基于暴雨内涝灾害情景推演的北京市应急救援方案评估与决策优化

doi:10.11821/dlxb201705004

地理学报 ›› 2017, Vol. 72 ›› Issue (5): 804-816.doi: 10.11821/dlxb201705004

基于暴雨内涝灾害情景推演的北京市应急救援方案评估与决策优化

孙超¹(), 钟少波¹, 邓羽²()

1. 清华大学工物系公共安全研究院,北京 100084
2. 中国科学院地理科学与资源研究所中国科学院区域可持续发展分析与模拟重点实验室,北京 100101

收稿日期:2016-03-29 修回日期:2016-12-10 出版日期:2017-05-20 发布日期:2017-07-13
作者简介:
作者简介：孙超(1986-), 男, 内蒙古呼和浩特人, 博士, 研究方向为城市灾害情景推演、应急演练方案评估、应急决策优化。E-mail: slayergod@163.com
基金资助:
国家自然科学基金项目(91224004);国家“十二五”科技支撑项目课题(2015BAK10B01, 2015BAK12B03)

Scenario deduction based emergency rescue plan assessment and decision optimization of urban rainstorm water-logging:A case study of Beijing

Chao SUN¹(), Shaobo ZHONG¹, Yu DENG²()

1. Department of Engineering Physics / Institute of Public Safety Research, Tsinghua University, Beijing 100084, China
2. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received:2016-03-29 Revised:2016-12-10 Online:2017-05-20 Published:2017-07-13
Supported by:
National Natural Science Foundation of China, No.91224004;National Science & Technology Pillar Program during the 12th Five-year Plan Period, No.2015BAK10B01, No.2015BAK12B03

摘要/Abstract

摘要：

城市自然灾害的情景推演与应急方案的动态预评估是优化应急决策的重要支撑。然而,传统的应急救援方案评估往往基于有限信息进行时间片段式的情景推演并采用应急方案的灾后评估。本文在构建基于内涝水淹模型和多智能体城市路况模型的全链条、多维度灾害情景推演方案的基础上,实施不同应急救援目标导向下多时间刻度的应急救援方案预评估,重点从受损车辆规模和遭受安全威胁人数定量评估基于救援人数、救援时间和救援空间布局原则的应急方案优劣,为灾害情景推演方案和应急决策优化提供了一种新的思路与解决方案。基于救援人数规模的应急方案表明,救援力量将优先布局在风险指数高企的区域,包括北蜂窝路、南蜂窝路、广莲路以及莲花桥等路段。在现实情况中及时参加的救援力量往往有限,此类根据不同救援力量数量的空间指向将对最优的救援决策起到关键作用。同时,研究也应证了救援力量多寡在应急事件处置中的基础性地位。基于救援启动时间的应急方案中得出,最优的救援启动时间在45 min到75 min之间,适时的救援启动可以有效规避过早启动导致的救援空间配置不当和过晚启动导致的救援失效两类问题。不同救援空间布局原则有着迥异的救援力量空间配置特点和最优运用条件。

关键词: 城市, 暴雨内涝, 情景推演, 应急方案评估, 决策优化

Abstract:

The scenario deduction and dynamic pre-assessment of urban natural disasters emergency plan play vital roles in emergency decision optimization. However, traditional plan assessments usually consist of scenario deduction of time slices and post-disaster assessment based on limited information. Based on the full-chained multi-dimensional scenario deduction plan coupled with water-logging model and multi-agent urban road condition model, this article conducts pre-assessment of emergency plan with multi time scales and rescuing targets. By examining the scale of damaged cars and the number of people threatened by the disaster, the assessment is performed regarding the quantity of people, time, and spatial arrangement of the plan. Based on this, the article provides a new solution in conducting disaster scenario deduction plan and optimizing emergency decisions. The emergency plan based on the number of people indicates that the rescuing force is firstly arranged at areas with higher risk, including North Fengwo Road, South Fengwo Road, Guanglian Road and Lianhua Bridge. In reality, only limited force participates in rescuing in time, and the spatial direction based on the number of force plays a vital role in optimizing rescue decision. Meanwhile, we also prove that the amount of rescue force stands for the fundamental position in emergency dispose. From the emergency plan based on the initiating time of rescue, it can be seen that the best initiating time is between 45 and 75 minutes, and the appropriate time of initiating can efficiently avoid the improper configuration of rescue space due to the premature rescue and the loss of efficacy when it starts too late. Different spatial arrangements of rescue could lead to different rescue force arrangement features and optimized conditions.

Key words: city, rainstorm water-logging, scenario deduction, assessment of emergency plan, decision optimization

孙超, 钟少波, 邓羽. 基于暴雨内涝灾害情景推演的北京市应急救援方案评估与决策优化[J]. 地理学报, 2017, 72(5): 804-816.

Chao SUN, Shaobo ZHONG, Yu DENG. Scenario deduction based emergency rescue plan assessment and decision optimization of urban rainstorm water-logging:A case study of Beijing[J]. Acta Geographica Sinica, 2017, 72(5): 804-816.

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参考文献 34

[1]	IPCC. Summary for policymakers//Stocker T F, Qin D, Plattner G-Ket al. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 2013.
[2]	Shi Peijun.Theory on disaster science and disaster dynamics. Journal of Natural Disasters, 1996, 5(4): 6-14. doi: 10.3969/j.issn.1004-4574.2002.03.001
	[史培军. 再论灾害研究的理论与实践. 自然灾害学报, 1996, 5(4): 6-14.] doi: 10.3969/j.issn.1004-4574.2002.03.001
[3]	Shi Peijun.Theory on disaster science and disaster dynamics. Journal of Natural Disasters, 2002, 11(3): 1-9.
	[史培军. 三论灾害研究的理论与实践. 自然灾害学报, 2002, 11(3): 1-9.]
[4]	Wang Jing'ai, Shi Peijun, Wang Ping, et al. Spatial-temporal Pattern of Natural Disasters in China. Beijing: Science Press, 2006.
	[王静爱, 史培军, 王平, 等. 中国自然灾害的时空格局. 北京: 科学出版社, 2006.]
[5]	Ma Zongjin.The Momentous Natural Disasters and Reduction Action: General Remarks. Beijing: Science Press, 1994.
	[马宗晋. 中国重大自然灾害及减灾对策: 总论. 北京: 科学出版社, 1994.]
[6]	Hu Aijun, Li Ning, Zhu Yande, Wu Jidong, et al.Integrated risk governance paradigm for meteorological disasters: Thoughts on the low-temperature freezing rain and snow disaster in southern China of 2008. Progress in Geography, 2010, 29(2): 159-165. doi: 10.11820/dlkxjz.2010.02.005
	[胡爱军, 李宁, 祝燕得, 等. 论气象灾害综合风险防范模式: 2008年中国南方低温雨雪冰冻灾害的反思. 地理科学进展, 2010, 29(2): 159-165.] doi: 10.11820/dlkxjz.2010.02.005
[7]	Zhao Sijian, Huang Chongfu, Guo Shujun.Scenario-driven risk analysis of regional natural disasters. Journal of Natural Disasters, 2012, 21(1): 9-17.
	[赵思健, 黄崇福, 郭树军. 情景驱动的区域自然灾害风险分析. 自然灾害学报, 2012, 21(1): 9-17.]
[8]	Yin Zhan'e, Xu Shiyuan, Yin Jie, et al. Small-scale based scenario modeling and disaster risk assessment of urban rainstorm water-logging. Acta Geo graphica Sinica, 2010, 65(5): 553-562. doi: 10.11821/xb201005005
	[尹占娥, 许世远, 殷杰, 等. 基于小尺度的城市暴雨内涝灾害情景模拟与风险评估. 地理学报, 2010, 65(5): 553-562.] doi: 10.11821/xb201005005
[9]	Leveson N.A new accident model for engineering safer systems. Safety Science, 2004, 42(4): 237-270. doi: 10.1016/S0925-7535(03)00047-X
[10]	Burstedde C, Klauck K, Schadschneider A, et al.Simulation of pedestrian dynamics using a two-dimensional cellular automaton. Physica A Statistical Mechanics & Its Applications, 2001, 295(3): 507-525. doi: 10.1016/S0378-4371(01)00141-8
[11]	Song Chengcheng, Li Mengya, Wang Jun et al. Simulation of typhoon storm surge impacts in Shanghai based on storm surgescenarios and disaster prevention measures. Progress in Geography, 2014, 33(12): 1692-1703. doi: 10.11820/dlkxjz.2014.12.013
	[宋城城, 李梦雅, 王军, 等. 基于复合情景的上海台风风暴潮灾害危险性模拟及其空间应对. 地理科学进展, 2014, 33(12): 1692-1703.] doi: 10.11820/dlkxjz.2014.12.013
[12]	Waugh W L, Sylves R T.Organizing the war on terrorism. Public Administration Review, 2002, 62(Suppl.): 145-153. doi: 10.1111/1540-6210.62.s1.24
[13]	Hu Beibei, Zhou Jun, Wang Jun, et al.Risk assessment on rainstormwaterlogging of Tianjin Binhai New Area based on scenario simulation. Scientia Georaphica Sinica, 2012, 32(7): 846-852.
	[胡蓓蓓, 周俊, 王军, 等. 基于情景模拟的天津市滨海新区2020年暴雨内涝风险评估. 地理科学, 2012, 32(7): 846-852.]
[14]	Wang Huimin, Liu Gaofeng, Tong Jinping, et al.Study on dynamic emergency decision-making model of unconventional water disaster. Soft Science, 2012(1): 20-24.
	[王慧敏, 刘高峰, 佟金萍, 等.非常规突发水灾害事件动态应急决策模式探讨. 软科学, 2012(1): 20-24.]
[15]	Dai Juan, Pan Yinong, Liu Qing, et al.Application of improved AHP in county-scale rainstorm and flood risk assessment. Journal of the Meteorological Sciences, 2014, 34(4): 428-434.
	[戴娟, 潘益农, 刘青, 等. 改进的AHP在县域尺度暴雨洪涝风险评价的应用. 气象科学, 2014, 34(4): 428-434.]
[16]	Chen Mingxian, Shen Feimin.Emergency resource evaluation of subsea tunnel fire based onscenario evolvement and catastrophe progression. Journal of Fuzhou University (Natural Science Edition), 2015, 43(6): 869-874. doi: 10.7631/issn.1000-2243.2015.06.0869
	[陈明仙, 沈斐敏. 基于情景演变和突变级数的海底隧道火灾应急资源评价. 福州大学学报(自然科学版), 2015, 43(6): 869-874.] doi: 10.7631/issn.1000-2243.2015.06.0869
[17]	Cheng Conghui, Guo Junhua.Process and "Human-machine" interaction path of the case-based reasoning for decision-making of sudden incidents. Forum on Science and Technology in China, 2015, 12: 51-56. doi: 10.3969/j.issn.1002-6711.2015.12.010
	[程聪慧, 郭俊华. 基于案例推理的应急决策过程及其“人—机”交互机理. 中国科技论坛, 2015, 12: 51-56.] doi: 10.3969/j.issn.1002-6711.2015.12.010
[18]	Ge Honglei, Liu Nan.A stochastic programming model for relief resources allocation problem based on complex disaster scenarios. Systems Engineering: Theory & Practice, 2014, 34(12): 3034-3042.
	[葛洪磊, 刘南. 复杂灾害情景下应急资源配置的随机规划模型. 系统工程理论与实践, 2014, 34(12): 3034-3042.]
[19]	Du Hongbin, Li Hui, Yuan Leping, et al.Risk assessment model for air traffic control based on Fuzzy-ANP method. China Safety Science Journal, 2010, 20(12): 79-85.
	[杜红兵, 李晖, 袁乐平, 等. 基于Fuzzy-ANP的空管安全风险评估研究. 中国安全科学学报, 2010, 20(12): 79-85.]
[20]	Zhao Shuping, Liang Changyong, Qi Xiaowen, et al.A group decision making method for emergency facility location for disruptions in urban areas. Journey of Systems & Management. 2014, 23(6): 810-818.
	[赵树平, 梁昌勇, 戚筱雯, 等. 城市突发事件的应急设施选址群决策方法. 系统管理学报, 2014, 23(6): 810-818.]
[21]	Schmid V, Doerner K F.Ambulance location and relocation problems with time-dependent travel times. European Journal of Operational Research, 2010, 207(3): 1293-1303. doi: 10.1016/j.ejor.2010.06.033 pmid: 21151327
[22]	Shariff S S, Moin N H, Omar M.Location allocation modeling for healthcare facility planning in Malaysia. Computer & Industrial Engineering, 2012, 62(4): 1000-1100. doi: 10.1016/j.cie.2011.12.026
[23]	Xu Zhixin, Xi Shuren, Qu Jingyuan.Multi-attribute analysis of nuclearreactor accident emergency decision making. Tsinghua University (Science & Technology), 2008(3): 445-448. doi: 10.3321/j.issn:1000-0054.2008.03.035
	[徐志新, 奚树人, 曲静原.核事故应急决策的多属性效用分析方法. 清华大学学报(自然科学版), 2008(3): 445-448.] doi: 10.3321/j.issn:1000-0054.2008.03.035
[24]	Ren Xuehui, Wang Yue.Designing in the system of precaution and emergency rescue decision for touring safety accidents of coastal city. Progress in Geography, 2005, 24(4): 123-128. doi: 10.3969/j.issn.1007-6301.2005.04.014
	[任学慧, 王月. 滨海城市旅游安全预警与事故应急救援系统设计. 地理科学进展, 2005, 24(4): 123-128.] doi: 10.3969/j.issn.1007-6301.2005.04.014
[25]	Huang Chao, Huang Quanyi, Shen Shifei, et al.Representation of emergency case information. Journal of Tsinghua University (Science & Technolgy), 2014, 54: 149-152, 158.
	[黄超, 黄全义, 申世飞, 等. 突发事件案例表示方法. 清华大学学报(自然科学版), 2014, 54: 149-152, 158.]
[26]	Plate E J.Flood risk and flood management. Journal of Hydrology, 2002, 267(s1/2): 2-11. doi: 10.1016/S0022-1694(02)00135-X
[27]	Liu Jun, Guo Liang-hui, Zhang Jiantao, et al.Study on simulation of drainage and flooding in urban areas of Shanghai based on improved SWMM. China Water & Wastewater, 2006, 22(21): 64-70. doi: 10.3321/j.issn:1000-4602.2006.21.017
	[刘俊, 郭亮辉, 张建涛, 等. 基于SWMM模拟上海市区排水及地面淹水过程. 中国给水排水, 2006, 22(21): 64-70.] doi: 10.3321/j.issn:1000-4602.2006.21.017
[28]	J Gironás, LA Roesner, LA Rossman, et al. A new applications manual for the Storm Water Management Model (SWMM). Environmental Modelling & Software, 2010, 25(6): 813-814. doi: 10.1016/j.envsoft.2009.11.009
[29]	Zhang Zhiyong.Car-following theory in urban expressway [D].Beijing: Beijing University of Technology, 2002.
	[张智勇. 城市快速道路车辆跟驰模型研究[D]. 北京: 北京工业大学, 2002.]
[30]	Wang Yongsheng.Claim Survey and Damage Assessment of Vehicles. Beijing: China Machine Press, 2007.
	[王永盛. 车险理赔查勘与定损. 北京: 机械工业出版社. 2007.]
[31]	Wang Wenjun, Zhu Hua.Rescue and driving of the wading car. Science & Technology Information, 2012(8): 426-427. doi: 10.3969/j.issn.1001-9960.2012.08.379
	[王文军, 朱华. 汽车涉水行驶及其施救方法. 科技信息, 2012(8): 426-427.] doi: 10.3969/j.issn.1001-9960.2012.08.379
[32]	Zografos K G, Androutsopoulos K N, Vasilakis G M.A real-time decision support system for roadway network incident response logistics. Transportation Research. Part C,Emerging Technologies. 2002, 10(1): 1-18.
[33]	Ana Paula Iannoni, Reinaldo Morabito, Cem Saydam.An optimization approach for ambulance location and the districting of the response segments on highways. European Journal of Operational Research. 2009, 104(2): 528-542. doi: 10.1016/j.ejor.2008.02.003
[34]	Liu Zhong-tie, Xie Yi, Gao Yan, et al.Research on the efficiency of police power resource disposition based on the DEA model. Journal of People's Public Security University of China (Social Sciences Edition), 2015, 6: 58-64.
	[刘忠铁, 解易, 高岩, 等. 基于DEA模型的警力资源配置效率研究. 中国人民公安大学学报(社会科学版), 2015, 6: 58-64.]

基于暴雨内涝灾害情景推演的北京市应急救援方案评估与决策优化

Scenario deduction based emergency rescue plan assessment and decision optimization of urban rainstorm water-logging:A case study of Beijing

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