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An uncertainty-based framework to quantifying climate change impacts on coastal flood vulnerability: case study of New York City

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Abstract

The continued development efforts around the world, growing population, and the increased probability of occurrence of extreme hydrologic events have adversely affected natural and built environments. Flood damages and loss of lives from the devastating storms, such as Irene and Sandy on the East Coast of the USA, are examples of the vulnerability to flooding that even developed countries have to face. The odds of coastal flooding disasters have been increased due to accelerated sea level rise, climate change impacts, and communities’ interest to live near the coastlines. Climate change, for instance, is becoming a major threat to sustainable development because of its adverse impacts on the hydrologic cycle. Effective management strategies are thus required for flood vulnerability reduction and disaster preparedness. This paper is an extension to the flood resilience studies in the New York City coastal watershed. Here, a framework is proposed to quantify coastal flood vulnerability while accounting for climate change impacts. To do so, a multi-criteria decision making (MCDM) approach that combines watershed characteristics (factors) and their weights is proposed to quantify flood vulnerability. Among the watershed characteristics, potential variation in the hydrologic factors under climate change impacts is modeled utilizing the general circulation models’ (GCMs) outputs. The considered factors include rainfall, extreme water level, and sea level rise that exacerbate flood vulnerability through increasing exposure and susceptibility to flooding. Uncertainty in the weights as well as values of factors is incorporated in the analysis using the Monte Carlo (MC) sampling method by selecting the best-fitted distributions to the parameters with random nature. A number of low impact development (LID) measures are then proposed to improve watershed adaptive capacity to deal with coastal flooding. Potential range of current and future vulnerability to flooding is estimated with and without consideration of climate change impacts and after implementation of LIDs. Results show that climate change has the potential to increase rainfall intensity, flood volume, floodplain extent, and flood depth in the watershed. The results also reveal that improving system resilience by reinforcing the adaptation capacity through implementing LIDs could mitigate flood vulnerability. Moreover, the results indicate the significant effect of uncertainties, arising from the factors’ weights as well as climate change, impacts modeling approach, on quantifying flood vulnerability. This study underlines the importance of developing applicable schemes to quantify coastal flood vulnerability for evolving future responses to adverse impacts of climate change.

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References

  • Anderson (1999). Monte Carlo methods and importance sampling, Lecture Notes for Stat 578C, Statistical Genetics.

  • Arnbjerg-Nielsen, K. (2008). Quantification of climate change impacts on extreme precipitation used for design of sewer systems. 11th international conference on urban drainage, Edinburgh, Scotland, UK.

  • Arnold, C. L., & Gibbons, C. J. (1996). Impervious surface coverage: The emergence of a key environmental indicator. Journal of the American Planning Association, 62, 243–258.

    Article  Google Scholar 

  • Ashley, R. M., Blanksby, J., Chapman, J., & Zhou, J. (2007). Towards integrated approaches to increase resilience and robustness for the prevention and mitigation of flood risk in urban areas. In R. Ashley, S. Garvin, E. Pasche, A. Vassilopoulos, & C. Zevenbergen (Eds.), Advances in urban flood management. London: Taylor and Francis.

    Google Scholar 

  • Batica, J., & Gourbesville, P. (2012). A resilience measures towards assessed urban flood management CORFU project. 9th International Conference on Urban Drainage Modelling Belgrade.

  • Blake, R., Khanbilvardi, R., & Rosenzweig, C. (2000). Climate change impacts on new york city's water supply system. Journal of the American Water Resources Association, 36(2), 279–292.

    Article  Google Scholar 

  • Bowman, M. J. (2000). Rising sea levels and storm surges-beyond 2080. Stony Brook University.

  • Brabec, E. A. (2009). Imperviousness and land use policy: Toward an effective approach to watershed planning. Journal of Hydrological Engineering, 14, 425–433.

    Article  Google Scholar 

  • Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O’Rourke, T. D., Reinhorn, A. M., Shinozuka, M, Tierney, K., Wallace, WA and von Winterfeldt, D. (2003). A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities. Earthquake Spectra, 19(4), 733–752. doi: https://doi.org/10.1193/1.1623497

  • Burian, S. J. (2006). Urbanization effect on rainfall: Implications for drainage infrastructure performance and design. In M. Ruth (Ed.), Smart growth and climate change: Regional development, infrastructure and adaptation (pp. 207–242). Northampton, MA: Edward Elgar.

    Google Scholar 

  • Chen, J., Brissette, F. P., & Leconte, R. (2011a). Uncertainty of downscaling method in quantifying the impact of climate change on hydrology. Journal of Hydrology, 401(3), 190–202.

    Article  Google Scholar 

  • Chen, J., Brissette, F. P., Poulin, A., & Leconte, R. (2011b). Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed. Water Resources Research, 47(12).

  • Cloke, H., Wetterhall, F., He, Y., Freer, J., Pappenberger, F. (2012), Modelling climate impact on floods with ensemble climate projections. Quarterly Journal of the Royal Meteorological Society. https://doi.org/10.1002/qj.1998.

  • Cutter, L., Mitchell, J. T., & Scott, M. S. (2000). Revealing the vulnerability of people and places: a case study of Georgetown County. South Carolina., 90, 713–737.

    Google Scholar 

  • Déqué, M., Rowell, D. P., Lüthi, D., Giorgi, F., Christensen, J. H., Rockel, B., et al. (2007). An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections. Climatic Change, 81(1), 53–70.

    Article  Google Scholar 

  • De Bruijn, K. M. (2005). Resilience and flood risk management: a systems approach applied to lowland rivers.

    Google Scholar 

  • De Sherbinin, A., Schiller, A., & Pulsipher, A. (2007). The vulnerability of global cities to climate hazards. Environment and Urbanization, 19(1), 39–64.

    Article  Google Scholar 

  • Dewan, T. H. (2015). Societal impacts and vulnerability to floods in Bangladesh and Nepal. Weather and Climate Extremes, 7, 36–42.

    Article  Google Scholar 

  • Fevre, N. B., Watkins, D. W., Gierka, J. S., & Brophy-Prince, J. (2010). Hydrologic performance monitoring of an underdrained low-impact development stormwater management system. Journal of Irrigation and Drainage Engineering, 136, 333–339.

    Article  Google Scholar 

  • Ghodsi, S. H., Kerachian, R., Nikoo, M. R., Malakpour, S., & Zahmatkesh, Z. (2016). Developing a stochastic conflict resolution model for urban runoff quality management: application of info-gap and bargaining theories. Journal of Hydrology, 533, 200–212. https://doi.org/10.1016/j.jhydrol.2015.11.045.

    Article  Google Scholar 

  • Goharian, E., Burian, S., Bardsley, T., and Strong, C. (2015). Incorporating potential severity into vulnerability assessment of water supply systems under climate change conditions. Journal Water Resources Planning Management, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000579, 04015051.

  • Gornitz, V., Couch, S., & Hartig, E. (2002). Impacts of sea level rise in the New York City metropolitan area. Global and Planetary Changes, 32, 61–88.

    Article  Google Scholar 

  • Gill, S. E., Handley, J. F., Ennos, A. R., & Pauleit, S. (2007). Adapting cities to climate change: the role of the green infrastructure. Built Environment, 33(1), 115–133.

    Article  Google Scholar 

  • Ghazal, R., Ardeshir, A., & Rad, I. Z. (2014). Climate change and stormwater management strategies in Tehran. Procedia Engineering, 89, 780–787.

    Article  Google Scholar 

  • Hallegatte, S., Green, C., Nicholls, R. J., & Corfee-Morlot, J. (2013). Future flood losses in major coastal cities. Nature Climate Change, 3(9), 802–806.

    Article  Google Scholar 

  • Hanson, S., Nicholls, R., Ranger, N., Hallegatte, S., Corfee-Morlot, J., Herweijer, C., & Chateau, J. (2011). A global ranking of port cities with high exposure to climate extremes. Climatic Change, 104(1), 89–111.

    Article  Google Scholar 

  • Hastings, W. K. (1970). Monte Carlo sampling methods using Markov chains and their applications. Biometrika, 57(1), 97–109. https://doi.org/10.1093/biomet/57.1.97. ISSN 0006-3444.

    Article  Google Scholar 

  • Herrera-Pantoja, M., & Hiscock, K. M. (2015). Projected impacts of climate change on water availability indicators in a semi-arid region of central Mexico. Environmental Science and Policy, 54, 81–89.

    Article  Google Scholar 

  • Karamouz, M., and Nazif, S. (2013). Reliability-based flood management in urban watersheds considering climate change impacts. Journal Water Resources Planning Management., https://doi.org/10.1061/(ASCE)WR.1943-5452.0000345, 520–533.

  • Karamouz, M., & Zahmatkesh, Z. (2016). Quantifying resilience and uncertainty in coastal flooding events: Framework for assessing urban vulnerability. Journal of Water Resources Planning and Management, 143(1), 04016071.

    Article  Google Scholar 

  • Karamouz, M., Goharian, E., & Nazif, S. (2013a). Reliability assessment of the water supply systems under uncertain future extreme climate conditions. Earth Interactions, 17(20), 1–27.

    Article  Google Scholar 

  • Karamouz, M., Zahmatkesh, Z., Goharian E., Nazif, S. (2014a). Combined impact of inland and coastal floods: mapping knowledge base for development of planning strategies, Journal of Water Resources Planning and Management, 04014098-1- 04014098-.

  • Karamouz, M., Zahmatkesh, Z., Nazif, S., & Razmi, A. (2014b). An evaluation of climate change impacts on extreme sea level variability: COASTAL area of New York City. Water Resources Management, DOI: DOI. https://doi.org/10.1007/s11269-014-0698-8.

  • Kolen, B., Kutschera, G., & Helsoot, I. (2009). A comparison between the Netherlands and Germany of evacuation in case of extreme flooding. COST09 Paris (France).

  • Kovács, A., & Clement, A. (2009). Impacts of the climate change on runoff and diffuse phosphorus load to Lake Balaton (Hungary). Water Science and Technology, 59(3), 417–423. https://doi.org/10.2166/wst.2009.883.

    Article  Google Scholar 

  • Kundzewicz, Z. W. (2002). Non-structural flood protection and sustainability. Water International, 27(1), 3–13.

    Article  Google Scholar 

  • Nahiduzzaman, K. M., Aldosary, A. S., & Rahman, M. T. (2015). Flood induced vulnerability in strategic plan making process of Riyadh city. Habitat International, 49, 375–385.

    Article  Google Scholar 

  • National Geographic, (2013). http://news.nationalgeographic.com/news/2013/08/130819-hurricane-sandy-commission-report-new-york-weather-climate-change/

  • Nicholls, R. J., et al. (2007). Change, I. C. Impacts, adaptation and vulnerability. contribution of working group to the fourth assessment report of the intergovernmental panel on climate change. UK and New York, USA: Cambridge University Press.

    Google Scholar 

  • Nicholls, R. J. (1995). Coastal megacities and climate change. GeoJournal, 37(3), 369–379.

    Article  Google Scholar 

  • Nie, L., Lindholm, O., & Braskerud, B. (2009). Urban flood management in a changing climate. Vann, 2, 203–213.

    Google Scholar 

  • Nienhuis, P. H. (2008). Environmental history of the Rhine-Meuse Delta: an ecological story on evolving human-environmental relations coping with climate change and sea-level rise. Springer Science & Business Media.

  • Muis, S., Güneralp, B., Jongman, B., Aerts, J. C., & Ward, P. J. (2015). Flood risk and adaptation strategies under climate change and urban expansion: a probabilistic analysis using global data. Science of the Total Environment, 538, 445–457.

    Article  CAS  Google Scholar 

  • Pelling, M. (2003). Vulnerability of cities: natural disasters and social resilience. London, UK: Earthscan Publications.

    Google Scholar 

  • Pyke, C., et al. (2011). Assessment of low impact development for managing stormwater with changing rainfall due to climate change. Landscape Urban Plann., 103(2), 166–173.

    Article  Google Scholar 

  • Qin, H. P., Li, Z. X., & Fu, G. (2013). The effects of low impact development on urban flooding under different rainfall characteristics. Journal of Environmental Management, 129, 577–585.

    Article  Google Scholar 

  • Schelfaut, K., Pannemans, B., van der Craats, I., Krywkow, J., Mysiak, J., & Cools, J. (2011). Bringing flood resilience into practice: the FREEMAN project. Environmental Science and Policy, 14(7), 825–833.

    Article  Google Scholar 

  • Schueler, T. R. (1994). The importance of imperviousness. Watershed Protection Techniques, 1, 100–111.

    Google Scholar 

  • Semadeni-Davies, A., Hernebring, C., Svensson, G., & Gustafsson, L. G. (2008). The impacts of climate change and urbanization on drainage in Helsingborh, Sweden: suburban stormwater. Journal of Hydrology, 350(1–2), 114–125.

    Article  Google Scholar 

  • Sin, J., Jun, C., Zhu, J. H., & Yoo, C. (2014). Evaluation of flood runoff reduction effect of LID (Low Impact Development) based on the decrease in CN: case studies from Gimcheon Pyeonghwa district, Korea. Procedia Engineering, 70, 1531–1538.

    Article  Google Scholar 

  • Sullivan, J. J., R. A. Bradford, M. Bonaiuto, S. De Dominicis, P. Rotko, J. Aaltonen, K. Waylen, and S. J. Langan. (2012) Enhancing flood resilience through improved risk communications..

  • Sutherland, R. C. (1995). Methodology for estimating the effective impervious area of urban watersheds. Watershed Protection Techniques, 2, 282–284.

    Google Scholar 

  • Tofiq, F. A., & Güven, A. (2015). Potential changes in inflow design flood under future climate projections for Darbandikhan Dam. Journal of Hydrology, 528, 45–51.

    Article  Google Scholar 

  • Van Dongeren, A., Ciavola, P., Viavattene, C., De Kleermaeker, S., Martinez, G., Ferreira, O., et al. (2014). RISC-KIT: resilience-increasing strategies for coasts-tool kit. Journal of Coastal Research, 70(sp1), 366–371.

    Article  Google Scholar 

  • Van Asselt, M. B. A., Middelkoop, H., Van't Klooster, S. A., Van Deursen, W. P. A., Haasnoot, M., Kwadijk, J. C. J., et al. (2001). Development of flood management strategies for the Rhine and Meuse basins in the context of integrated river management. Netherlands Centre for River Studies publication, 16–2001.

  • Verhoeven, et al. (2013). Rotterdam resilience strategy, consultation document. City of: Rotterdam / Urban Development.

    Google Scholar 

  • Wilby, R. L. (2008). Water, hydropower and climate change. Water Resource Management, CEATI, Montreal, Canada, October 8–9.

  • Woldemeskel, F. M., Sharma, A., Sivakumar, B., & Mehrotra, R. (2014). A framework to quantify GCM uncertainties for use in impact assessment studies. Journal of Hydrology, 519, 1453–1465.

    Article  Google Scholar 

  • Yazdi, J., & Neyshabouri, S. S. (2014). Identifying low impact development strategies for flood mitigation using a fuzzy-probabilistic approach. Environmental Modelling and Software, 60, 31–44.

    Article  Google Scholar 

  • York, C., Goharian, E., & Burian, S. (2015). Impacts of large-scale stormwater green infrastructure implementation and climate variability on receiving water response in the Salt Lake City area. American Journal of Environmental Science, 2015, 11(4), 278–292. https://doi.org/10.3844/ajessp.2015.278.292.

    Article  Google Scholar 

  • Zahmatkesh, Z., Burian, S. J., Karamouz, M., Tavakol-Davani, H., & Goharian, E. (2014a). Low-impact development practices to mitigate climate change effects on urban stormwater runoff: Case study of New York City. Journal of Irrigation and Drainage Engineering, 141(1), 04014043.

  • Zahmatkesh, Z., Karamouz, M., Goharian, E., and Burian, S. J. (2014b). Analysis of the effects of climate change on urban storm water runoff using statistically downscaled precipitation data and a change factor approach. Journal of Hydrologic Engineering, 20(7), 05014022.

    Article  Google Scholar 

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Acknowledgments

The second author was formerly a research professor at the New York University.

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Authors and Affiliations

  1. Department of Civil Engineering, Faculty of Engineering, McMaster University, Hamilton, ON, Canada

    Zahra Zahmatkesh

  2. School of Civil Engineering, University of Tehran, Tehran, Iran

    Mohammad Karamouz

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  1. Zahra Zahmatkesh
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  2. Mohammad Karamouz
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Correspondence to Zahra Zahmatkesh.

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Zahmatkesh, Z., Karamouz, M. An uncertainty-based framework to quantifying climate change impacts on coastal flood vulnerability: case study of New York City. Environ Monit Assess 189, 567 (2017). https://doi.org/10.1007/s10661-017-6282-y

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