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The legacy and drivers of groundwater nutrients and pesticides in an agriculturally impacted Quaternary aquifer system.
Shishaye, Haile A; Tait, Douglas R; Maher, Damien T; Befus, Kevin M; Erler, Dirk; Jeffrey, Luke; Reading, Michael J; Morgenstern, Uwe; Kaserzon, Sarit; Mueller, Jochen; De Verelle-Hill, Wanda.
Afiliação
  • Shishaye HA; Southern Cross Geoscience, Southern Cross University, Lismore, Australia. Electronic address: haile.4.hiwot@gmail.com.
  • Tait DR; Southern Cross Geoscience, Southern Cross University, Lismore, Australia.
  • Maher DT; Southern Cross Geoscience, Southern Cross University, Lismore, Australia.
  • Befus KM; Department of Geosciences, University of Arkansas, Fayetteville, AR 72701, USA.
  • Erler D; Centre for Coastal Biogeochemistry, School of the Environment, Science and Engineering, Southern Cross University, Australia.
  • Jeffrey L; Southern Cross Geoscience, Southern Cross University, Lismore, Australia.
  • Reading MJ; Southern Cross Geoscience, Southern Cross University, Lismore, Australia.
  • Morgenstern U; GNS Science, P.O. Box 30368, Lower Hutt, New Zealand.
  • Kaserzon S; Queensland Alliance for Environmental Health Sciences, University of Queensland, Australia.
  • Mueller J; Queensland Alliance for Environmental Health Sciences, University of Queensland, Australia.
  • De Verelle-Hill W; Centre for Coastal Biogeochemistry, School of the Environment, Science and Engineering, Southern Cross University, Australia.
Sci Total Environ ; 753: 142010, 2021 Jan 20.
Article em En | MEDLINE | ID: mdl-32890880
ABSTRACT
Nutrient and pesticide pollution are among the major threats to groundwater quality in agriculturally impacted aquifers. Understanding their legacy effects and drivers are important to protect aquifers from exposures to contamination. However, the complexities of groundwater flowpaths make it difficult to predict the time-scales of groundwater flow and contaminant transport. To determine these controls of groundwater nutrient and pesticides in an aquifer system underlying an intensive agricultural area in the Great Barrier Reef catchment, Australia, we sampled tritium (3H) to estimate groundwater-age, nutrient and pesticide concentrations to investigate groundwater contamination, and nitrogen (ẟ15N-NO3-) and oxygen (ẟ18O-NO3-) isotopes to determine groundwater nitrate dynamics. We, then, constructed high-resolution 3D geological and groundwater flow models of the aquifer system to determine the role of the geologic heterogeneity on the observed nutrient and pesticide concentrations. Groundwater 3H derived ages, and nutrient and pesticide concentrations did not follow distinct spatial trends. ẟ15N-NO3- and ẟ18O-NO3- values indicated that nitrification and denitrification processes influenced nitrate dynamics in the aquifer system; however, they were not solely able to explain the entire 3D variability. The 3D geologic modelling identified possible preferential flowpaths and perched systems, which helped to explain the observed groundwater-age, nutrient and pesticide variabilities. Old-groundwater (~100-years) was found in shallow depths (<15 m) where perched systems were identified. In areas with preferential flowpaths, young-groundwater (⁓1-year) with significant nitrate (~12 mg-N/L) and pesticides (up to 315 ng/L) concentrations were detected at deeper depths (>25 m), below perched and locally confined systems. Downward increasing groundwater-age, and decreasing nutrient and pesticide concentrations were detected in the unconfined aquifer, while old-groundwater (~160-years) and lower nitrate (<3 mg-N/L) and pesticides (<2 ng/L) concentrations were detected in the confined systems. This study demonstrates the importance of understanding both the geology and the hydrogeology of an area before deploying monitoring studies and/or making conclusions from tritium, nutrient and pesticide data alone.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2021 Tipo de documento: Article