Establishing a framework of a watershed-wide screening tool to support the development of watershed-based flood protection plans for low-lying coastal communities

Frederick Bloetscher, Anthony Abbate, Jeffery Huber, Wiebo Liu, Daniel E. Meeroff, Diana Mitsova, S. Nagarajan, Colin Polsky, Hongbo Su, Ramesh Teegavarapu, Zhixiao Xie, Yan Yong, Caiyun Zhang, Richard Jones, Glen Oglesby, Eva Suarez, Jared Weaver, Mushfiqul Hoque, Tucker Hindle

Article ID: 1273
Vol 5, Issue 1, 2021

VIEWS - 1792 (Abstract) 403 (PDF)

Abstract


Flood risk analysis is the instrument by which floodplain and stormwater utility managers create strategic adaptation plans to reduce the likelihood of flood damages in their communities, but there is a need to develop a screening tool to analyze watersheds and identify areas that should be targeted and prioritized for mitigation measures. The authors developed a screening tool that combines readily available data on topography, groundwater, surface water, tidal information for coastal communities, soils, land use, and precipitation data. Using the outputs of the screening tool for various design storms, a means to identify and prioritize improvements to be funded with scarce capital funds was developed, which combines the likelihood of flooding from the screening tool with a consequence of flooding assessment based on land use and parcel size. This framework appears to be viable across cities that may be inundated with water due to sea-level rise, rainfall, runoff upstream, and other natural events. The framework was applied to two communities using the 1-day 100-year storm event: one in southeast Broward County with an existing capital plan and one inland community with no capital plan.


Keywords


flooding; watershed; flood modeling; screening tool; risk; infrastructure prioritization

Full Text:

PDF


References


Adger WN, Pulhin JN, Barnett J, et al. (2014) “Human security”. In: Field CB, Varros VR, Dokken DJ, et al. (Eds.), Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, pp. 755–791. Cambridge, UK: Cambridge University Press. https://doi.org/10.1017/CBO9781107415379.017

Anguelovski I, Shi L, Chu E, et al. (2016). “Equity impacts of urban land use planning for climate adaptation: Critical perspectives from the global North and South”. Journal of Planning Education and Research, 36(3): 333–348. https://doi.org/10.1177/0739456X16645166

Béné C, Cornelius A and Howland F (2018). “Bridging humanitarian responses and long-term development through transformative changes—Some initial reflections from the World Bank’s adaptive social protection program in the Sahel”. Sustainability, 10(6): Article 1697. https://doi.org/10.3390/su10061697

Bloetscher F and Romah T (2015). “Tools for assessing sea level rise vulnerability”. Journal of Water and Climate Change,6(2): 181–190. https://doi.org/10.2166/wcc.2014.045

F and M (2016). “Assessing the impacts of sea level rise using existing data”. Journal of Geoscience and Environment Protection, 4(9): Article 71043. https://doi.org/12

Berry L, et al. (2012). “5(12): 40–51. https://doi.org/10.5539/jsd.v5n12p40

Blok A (2020). “Urban green gentrification in an unequal world of climate change”. Urban Studies, 57(14): Article 0042098019891050. https://doi.org/10.1177/0042098019891050

Bridges TS, Burks-Copes KA, Bates ME, et al. (2015). Use of Natural and Nature-Based Features (NNBF) for Coastal Resilience. Vicksburg, MS, USA: Environmental Laboratory and Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center.

Carter MR and Janzen SA (2018). “Social protection in the face of climate change: Targeting principles and financing mechanisms”. Environment and Development Economics, 23(Special issue 3): 369–389. https://doi.org/10.1017/s1355770x17000407

Chang SW, Clement TP, Simpson MJ and Lee K-K (2011). “Does sea-level rise have an impact on saltwater intrusion?” Advances in Water Resources, 34(10): 1283–1291. http://doi.org/10.1016/j.advwatres.2011.06.006

Chu E (2016) “The political economy of urban climate adaptation and development planning in Surat, India”. Environment and Planning C: Government and Policy, 34(2): 281–298. https://doi.org/10.1177/0263774x15614174

E Sciences (2014). “Groundwater elevation monitoring and mapping six monitoring stations throughout Miami Beach, Miami Beach, Miami-Dade County, Florida”. E Sciences Project Number 7-0002-005. Fort Lauderdale, FL, USA: E Sciences.

Federal Emergency Management Agency (FEMA) (2017) Community Rating System. Washington, DC, USA: FEMA. https://www.fbfl.us/DocumentCenter/View/17848/NFIP_CRS_Fact_Sheet_2017_508OK?bidId=

_____ (2018). National Flood Insurance Program Community Rating System Coordinator’s Manual. Washington, DC, USA: FEMA. https://www.fema.gov/sites/default/files/documents/fema_community-rating-system_local-guide-flood-insurance-2018.pdf

Granberg M and Glover L (2014) “Adaptation and maladaptation in Australian national climate change policy”. Journal of Environmental Policy & Planning, 16(2): 147–159, https://doi.org/10.1080/1523908X.2013.823857

Hallegatte S, Bangalore M, Bonzanigo L et al. (2016). Shock Waves: Managing the Impacts of Climate Change on Poverty. Climate Change and Development. Washington, DC, USA: World Bank.

Juhola S, Glaas E, Linnér B-O and Neset T-S (2016). “Redefining maladaptation”. Environmental Science & Policy, 55: 135–140. https://doi.org/10.1016/j.envsci.2015.09.014

Keenan JM, Hill T and Gumber A (2018). “Climate gentrification: From theory to empiricism in Miami-Dade County, Florida”. Environmental Research Letters, 13(5): 054001–054001. https://doi.org/10.1088/1748-9326/aabb32

Makondo CC and Thomas DSG (2018). “Climate change adaptation: Linking indigenous knowledge with Western science for effective adaptation”. Environmental Science & Policy, 88: 83–91. https://doi.org/10.1016/j.envsci.2018.06.014

Matin N, Forrester J and Ensor J (2018). “What is equitable resilience?” World Development, 109: 197–205. https://doi.org/10.1016/j.worlddev.2018.04.020

Neset T-S, Wiréhn L, Klein N, et al. (2019). “Maladaptation in Nordic agriculture”. Climate Risk Management, 23: 78–87. https://doi.org/10.1016/j.crm.2018.12.003

National Oceanic and Atmospheric Administration (NOAA) (2010). Mapping Inundation Uncertainty. Charleston, SC, USA: NOAA Coastal Services Center.

Overpeck JT and Weiss JL (2009). “Projections of future sea level becoming more dire”. Proceedings of the National Academy of Sciences of the United States of America, 106: 21461–21462. https://doi.org/10.1073/pnas.0912878107

Rice JL, Cohen DA, Long J and Jurjevich JR (2020). “Contradictions of the climate‐friendly city: New perspectives on eco‐gentrification and housing justice”. International Journal of Urban and Regional Research, 44(1): 145–165. https://doi.org/10.1111/1468-2427.12740

Romah T (2011). Advanced Methods in Sea Level Rise Vulnerability Assessment. Master’s thesis. Florida Atlantic University, Boca Raton, Florida, USA.

Scoville-Simonds M, Jamali H and Hufty M (2020). “The hazards of mainstreaming: Climate change adaptation politics in three dimensions”. World Development, 125: Article 104683. https://doi.org/10.1016/j.worlddev.2019.104683

Shi L, Chu E, Anguelovski I, et al. (2016). “Roadmap towards justice in urban climate adaptation research”. Nature Climate Change, 6(2): 131–137. https://doi.org/10.1038/nclimate2841

Shi Z, Watanabe S, Ogawa K and Kubo H (2018). Structural Resilience in Sewer Reconstruction: From Theory to Practice. Oxford, UK: Elsevier.

Shokry G, Connolly JJT and Anguelovski I (2020). “Understanding climate gentrification and shifting landscapes of protection and vulnerability in green resilient Philadelphia”. Urban Climate, 31: Article 100539. https://doi.org/10.1016/j.uclim.2019.100539

Torabi E, Dedekorkut-Howes A and Howes M (2018). “Adapting or maladapting: Building resilience to climate-related disasters in coastal cities”. Cities, 72 Part B: 295–309. https://doi.org/10.1016/j.cities.2017.09.008

Williams DS, Costa MM, Sutherland C, et al. (2019). “Vulnerability of informal settlements in the context of rapid urbanization and climate change”. Environment and Urbanization, 3(1): Article 0956247818819694. https://doi.org/10.1177/0956247818819694

Wood Jr. MB (2016). Using a Groundwater Influenced Sea Level Rise Model to Assess the Costs Due to Sea-Level Rise on a Coastal Community’s Stormwater Infrastructure Using Limited Groundwater Data. Master’s thesis. Florida Atlantic University, Boca Raton, Florida, USA.

Zhang C, Su H, Li T, et al. (2020). “Modeling and mapping high water table for a coastal region in Florida using Lidar DEM data”. Groundwater, 5(2): 190–198.




DOI: https://doi.org/10.24294/jipd.v5i1.1273

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Frederick Bloetscher, Anthony Abbate, Jeffery Huber, Wiebo Liu, Daniel E. Meeroff, Diana Mitsova, S. Nagarajan, Colin Polsky, Hongbo Su, Ramesh Teegavarapu, Zhixiao Xie, Yan Yong, Caiyun Zhang, Richard Jones, Glen Oglesby, Eva Suarez, Jared Weaver, Mushfi

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This site is licensed under a Creative Commons Attribution 4.0 International License.