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Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method
Efficient strategies for preparing communities to protect against, respond to, recover from, and mitigate flood hazard are often hampered by the lack of information about the position and extent of flood-prone areas. Hydrologic and hydraulic analyses allow to obtain detailed flood hazard maps, but a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397099/ https://www.ncbi.nlm.nih.gov/pubmed/28459091 http://dx.doi.org/10.1016/j.dib.2017.03.044 |
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author | Samela, Caterina Manfreda, Salvatore Troy, Tara J. |
author_facet | Samela, Caterina Manfreda, Salvatore Troy, Tara J. |
author_sort | Samela, Caterina |
collection | PubMed |
description | Efficient strategies for preparing communities to protect against, respond to, recover from, and mitigate flood hazard are often hampered by the lack of information about the position and extent of flood-prone areas. Hydrologic and hydraulic analyses allow to obtain detailed flood hazard maps, but are a computationally intensive exercise requiring a significant amount of input data, which are rarely available both in developing and developed countries. As a consequence, even in data-rich environments, official flood hazard graduations are often affected by extensive gaps. In the U.S., for instance, the detailed floodplain delineation produced by the Federal Emergency Management Agency (FEMA) is incomplete, with many counties having no floodplain mapping at all. In this article we present a mapping dataset containing 100-year flood susceptibility maps for the continental U.S. with a 90 m resolution. They have been obtained performing a linear binary classification based on the Geomorphic Flood Index (GFI). To the best knowledge of the authors, there are no available flood-prone areas maps for the entire continental U.S. with resolution lower that 30׳׳×30׳׳ (approximatively 1 km at the equator). |
format | Online Article Text |
id | pubmed-5397099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-53970992017-04-28 Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method Samela, Caterina Manfreda, Salvatore Troy, Tara J. Data Brief Data Article Efficient strategies for preparing communities to protect against, respond to, recover from, and mitigate flood hazard are often hampered by the lack of information about the position and extent of flood-prone areas. Hydrologic and hydraulic analyses allow to obtain detailed flood hazard maps, but are a computationally intensive exercise requiring a significant amount of input data, which are rarely available both in developing and developed countries. As a consequence, even in data-rich environments, official flood hazard graduations are often affected by extensive gaps. In the U.S., for instance, the detailed floodplain delineation produced by the Federal Emergency Management Agency (FEMA) is incomplete, with many counties having no floodplain mapping at all. In this article we present a mapping dataset containing 100-year flood susceptibility maps for the continental U.S. with a 90 m resolution. They have been obtained performing a linear binary classification based on the Geomorphic Flood Index (GFI). To the best knowledge of the authors, there are no available flood-prone areas maps for the entire continental U.S. with resolution lower that 30׳׳×30׳׳ (approximatively 1 km at the equator). Elsevier 2017-04-08 /pmc/articles/PMC5397099/ /pubmed/28459091 http://dx.doi.org/10.1016/j.dib.2017.03.044 Text en © 2017 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Samela, Caterina Manfreda, Salvatore Troy, Tara J. Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title | Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_full | Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_fullStr | Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_full_unstemmed | Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_short | Dataset of 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method |
title_sort | dataset of 100-year flood susceptibility maps for the continental u.s. derived with a geomorphic method |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397099/ https://www.ncbi.nlm.nih.gov/pubmed/28459091 http://dx.doi.org/10.1016/j.dib.2017.03.044 |
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