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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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 |
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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 |
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