Urban resilience assessment model for waterlogging disasters and its application

LI Zhengzhao; FU Dafang; WANG Junxian; MIN Kedong; ZHANG Junyu

doi:10.16511/j.cnki.qhdxxb.2021.22.037

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Journal of Tsinghua University(Science and Technology) ›› 2022, Vol. 62 ›› Issue (2) : 266-276. DOI: 10.16511/j.cnki.qhdxxb.2021.22.037

SPECIAL SECTION:DISASTER PREVENTION AND MITIGATION

Urban resilience assessment model for waterlogging disasters and its application

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Abstract

In traditional disaster prevention and mitigation analyses, risk assessments for waterlogging disasters usually only consider the infrastructure resilience and natural conditions such as weather and terrain. However, with the development of resilience theory, risk assessment and countermeasures should also include flood prevention and control, emergency responses and post-disaster recovery by the government and residents. This paper presents a set of indicators for evaluating the ability of cities to deal with waterlogging disasters, including 41 basic indicators covering 13 aspects incorporated into a resilience assessment model. The resilience assessment model is then applied to Kunshan, a low lying city in Jiangsu Province, China. The results show that the Kunshan High-Tech Zone has the best resilience and the strongest ability to deal with waterlogging disasters. The index system and model evaluation results are used to develop a targeted improvement strategy for areas with poor resilience to waterlogging disasters.

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disaster prevention / waterlogging disasters / urban resilience / resilience assessment

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LI Zhengzhao, FU Dafang, WANG Junxian, MIN Kedong, ZHANG Junyu. Urban resilience assessment model for waterlogging disasters and its application[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(2): 266-276 https://doi.org/10.16511/j.cnki.qhdxxb.2021.22.037

References

[1] CHEN H L, CHEN G, DING G P. Risk evaluation of regional flood disaster based on GIS[J]. Yangtze River, 2003, 34(6):49-51. (in Chinese)陈华丽, 陈刚, 丁国平. 基于GIS的区域洪水灾害风险评价[J]. 人民长江, 2003, 34(6):49-51.
[2] MOTESHARREI S, RIVAS J, KALNAY E, et al. Modeling sustainability:Population, inequality, consumption, and bidirectional coupling of the earth and human systems[J]. National Science Review, 2016, 3(4):470-494.
[3] The Rockefeller Foundation. City resilience framework:The Rockefeller Foundation[R/OL].[2021-03-15]. https://www.rockefellerfoundation.org/report/city-resilience-framework/.
[4] HUANG H, LI R Q, YU F C, et al. Discussion on several issues in the construction of safety and resilience city[J]. Journal of Wuhan University of Technology (Information & Management Engineering), 2020, 42(2):93-97. (in Chinese)黄弘, 李瑞奇, 于富才, 等. 安全韧性城市构建的若干问题探讨[J]. 武汉理工大学学报(信息与管理工程版), 2020, 42(2):93-97.
[5] LI R Q, HUANG H, ZHOU R. Resilience curve modelling of urban safety resilience[J]. Journal of Tsinghua University (Science and Technology), 2020, 60(1):1-8. (in Chinese)李瑞奇, 黄弘, 周睿. 基于韧性曲线的城市安全韧性建模[J]. 清华大学学报(自然科学版), 2020, 60(1):1-8.
[6] CHEN C K, CHEN Y Q, SHI B, et al. A model for evaluating urban resilience to rainstorm flood disasters[J]. China Safety Science Journal, 2018, 28(4):1-6. (in Chinese)陈长坤, 陈以琴, 施波, 等. 雨洪灾害情境下城市韧性评估模型[J]. 中国安全科学学报, 2018, 28(4):1-6.
[7] ZHENG Y, ZHAI J Q, WU Z Y, et al. A typology analysis on resilient cities based on adaptive cycle:Taking cases of Chinese sponge cities and climate resilient cites pilot projects[J]. China Population, Resources and Environment, 2018, 28(3):31-38. (in Chinese)郑艳, 翟建青, 武占云, 等. 基于适应性周期的韧性城市分类评价:以我国海绵城市与气候适应型城市试点为例[J]. 中国人口·资源与环境, 2018, 28(3):31-38.
[8] CHENG Y. Urban resilience assessment and planning path exploration to adapt to rainstorm climate:By the example of Shaanxi[D]. Xi'an:Northwestern University, 2019. (in Chinese)程元. 适应暴雨气候的城市韧性评价及规划路径探索:以陕西省为例[D]. 西安:西北大学, 2019.
[9] BALICA S F, WRIGHT N G, VAN DER MEULEN F. A flood vulnerability index for coastal cities and its use in assessing climate change impacts[J]. Natural Hazards, 2012, 64(1):73-105.
[10] ROSENZWEIG C, SOLECKI W. Hurricane Sandy and adaptation pathways in New York:Lessons from a first-responder city[J]. Global Environmental Change, 2014, 28:395-408.
[11] MUGUME S N, GOMEZ D E, FU G T, et al. A global analysis approach for investigating structural resilience in urban drainage systems[J]. Water Research, 2015, 81:15-26.
[12] 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, 3:62-75.
[13] 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.
[14] LI T Y. New progress in study on resilient cities[J]. Urban Planning International, 2017, 32(5):15-25. (in Chinese)李彤玥. 韧性城市研究新进展[J]. 国际城市规划, 2017, 32(5):15-25.
[15] JIANG Y X. Studies on resilience community evaluation system and improvement strategies on an approach of flood disasters[D]. Tianjin:Tianjin University, 2018. (in Chinese)姜宇逍. 雨洪防涝视角下韧性社区评价体系及优化策略研究[D]. 天津:天津大学, 2018.
[16] QIU T, CHEN X S, SU D. Comprehensive, resilient disaster and pandemic prevention construction framework for urban underground spaces[J]. Journal of Tsinghua University (Science and Technology), 2021, 61(2):117-127. (in Chinese)邱桐, 陈湘生, 苏栋. 城市地下空间综合韧性防灾抗疫建设框架[J]. 清华大学学报(自然科学版), 2021, 61(2):117-127.
[17] SU B N, HUANG H, ZHANG N. Dynamic urban waterlogging risk assessment method based on scenario simulations[J]. Journal of Tsinghua University (Science and Technology), 2015, 55(6):684-690. (in Chinese)苏伯尼, 黄弘, 张楠. 基于情景模拟的城市内涝动态风险评估方法[J]. 清华大学学报(自然科学版), 2015, 55(6):684-690.
[18] YANG Y, LIN L, ZHONG Z P, et al. Comprehensive evaluation and spatial differentiation of community resilience in Guangzhou based on response of the city to public health hazards[J]. Acta Geographica Sinica, 2019, 74(2):266-284. (in Chinese)杨莹, 林琳, 钟志平, 等. 基于应对公共健康危害的广州社区恢复力评价及空间分异[J]. 地理学报, 2019, 74(2):266-284.
[19] JOERIN J, SHAW R, TAKEUCHI Y, et al. The adoption of a climate disaster resilience index in Chennai, India[J]. Disasters, 2014, 38(3):540-561.
[20] ZHANG M D, FENG X Q. Comprehensive evaluation of urban resilience in China[J]. Urban Problems, 2018(10):27-36. (in Chinese)张明斗, 冯晓青. 中国城市韧性度综合评价[J]. 城市问题, 2018(10):27-36.
[21] TOBIN G A, WHITEFORD L M. Community resilience and volcano hazard:The eruption of Tungurahua and evacuation of the Faldas in Ecuador[J]. Disasters, 2002, 26(1):28-48.
[22] NORRIS F H, STEVENS S P, PFEFFERBAUM B, et al. Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness[J]. American Journal of Community Psychology, 2008, 41(1-2):127-150.
[23] CUTTER S L, BARNES L, BERRY M, et al. A place-based model for understanding community resilience to natural disasters[J]. Global Environmental Change, 2008, 18(4):598-606.
[24] BAI L M, XIU C L, FENG X H, et al. A comprehensive assessment of urban resilience and its spatial differentiation in China[J]. World Regional Studies, 2019, 28(6):77-87. (in Chinese)白立敏, 修春亮, 冯兴华, 等. 中国城市韧性综合评估及其时空分异特征[J]. 世界地理研究, 2019, 28(6):77-87.
[25] KULIG J C, EDGE D S, JOYCE B. Understanding community resiliency in rural communities through multimethod research[J]. Journal of Rural and Community Development, 2008, 3(3):76-94.
[26] HUDEC O, REGGIANI A, ŠISEROVÁ M. Resilience capacity and vulnerability:A joint analysis with reference to Slovak urban districts[J]. Cities, 2018, 73:24-35.
[27] HUANG H, LI R Q, FAN W C, et al. Analysis on characteristics of safety resilient city and enlightenments for safe development of Xiongan New Area[J]. Journal of Safety Science and Technology, 2018, 14(7):5-11. (in Chinese)黄弘, 李瑞奇, 范维澄, 等. 安全韧性城市特征分析及对雄安新区安全发展的启示[J]. 中国安全生产科学技术, 2018, 14(7):5-11.
[28] LI Y, ZHAI G F, GU F M. Review on methods of quantification of urban infrastructure resilience[J]. Urban Development Studies, 2016, 23(6):113-122. (in Chinese)李亚, 翟国方, 顾福妹. 城市基础设施韧性的定量评估方法研究综述[J]. 城市发展研究, 2016, 23(6):113-122.