A Coherent Statistical Model for Coastal Flood Frequency Analysis Under Nonstationary Sea Level Conditions

Ghanbari, Mahshid; Arabi, Mazdak; Obeysekera, Jayantha; Sweet, William

doi:10.1029/2018EF001089

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A Coherent Statistical Model for Coastal Flood Frequency Analysis Under Nonstationary Sea Level Conditions

2019
By Ghanbari, Mahshid ; Arabi, Mazdak ; Obeysekera, Jayantha ; ...
Source: Earth's Future, 7(2), 162-177

[PDF-2.75 MB]

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Details:

Journal Title:

Earth's Future
Personal Author:

Ghanbari, Mahshid ; Arabi, Mazdak ; Obeysekera, Jayantha ; Sweet, William

Ghanbari, Mahshid ; Arabi, Mazdak ; Obeysekera, Jayantha ; Sweet, William Less -
NOAA Program & Office:

NOS (National Ocean Service) ; CO-OPS (Center for Operational Oceanographic Products & Services)

NOS (National Ocean Service) ; CO-OPS (Center for Operational Oceanographic Products & Services) Less -
Description:

Flood exposure is increasing in coastal communities due to rising sea levels. Understanding the effects of sea level rise (SLR) on frequency and consequences of coastal ﬂooding and subsequent social and economic impacts is of utmost importance for policymakers to implement effective adaptationstrategies. Effective strategies may consider impacts from cumulative losses from minor ﬂooding as well as acute losses from major events. In the present study, a statistically coherent Mixture Normal ‐Generalized Pareto Distribution model was developed, which reconciles the probabilistic characteristics of the upper tail as well as the bulk of the sea level data. The nonstationary sea level condition was incorporated in the mixture model using Quantile Regression method to characterize variable
Keywords:

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Earth And Planetary Sciences (miscellaneous) General Environmental Science
Source:

Earth's Future, 7(2), 162-177
DOI:

https://doi.org/10.1029/2018EF001089
ISSN:

2328-4277;2328-4277;
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
Compliance:

Library
Main Document Checksum:

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urn:sha256:fa4cb41d1837b526ac655c0617fc97f81b5ba3e11c68d461496bd2b17071b6dd
Download URL:

https://repository.library.noaa.gov/view/noaa/53236/noaa_53236_DS1.pdf
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