Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Samela, Caterina, Manfreda, Salvatore, Troy, Tara J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
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
_version_ 1783230201098928128
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
work_keys_str_mv AT samelacaterina datasetof100yearfloodsusceptibilitymapsforthecontinentalusderivedwithageomorphicmethod
AT manfredasalvatore datasetof100yearfloodsusceptibilitymapsforthecontinentalusderivedwithageomorphicmethod
AT troytaraj datasetof100yearfloodsusceptibilitymapsforthecontinentalusderivedwithageomorphicmethod