2020
DOI: 10.1007/s10661-020-8180-y
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Identifying areas of degrading and improving groundwater-quality conditions in the State of California, USA, 1974–2014

Abstract: 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)… Show more

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Cited by 14 publications
(13 citation statements)
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“…We used nitrate as a proxy for overall groundwater quality in the Central Valley because it is required by law to be sampled from active PSWs on an annual basis and often co-occurs with a host of other contaminants that are monitored with less frequency (e.g., fumigants, salinity, and uranium; Burow et al, 2019;Rosen et al, 2019). To assess ambient conditions in aquifers used for public drinking-water supply, we compiled nitrate measurements for over 160,000 raw (untreated and unblended) groundwater samples collected from PSWs for regulatory-compliance monitoring (SWRCB-DDW, 2019a) and the California State Water Board's Groundwater Ambient Monitoring and Assessment (GAMA) program (Jurgens et al, 2018). Nitrate measurements for individual wells were seasonally averaged by "water-level year" to ensure wells with higher sampling frequency were not overrepresented in our analysis (Text S2).…”
Section: Study Area and Geostatistical Approachmentioning
confidence: 99%
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“…We used nitrate as a proxy for overall groundwater quality in the Central Valley because it is required by law to be sampled from active PSWs on an annual basis and often co-occurs with a host of other contaminants that are monitored with less frequency (e.g., fumigants, salinity, and uranium; Burow et al, 2019;Rosen et al, 2019). To assess ambient conditions in aquifers used for public drinking-water supply, we compiled nitrate measurements for over 160,000 raw (untreated and unblended) groundwater samples collected from PSWs for regulatory-compliance monitoring (SWRCB-DDW, 2019a) and the California State Water Board's Groundwater Ambient Monitoring and Assessment (GAMA) program (Jurgens et al, 2018). Nitrate measurements for individual wells were seasonally averaged by "water-level year" to ensure wells with higher sampling frequency were not overrepresented in our analysis (Text S2).…”
Section: Study Area and Geostatistical Approachmentioning
confidence: 99%
“…The total area of increasing nitrate was >50% for most of the period of study, reflecting widespread trends of degrading groundwater quality in the Central Valley (Burow et al, 2013;Jurgens et al, 2020), and expanded up to 65% during drought (Figure 3a). However, the area of increasing nitrate contracted to <50% during brief recovery periods following drought peaks in 2004-2017.…”
Section: Regional Linkages Between Groundwater Levels and Nitratementioning
confidence: 99%
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“…The other dominant cluster contained northern wells in 74%. In addition, a third cluster was also formed the five wells of which can be found in the central part of the settlement (17,18,24,25,27). In the fifth year following the establishment of the sewerage network, this clear difference between wells was eliminated with a decrease in the level of contamination, with approximately the same proportion (52-48%) of north and south wells in the two established clusters.…”
Section: Spatio-temporal Changes In Groundwater Qualitymentioning
confidence: 99%
“…Preserving and improving groundwater quality in the urban environment is a complex task due to the many sources of pollution [23][24][25]. Although groundwater monitoring is of great interest to water decision-makers for establishing strategies to protect water resources, due to the high costs there is not enough data available at a sufficient level of detail, especially for long-term monitoring [26,27].…”
Section: Introductionmentioning
confidence: 99%