Methodology for Applying GIS to Evaluate Hydrodynamic Model Performance in Predicting Coastal Inundation

Reid, Sergey K.; Tissot, Philippe; Williams, Deidre D.

doi:10.2112/jcoastres-d-13-00160.1

Cited by 6 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Field measurements can be integrated with remote sensing measurements from aircraft or satellites to observe changes in surface water extent and obtain other hydrologic information. River discharge estimates can be obtained using high-resolution satellite data and a few ground measurements (Brivio et al, 2002;Reid, Tissot, and Williams, 2014;Smith, 1997).…”

Section: Remote Sensing Of Flood Extentmentioning

confidence: 99%

Remote Sensing of Floods and Flood-Prone Areas: An Overview

Klemas

2015

Journal of Coastal Research

163

100

View full text Add to dashboard Cite

Klemas, V., 2015. Remote sensing of floods and flood-prone areas: An overview. Journal of Coastal Research, 31(4), 1005-1013. Coconut Creek (Florida), ISSN 0749-0208.River floods and coastal storm surges affect the lives of more people than most other weather-related disasters. Floods can destroy homes, roads, and bridges; tear out trees; cause mudslides; and take many human lives. During flooding, timely and detailed situation reports are required by disaster management authorities to locate and identify affected areas and to implement damage mitigation. Remote sensing systems on satellites and aircraft can provide much of the required information for delineating the flood-affected areas, assessing the damage, and feeding models that can predict the vulnerability to flooding of inland and coastal areas. In this article, I provide an overview of remote sensing and modeling techniques for forecasting the vulnerability to flooding of an area, determining the extent and intensity of the flooding, and assessing the damage caused by the flood.ADDITIONAL INDEX WORDS: Flood remote sensing, coastal flooding, storm surge, river flooding, flooding vulnerability, flood damage assessment.

show abstract

Section: Remote Sensing Of Flood Extentmentioning

confidence: 99%

Remote Sensing of Floods and Flood-Prone Areas: An Overview

Klemas

2015

Journal of Coastal Research

163

100

View full text Add to dashboard Cite

show abstract

Section: Remote Sensing Of Flood Extentmentioning

confidence: 99%

“…rain and stream gauges). The output of a typical hydrodynamic model provides georeferenced predictions that can be used to delineate a wet/dry boundary (Li, Lin, and Burks-Copes, 2013;Mason, Bates, and Amico, 2009;Reid, Tissot, and Williams, 2014;Townsend and Walsh, 1998).…”

Section: Assessing Vulnerability To Floodingmentioning

confidence: 99%

“…Reid, Tissot, and Williams (2014) present two geospatial methods that complement in situ point-based validation. The methods utilize the coastal modeling system (CMS) hydrodynamic model and ArcMap software.…”

Section: Assessing Vulnerability To Floodingmentioning

confidence: 99%

“…Analyses showed agreement between model predictions and classified imagery ranging from 69% to 91%. These methodologies expand capabilities to assess and improve hydrodynamic model predictions, particularly for delineating inundation in shallow coastal environments (Reid, Tissot, and Williams, 2014).…”

Section: Assessing Vulnerability To Floodingmentioning

confidence: 99%

See 2 more Smart Citations

Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A.

Lin

Burks-Copes

2013

Journal of Coastal Research

View full text Add to dashboard Cite

Assessing Tidal Hydrodynamics in a Tropical Seascape Using Structure‐from‐Motion Photogrammetry and 2D Flow Modelling

Vulliet,

Koci,

Jarihani

et al. 2023

Estuaries and Coasts

View full text Add to dashboard Cite

Tidal wetlands continue to be threatened by changes in seascape hydrological regime and connectivity resulting from human activities (e.g. urbanisation, engineered barriers) and climate change. Reliable and parsimonious models that can be used by managers and practitioners to simulation tidal wetland hydroperiod dynamics (duration, depth, and frequency of tidal inundation) at high-resolution are limited presumably because these ecosystems have very low elevation across their flooding plain. Here, we developed a two-dimensional hydrodynamic model parameterised using a high-resolution (3 cm) and accurate (8-cm RMSE elevation error) digital elevation model (DEM) and land cover map (2-cm resolution) derived from unoccupied aerial vehicles (UAVs) structure from motion photogrammetry (SfM) to assist in the understanding of tidal wetland hydroperiod and hydrological connectivity of an upper tidal Australian tropical seascape. Ground-based water level datasets were used to calibrate and validate the model with higher accuracy (RMSE = 7 cm between maximum observed and simulated depth). The high-resolution approach demonstrates how small changes in topography such as vehicle tracks can interfere with hydrological connectivity. Centimetre-changes in tidal height resulted in important variations (10 ha) in the total area of the wetland being inundated, suggesting that small anthropogenic modifications of tidal inputs (e.g. culverts and sea-level rise) might have important implications on tidal wetland inundation patterns. Despite challenges related to reconstructing topography in densely vegetated areas and obtaining bathymetric data, the method developed here represents an accurate and cost-effective approach to quantify tidal wetland hydroperiod. This approach assists in planning, defining, and implementing effective and measurable restoration and protection projects of tidal wetland ecosystems. Graphical Abstract

show abstract

Methodology for Applying GIS to Evaluate Hydrodynamic Model Performance in Predicting Coastal Inundation

Cited by 6 publications

References 20 publications

Remote Sensing of Floods and Flood-Prone Areas: An Overview

Remote Sensing of Floods and Flood-Prone Areas: An Overview

Modeling of Coastal Inundation, Storm Surge, and Relative Sea-Level Rise at Naval Station Norfolk, Norfolk, Virginia, U.S.A.

Assessing Tidal Hydrodynamics in a Tropical Seascape Using Structure‐from‐Motion Photogrammetry and 2D Flow Modelling

Contact Info

Product

Resources

About