Skip to main content Accessibility help
×
Home
Hostname: page-component-59b7f5684b-b2xwp Total loading time: 4.043 Render date: 2022-09-26T20:05:46.380Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "useRatesEcommerce": false, "displayNetworkTab": true, "displayNetworkMapGraph": false, "useSa": true } hasContentIssue true

15 - Managing Urban Flood Risk and Building Resilience in a Changing Climate

from Part III - Sustainable Water Management under Future Uncertainty

Published online by Cambridge University Press:  17 March 2022

Qiuhong Tang
Affiliation:
Chinese Academy of Sciences, Beijing
Guoyong Leng
Affiliation:
Oxford University Centre for the Environment
Get access

Summary

Urban flooding disasters have increased due to climate change in recent decades. The induced casualties and economic losses are aggravated by intense urbanization. Climate change projections present high confidence in the increase of flood hazard in the future of the twenty-first century. Moreover, population growth and socio-economic development may lead to an increase of vulnerability to flood hazard. In this context, most countries have launched relevant initiatives to mitigate and adapt to urban flooding disaster, in order to improve urban resilience to flood disaster and achieve urban sustainable development goals. Structural, semi-structural and non-structural strategies have been developed and evaluated in the framework of flood risk management. Furthermore, the integrated flood modelling framework has been developed to support the integrated flood risk assessment under a changing environment. Based on projections, urban flood resilience can be estimated and applied to improve the decision-making of flood policy and regulation, and to guide the planning and design of the flood risk management strategy. In this context, this chapter reviews and discusses the natural and anthropogenic drivers of urban flooding, flood risk management in developing and developed countries and the integrated modelling framework of flood risk management.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2022

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aerts, J. C., Botzen, W. J., Clarke, K. C., et al. (2018). Integrating human behaviour dynamics into flood disaster risk assessment. Nature Climate Change 8(3): 193.CrossRefGoogle Scholar
Aitsi-Selmi, A., Murray, V., Wannous, C., et al. (2016). Reflections on a science and technology agenda for 21st century disaster risk reduction. International Journal of Disaster Risk Science 7(1): 129.CrossRefGoogle Scholar
Andoh, R. Y. G., & Iwugo, K. O. (2012). Sustainable urban drainage systems: A UK perspective. Global Solutions for Urban Drainage 1–16. DOI:10.1061/40644(2002)19.CrossRefGoogle Scholar
Balica, S., & Wright, N. G. (2010). Reducing the complexity of the flood vulnerability index. Environmental Hazards 9(4): 321339.CrossRefGoogle Scholar
Behzadian, K., & Kapelan, Z. (2015) Modelling metabolism based performance of an urban water system using Water MET 2. Resources, Conservation and Recycling 99: 8499.CrossRefGoogle Scholar
Bennet, O., & Hartwell-Naquib, S. (2014). Flood defence spending in England. House of Commons library, standard note SN/SC/5755.Google Scholar
Bensona, D., Fritsch, O., Cook, H., & Schmidd, M. (2014). Evaluating participation in WFD river basin management in England and Wales: Processes, communities, outputs and outcomes. Land Use Policy 38: 213222.CrossRefGoogle Scholar
Berndtsson, R., Becker, P., Persson, A., et al. (2019). Drivers of changing urban flood risk: A framework for action. Journal of Environmental Management 240: 4756.CrossRefGoogle ScholarPubMed
Bertilsson, L., Wiklund, K., Tebaldi, I. D. M., et al. (2019). Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning, Journal of Hydrology 573: 970982.CrossRefGoogle Scholar
Beven, K. (2012). Rainfall-Runoff Modelling: The Primer (2nd ed., pp. ixxix). Chichester: John Wiley & Sons.CrossRefGoogle Scholar
Bottazzi, P., Winkler, M. S., & Speranza, C. I. (2019). Flood governance for resilience in cities: The historical policy transformations in Dakar’s suburbs. Environmental Science & Policy 93: 172180.CrossRefGoogle Scholar
Brown, R. R., Keath, N., & Wong, T. H. F. (2009). Urban water management in cities: Historical, current and future regimes. Water Science & Technology 59(5): 847855.CrossRefGoogle ScholarPubMed
Bruwier, M., Maravat, C., Mustafa, A., et al. (2020). Influence of urban forms on surface flow in urban pluvial flooding. Journal of Hydrology 582: 124493.CrossRefGoogle Scholar
Bubeck, P., Kreibich, H., Penning-Rowsell, E. C., Botzen, W. J. W., De Moel, H., & Klijn, F. (2015). Explaining differences in flood management approaches in Europe and in the USA – A comparative analysis. Journal of Flood Risk Management 10: 436445.CrossRefGoogle Scholar
Burby, R. J., Deyle, R. E., Godschalk, D. R., & Olshansky, R. B. (2000). Creating hazard resilient communities through land-use planning. Natural Hazards Review 1(2): 99106.CrossRefGoogle Scholar
Cabral, P., Augusto, G., Akande, A., et al. (2017). Assessing Mozambique’s exposure to coastal climate hazards and erosion. International Journal of Disaster Risk Reduction 23: 4552.CrossRefGoogle 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. International Journal of Disaster Risk Reduction 35: 101077.CrossRefGoogle Scholar
Cariolet, J.-M., Vuillet, M. & Diab, Y. (2019). Mapping urban resilience to disasters – A review. Sustainable Cities and Society 51: 101746,CrossRefGoogle Scholar
Chan, F. K. S., Griffiths, J. A., Higgitt, D., et al. (2018). ‘Sponge City’ in China – A breakthrough of planning and flood risk management in the urban context. Land Use Policy 76: 772778.CrossRefGoogle Scholar
Chang, F., Chen, P., Lu, Y., Huang, E., & Chang, K. (2014). Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control. Journal of Hydrology 517: 836846.CrossRefGoogle Scholar
Chelleri, L., Schuetze, T., & Salvati, L. (2015). Integrating resilience with urban sustainability in neglected neighbourhoods: Challenges and opportunities of transitioning to decentralized water management in Mexico City. Habitat International 48: 122130.CrossRefGoogle Scholar
Chen, J., Gao, C., Zeng, X., et al. (2017). Assessing changes of river discharge under global warming of 1.5º and 2º in the upper reaches of the Yangtze River Basin: Approach by using multiple-GCMs and hydrological models. Quaternary International 453: 6373.CrossRefGoogle Scholar
Chini, M., Giustarini, L., Matgen, P., Hostache, R., Pappenberger, F., & Bally, P. (2014). Flood hazard mapping combining high resolution multi-temporal SAR data and coarse resolution global hydrodynamic modelling. 2014 IEEE Geoscience and Remote Sensing Symposium, Quebec City, QC (pp. 23942396).CrossRefGoogle Scholar
Cigler, B. (2017). U.S. floods: The necessity of mitigation. State and local government Review 49(2): 127139.Google Scholar
Cobbinah, P. B., Asibey, M. O., Opoku-Gyamfi, M., & Peprah, C. (2019). Urban planning and climate change in Ghana. Journal of Urban Management 8(2): 261271.CrossRefGoogle Scholar
Cobbinah, P. B., Poku-Boansi, M., & Peprah, C. (2017). Urban environmental problems in Ghana. Environmental Development 23: 3346.CrossRefGoogle Scholar
Costabile, P., Costanzo, C., De Lorenzo, G., & Macchione, F. (2020). Is local flood hazard assessment in urban areas significantly influenced by the physical complexity of the hydrodynamic inundation model? Journal of Hydrology 580: 124231.CrossRefGoogle Scholar
Costanza, R., Perez-Maqueo, O., Martinez, M. L., Sutton, P., Anderson, S. J., & Mulder, K. (2008). The value of coastal wetlands for hurricane protection. AMBIO: A Journal of the Human Environment 37(4): 241248.CrossRefGoogle ScholarPubMed
Darabi, H., Choubin, B., Rahmati, O., Haghighi, A. T., Pradhan, B., & Kløve, B. (2019). Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques. Journal of Hydrology 569: 142154.CrossRefGoogle Scholar
Dawson, R. J., Speight, L., Hall, J. W., Djordjevic, S., Savic, D., & Leandro, J. (2008). Attribution of flood risk in urban areas. Journal of Hydroinformatics 10(4): 275288.CrossRefGoogle Scholar
Department for Environment Food and Rural Affairs (DEFRA) (2017). Evaluation of the Arrangements for Managing Local Flood Risk in England (p. FD2680). Final Report. London: DEFRA.Google Scholar
Diagne, K., Ndiaye, A., Pelling, M., & Wisner, B. (2012). History, governance and the millennium development goals: Flood risk reduction in Saint-Louis, Senegal. In Pelling, M. and Wisner, B. (eds.), Disaster Risk Reduction: Cases From Urban Africa. (p. 147). London: Routledge.Google Scholar
van Dijk, E., van der Meulen, J., Kluck, J., & Straatman, J. H. M. (2014). Comparing modelling techniques for analysing urban pluvial flooding. Water Science & Technology 69(2): 305311.CrossRefGoogle ScholarPubMed
Dixon, L., Clancy, N., Seabury, S. A., & Overton, A. (2006). The National Flood Insurance Program’s Market Penetration Rate, Estimates and Policy Implications. Arlington, VA: RAND.Google Scholar
FEMA (Federal Emergency Management) (1994). A Unified National Program for Floodplain Management. Washington, DC: FEMA. Available from www.fema.gov/media-library-data/20130726-1733-25045-0814/unp_floodplain_mgmt_1994.pdf (Last accessed 15 March 2020).Google Scholar
Fenner, R. A., O’Donnell, E., Ahilan, S., et al. (2019). Achieving urban flood resilience in an uncertain future. Water 11(5): 1082.CrossRefGoogle Scholar
Field, C. B., Barros, V., Stocker, T. F., et al. (2012). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.Google Scholar
Filho, W. L., Balogun, A., Ayal, D. Y., et al. (2018). Strengthening climate change adaptation capacity in Africa – Case studies from six major African cities and policy implications. Environmental Science & Policy 86: 2937.CrossRefGoogle Scholar
Fletcher, T. D., Andrieu, H., & Hamel, P. (2013). Understanding, management and modelling of urban hydrology and its consequences for receiving waters: A state of the art. Advances in Water Resources 51: 261279.CrossRefGoogle Scholar
Foresight (2004). Foresight: Future Flooding. Executive Summary. London: Department of Trade and Industry, The Government Office for Science.Google Scholar
Fritsch, O., & Benson, D. (2013). Integrating the principles of IWRM? River basin planning in England and Wales. International Journal of Water Governance 1(3–4): 265284.CrossRefGoogle Scholar
Gaitan, S., van de Giesen, N. C., & ten Veldhuis, J. A. E. (2016). Can urban pluvial flooding be predicted by open spatial data and weather data? Environmental Modelling & Software: With Environment Data News 85: 156171.CrossRefGoogle Scholar
Gallien, T. W., Sanders, B. F., & Flick, R. E. (2014). Urban coastal flood prediction: Integrating wave overtopping, flood defences and drainage. Coastal Engineering 91: 1828.CrossRefGoogle Scholar
Gebrehiwot, A., Hashemi-Beni, L., Thompson, G., Kordjamshidi, P., & Langan, T. E. (2019). Deep convolutional neural network for flood extent mapping using unmanned aerial vehicles data. Sensors 19(7): 1486.CrossRefGoogle ScholarPubMed
Gersonius, B. (2012). The Resilience Approach to Climate Adaptation Applied for Flood Risk. PhD Thesis, UNESCO-IHE/TU Delft.Google Scholar
Gersonius, B., van Buuren, A., Zethof, M., & Kelder, E. (2016). Resilient flood risk strategies: Institutional preconditions for implementation. Ecology and Society 21(4): 28.CrossRefGoogle Scholar
Glenis, V., Kutija, V., & Kilsby, C. G. (2018). A fully hydrodynamic urban flood modelling system representing buildings, green space and interventions. Environmental Modelling & Software 109: 272292.CrossRefGoogle Scholar
Griffiths, J. A., Zhu, F., Chan, F. K. S., & Higgitt, D. L. (2019). Modelling the impact of sea-level rise on urban flood probability in SE China. Geoscience Frontiers 10(2): 363372.CrossRefGoogle Scholar
Grimaldi, S., Petroselli, A., Arcangeletti, E., & Nardi, F. (2013). Flood mapping in ungauged basins using fully continuous hydrologic–hydraulic modeling. Journal of Hydrology 487: 3947.CrossRefGoogle Scholar
Hall, J. W., Meadowcroft, I. C., Sayers, P. B., & Bramley, M. E. (2003). Integrated flood risk management in England and Wales. Natural Hazards Review 4(3): 126135.CrossRefGoogle Scholar
Hegger, D., Alexander, M., Raadgever, T., Priest, S., & Bruzzone, S. (2020). Shaping flood risk governance through science-policy interfaces: Insights from England, France and the Netherlands. Environmental Science & Policy 106: 157165.CrossRefGoogle Scholar
Hirabayashi, Y., Mahendran, R., Koirala, S., et al. (2013). Global flood risk under climate change. Nature Climate Change 3: 816821.CrossRefGoogle Scholar
Huang, D., Zhang, R., Huo, Z., et al. (2012). An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method. Natural Hazards 64(2): 15751586.CrossRefGoogle Scholar
van den Hurk, M., Mastenbroek, E., & Meijerink, S. (2014). Water safety and spatial development: An institutional comparison between the United Kingdom and the Netherlands. Land Use Policy 36: 416426.CrossRefGoogle Scholar
Hutter, G., & Schanze, J. (2008). Learning how to deal with uncertainty of flood risk in long-term planning. Journal of River Basin Management 6(2): 175184.CrossRefGoogle Scholar
Imran, M., Sumra, K., Mahmood, S. A., & Sajjad, S. F. (2019). Mapping flood vulnerability from socioeconomic classes and GI data: Linking socially resilient policies to geographically sustainable neighbourhoods using PLS-SEM. International Journal of Disaster Risk Reduction 41: 101288.CrossRefGoogle Scholar
IPCC (2012). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change, 582 pp. [Field, C. B., Barros, V., Stocker, T. F., et al. (eds.)]. Cambridge: Cambridge University Press.Google Scholar
IPCC (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 151 pp. [Core Writing Team, Pachauri, R. K. & Meyer, L. A. (eds.)]. Geneva: IPCC.Google Scholar
IPCC-SRES (2000). Emission scenarios. In Nakićenovic, N., & Swart, R. (eds.), Special Report on Emissions Scenarios: A Special Report of Working Group III of the Intergovernmental Panel on Climate Change (pp. 239292). Cambridge: Cambridge University Press.Google Scholar
Jenkins, K., Surminski, S., Hall, J., & Crick, F. (2017). Assessing surface water flood risk and management strategies under future climate change: Insights from an agent-based model. Science of The Total Environment 595: 159168.CrossRefGoogle ScholarPubMed
Ke, Y., Wang, S., Chan, A. P. C., & Lam, P. T. I. (2010). Preferred risk allocation in China’s public–private partnership (PPP) projects. International Journal of Project Management 28(5): 482492.CrossRefGoogle Scholar
Khan, S. (2012). Vulnerability assessments and their planning implications: A case study of the Hutt Valley, New Zealand. Natural Hazards 64(2): 15871607.CrossRefGoogle Scholar
Koks, E. E., Jongman, B., Husby, T. G., & Botzen, W. J. W. (2015). Combining hazard, exposure and social vulnerability to provide lessons for flood risk management. Environmental Science & Policy 47: 4252.CrossRefGoogle Scholar
Kolsky, P. (1999). Storm Drainage: An Engineering Guide to the Low-Cost Evaluation of System Performance. Rugby: Practical Action.Google Scholar
Kunreuther, H., & Roth, R. J. (1998). Paying the Price: The Status and Role of Insurance against Natural Disasters in the United States. Washington, DC: Joseph Henry.Google Scholar
Lee, S., Kim, J. C., Jung, H. S., Lee, M. J., & Lee, S. (2017). Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea. Geomatics Natural Hazards & Risk 8(2): 11851203.CrossRefGoogle Scholar
Li, Y., Li, H. X., Huang, J., & Liu, C. (2020). An approximation method for evaluating flash flooding mitigation of sponge city strategies – A case study of Central Geelong. Journal of Cleaner Production 257: 120525.CrossRefGoogle Scholar
Liao, K. (2012). A theory on urban resilience to floods – A basis for alternative planning practices. Ecology and Society 17(4): 48.CrossRefGoogle Scholar
Löschner, L., & Nordbeck, R. (2019). Switzerland’s transition from flood defence to flood-adapted land use: A policy coordination perspective. Land Use Policy, 95: 103873.CrossRefGoogle Scholar
Lu, X., & Ran, L. (2011). China flood havoc highlights poor urban planning. Natural Hazards 56: 575576.CrossRefGoogle Scholar
Macchione, F., Costabile, P., Costanzo, C., & De Lorenzo, G. (2019). Extracting quantitative data from non-conventional information for the hydraulic reconstruction of past urban flood events. A case study. Journal of Hydrology 576: 443465.CrossRefGoogle Scholar
Maheu, A. (2012). Urbanization and flood vulnerability in a peri-urban neighbourhood of Dakar, Senegal: How can participatory GIS contribute to flood management? In Filho, W. L. (ed.), Climate Change and the Sustainable Use of Water Resources. Climate Change Management (pp. 185207). Berlin: Springer.Google Scholar
Mai, T., Mushtaq, S., Reardon-Smith, K., et al. (2020). Defining flood risk management strategies: A systems approach. International Journal of Disaster Risk Reduction 47: 101550.CrossRefGoogle Scholar
Meerow, S., Newell, J. P., & Stults, M. (2016). Defining urban resilience: A review. Landscape and Urban Planning 147: 3849.CrossRefGoogle Scholar
Mehrotra, R., & Sharma, A. (2010). Development and application of a multisite rainfall stochastic downscaling framework for climate change impact assessment. Water Resources Research 46(7): 759768.CrossRefGoogle Scholar
Mehrotra, R., Sharma, A., Nagesh Kumarb, D., & Reshmidevi, T. V. (2013). Assessing future rainfall projections using multiple GCMs and a multi-site stochastic downscaling model. Journal of Hydrology 488: 84100.CrossRefGoogle Scholar
Meinshausen, M., Smith, S. J., Calvin, K., et al. (2011). The RCP greenhouse gas concentrations and their extension from 1765 to 2300. Climate Change 109(1–2): 213241.CrossRefGoogle Scholar
Merz, B., Hall, J., Disse, M., & Schumann, A. (2010). Fluvial flood risk management in a changing world. Natural Hazards and Earth System Sciences 10(3): 509727.CrossRefGoogle Scholar
Metz, F., Angst, M., & Fischer, M. (2020). Policy integration: Do laws or actors integrate issues relevant to flood risk management in Switzerland? Global Environmental Change 61: 101945,CrossRefGoogle Scholar
Miguez, M. G., & Veról, A. P. (2017). A catchment scale Integrated Flood Resilience Index to support decision making in urban flood control design. Environment and Planning B: Planning and Design 44(5): 925946.Google Scholar
Miller, J. D., & Hutchins, M. (2017). The impacts of urbanisation and climate change on urban flooding and urban water quality: A review of the evidence concerning the United Kingdom. Journal of Hydrology: Regional Studies 12: 345362.Google Scholar
Ministry of Water Resources of the People’s Republic of China (2013). China Flood and Drought Disaster Bulletin 2013. Beijing: SinoMaps Press. Available from www.mwr.gov.cn/sj/tjgb/zgshzhgb/201612/t20161222_776091.html (Last accessed 9 March 2020).Google Scholar
Moftakhari, H. R., AghaKouchak, A., Sanders, B. F., Allaire, M., & Matthew, R. A. (2018). What is nuisance flooding? Defining and monitoring an emerging challenge. Water Resource Research 54(7): 42184227.CrossRefGoogle Scholar
Mugume, S. N., Gomez, D. E., Fu, G., Farmani, R., & Butler, D. (2015). A global analysis approach for investigating structural resilience in urban drainage systems, Water Research 81: 1526.CrossRefGoogle ScholarPubMed
Müller, H., & Haberlandt, U. (2018). Temporal rainfall disaggregation using a multiplicative cascade model for spatial application in urban hydrology. Journal of Hydrology 556: 847864,CrossRefGoogle Scholar
NOAA National Centers for Environmental Information (NCEI) (2020). U.S. Billion-Dollar Weather and Climate Disasters. Available from www.ncdc.noaa.gov/billions/ (Last accessed 22 August 2021).Google Scholar
Nkhonjera, G. K. (2017). Understanding the impact of climate change on the dwindling water resources of South Africa, focusing mainly on Olifants River basin: A review. Environmental Science & Policy 71: 1929.CrossRefGoogle Scholar
Nkwunonwo, U. C., Whitworth, M., & Baily, B. (2020). A review of the current status of flood modelling for urban flood risk management in the developing countries. Scientific African 7: e00269.CrossRefGoogle Scholar
Noonan, D. S., & Sadiq, A. A. (2018). Flood risk management: Exploring the impacts of the community rating system program on poverty and income inequality. Risk Analysis 38(3): 489503.CrossRefGoogle ScholarPubMed
O’Donnell, E. C., Lamond, J. E., & Thorne, C. R. (2018). Learning and action alliance framework to facilitate stakeholder collaboration and social learning in urban flood risk management. Environmental Science & Policy 80(Suppl C): 18.CrossRefGoogle Scholar
O’Donnell, E., Thorne, C., Ahilan, S., et al. (2019) The blue-green path to urban flood resilience. Blue-Green Systems 2(1): 2845.CrossRefGoogle Scholar
Pelling, M., & Wisner, B. (2012). Disaster Risk Reduction: Cases from Urban Africa. London: Routledge.CrossRefGoogle Scholar
Petersen, M. S. (2001). Impact of flash floods. In Gruntfest, E., & Handmer, J. (eds.), Coping with Flash Floods (pp. 1113). Netherlands: Klumer Academic Publishers.CrossRefGoogle Scholar
Qiao, X., Liao, K., & Randrup, T. B. (2020). Sustainable stormwater management: A qualitative case study of the Sponge Cities initiative in China. Sustainable Cities and Society 53: 101963.CrossRefGoogle Scholar
Reshmidevi, T. V., Nagesh Kumar, D., Mehrotra, R., & Sharma, A. (2018). Estimation of the climate change impact on a catchment water balance using an ensemble of GCMs. Journal of Hydrology 556: 11921204.CrossRefGoogle Scholar
Reynard, N. S., Prudhomme, C., & Crooks, S. M. (2001). The flood characteristics of large UK rivers: Potential effects of changing climate and land use. Climate Change 48: 343359.CrossRefGoogle Scholar
Rubinato, M., Nichols, A., Peng, Y., et al. (2019). Urban and river flooding: Comparison of flood risk management approaches in the UK and China and an assessment of future knowledge needs. Water Science and Engineering 12(4): 274283.CrossRefGoogle Scholar
Sadler, J. M., Goodall, J. L., Morsy, M. M., & Spencer, K. (2018). Modelling urban coastal flood severity from crowd-sourced flood reports using Poisson regression and Random Forest. Journal of Hydrology 559: 4355.CrossRefGoogle Scholar
Saul, A. J., Djordjevic, S., Maksimovic, C., & Blanksby, J. (2011). Integrated urban flood modelling In Pender, G., & Faulkner, H. (eds.), Flood Risk Science and Management (pp. 258288). Hoboken, NJ: Wiley-Blackwell.Google Scholar
Sayers, P., Li, Y., Galloway, G., et al. (2013). Flood Risk Management: A Strategic Approach. Paris: UNESCO.Google Scholar
Schanze, J. (2006). Flood risk management – A basic framework. In Schanze, J., Zeman, E., & Marsalek, J. (eds.), Flood Risk Management – Hazards, Vulnerability and Mitigation Measures (pp. 120). Berlin: Springer.CrossRefGoogle Scholar
Scholz, M. (2013). Water quality improvement performance of geotextiles within permeable paving systems: A critical review. Water 5(2): 462479.CrossRefGoogle Scholar
Schwartz, S. S., & Smith, B. (2016). Restoring hydrologic function in urban landscapes with suburban subsoiling. Journal of Hydrology 543(Part B): 770781.CrossRefGoogle Scholar
Sendzimir, J., Magnuszewski, P., Flachner, Z., et al. (2007). Assessing the resilience of a river management regime: Informal learning in a shadow network in the Tisza River Basin. Ecology and Society 13(1): 11.CrossRefGoogle Scholar
Smith, L. S., & Liang, Q. (2015). A high-performance integrated hydrodynamic modelling system for urban flood simulations. Journal of Hydroinformatics 17(4): 518533.Google Scholar
Smits, A. J. M., Nienhuis, P. H., & Saeijs, H. L. F. (2006). Changing estuaries, changing views. Hydrobiologia 565: 339355.CrossRefGoogle Scholar
Sörensen, J., & Mobini, S. (2017). Pluvial, urban flood mechanisms and characteristics – Assessment based on insurance claims. Journal of Hydrology 555: 5167.CrossRefGoogle Scholar
Sörensen, J., Persson, A., Sternudd, C., et al. (2016). Re-thinking urban flood management – Time for a regime shift. Water 8(8): 332.CrossRefGoogle Scholar
Tang, Q. (2020). Global change hydrology: Terrestrial water cycle and global change. Science China Earth Sciences 63: 459462.CrossRefGoogle Scholar
Tanoue, M., Hirabayashi, Y., & Ikeuchi, H. (2016). Global-scale river flood vulnerability in the last 50 years. Scientific Reports 6: 36021.CrossRefGoogle ScholarPubMed
Tiepolo, M. (2014). Flood risk reduction and climate change in large cities south of the Sahara. In Macchi, S., & Tiepolo, M. (eds.), Climate Change Vulnerability in Southern African Cities (pp. 1936). Cham: Springer.CrossRefGoogle Scholar
Trzaska, S., & Schnarr, E. (2014). A review of downscaling methods for climate change projections. United States Agency for International Development by Tetra Tech ARD (pp. 142).Google Scholar
UK Government (2010). Flood and Water Management Act. London: UK Government.Google Scholar
UN (2018). 68% of the world population projected to live in urban areas by 2050, says UN. Available from www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html (Last accessed 17 October 2019).Google Scholar
UN (United Nations, Department of Economic and Social Affairs, Population Division) (2019). World Urbanization Prospects 2018: Highlights (ST/ESA/SER.A/421).Google Scholar
Ungaro, F., Calzolari, C., Pistocchi, A., & Malucelli, F. (2014). Modelling the impact of increasing soil sealing on runoff coefficients at regional scale: A hydrogeological approach. Journal of Hydrology & Hydromechanics 62(1): 3342.CrossRefGoogle Scholar
UNISDR (2004). Living with risk. A Global Review of Disaster Reduction Initiatives. Geneva: UNISDR. Available from www.unisdr.org/files/657_lwr21.pdf (Last accessed 21 March 2020).Google Scholar
Vahedifard, F., AghaKouchak, A., & Jafari, N. H. (2016). Compound hazards yield Louisiana flood. Science 353(6306): 1374.CrossRefGoogle ScholarPubMed
ten Veldhuis, J. A. E., Harder, R. C., & Loog, M. (2010). Automatic classification of municipal call data to support quantitative risk analysis of urban drainage systems. Structure and Infrastructure Engineering 9(2): 110.CrossRefGoogle Scholar
Vercruysse, K., Dawson, D., & Wright, N. (2019) Interoperability: A conceptual framework to bridge the gap between multi-functional and multi-system urban flood management. Journal of Flood Risk Management 12(S2): e12535.CrossRefGoogle Scholar
van Vuuren, D. P., Edmonds, J., Kainuma, M., et al. (2011). The representative concentration pathways: An overview. Climatic Change 109: 531.CrossRefGoogle Scholar
Waghwala, R. K., & Agnihotri, P. G. (2019). Flood risk assessment and resilience strategies for flood risk management: A case study of Surat City. International Journal of Disaster Risk Reduction 40: 101155.CrossRefGoogle Scholar
Wang, Q., Xu, Y., Wang, Y., et al. (2020). Individual and combined impacts of future land-use and climate conditions on extreme hydrological events in a representative basin of the Yangtze River Delta, China. Atmospheric Research 236: 104805.CrossRefGoogle Scholar
Wang, Y., Sun, M., & Song, B. (2017). Public perceptions of and willingness to pay for sponge city initiatives in China. Resources, Conservation and Recycling 122: 11–0.CrossRefGoogle Scholar
Wang, Y., Zhang, X., Tang, Q., et al. (2019). Assessing flood risk in Baiyangdian Lake area in a changing climate using an integrated hydrological-hydrodynamic modelling. Hydrological Sciences Journal 64(16): 20062014.CrossRefGoogle Scholar
Wang, Z., Lai, C., Chen, X., Yang, B., Zhao, S., & Bai, X. (2015). Flood hazard risk assessment model based on random forest. Journal of Hydrology 527: 11301141.CrossRefGoogle Scholar
Ward, P. J., Jongman, B., Weiland, F. S., et al. (2013). Assessing flood risk at the global scale: Model setup, results, and sensitivity. Environmental Research Letters 8(4): 044019.CrossRefGoogle Scholar
Watson, K. M., Harwell, G. R., Wallace, D. S., Welborn, T. L., Stengel, V. G., & McDowell, J. S. (2018). Characterization of peak streamflows and flood inundation of selected areas in southeastern Texas and southwestern Louisiana from the August and September 2017 flood resulting from Hurricane Harvey: U.S. Geological Survey Scientific Investigations Report 2018-5070, 44 p., https://doi.org/10.3133/sir20185070.CrossRefGoogle Scholar
Winsemius, H. C., Aerts, J. C. J. H., van Beek, L. P. H., et al. (2016). Global drivers of future river flood risk. Nature Climate Change 6: 381385.CrossRefGoogle Scholar
Wisner, B., Blaikie, P. M., Blaikie, P., Cannon, T., & Davis, I. (2004). At Risk: Natural Hazards, People’s Vulnerability and Disasters. New York: Routledge.Google Scholar
Yao, L., Wei, W., & Chen, L. (2016). How does imperviousness impact the urban rainfall-runoff process under various storm cases? Ecological Indicators 60: 893905.CrossRefGoogle Scholar
Yin, Y., Tang, Q., Liu, X., & Zhang, X. (2017). Water scarcity under various socio-economic pathways and its potential effects on food production in the Yellow River Basin. Hydrology and Earth System Sciences 21: 791804.CrossRefGoogle Scholar
Zhang, L., Sun, X., & Xue, H. (2019). Identifying critical risks in Sponge City PPP projects using DEMATEL method: A case study of China. Journal of Cleaner Production 226: 949958.CrossRefGoogle Scholar
Zhao, G., Pang, B., Xu, Z., Peng, D., & Xu, L. (2019). Assessment of urban flood susceptibility using semi-supervised machine learning model. Science of the Total Environment 659: 940949.CrossRefGoogle ScholarPubMed
Zheng, Z., Qi, S., & Xu, Y. (2013). Questionable frequent occurrence of urban flood hazards in modern cities of China. Natural Hazards 65: 10091010.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×