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Effects of DEM resolution on modeling coastal flood vulnerability.

Seenath, Avidesh (2018) 'Effects of DEM resolution on modeling coastal flood vulnerability.', Marine geodesy., 41 (6). pp. 581-604.

Abstract

This article examines whether Digital Elevation Model (DEM) resolution affects the accuracy of predicted coastal inundation extent using LISFLOOD-FP, with application to a sandy coastline in New Jersey. DEMs with resolution ranging from 10 to 100 m were created using coastal elevation data from NOAA, using the North American Vertical Datum of 1988. A two-dimensional hydrodynamic flood model was developed in LISFLOOD-FP using each DEM, all of which were calibrated and validated against an observed 24-h tidal cycle and used to simulate a 1.5 m storm surge. While differences in predicted inundated area from all models were within 1.0%, model performance and computational time worsened and decreased with coarser DEM resolution, respectively. This implied that using a structured grid model for modeling coastal flood vulnerability is based on two trade-offs: high DEM resolution coupled with computational intensity, but higher precision in model predictions, and vice versa. Furthermore, water depth predictions from all DEMs were consistent. Using an integrated numerical modeling and GIS approach, a two-scale modeling strategy, where a coarse DEM is used to predict water levels for projection onto a fine DEM was found to be an effective, and computationally efficient approach for obtaining reliable estimates of coastal inundation extent.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1080/01490419.2018.1504838
Publisher statement:This is an Accepted Manuscript of an article published by Taylor & Francis in Marine geodesy on 23 October 2018 available online: http://www.tandfonline.com/10.1080/01490419.2018.1504838
Date accepted:22 July 2018
Date deposited:07 February 2019
Date of first online publication:23 October 2018
Date first made open access:23 October 2019

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