https://doi.org/10.1038/s41598-021-84701-z ·
Journal: Scientific Reports, 2021, №1
Publisher: Springer Science and Business Media LLC
Authors: Y. Peter Sheng, Adail A. Rivera-Nieves, Ruizhi Zou, Vladimir A. Paramygin
Abstract
AbstractCoastal communities in New Jersey (NJ), New York (NY), and Connecticut (CT) sustained huge structural loss during Sandy in 2012. We present a comprehensive science-based study to assess the role of coastal wetlands in buffering surge and wave in the tri-state by considering Sandy, a hypothetical Black Swan (BS) storm, and the 1% annual chance flood and wave event. Model simulations were conducted with and without existing coastal wetlands, using a dynamically coupled surge-wave model with two types of coastal wetlands. Simulated surge and wave for Sandy were verified with data at numerous stations. Structural loss estimated using real property data and latest damage functions agreed well with loss payout data. Results show that, on zip-code scale, the relative structural loss varies significantly with the percent wetland cover, the at-risk structural value, and the average wave crest height. Reduction in structural loss by coastal wetlands was low in Sandy, modest in the BS storm, and significant in the 1% annual chance flood and wave event. NJ wetlands helped to avoid 8%, 26%, 52% loss during Sandy, BS storm, and 1% event, respectively. This regression model can be used for wetland restoration planning to further reduce structural loss in coastal communities.
Funders
- NERRS Science Collaborative (NSC) Program
- NOAA Climate Office
List of references
- Blake, E. S., Kimberlain, T. B., Berg, R. J., Cangialosi, J. P. & Beven, J. L. Tropical Cyclone Report Hurricane Sandy (AL182012) 22–29 October 2012. (2013).
- Wikipedia. New York Metropolitan Area. https://en.wikipedia.org/wiki/New_York_metropolitan_area#cite_note-CombinedEst2016-14. Accessed 6 July 2017.
- McCallum, B. E. et al. Monitoring storm tide and flooding from Hurricane Sandy along the Atlantic coast of the United States, October 2012. Open-File Rep. https://doi.org/10.3133/OFR20131043 (2013).
https://doi.org/10.3133/OFR20131043 - Krauss, K. W. et al. Water level observations in mangrove swamps during two hurricanes in Florida. Wetlands 29, 142–149 (2009).
https://doi.org/10.1672/07-232.1 - Shepard, C. C., Crain, C. M. & Beck, M. W. The protective role of coastal marshes: A systematic review and meta-analysis. PLoS ONE 6, e27374 (2011).
https://doi.org/10.1371/journal.pone.0027374 - Duarte, C. M., Losada, I. J., Hendriks, I. E., Mazarrasa, I. & Marbà, N. The role of coastal plant communities for climate change mitigation and adaptation. Nat. Clim. Change 3, 961–968 (2013).
https://doi.org/10.1038/nclimate1970 - Möller, I. et al. Addendum: Wave attenuation over coastal salt marshes under storm surge conditions. Nat. Geosci. 7, 848–848 (2014).
https://doi.org/10.1038/ngeo2287 - Wamsley, T. V., Cialone, M. A., Smith, J. M., Atkinson, J. H. & Rosati, J. D. The potential of wetlands in reducing storm surge. Ocean Eng. 37, 59–68 (2010).
https://doi.org/10.1016/j.oceaneng.2009.07.018 - Luettich, R. A., Westerink, J. J. & Scheffner, N. W. ADCIRC: An Advanced Three-Dimensional Circulation Model for Shelves Coasts and Estuaries, Report 1: Theory and Methodology of ADCIRC-2DDI and ADCIRC-3DL, Dredging Research Program Technical Report DRP-92–6. Dredging Research Program Technical Report DRP-92–6, U.S. Army Engineers Waterways Experiment Station, Vicksburg, MS (1992).
- Luettich, R. A. & Westerink, J. J. Formulation and Numerical Implementation of the 2D/3D ADCIRC Finite Element Model Version 44.XX (2004). https://adcirc.org/files/2018/11/adcirc_theory_2004_12_08.pdf. Accessed 15 July 2018.
- Sheng, Y. P., Lapetina, A. & Ma, G. The reduction of storm surge by vegetation canopies: Three-dimensional simulations. Geophys. Res. Lett. 39, 053577 (2012).
https://doi.org/10.1029/2012GL053577 - Sheng, Y. P. & Zou, R. Assessing the role of mangrove forest in reducing coastal inundation during major hurricanes. Hydrobiologia 803, 87–103 (2017).
https://doi.org/10.1007/s10750-017-3201-8 - Narayan, S. et al. The value of coastal wetlands for flood damage reduction in the northeastern USA. Sci. Rep. https://doi.org/10.1038/s41598-017-09269-z (2017).
https://doi.org/10.1038/s41598-017-09269-z - Danish Hydraulic Institute. MIKE 21 & MIKE 3 Flow Model FM Hydrodynamic Module: Short Description (2016).
- Lathrop, R. G., Irving, W., Seneca, J. J., Trimble, J. & Sacatelli, R. M. The limited role salt marshes may have in buffering extreme storm surge events: Case study on the New Jersey shore. Ocean Coast. Manage 178, 104803 (2019).
https://doi.org/10.1016/j.ocecoaman.2019.05.005 - Rezaie, A. M., Loerzel, J. & Ferreira, C. M. Valuing natural habitats for enhancing coastal resilience: Wetlands reduce property damage from storm surge and sea level rise. PLoS ONE 15, e0226275 (2020).
https://doi.org/10.1371/journal.pone.0226275 - Loerzel, J. et al. Economic valuation of shoreline protection within the Jacques Cousteau National Estuarine Research Reserve (2017) https://doi.org/10.7289/V5/TM-NOS-NCCOS-234.
https://doi.org/10.7289/V5/TM-NOS-NCCOS-234 - Narayan, S. et al. Valuing the Flood Risk Reduction Benefits of Florida’s Mangroves (The Nature Conservancy, 2019). Accessed 10 October 2019.
- U.S. Army Corps of Engineers (USACE). Economic Guidance Memorandum (EGM) 04–01, Generic Depth-Damage Relationships for Residential Structures with Basem*nts. (2003). https://planning.erdc.dren.mil/toolbox/library/EGMs/egm04-01.pdf. Accessed 10 October 2019.
- Federal Emergency Management (FEMA). Multi-hazard Loss Estimation Methodology. Flood Model. HAZUS\Textregistered-MH MR5. Technical Manual (2006). https://www.fema.gov/media-library-data/20130726-1820-25045-8292/hzmh2_1_fl_tm.pdf. Accessed 3 August 2019.
- U.S. Army Corps of Engineers (USACE). Physical Depth Damage Function Summary Report, North Atlantic Comprehensive Coastal Study: Resilient Adaptation to Increasing Risk (2015). http://www.nad.usace.army.mil/Portals/40/docs/NACCS/10A_PhysicalDepthDmgFxSummary_26Jan2015.pdf. Accessed 4 November 2017.
- Lapetina, A. & Sheng, Y. P. Three-dimensional modeling of storm surge and inundation including the effects of coastal vegetation. Estuaries Coasts 37, 1028–1040 (2014).
https://doi.org/10.1007/s12237-013-9730-0 - Lapetina, A. & Sheng, Y. P. Simulating complex storm surge dynamics: Three-dimensionality, vegetation effect, and onshore sediment transport. J. Geophys. Res. Ocean. 120, 7363–7380 (2015).
https://doi.org/10.1002/2015JC010824 - National Flood Insurance Program (NFIP). FEMA NFIP Redacted Claims Data Set (2019). https://www.fema.gov/media-library/assets/documents/180374. Accessed 1 December 2019.
https://doi.org/10.32473/edis-dh204-2019 - Booij, N., Ris, R. C. & Holthuijsen, L. H. A third-generation wave model for coastal regions: 1. Model description and validation. J. Geophys. Res. Ocean. 104, 7649–7666 (1999).
https://doi.org/10.1029/98JC02622 - The WAVEWATCH III Development Group (WW3DG). User manual and system documentation of WAVEWATCH III version 6.07 Tech. Note 333, NOAA/NWS/NCEP/MMAB (2019).
- Hall, T. M. & Sobel, A. H. On the impact angle of Hurricane Sandy’s New Jersey landfall. Geophys. Res. Lett. 40, 2312–2315 (2013).
https://doi.org/10.1002/grl.50395 - Yang, K., Paramygin, V. A. & Sheng, Y. P. An objective and efficient method for estimating probabilistic coastal inundation hazards. Nat. Hazards 99, 1105–1130 (2019).
https://doi.org/10.1007/s11069-019-03807-w - Sheng, Y. P., Alymov, V. & Paramygin, V. A. Simulation of storm surge, wave, currents, and inundation in the outer banks and Chesapeake bay during Hurricane Isabel in 2003: The importance of waves. J. Geophys. Res. Ocean. 115, C04008 (2010).
https://doi.org/10.1029/2009JC005402 - New Jersey Department of Enviromental Propetction (NJDEP). New Jersey Land Use/Land Cover (LU/LC) (2015). https://www.state.nj.us/dep/gis/lulc12.html.
- Luhar, M. & Nepf, H. M. From the blade scale to the reach scale: A characterization of aquatic vegetative drag. Adv. Water Resour. 51, 305–316 (2013).
https://doi.org/10.1016/j.advwatres.2012.02.002 - Chapman, J. A., Wilson, B. N. & Gulliver, J. S. Drag force parameters of rigid and flexible vegetal elements. Water Resour. Res. 51, 3292–3302 (2015).
https://doi.org/10.1002/2014WR015436 - Yang, K., Paramygin, V. A. & Sheng, Y. P. A rapid forecasting and mapping system of storm surge and coastal flooding. Weather Forecast. 35, 1663–1681 (2020).
https://doi.org/10.1175/WAF-D-19-0150.1 - Sweet, W. V. et al. Global and Regional Sea Level Rise Scenarios for the United States (2017). https://tidesandcurrents.noaa.gov/publications/techrpt83_Global_and_Regional_SLR_Scenarios_for_the_US_final.pdf. Accessed 8 December 2017.
- Sheng, Y. P., Zhang, Y. & Paramygin, V. A. Simulation of storm surge, wave, and coastal inundation in the Northeastern Gulf of Mexico region during Hurricane Ivan in 2004. Ocean Model. 35, 314–331 (2010).
https://doi.org/10.1016/j.ocemod.2010.09.004 - Paramygin, V. A., Sheng, Y. P. & Davis, J. Towards the development of an operational forecast system for the Florida coast. J. Mar. Sci. Eng. 5, 8 (2017).
https://doi.org/10.3390/jmse5010008 - Sheng, Y. P. A Three-Dimensional Mathematical Model of Coastal, Estuarine and Lake Currents Using Boundary-fitted Grid. Technical Report No. 585 (1986).
- Sheng, Y. P. Evolution of a three-dimensional curvilinear-grid hydrodynamic model for estuaries, lakes and coastal waters: CH3D. In Estuarine and Coastal Modeling, 40–49 (1989).
- Homer, C. G. et al. Completion of the 2011 National Land Cover Database for the conterminous United States—Representing a decade of land cover change information. Photogramm. Eng. Remote Sensing 81, 345–354 (2015).
- Mattocks, C. & Forbes, C. A real-time, event-triggered storm surge forecasting system for the state of North Carolina. Ocean Model. 25, 95–119 (2008).
https://doi.org/10.1016/j.ocemod.2008.06.008 - Mukai, A. Y., Westerink, J. J., Luettich, R. A. J. & Mark, D. Eastcoast 2001, A Tidal Constituent Database for Western North Atlantic, Gulf of Mexico, and Caribbean Sea (2002).
- Wang, H., Loftis, J., Liu, Z., Forrest, D. & Zhang, J. The Storm Surge and Sub-Grid Inundation Modeling in New York City during Hurricane Sandy. J. Mar. Sci. Eng. 2, 226–246 (2014).
https://doi.org/10.3390/jmse2010226 - Holland, G. J. An analytic model of the wind and pressure profiles in hurricanes. Mon. Weather Rev. 108, 1212–1218 (1980).
https://doi.org/10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2 - Hall, T. M. & Jewson, S. Statistical modelling of North Atlantic tropical cyclone tracks. Tellus Ser. A Dyn. Meteorol. Oceanogr. 59, 486–498 (2007).
https://doi.org/10.1111/j.1600-0870.2007.00240.x - Hall, T. & Yonekura, E. North American tropical cyclone landfall and SST: A statistical model study. J. Clim. 26, 8422–8439 (2013).
https://doi.org/10.1175/JCLI-D-12-00756.1 - Condon, A. J. & Sheng, Y. P. Optimal storm generation for evaluation of the storm surge inundation threat. Ocean Eng. 43, 13–22 (2012).
https://doi.org/10.1016/j.oceaneng.2012.01.021 - Niedoroda, A. W. et al. Analysis of the coastal Mississippi storm surge hazard. Ocean Eng. 37, 82–90 (2010).
https://doi.org/10.1016/j.oceaneng.2009.08.019 - NJ Office of Information Technology-Office of GIS (NJOGIS). Parcels and MOD-IV Composite of New Jersey (2019). https://njogis-newjersey.opendata.arcgis.com/datasets/406cf6860390467d9f328ed19daa359d. Accessed 15 January 2020.
- Kousky, C. & Walls, M. Floodplain conservation as a flood mitigation strategy: Examining costs and benefits. Ecol. Econ. 104, 119–128 (2014).
https://doi.org/10.1016/j.ecolecon.2014.05.001 - Federal Emergency Management (FEMA). Coastal Mapping Basics | FEMA Region II. http://www.region2coastal.com/resources/coastal-mapping-basics/. Accessed 16 January 2020.
- Collins, D. J. & Lowe, S. P. A Macro Validation Dataset for U.S. Hurricane Models. Casualty Actuarial Society Forum (Casualty Actuarial Society, Arlington, 2001).
- Pielke, R. A. et al. Normalized hurricane damage in the United States: 1900–2005. Nat. Hazards Rev. 9, 29–42 (2008).
https://doi.org/10.1061/(ASCE)1527-6988(2008)9:1(29) - Weinkle, J. et al. Normalized hurricane damage in the continental United States 1900–2017. Nat. Sustain. 1, 808–813 (2018).
https://doi.org/10.1038/s41893-018-0165-2
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