Literature DB >> 32250914

Assessing and managing design storm variability and projection uncertainty in a changing coastal environment.

Marissa S Liang1, Susan Julius2, Zhifei Dong3, Jill Neal4, Y Jeffrey Yang5.   

Abstract

Coastal urban infrastructure and water management programs are vulnerable to the impacts of long-term hydroclimatic changes and to the flooding and physical destruction of disruptive hurricanes and storm surge. Water resilience or, inversely, vulnerability depends on design specifications of the storm and inundation, against which water infrastructure and environmental assets are planned and operated. These design attributes are commonly derived from statistical modeling of historical measurements. Here we argue for the need to carefully examine the approach and associated design vulnerability in coastal areas because of the future hydroclimatic changes and large variability at local coastal watersheds. This study first shows significant spatiotemporal variations of design storm in the Chesapeake Bay of the eastern U.S. Atlantic coast, where the low-frequency high-intensity precipitations vary differently to the tropical cyclones and local orographic effects. Average and gust wind speed exhibited much greater spatial but far less temporal variability than the precipitation. It is noteworthy that these local variabilities are not fully described by the regional gridded precipitation used in CMIP5 climate downscaling and by NOAA's regional design guide Atlas-14. Up to 46.4% error in the gridded precipitation for the calibration period 1950-1999 is further exacerbated in the future design values by the ensemble of 132 CMIP5 projections. The total model projection error (δM) up to -61.8% primarily comes from the precipitation regionalization (δ1), climate downscaling (δ2), and a fraction from empirical data modeling (δE). Thus, a post-bias correction technique is necessary. The bias-corrected design wind speed for 10-yr to 30-yr storms has small changes <20% by the year 2100, but contains large spatial variations even for stations of close proximity. Bias-corrected design precipitations are characteristic of large spatial variability and a notable increase of 2-5 year precipitation in the future along western shores of the Lower and Middle Chesapeake Bay. All these accounts point to the potential vulnerability of water infrastructure and water program in coastal areas, when the hydrological design basis using regional values fails to account for significant spatiotemporal precipitation variations in local coastal watersheds. Published by Elsevier Ltd.

Keywords:  Climate adaptation; Climate projection; Coastal flooding; Design storm; System vulnerability; Water infrastructure

Mesh:

Year:  2020        PMID: 32250914      PMCID: PMC7487976          DOI: 10.1016/j.jenvman.2020.110494

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  7 in total

1.  Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison.

Authors:  Cynthia Rosenzweig; Joshua Elliott; Delphine Deryng; Alex C Ruane; Christoph Müller; Almut Arneth; Kenneth J Boote; Christian Folberth; Michael Glotter; Nikolay Khabarov; Kathleen Neumann; Franziska Piontek; Thomas A M Pugh; Erwin Schmid; Elke Stehfest; Hong Yang; James W Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-16       Impact factor: 11.205

Review 2.  Impacts of climate change on rainfall extremes and urban drainage systems: a review.

Authors:  K Arnbjerg-Nielsen; P Willems; J Olsson; S Beecham; A Pathirana; I Bülow Gregersen; H Madsen; V-T-V Nguyen
Journal:  Water Sci Technol       Date:  2013       Impact factor: 1.915

3.  Estimating economic damage from climate change in the United States.

Authors:  Solomon Hsiang; Robert Kopp; Amir Jina; James Rising; Michael Delgado; Shashank Mohan; D J Rasmussen; Robert Muir-Wood; Paul Wilson; Michael Oppenheimer; Kate Larsen; Trevor Houser
Journal:  Science       Date:  2017-06-30       Impact factor: 47.728

4.  Riverine discharges to Chesapeake Bay: Analysis of long-term (1927-2014) records and implications for future flows in the Chesapeake Bay basin.

Authors:  Karen C Rice; Douglas L Moyer; Aaron L Mills
Journal:  J Environ Manage       Date:  2017-09-06       Impact factor: 6.789

5.  Nonstationary precipitation Intensity-Duration-Frequency curves for infrastructure design in a changing climate.

Authors:  Linyin Cheng; Amir AghaKouchak
Journal:  Sci Rep       Date:  2014-11-18       Impact factor: 4.379

6.  The intertropical convergence zone modulates intense hurricane strikes on the western North Atlantic margin.

Authors:  Peter J van Hengstum; Jeffrey P Donnelly; Patricia L Fall; Michael R Toomey; Nancy A Albury; Brian Kakuk
Journal:  Sci Rep       Date:  2016-02-24       Impact factor: 4.379

7.  Extreme oceanographic forcing and coastal response due to the 2015-2016 El Niño.

Authors:  Patrick L Barnard; Daniel Hoover; David M Hubbard; Alex Snyder; Bonnie C Ludka; Jonathan Allan; George M Kaminsky; Peter Ruggiero; Timu W Gallien; Laura Gabel; Diana McCandless; Heather M Weiner; Nicholas Cohn; Dylan L Anderson; Katherine A Serafin
Journal:  Nat Commun       Date:  2017-02-14       Impact factor: 14.919

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.