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Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974–2014

Areas of improving and degrading groundwater-quality conditions in the State of California were assessed using spatial weighting of a new metric for scoring wells based on constituent concentrations and the direction and magnitude of a trend slope (Sen). Individual well scores were aggregated across...

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Autores principales: Jurgens, Bryant C., Fram, Miranda S., Rutledge, Jeffrey, Bennett V., George L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096367/
https://www.ncbi.nlm.nih.gov/pubmed/32215765
http://dx.doi.org/10.1007/s10661-020-8180-y
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author Jurgens, Bryant C.
Fram, Miranda S.
Rutledge, Jeffrey
Bennett V., George L.
author_facet Jurgens, Bryant C.
Fram, Miranda S.
Rutledge, Jeffrey
Bennett V., George L.
author_sort Jurgens, Bryant C.
collection PubMed
description Areas of improving and degrading groundwater-quality conditions in the State of California were assessed using spatial weighting of a new metric for scoring wells based on constituent concentrations and the direction and magnitude of a trend slope (Sen). Individual well scores were aggregated across 2135 equal-area grid cells covering the entire groundwater resource used for public supply in the state. Spatial weighting allows results to be aggregated locally (well or grid cell), regionally (groundwater basin), provincially, or statewide. Results differentiate degrading (increasing concentration trends) areas with low to moderate concentrations (unimpaired) from degrading areas with moderate to high concentrations (impaired). Results also differentiate improving areas (decreasing concentration trends) in the same manner. Multi-year to decadal groundwater-quality trends were computed from periodic, inorganic water-quality data for 38 constituents collected between 1974 and 2014 for compliance monitoring of nearly 13,000 public-supply wells (PSWs) in the State of California. Mann-Kendall (MK) rank correlations and Sen’s slope estimator were used to detect statistically significant trends for the entire period of recorded data (long-term trend), for the period since 2000 (recent trend), for different pumping seasons (seasonal trend), and for reversals of trends. Statewide, the most frequently detected trends since 2000 were for nitrate (36%), gross alpha/uranium (10%), arsenic (14%), total dissolved solids (TDS) (23%), and the major ions that contribute to TDS (19–28%). The Transverse and Selected Peninsular Ranges (TSPR) and the San Joaquin Valley (SJV) hydrogeologic provinces had the largest percentage of areas with moderate to high nitrate concentrations and groundwater quality trends. Improving nitrate concentrations in parts of the TSPR is associated with long-term managed aquifer recharge that has replaced historical, agriculturally affected groundwater with low-nitrate recharge in parts of the TSPR. This example suggests that application of dilute, excess surface water to agricultural fields during the winter could improve groundwater-quality in the SJV over the long term. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-020-8180-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-70963672020-03-27 Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974–2014 Jurgens, Bryant C. Fram, Miranda S. Rutledge, Jeffrey Bennett V., George L. Environ Monit Assess Article Areas of improving and degrading groundwater-quality conditions in the State of California were assessed using spatial weighting of a new metric for scoring wells based on constituent concentrations and the direction and magnitude of a trend slope (Sen). Individual well scores were aggregated across 2135 equal-area grid cells covering the entire groundwater resource used for public supply in the state. Spatial weighting allows results to be aggregated locally (well or grid cell), regionally (groundwater basin), provincially, or statewide. Results differentiate degrading (increasing concentration trends) areas with low to moderate concentrations (unimpaired) from degrading areas with moderate to high concentrations (impaired). Results also differentiate improving areas (decreasing concentration trends) in the same manner. Multi-year to decadal groundwater-quality trends were computed from periodic, inorganic water-quality data for 38 constituents collected between 1974 and 2014 for compliance monitoring of nearly 13,000 public-supply wells (PSWs) in the State of California. Mann-Kendall (MK) rank correlations and Sen’s slope estimator were used to detect statistically significant trends for the entire period of recorded data (long-term trend), for the period since 2000 (recent trend), for different pumping seasons (seasonal trend), and for reversals of trends. Statewide, the most frequently detected trends since 2000 were for nitrate (36%), gross alpha/uranium (10%), arsenic (14%), total dissolved solids (TDS) (23%), and the major ions that contribute to TDS (19–28%). The Transverse and Selected Peninsular Ranges (TSPR) and the San Joaquin Valley (SJV) hydrogeologic provinces had the largest percentage of areas with moderate to high nitrate concentrations and groundwater quality trends. Improving nitrate concentrations in parts of the TSPR is associated with long-term managed aquifer recharge that has replaced historical, agriculturally affected groundwater with low-nitrate recharge in parts of the TSPR. This example suggests that application of dilute, excess surface water to agricultural fields during the winter could improve groundwater-quality in the SJV over the long term. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10661-020-8180-y) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-03-25 2020 /pmc/articles/PMC7096367/ /pubmed/32215765 http://dx.doi.org/10.1007/s10661-020-8180-y Text en © The Author(s) 2020 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/.
spellingShingle Article
Jurgens, Bryant C.
Fram, Miranda S.
Rutledge, Jeffrey
Bennett V., George L.
Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974–2014
title Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974–2014
title_full Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974–2014
title_fullStr Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974–2014
title_full_unstemmed Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974–2014
title_short Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974–2014
title_sort identifying areas of degrading and improving groundwater-quality conditions in the state of california, usa, 1974–2014
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096367/
https://www.ncbi.nlm.nih.gov/pubmed/32215765
http://dx.doi.org/10.1007/s10661-020-8180-y
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