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Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey
The US Geological Survey (USGS) is currently (2020) integrating its water science programs to better address the nation’s greatest water resource challenges now and into the future. This integration will rely, in part, on data from 10 or more intensively monitored river basins from across the USA. A...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320945/ https://www.ncbi.nlm.nih.gov/pubmed/32594332 http://dx.doi.org/10.1007/s10661-020-08403-1 |
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author | Van Metre, Peter C. Qi, Sharon Deacon, Jeffrey Dieter, Cheryl Driscoll, Jessica M. Fienen, Michael Kenney, Terry Lambert, Patrick Lesmes, David Mason, Christopher A. Mueller-Solger, Anke Musgrove, Marylynn Painter, Jaime Rosenberry, Donald Sprague, Lori Tesoriero, Anthony J. Windham-Myers, Lisamarie Wolock, David |
author_facet | Van Metre, Peter C. Qi, Sharon Deacon, Jeffrey Dieter, Cheryl Driscoll, Jessica M. Fienen, Michael Kenney, Terry Lambert, Patrick Lesmes, David Mason, Christopher A. Mueller-Solger, Anke Musgrove, Marylynn Painter, Jaime Rosenberry, Donald Sprague, Lori Tesoriero, Anthony J. Windham-Myers, Lisamarie Wolock, David |
author_sort | Van Metre, Peter C. |
collection | PubMed |
description | The US Geological Survey (USGS) is currently (2020) integrating its water science programs to better address the nation’s greatest water resource challenges now and into the future. This integration will rely, in part, on data from 10 or more intensively monitored river basins from across the USA. A team of USGS scientists was convened to develop a systematic, quantitative approach to prioritize candidate basins for this monitoring investment to ensure that, as a group, the 10 basins will support the assessment and forecasting objectives of the major USGS water science programs. Candidate basins were the level-4 hydrologic units (HUC04) with some of the smaller HUC04s being combined; median candidate-basin area is 46,600 km(2). Candidate basins for the contiguous United States (CONUS) were grouped into 18 hydrologic regions. Ten geospatial variables representing land use, climate change, water use, water-balance components, streamflow alteration, fire risk, and ecosystem sensitivity were selected to rank candidate basins within each of the 18 hydrologic regions. The two highest ranking candidate basins in each of the 18 regions were identified as finalists for selection as “Integrated Water Science Basins”; final selection will consider input from a variety of stakeholders. The regional framework, with only one basin selected per region, ensures that as a group, the basins represent the range in major drivers of the hydrologic cycle. Ranking within each region, primarily based on anthropogenic stressors of water resources, ensures that settings representing important water-resource challenges for the nation will be studied. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-020-08403-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7320945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-73209452020-07-01 Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey Van Metre, Peter C. Qi, Sharon Deacon, Jeffrey Dieter, Cheryl Driscoll, Jessica M. Fienen, Michael Kenney, Terry Lambert, Patrick Lesmes, David Mason, Christopher A. Mueller-Solger, Anke Musgrove, Marylynn Painter, Jaime Rosenberry, Donald Sprague, Lori Tesoriero, Anthony J. Windham-Myers, Lisamarie Wolock, David Environ Monit Assess Article The US Geological Survey (USGS) is currently (2020) integrating its water science programs to better address the nation’s greatest water resource challenges now and into the future. This integration will rely, in part, on data from 10 or more intensively monitored river basins from across the USA. A team of USGS scientists was convened to develop a systematic, quantitative approach to prioritize candidate basins for this monitoring investment to ensure that, as a group, the 10 basins will support the assessment and forecasting objectives of the major USGS water science programs. Candidate basins were the level-4 hydrologic units (HUC04) with some of the smaller HUC04s being combined; median candidate-basin area is 46,600 km(2). Candidate basins for the contiguous United States (CONUS) were grouped into 18 hydrologic regions. Ten geospatial variables representing land use, climate change, water use, water-balance components, streamflow alteration, fire risk, and ecosystem sensitivity were selected to rank candidate basins within each of the 18 hydrologic regions. The two highest ranking candidate basins in each of the 18 regions were identified as finalists for selection as “Integrated Water Science Basins”; final selection will consider input from a variety of stakeholders. The regional framework, with only one basin selected per region, ensures that as a group, the basins represent the range in major drivers of the hydrologic cycle. Ranking within each region, primarily based on anthropogenic stressors of water resources, ensures that settings representing important water-resource challenges for the nation will be studied. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-020-08403-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-06-27 2020 /pmc/articles/PMC7320945/ /pubmed/32594332 http://dx.doi.org/10.1007/s10661-020-08403-1 Text en © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Van Metre, Peter C. Qi, Sharon Deacon, Jeffrey Dieter, Cheryl Driscoll, Jessica M. Fienen, Michael Kenney, Terry Lambert, Patrick Lesmes, David Mason, Christopher A. Mueller-Solger, Anke Musgrove, Marylynn Painter, Jaime Rosenberry, Donald Sprague, Lori Tesoriero, Anthony J. Windham-Myers, Lisamarie Wolock, David Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey |
title | Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey |
title_full | Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey |
title_fullStr | Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey |
title_full_unstemmed | Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey |
title_short | Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey |
title_sort | prioritizing river basins for intensive monitoring and assessment by the us geological survey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320945/ https://www.ncbi.nlm.nih.gov/pubmed/32594332 http://dx.doi.org/10.1007/s10661-020-08403-1 |
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