Cargando…

U.S. national water and energy land dataset for integrated multisector dynamics research

Understanding resource demands and tradeoffs among energy, water, and land socioeconomic sectors requires an explicit consideration of spatial scale. However, incorporation of land dynamics within the energy-water nexus has been limited due inconsistent spatial units of observation from disparate da...

Descripción completa

Detalles Bibliográficos
Autores principales: Sturtevant, Jillian, McManamay, Ryan A., DeRolph, Christopher R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021314/
https://www.ncbi.nlm.nih.gov/pubmed/35444212
http://dx.doi.org/10.1038/s41597-022-01290-w
_version_ 1784689786575912960
author Sturtevant, Jillian
McManamay, Ryan A.
DeRolph, Christopher R.
author_facet Sturtevant, Jillian
McManamay, Ryan A.
DeRolph, Christopher R.
author_sort Sturtevant, Jillian
collection PubMed
description Understanding resource demands and tradeoffs among energy, water, and land socioeconomic sectors requires an explicit consideration of spatial scale. However, incorporation of land dynamics within the energy-water nexus has been limited due inconsistent spatial units of observation from disparate data sources. Herein we describe the development of a National Water and Energy Land Dataset (NWELD) for the conterminous United States. NWELD is a 30-m, 86-layer rasterized dataset depicting the land use of mappable components of the United States energy sector life cycles (and related water used for energy), specifically the extraction, development, production, storage, distribution, and operation of eight renewable and non-renewable technologies. Through geospatial processing and programming, the final products were assembled using four different methodologies, each depending upon the nature and availability of raw data sources. For validation, NWELD provided a relatively accurate portrayal of the spatial extent of energy life cycles yet displayed low measures of association  with mainstream land cover and land use datasets, indicating the provision of new land use information for the energy-water nexus.
format Online
Article
Text
id pubmed-9021314
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-90213142022-04-28 U.S. national water and energy land dataset for integrated multisector dynamics research Sturtevant, Jillian McManamay, Ryan A. DeRolph, Christopher R. Sci Data Data Descriptor Understanding resource demands and tradeoffs among energy, water, and land socioeconomic sectors requires an explicit consideration of spatial scale. However, incorporation of land dynamics within the energy-water nexus has been limited due inconsistent spatial units of observation from disparate data sources. Herein we describe the development of a National Water and Energy Land Dataset (NWELD) for the conterminous United States. NWELD is a 30-m, 86-layer rasterized dataset depicting the land use of mappable components of the United States energy sector life cycles (and related water used for energy), specifically the extraction, development, production, storage, distribution, and operation of eight renewable and non-renewable technologies. Through geospatial processing and programming, the final products were assembled using four different methodologies, each depending upon the nature and availability of raw data sources. For validation, NWELD provided a relatively accurate portrayal of the spatial extent of energy life cycles yet displayed low measures of association  with mainstream land cover and land use datasets, indicating the provision of new land use information for the energy-water nexus. Nature Publishing Group UK 2022-04-20 /pmc/articles/PMC9021314/ /pubmed/35444212 http://dx.doi.org/10.1038/s41597-022-01290-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Sturtevant, Jillian
McManamay, Ryan A.
DeRolph, Christopher R.
U.S. national water and energy land dataset for integrated multisector dynamics research
title U.S. national water and energy land dataset for integrated multisector dynamics research
title_full U.S. national water and energy land dataset for integrated multisector dynamics research
title_fullStr U.S. national water and energy land dataset for integrated multisector dynamics research
title_full_unstemmed U.S. national water and energy land dataset for integrated multisector dynamics research
title_short U.S. national water and energy land dataset for integrated multisector dynamics research
title_sort u.s. national water and energy land dataset for integrated multisector dynamics research
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021314/
https://www.ncbi.nlm.nih.gov/pubmed/35444212
http://dx.doi.org/10.1038/s41597-022-01290-w
work_keys_str_mv AT sturtevantjillian usnationalwaterandenergylanddatasetforintegratedmultisectordynamicsresearch
AT mcmanamayryana usnationalwaterandenergylanddatasetforintegratedmultisectordynamicsresearch
AT derolphchristopherr usnationalwaterandenergylanddatasetforintegratedmultisectordynamicsresearch