An model for evaluating urban resilience to rainstorm flood disasters

doi:10.16265/j.cnki.issn1003-3033.2018.04.001

Abstract

Abstract: In order to quantitatively assess the city's ability to cope with rainstorm flood disasters, the authors devoted themselves to building an evaluation model based on resilient theories and TOPSIS. An urban resilience evaluation index system containing 3 first level indexes and 25 secondary indexes was established after considering the three attributes of resilience: resistance, recovery capability and adaptive capacity. Based on TOPSIS improved by KL formula, the KL-TOPSIS comprehensive evaluation model of urban resilience was built. The relevant data on Wuhan city from 2009 to 2015 were taken as an example, this model was used to evaluate the Wuhan urban resilience to rainstorm flood disasters. The result shows the model can give the level changes of urban resilience, resistance, recovery capability and adaptive capacity in a certain period of time, and that based on the comparative analysis of these, the weak link in the city to cope with rainstorm flood disasters can be found out, and the strengthening-resilience suggestions can be put forward.

Key words: urban resilience, evaluation of resilience, Kullback-Leibler(KL) distance, rainstorm flood disasters, technique for order preference by similarity to ideal solution(TOPSIS)

CLC Number:

X915.5

CHEN Changkun, CHEN Yiqin, SHI Bo, XU Tong. An model for evaluating urban resilience to rainstorm flood disasters[J]. China Safety Science Journal, 2018, 28(4): 1-6.

References

[1] LEICHENKO R. Climate change and urban resilience [J]. Current Opinion in Environmental Sustainability, 2011, 3(3): 164-168.
[2] SOLECKI W, LEICHENKO R, O' BRIEN K. Climate change adaptation strategies and disaster risk reduction in cities: connections, contentions and synergies [J]. Current Opinion in Environmental Sustainability, 2011, 3(3): 135-141.
[3] QASIM S, QASIM M, SHRESTHA R P, et al. Community resilience to flood hazards in Khyber Pukhthunkhwa province of Pakistan [J]. International Journal of Disaster Risk Reduction, 2016, 18: 100-106.
[4] ORENCIO P M, FUJII M. A localized disaster-resilience index to assess coastal communities based on an analytic hierarchy process (AHP) [J]. International Journal of Disaster Risk Reduction, 2013, 3(1): 62-75.
[5] 李亚, 翟国方. 我国城市灾害韧性评估及其提升策略研究[J]. 规划师, 2017, 33(8): 5-11.
LI Ya, ZHAI Guofang. China's urban disaster resilience evaluation and promotion [J]. Planners, 2017, 33(8): 5-11.
[6] YE Fei, LI Yina. An extended TOPSIS model based on the possibility theory under fuzzy environment [J]. Knowledge-Based Systems, 2014, 67(3): 263-269.
[7] 王绍玉,刘佳. 城市洪水灾害易损性多属性动态评价[J]. 水科学进展,2012,23(3): 334-340.
WANG Shaoyu, LIU Jia. Multi-attribute dynamic evaluation of urban flood disaster vulnerability [J]. Advance in Water Science, 2012, 23(3): 334-340.
[8] 张永领,杨晓慧. 应急资源动员点的选择模型研究[J]. 中国安全科学学报,2016,26(3): 162-168.
ZHANG Yongling, YANG Xiaohui. Research on model for selecting emergency resource mobilization points [J]. China Safety Science Journal, 2016, 26(3): 162-168.
[9] 贾宝山, 尹彬, 王翰钊,等. AHP耦合TOPSIS的煤矿安全评价模型及其应用[J]. 中国安全科学学报, 2015, 25(8): 99-105.
JIA Baoshan, YIN Bin, WANG Hanzhao, et al. AHP coupled TOPSIS-based model for evaluating coal mine safety and its application [J]. China Safety Science Journal, 2015, 25(8): 99-105.
[10] ALEXANDER D E. Resilience and disaster risk reduction: an etymological journey [J]. Natural Hazards and Earth System Science, 2013, 13(11): 2 707-2 716.
[11] HOLLING C S. Resilience and stability of ecological systems [J]. Annual Review of Ecology and Systematics,1973, 4(4): 1-23.
[12] 颜峻, 左哲. 自然灾害风险评估指标体系及方法研究[J]. 中国安全科学学报,2010,20(11): 61-65.
YAN Jun, ZUO Zhe. Research on natural disaster risk assessment index system and method [J]. China Safety Science Journal, 2010, 20(11): 61-65.
[13] JOERIN J, SHAW R, TAKEUCHI Y, et al. Assessing community resilience to climate-related disasters in Chennai, India [J]. International Journal of Disaster Risk Reduction, 2012, 1(1): 44-54.
[14] CUTTER S L, BARNES L, BERRY M, et al. Community and regional resilience: perspective from hazards, disasters and emergency [J]. Community and Regional Resilience Initiative, Tennessee, 2008, 1(7): 383-398.
[15] JABAREEN Y. Planning the resilient city: concepts and strategies for coping with climate change and environmental risk [J]. Cities, 2013, 31(2): 220-229.
[16] 周艺南,李保炜. 循水造形:雨洪韧性城市设计研究 [J]. 规划师,2017,33(2): 90-97.
ZHOU Yi'nan, LI Baowei. Resilient urban design for flood control [J]. Planners, 2017, 33(2): 90-97.
[17] 高敏雪,穆旖旎. 《中国统计年鉴》:政府统计窗口建设的回顾与展望 [J]. 统计研究,2012,29(8): 38-43.
GAO Minxue, MU Yini. China statistical yearbook: retrospect and prospect of construction on the window of governmentStatistics [J]. Statistical Research, 2012, 29(8): 38-43.
[18] 胡永宏. 对TOPSIS法用于综合评价的改进[J]. 数学的实践与认识, 2002, 32(4): 572-575.
HU Yonghong. The improved method for TOPSIS in comprehensive evaluation [J]. Mathematics in Practice and Theory, 2002, 32(4): 572-575.
[19] SAATY T L, VARGAS L G. Models, methods, concepts and applications of the analytic hierarchy process [J]. International, 2012, 7(2): 159-172.
[20] 湖北省统计局. 武汉市统计年鉴 [EB/OL]. [2017-12-20]http://www.stats-hb.gov.cn/info/iList.jsp?cat_id=10436.
[21] 武汉市水务局. 武汉市水资源公报 [EB/OL]. [2017-12-20]http://www.whwater.gov.cn/water/szyt/index.jhtml.
[22] 湖北省人民政府. 湖北省人民政府关于印发武汉城市圈资源节约型和环境友好型社会建设综合配套改革试验总体方案的通知 [EB/OL]. [2017-12-20]http://www.tianmen.gov.cn/root10/szbm/0002/200907/t20090722_60548.html.
[23] 区人大常委会办公室. 武汉市中心城区湖泊“三线一路”保护规划 [EB/OL].[2017-12-20].http://www.hprdw.gov.cn/html/2017-05/077634268099.html.