Sub-catchment-based urban flood risk assessment with a multi-index fuzzy evaluation approach: a case study of Jinjiang district, China

References

• Barco J, Wong KM, Stenstrom MK. 2008. Automatic calibration of the US EPA SWMM model for a large urban catchment. J Hydraul Eng. 134(4):466–474.
   Web of Science ®Google Scholar
• Benito G, Lang M, Barriendos M, Llasat MC, Francés F, Ouarda T, Thorndycraft V, Enzel Y, Bardossy A, Coeur D. 2004. Use of systematic, palaeoflood and historical data for the improvement of flood risk estimation. Review of Scientific Methods. Natural Hazards. 31(3):623–643.
   Web of Science ®Google Scholar
• Bisht D, Chatterjee C, Kalakoti S, Upadhyay P, Sahoo M, Panda A. 2016. Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study. Nat Hazards. 84(2):749–776.
   Web of Science ®Google Scholar
• Borujeni MP, Gitinavard H. 2017. Evaluating the sustainable mining contractor selection problems: an imprecise last aggregation preference selection index method. J Sustainable Min. 16(4):207–218.
   Google Scholar
• Brassel KE, Reif D. 2010. A procedure to generate Thiessen polygons. Geograph Anal. 11(3):289–303.
   Google Scholar
• Cai T, Li X, Ding X, Wang J, Zhan J. 2019. Flood risk assessment based on hydrodynamic model and fuzzy comprehensive evaluation with GIS technique. Int J Disaster Risk Reduct. 35:101077.
   Web of Science ®Google Scholar
• Chengdu Jinjiang District Local Chronicle Compilation Committee Office. 2020. Jinjiang yearbook. Beijing: Xinhua Publishing House.
   Google Scholar
• Chengdu Municipal People’s Government. 2020. Platform for government information disclosure. [accessed 2023 Jan 15]. http://www.chengdu.gov.cn/.
   Google Scholar
• Computer Network Information Center of Chinese Academy of Sciences. 2020. Geospatial data cloud. [accessed 2022 May 10]. http://www.gscloud.cn.
   Google Scholar
• Ding Y, Wang P, Liu X, Zhang X, Hong L, Cao Z. 2020. Risk assessment of highway structures in natural disaster for the property insurance. Nat Hazards. 104(3):2663–2685.
   Web of Science ®Google Scholar
• Dodman D, Hayward B, Pelling M, Castan Broto V, Chow W, Chu E, Dawson R, Khirfan L, McPhearson T, Prakash A, et al. 2022. 2022: cities, settlements and key infrastructure. In: Climate change 2022: impacts, adaptation and vulnerability. Contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change. Cambridge, UK and New York, NY, USA: Cambridge University Press.
   Google Scholar
• Gangrade S, Kao S-C, Dullo TT, Kalyanapu AJ, Preston BL. 2019. Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment. J Hydrol. 576:342–355.
   Web of Science ®Google Scholar
• Geng Y, Zheng X, Wang Z, Wang Z. 2020. Flood risk assessment in Quzhou City (China) using a coupled hydrodynamic model and fuzzy comprehensive evaluation (FCE). Nat Hazards. 100(1):133–149.
   Web of Science ®Google Scholar
• Ghosh A, Kar SK. 2018. Application of analytical hierarchy process (AHP) for flood risk assessment: a case study in Malda district of West Bengal, India. Nat Hazards. 94(1):349–368.
   Web of Science ®Google Scholar
• Gong P, Chen B, Li X, Liu H, Wang J, Bai Y, Chen J, Chen X, Fang L, Feng S. 2020. Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018.
   Google Scholar
• Huang X. 2020. Study on urban waterlogging vulnerability evaluation and disaster impact model. Xi’an: Xi’an University of Technology.
   Google Scholar
• Huiju Data. 2020. Huiju environmental platform. [accessed 2022 May 10]. https://hz.hjhj-e.com/home.
   Google Scholar
• Idris I, Puteh S, Hod R, Nawi A, Ahmad I, Siwar C, Taha M. 2018. Mental health disorder among post flood victims in Pahang. Asean J. Psychiatry. 19(2):1–6.
   Web of Science ®Google Scholar
• IPCC. 2022. Climate change 2022: impacts, adaptation and vulnerability.
   Google Scholar
• Jakoubek M. 2007. Flood protection of Prague Metro after the 2002 flood. In: Barták, Hrdina, Romancov, Zlámal, editor, Proceedings of the World Tunnel Congress 2007 and 33rd ITA/AITES Annual General Assembly. p. 1303–1308.
   Google Scholar
• Jenks GF, Caspall FC. 1971. Error on choroplethic maps: definition, measurement, reduction. Ann Assoc Am Geogr. 61(2):217–244.
   Web of Science ®Google Scholar
• Ji Z, Li N, Xie W, Wu J, Zhou Y. 2013. Comprehensive assessment of flood risk using the classification and regression tree method. Stoch Environ Res Risk Assess. 27(8):1815–1828.
   Web of Science ®Google Scholar
• Jia H, Chen F, Pan D, Du E, Wang L, Wang N, Yang A. 2022. Flood risk management in the Yangtze River basin - comparison of 1998 and 2020 events. Int J Disaster Risk Reduct. 68:102724.
   Web of Science ®Google Scholar
• Jinjiang District Bureau of Statistics. 2021. The 2020 national economic and social development statistical bulletin of Jinjiang district, Chengdu. Chengdu: Government of Jinjiang District. http://www.cdjinjiang.gov.cn/jjq/c132926/2022-06/02/content_f4fa17c44dc04cbf82bd7dd14bdd6494.shtml (in Chinese).
   Google Scholar
• Kogure T, 2016. Natural disaster measures on Tokyo Metro. J Disaster Res. 11(2):289–297.
   Google Scholar
• Kumar S, Kumar M. 2021. A game theoretic approach to solve multiple group decision making problems with interval-valued intuitionistic fuzzy decision matrices. Int J Manage Sci Eng Manage. 16(1):34–42.
   Google Scholar
• Liao H, Xu Z. 2014. Some new hybrid weighted aggregation operators under hesitant fuzzy multi-criteria decision making environment. J Intell Fuzzy Syst. 26(4):1601–1617.
   Web of Science ®Google Scholar
• Liao H, Xu Z. 2015. Extended hesitant fuzzy hybrid weighted aggregation operators and their application in decision making. Soft Comput. 19(9):2551–2564.
   Web of Science ®Google Scholar
• Liao H, Xu Z, Zeng X. 2014. Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making. Inf Sci. 271:125–142.
   Web of Science ®Google Scholar
• Li Z, Cao Y, Zhang J, Liu W. 2021. Urban rainfall characteristics and permeable pavement structure optimization for sponge road in North China. Water Sci Technol. 83(8):1932–1945.
   PubMed Web of Science ®Google Scholar
• Li Z, Liang X, Yin H. 2017. A multi-criteria group decision making method for elevator safety evaluation with hesitant fuzzy judgments. Appl Comput Math. 16(3):296–312.
   Web of Science ®Google Scholar
• Liu XP. 2009. Parameter calibration method for urban rainfall-runoff model based on runoff coefficient. Water Wastewater Eng. 11:213–217.
   Google Scholar
• Li RN, Wang J, Hu ZH. 2019a. Sub-catchment division method and rainstorm waterlogging scenario modeling in north Huangpu district. Water Resour Power. 37(7):50–53.
   Google Scholar
• Li Z, Zhang Q, Liao H. 2019b. Efficient-equitable-ecological evaluation of regional water resource coordination considering both visible and virtual water. Omega. 83:223–235.
   Web of Science ®Google Scholar
• Li Z, Zhang X, Ma Y, Feng C, Hajiyev A. 2019c. A multi-criteria decision making method for urban flood resilience evaluation with hybrid uncertainties. Int J Disaster Risk Reduct. 36:101140.
   Web of Science ®Google Scholar
• Lyu H, Shen S. 2018. Flood risk assessment in metro system using IAHP incorporated into GIS a case study in Guangzhou Metro.
   Google Scholar
• Lyu H, Shen S, Yang J, Yin Z. 2019a. Inundation analysis of metro systems with the storm water management model incorporated into a geographical information system: a case study in Shanghai. Hydrol Earth Syst Sci. 23(10):4293–4307.
   Web of Science ®Google Scholar
• Lyu H-M, Shen S-L, Zhou A, Yang J. 2020a. Risk assessment of mega-city infrastructures related to land subsidence using improved trapezoidal FAHP. Sci Total Environ. 717:135310.
   PubMed Web of Science ®Google Scholar
• Lyu HM, Shen SL, Zhou A, Zhou W. 2019b. Flood risk assessment of metro systems in a subsiding environment using the interval FAHP-FCA approach [Article]. Sustainable Cities Soc. 50:101682.
   Web of Science ®Google Scholar
• Lyu H, Sun W, Shen S, Zhou A. 2020b. Risk assessment using a new consulting process in fuzzy AHP. J Constr Eng Manage. 146(3):04019112.
   Web of Science ®Google Scholar
• Lyu H, Zhou W, Shen S, Zhou A. 2020c. Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen. Sustainable Cities Soc. 56:102103.
   Web of Science ®Google Scholar
• Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2014. Technical guide for sponge city construction - construction of rainwater system for low impact development (trial). Beijing; [accessed 2022 Oct 10]. https://img6.ccement.com/2015/07/20/a9ebe6eb.pdf.
   Google Scholar
• Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2019. Standard for design of building water supply and drainage (GB 50015-2019). Beijing: China Planning Press; [accessed 2022 May 10]. http://www.jxida.com.cn/download/1585125631817543.pdf.
   Google Scholar
• Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2021. Standard for design of outdoor wastewater engineering (GB 50014-2021). [accessed 2022 May 10]. https://www.ceett.org.cn/huanbao/static/file/upload/20211112152151108.pdf.
   Google Scholar
• Ministry of Water Resources of the People’s Republic of China. 2019. Bulletin of China’s floods and droughts. Beijing: China Water Resources and Hydropower Press; [accessed 2022 Oct 10]. http://www.mwr.gov.cn/sj/tjgb/zgshzhgb/201912/t20191210_1374387.html.
   Google Scholar
• Mo J, Lu J, Li Y, Chen Y. 2010. GIS-based sensitivity assessment on environment of developing flood hazards in Guangxi Province. J Catastrophol. 25(4):33–37.
   Google Scholar
• O'Callaghan JF, Mark DM. 1984. The extraction of drainage networks from digital elevation data. Comput Vis, Graph, Image Process. 28(3):323–344.
   Google Scholar
• Othmer FJ, Becker D, Schulte LM, Greiving S. 2020. A methodological approach to municipal pluvial flood risk assessment based on a small city case study. Sustainability. 12(24):10487.
   Web of Science ®Google Scholar
• Rodriguez RM, Martinez L, Herrera F. 2012. Hesitant fuzzy linguistic term sets for decision making. IEEE Trans Fuzzy Syst. 20(1):109–119.
   Web of Science ®Google Scholar
• Rossman LA. 2010. Storm water management model user’s manual, version 5.0. National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency.
   Google Scholar
• Rossman LA, Huber WC. 2016. Storm water management model reference manual volume I - hydrology. US Environmental Protection Agency. Vol. 3.
   Google Scholar
• Shi P. 1996. Theory and practice of disaster study. J Nat Disasters. 5(4):6–17.
   Google Scholar
• Shi P. 2002. Theory on disaster science and disaster dynamics. J Nat Disasters. 11(3):1–9.
   Google Scholar
• Sichuan Provincial Department of Housing and Urban-Rural Development. 2017. Design standard for rainwater management and utilization of low impact development projects in Sichuan Province (DBJ51/T 084-2017). Vol. 2022. Chengdu: Southwest Jiaotong University Press.
   Google Scholar
• State Council Disaster Investigation Team. 2022. An investigation report on the “720” heavy rain disaster in Zhengzhou, Henan Province. [accessed 2022 Oct 10]. https://www.mem.gov.cn/gk/sgcc/tbzdsgdcbg/202201/P020220121639049697767.pdf.
   Google Scholar
• Torra V. 2010. Hesitant fuzzy sets. Int J Intell Syst. 25(6):529–539.
   Web of Science ®Google Scholar
• United Nations Human Settlements Programme (UN-Habitat). 2022. World city report 2022: envisaging the future of cities. Nairobi.
   Google Scholar
• Wendling LA, Holt EE. 2020. Integrating engineered and nature-based solutions for urban stormwater management. In: O’Bannon D, editor. Women in Water Quality. Cham: Springer; p. 23–46.
   Google Scholar
• Wisner B, Blaikie P, Cannon T, Davis I. 2014. At risk: natural hazards, people’s vulnerability and disasters. UK: Routledge.
   Google Scholar
• Xu Z, Chen H, Ren M, Cheng T. 2020. Progress on disaster mechanism and risk assessment of urban flood/waterlogging disasters in China. Adv Water Sci. 31(5):713–724.
   Google Scholar
• Xu Q, Han L, Xu K. 2022. Causal analysis and prevention measures for extreme heavy rainstorms in Zhengzhou to protect human health. Behav Sci (Basel). 12(6):176.
   PubMedGoogle Scholar
• Yang JL, Xu YJ, Liang J, Tang Y, Liu ZL. 2022. Subcatchment division and simulation precision of rainwater pipe network model. South-to-North Water Transfers Water Sci Technol. 20(2):338–351.
   Google Scholar
• Ying X, Ni T, Lu M. 2021. Comprehensive weighted risk assessment based on GIS and SWMM in Chengdu, China. International Conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2021, November 13–14, 2021; Virtual, Online. IOS Press BV.
   Google Scholar
• Zhang D, Shi X, Xu H, Jing Q, Pan X, Liu T, Wang H, Hou H. 2020. A GIS-based spatial multi-index model for flood risk assessment in the Yangtze River Basin, China. Environ Impact Assess Rev. 83:106397.
   Web of Science ®Google Scholar
• Zhou Y, Li Z, Meng Y, Li Z, Zhong M. 2021. Analyzing spatio-temporal impacts of extreme rainfall events on metro ridership characteristics. Physica A. 577:126053.
   Web of Science ®Google Scholar
• Zhou J, Shen R. 2013. Dictionary of soil science. Beijing: Science Press.
   Google Scholar
• Zhou L, Xiong Y. 2021. Chengdu yearbook. Chengdu: Chengdu Press.
   Google Scholar