Abstract：Rainstorm induced flooding greatly impacts the environment which leads to secondary events and complicates emergency responses. This study analyzes evaluation methods for rainstorm disasters in emerging disaster environments. An emergency decision-making method is developed for rainstorm disasters based on a Markov decision making model that considers the temporal and spatial characteristics of the rainstorm effects. The optimal decision-making strategy that gives the minimum disaster loss is identified by analyzing the rainstorm effects and environmental conditions in a single space along with the impact of various emergency responses. The results show that the spatiotemporal analysis of the rainstorm disaster scenarios based on the Markov decision making process can help decision makers adjust emergency response strategies as the conditions develop to minimize the losses through improved emergency decision-making.
[1] 姜波, 张超, 陈涛, 等. 基于Bayes网络的暴雨情景构建和演化方法[J]. 清华大学学报(自然科学版), 2021, 61(6):509-517. JIANG B, ZHANG C, CHEN T, et al. Construction and deduction of rainstorm disaster scenarios based on Bayesian networks[J]. Journal of Tsinghua University (Science and Technology), 2021, 61(6):509-517. [2] WALLEMACQ P, GUHA-SAPIR D, MCCLEAN D, et al. The human cost of weather related disasters:1995-2015[R]. New York, USA:The United Nations Office for Disaster Risk Reduction, 2015. [3] 应急管理部. 2020年全国十大自然灾害[EB/OL]. (2021-01-02)[2021-01-15]. https://www.mem.gov.cn/xw/yjglbgzdt/202101/t20210102_376288.shtml. Ministry of Emergency Management of the People's Republic of China. Ten natural disasters in 2020 in China[EB/OL]. (2021-01-02)[2021-01-15]. https://www.mem.gov.cn/xw/yjglbgzdt/202101/t20210102_376288.shtml. (in Chinese) [4] HORTON R E. Thunderstorm-breeding spots[J]. Monthly Weather Review, 1921, 49(4):193-194. [5] LANDSBERG H E. The climate of towns[M]//THOMAS W L JR, Ed. Man's role in changing the face of the earth. Chicago, USA:University of Chicago Press, 1956:584-606. [6] ATKINSON B W. A preliminary examination of the possible effect of London's urban area on the distribution of thunder rainfall 1951-60[J]. Transactions of the Institute of British Geographers, 1968(44):97-118. [7] CHANGNON S A JR. Rainfall changes in summer caused by St. Louis[J]. Science, 1979, 205(4404):402-404. [8] HUFF F A, VOGEL J L. Urban, topographic and diurnal effects on rainfall in the St. Louis region[J]. Journal of Applied Meteorology, 1978, 17(5):565-577. [9] CHANGNON S A. Inadvertent weather modification in urban areas:Lessons for global climate change[J]. Bulletin of the American Meteorological Society, 1992, 73(5):619-627. [10] BRUNI G, REINOSO R, VAN DE GIESEN N C, et al. On the sensitivity of urban hydrodynamic modelling to rainfall spatial and temporal resolution[J]. Hydrology and Earth System Sciences, 2015, 19(2):691-709. [11] HU H B. Spatiotemporal characteristics of rainstorm-induced hazards modified by urbanization in Beijing[J]. Journal of Applied Meteorology and Climatology, 2015, 54(7):1496-1509. [12] SHEPHERD J M. A review of current investigations of urban-induced rainfall and recommendations for the future[J]. Earth Interactions, 2005, 9(12):1-27. [13] 唐尧, 王立娟, 唐梓洋, 等. 基于"高分+应急监测"的"8·20"汶川暴雨灾害链灾情分析[J]. 国土资源信息化, 2020(3):22-27. TANG Y, WANG L J, TANG Z Y, et al. Disaster analysis of "8·20" Wenchuan rainstorm disaster chain based on "Gaofen + emergency monitoring"[J]. Land and Resources Informatization, 2020(3):22-27. (in Chinese) [14] 游海疆. 公众"微参与"与城市应急管理的耦合与提升:以厦门5·16特大暴雨为例[J]. 北京工业大学学报(社会科学版), 2015, 15(4):38-45. YOU H J. Research on micro-participation morden feature and its implications:Taking 5·16 Xiamen rainstorm for example[J]. Journal of Beijing University of Technology (Social Sciences Edition), 2015, 15(4):38-45. (in Chinese) [15] 殷杰. 基于高精度地形表面模型的城市雨洪情景模拟与应急响应能力评价[J]. 地理研究, 2017, 36(6):1138-1146. YIN J. Urban pluvial flood scenario modeling and emergency response assessment using high resolution Lidar-DSM[J]. Geographical Research, 2017, 36(6):1138-1146. (in Chinese) [16] 汪云, 迟菲, 陈安. 城市暴雨机理机制分析与应对策略的研究[J]. 广州公共管理评论, 2017(5):211-229, 308. WANG Y, CHI F, CHEN A. Mechanism analysis and countermeasure of urban heavy rainfall[J]. Guangzhou Public Management Review, 2017(5):211-229, 308. (in Chinese) [17] 杨灵娟. 基于SAM乘数模型的暴雨灾害间接经济损失评估[D]. 南京:南京信息工程大学, 2014. YANG L J. The indirect-economic losses assessment of rainstorm disasters:A SAM-based multiplier analysis[D]. Nanjing:Nanjing University of Information Science & Technology, 2014. (in Chinese) [18] 杨喆. 重庆市"2007·7"特大暴雨灾害对社会经济的影响及对策研究[D]. 重庆:西南大学, 2009. YANG Z. Research for influence of heavy rainstorm disaster to social economy and countermeasures of Chongqing in July 2007[D]. Chongqing:Southwest University, 2009. (in Chinese) [19] 李佳. 天津市气象灾害应急响应对策研究:以暴雨内涝为例[D]. 天津:天津师范大学, 2014. LI J. Countermeasures of meteorological disaster emergency response in Tianjin with an example from rainstorm waterlogging[D]. Tianjin:Tianjin Normal University, 2014. (in Chinese) [20] 胡文燕. 暴雨内涝和交通拥堵情景下急救医疗服务可达性与优化配置研究[D]. 上海:华东师范大学, 2019. HU W Y. Evaluation and optimal allocation of the accessibility of EMS under the pluvial flood and traffic congestion scenarios:A case study for inner-city of Shanghai[D]. Shanghai:East China Normal University, 2019. (in Chinese) [21] 赖雯洁. 暴雨内涝影响下城市应急服务可达性评价:基于人口和交通动态模拟[D]. 上海:华东师范大学, 2020. LAI W J. Accessibility of urban emergency service with the influence of pluvial flooding:Based on population and traffic simulation[D]. Shanghai:East China Normal University, 2020. (in Chinese) [22] 李梦雅. 暴雨内涝情景下城市通勤出行的暴露度与交通特征研究:以上海中心城区为例[D]. 上海:华东师范大学, 2019. LI M Y. Research on commuters' exposure to pluvial flash flooding and its impacts on the peak traffic features:A case study in central Shanghai[D]. Shanghai:East China Normal University, 2019. (in Chinese) [23] KEIFER C J, CHU H H. Synthetic storm pattern for drainage design[J]. Journal of the Hydraulics Division, 1957, 83(4):1-25. [24] 刘克, 曹平. 马尔可夫决策过程理论与应用[M]. 北京:科学出版社, 2015. LIU K, CAO P. Theory and application of Markov decision process[M]. Beijing:Science Press, 2015. (in Chinese) [25] 郭世贞. 折扣目标马氏决策的最优策略问题[J]. 经济数学, 1984(1):109-120. GUO S Z. The optimal policy problem of Markovian decision making with discounted objectives[J]. Mathematics in Economics, 1984(1):109-120. (in Chinese) [26] 施熙灿, 林翔岳, 梁青福, 等. 考虑保证率约束的马氏决策规划在水电站水库优化调度中的应用[J]. 水力发电学报, 1982(2):11-21. SHI X C, LIN X Y, LIANG Q F, et al. Application of reliability constrained Markovian decision programming in optimization of reservoir regulation of hydroelectric station[J]. Journal of Hydroelectric Engineering, 1982(2):11-21. (in Chinese)
2022, Vol. 62 
