Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.102
IF3.102
IF 5-year value: 3.284
IF 5-year
3.284
CiteScore value: 5.1
CiteScore
5.1
SNIP value: 1.37
SNIP1.37
IPP value: 3.21
IPP3.21
SJR value: 1.005
SJR1.005
Scimago H <br class='widget-line-break'>index value: 90
Scimago H
index
90
h5-index value: 42
h5-index42
Download
Short summary
Compound flooding is caused by multiple mechanisms contributing to elevated water level simultaneously, which poses higher risks than conventional floods. This study uses a holistic approach to simulate the processes on a wide range of spatial and temporal scales that contribute to the compound flooding during Hurricane Florence in 2018. Sensitivity tests are used to isolate the contribution from each mechanism and identify the region experiencing compound effects, thus supporting management.
Altmetrics
Preprints
https://doi.org/10.5194/nhess-2020-389
https://doi.org/10.5194/nhess-2020-389

  08 Dec 2020

08 Dec 2020

Review status: this preprint is currently under review for the journal NHESS.

A cross-scale study for compound flooding processes during Hurricane Florence

Fei Ye1, Wei Huang1, Yinglong J. Zhang1, Saeed Moghimi2, Edward Myers2, Shachak Pe’eri2, and Hao-Cheng Yu1 Fei Ye et al.
  • 1Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, 23062, USA
  • 2NOAA National Ocean Service, Silver Spring, 20910, USA

Abstract. We study the compound flooding processes as occurred in Hurricane Florence (2018) that was accompanied by heavy precipitation, using a 3D creek-to-ocean hydrodynamic model. We examine the important role played by barrier islands in the observed compound surges in the coastal watershed. Locally very high resolution is used in some watershed areas in order to resolve small features that turn out to be critical for capturing the observed High Water Marks locally. The wave effects are found to be significant near barrier islands and have contributed to some observed over-toppings and breaches. Sensitivity results from applying each of the three major forcing factors (oceanic, fluvial and pluvial) separately are succinctly summarized in a dominance map that highlights significant compound effects in most of the affected coastal watersheds, estuaries and back bays behind the barrier islands. Operational forecasts based on the current model are being set up at NOAA to help coastal resource and emergency managers with disaster planning and mitigation effort.

Fei Ye et al.

 
Status: open (extended)
Status: open (extended)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Fei Ye et al.

Fei Ye et al.

Viewed

Total article views: 286 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
234 48 4 286 3 5
  • HTML: 234
  • PDF: 48
  • XML: 4
  • Total: 286
  • BibTeX: 3
  • EndNote: 5
Views and downloads (calculated since 08 Dec 2020)
Cumulative views and downloads (calculated since 08 Dec 2020)

Viewed (geographical distribution)

Total article views: 249 (including HTML, PDF, and XML) Thereof 245 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Jan 2021
Publications Copernicus
Download
Short summary
Compound flooding is caused by multiple mechanisms contributing to elevated water level simultaneously, which poses higher risks than conventional floods. This study uses a holistic approach to simulate the processes on a wide range of spatial and temporal scales that contribute to the compound flooding during Hurricane Florence in 2018. Sensitivity tests are used to isolate the contribution from each mechanism and identify the region experiencing compound effects, thus supporting management.
Citation
Altmetrics