估的可行性,采用灾害演化理论和方法,综合考虑灾害链式效应、灾害后果时变性和政府干预等因素,首先,建立由灾害损失度、灾害发生概率、灾害直接风险和灾害综合风险共4个子模型构成的灾害演化网络时序性风险评估模型;然后,通过数值算例验证该模型的可行性;最后,分析所提模型的优越性。研究结果表明:所提模型可评估灾害演化网络直接风险和综合风险水平及其动态变化趋势;可分析得到灾害演化网络中关键节点高风险出现时机以及持续时间等风险时变特征。

关键词: 灾害演化网络, 时序性, 风险评估, 直接风险, 综合风险

Abstract: In order to explore time-varying characteristics of risk during disaster evolution and feasibility of time-series risk assessment, such an assessment model for disaster evolution network was firstly constructed by adopting disaster evolution theory and methods. The model was mainly composed of four sub-models, including disaster loss degree, disaster occurrence probability, disaster direct risk and comprehensive risk based on factors like chain effects of disaster, time-varying consequences and government intervention. Then, the model's feasibility was verified through numerical examples. Finally, its superiority was analyzed. The results show that the constructed model could not only evaluate direct and comprehensive risk for disaster evolution network and obtain their dynamic change trend, but also analyze high-risk occurrence time and duration of key nodes in the network.

Key words: disaster evolution network, time-varying character, risk assessment, direct risk, comprehensive risk

中图分类号:

X915.5

赵冬月, 陈长坤, 易亮. 灾害演化网络时序性风险评估模型[J]. 中国安全科学学报, 2021, 31(3): 171-177.

ZHAO Dongyue, CHEN Changkun, YI Liang. Time-series risk assessment model for disaster evolution network[J]. China Safety Science Journal, 2021, 31(3): 171-177.

参考文献

[1] 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, MU 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.
[2] 胡晓辉, 盛书中, 万永革, 等. 2019年6月17日四川长宁地震序列震源机制与震源区震后构造应力场研究[J]. 地球物理学进展, 2020,35(5): 1 675-1 681.
HU Xiaohui, SHENG Shuzhong, WAN Yongge, et al. Study on focal mechanism and post-seismic tectonic stress field of the Changning, Sichuan, earthquake sequence on June 17th 2019[J]. Progress in Geophysics, 2020,35(5): 1 675-1 681.
[3] ZHARIKOVA M, SHERSTJUK V. Situation diagnosis based on the spatially-distributed dynamic disaster risk assessment[C]. Advances in Intelligent Systems and Computing, 2019, 453-472.
[4] SILVA-ARAYA W F, SANTIAGO-COLLAZO F L, GONZALEZ-LOPEZ J, et al. Dynamic modeling of surface runoff and storm surge during hurricane and tropical storm events[J].Hydrology, 2018,5(1): 13-40.
[5] ROOSA K, LEE Y, LUO Ruiyan, et al. Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020[J]. Infectious Disease Modelling, 2020,5: 256-263.
[6] 邱泽阳, 梁伟, 王雪, 等. 油气输送动设备实时定量风险评估模型[J]. 中国安全科学学报, 2020,30(2): 106-112.
QIU Zeyang, LIANG Wei, WANG Xue, et al. Real-time quantitative risk assessment model of oil and gas transmission rotating equipment[J]. China Safety Science Journal, 2020,30(2): 106-112.
[7] 杜志强, 王叁, 张叶廷. 接入实时降雨数据的暴雨型洪涝灾害临灾预警方法[J]. 地理信息世界, 2017,24(1): 97-102.
DU Zhiqiang, WANG San, ZHANG Yeting. Temporary precaution method for rainstorm-type flood disaster with real-time rainfall data[J]. Geomatics World, 2017,24(1): 97-102.
[8] 刘灵芝. 基于时序蒙特卡罗方法的某铬盐场污染地下水泄漏风险研究[D].长沙:湖南大学, 2014.
LIU Lingzhi. Studying on the leakage risk of contaminated groundwater of a chromium salt based on Sequential Monte Carlo method[D]. Changsha: Hunan University, 2014.
[9] MARLEEN C de Ruiter, ANAÏ S Couasnon, MARC J C van den Homberg, et al. Why we can no longer ignore consecutive disasters[J]. Earths Future, 2020,8(3): 17-36.
[10] 翁文国, 倪顺江, 申世飞, 等. 复杂网络上灾害蔓延动力学研究[J]. 物理学报, 2007,56(4): 1 938-1 943.
WENG Wenguo, NI Shunjiang, SHEN Shifei, et al. Dynamics of disaster spreading in complex networks[J]. Acta Physica Sinica, 2007,56(4): 1 938-1 943.
[11] CHEN Changkun, LI Zhi, SUN Yunfang. A new model for describing evolution and control of disaster system including instantaneous and continuous actions[J]. International Journal of Modern Physics C, 2010,21(3):307-332.
[12] 哈斯, 张继权, 佟斯琴, 等. 灾害链研究进展与展望[J]. 灾害学, 2016,31(2): 131-138.
HA Si, ZHANG Jiquan, TONG Siqin, et al. Progress and prospect of the research on disaster chain[J]. Journal of Catastrophology, 2016,31(2): 131-138.
[13] 李智. 基于复杂网络的灾害事件演化与控制模型研究[D]. 长沙:中南大学, 2010.
LI Zhi. Research on evolution law and control mechanism for the disaster system based on dynamics theory of complex network[D]. Changsha: Central South University, 2010.
[14] 尚志海, 刘希林. 自然灾害风险管理关键问题探讨[J]. 灾害学, 2014, 29(2):158-164.
SHANG Zhihai, LIU Xilin. Discussion on the key problems of natural disaster risk management[J]. Journal of Catastrophology, 2014,29(2):158-164.
[15] 徐志胜, 姜学鹏. 安全系统工程[M]. 北京:机械工业出版社, 2012: 114-136.
[16] 朱秀段, 黄茂林. 基于蒙特卡洛法的大型公共建筑造价风险评估[J]. 山西建筑, 2016,42(14):214-216.
ZHU Xiuduan, HUANG Maolin. The Monte Carlo method of large public building's cost risk assessment[J]. Shanxi Architecture, 2016,42(14):214-216.
[17] 赵冬月, 施波, 陈以琴, 等. 协同管理对城市韧性增强机制的影响[J]. 管理评论, 2016,28(8): 207-214.
ZHAO Dongyue, SHI Bo, CHEN Yiqin, et al. Effect of collaborative management on enhancement mechanism of urban resilience[J]. Management Review, 2016,28(8): 207-214.
[18] LI Jian, CHEN Changkun. Modeling the dynamics of disaster evolution along causality networks with cycle chains[J]. Physica A Statistical Mechanics & Its Applications, 2014,401:251-264.
[19] 袁湘玲, 周倩, 王振会, 等. 雷电灾害风险分级方法研究[J]. 灾害学, 2017,32(1): 26-31.
YUAN Xiangling, ZHOU Qian, WANG Zhenhui, et al. A study on the lightning disaster risk grading methods[J]. Journal of Catastrophology, 2017,32(1): 26-31.
[20] 刘爱华. 城市灾害链动力学演变模型与灾害链风险评估方法的研究[D]. 长沙:中南大学, 2013.
LIU Aihua. Research on the dynamics evolution model of urban disaster chain and the risk assessment method of disaster chain[D]. Changsha: Central South University, 2013.
[21] 荣莉莉,刘玙婷. 基于承灾体的区域灾害链风险评估模型[J]. 系统工程学报, 2019,34(1): 130-144.
RONG Lili, LIU Yuting. Modeling the evaluation for regional disaster chain risk based on elements at risk[J]. Journal of System Engineering, 2019,34(1): 130-144.
[22] 叶金玉. 基于多维矩阵的台风灾害链综合风险评估模型及其信息图谱表达[D]. 福州:福建师范大学, 2015.
YE Jinyu. Typhoon disaster chains integrated risk assessment model and information tupu based on multi-dimensional matrix[D]. Fuzhou: Fujian Normal University, 2015.
[23] 张卫星, 周洪建. 灾害链风险评估的概念模型:以汶川5·12特大地震为例[J]. 地理科学进展, 2013,32(1): 130-138.
ZHANG Weixing, ZHOU Hongjian. Conceptual model of disaster chain risk assessment: taking Wenchuan earthquake on 12 May 2008 as a case[J]. Progress in Geography, 2013,32(1): 130-138.
[24] 王翔. 区域灾害链风险评估研究[D]. 大连:大连理工大学, 2011.
WANG Xiang. Research on risk assessment of regional disaster chain[D]. Dalian: Dalian University of Technology, 2011.