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Flood Hazard Assessment and Mapping: A Case Study from Australia’s Hawkesbury-Nepean Catchment

Floods are among the costliest natural hazards, in Australia and globally. In this study, we used an indicator-based method to assess flood hazard risk in Australia’s Hawkesbury-Nepean catchment (HNC). Australian flood risk assessments are typically spatially constrained through the common use of re...

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Autores principales: Kelly, Matthew, Kuleshov, Yuriy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416639/
https://www.ncbi.nlm.nih.gov/pubmed/36016012
http://dx.doi.org/10.3390/s22166251
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author Kelly, Matthew
Kuleshov, Yuriy
author_facet Kelly, Matthew
Kuleshov, Yuriy
author_sort Kelly, Matthew
collection PubMed
description Floods are among the costliest natural hazards, in Australia and globally. In this study, we used an indicator-based method to assess flood hazard risk in Australia’s Hawkesbury-Nepean catchment (HNC). Australian flood risk assessments are typically spatially constrained through the common use of resource-intensive flood modelling. The large spatial scale of this study area is the primary element of novelty in this research. The indicators of maximum 3-day precipitation (M3DP), distance to river—elevation weighted (DREW), and soil moisture (SM) were used to create the final Flood Hazard Index (FHI). The 17–26 March 2021 flood event in the HNC was used as a case study. It was found that almost 85% of the HNC was classified by the FHI at ‘severe’ or ‘extreme’ level, illustrating the extremity of the studied event. The urbanised floodplain area in the central-east of the HNC had the highest FHI values. Conversely, regions along the western border of the catchment had the lowest flood hazard risk. The DREW indicator strongly correlated with the FHI. The M3DP indicator displayed strong trends of extreme rainfall totals increasing towards the eastern catchment border. The SM indicator was highly variable, but featured extreme values in conservation areas of the HNC. This study introduces a method of large-scale proxy flood hazard assessment that is novel in an Australian context. A proof-of-concept methodology of flood hazard assessment developed for the HNC is replicable and could be applied to other flood-prone areas elsewhere.
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spelling pubmed-94166392022-08-27 Flood Hazard Assessment and Mapping: A Case Study from Australia’s Hawkesbury-Nepean Catchment Kelly, Matthew Kuleshov, Yuriy Sensors (Basel) Article Floods are among the costliest natural hazards, in Australia and globally. In this study, we used an indicator-based method to assess flood hazard risk in Australia’s Hawkesbury-Nepean catchment (HNC). Australian flood risk assessments are typically spatially constrained through the common use of resource-intensive flood modelling. The large spatial scale of this study area is the primary element of novelty in this research. The indicators of maximum 3-day precipitation (M3DP), distance to river—elevation weighted (DREW), and soil moisture (SM) were used to create the final Flood Hazard Index (FHI). The 17–26 March 2021 flood event in the HNC was used as a case study. It was found that almost 85% of the HNC was classified by the FHI at ‘severe’ or ‘extreme’ level, illustrating the extremity of the studied event. The urbanised floodplain area in the central-east of the HNC had the highest FHI values. Conversely, regions along the western border of the catchment had the lowest flood hazard risk. The DREW indicator strongly correlated with the FHI. The M3DP indicator displayed strong trends of extreme rainfall totals increasing towards the eastern catchment border. The SM indicator was highly variable, but featured extreme values in conservation areas of the HNC. This study introduces a method of large-scale proxy flood hazard assessment that is novel in an Australian context. A proof-of-concept methodology of flood hazard assessment developed for the HNC is replicable and could be applied to other flood-prone areas elsewhere. MDPI 2022-08-19 /pmc/articles/PMC9416639/ /pubmed/36016012 http://dx.doi.org/10.3390/s22166251 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kelly, Matthew
Kuleshov, Yuriy
Flood Hazard Assessment and Mapping: A Case Study from Australia’s Hawkesbury-Nepean Catchment
title Flood Hazard Assessment and Mapping: A Case Study from Australia’s Hawkesbury-Nepean Catchment
title_full Flood Hazard Assessment and Mapping: A Case Study from Australia’s Hawkesbury-Nepean Catchment
title_fullStr Flood Hazard Assessment and Mapping: A Case Study from Australia’s Hawkesbury-Nepean Catchment
title_full_unstemmed Flood Hazard Assessment and Mapping: A Case Study from Australia’s Hawkesbury-Nepean Catchment
title_short Flood Hazard Assessment and Mapping: A Case Study from Australia’s Hawkesbury-Nepean Catchment
title_sort flood hazard assessment and mapping: a case study from australia’s hawkesbury-nepean catchment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416639/
https://www.ncbi.nlm.nih.gov/pubmed/36016012
http://dx.doi.org/10.3390/s22166251
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