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Stories of a water-table: anomalous depressions, aquitard breaches and seasonal implications, Shelby County, Tennessee, USA.
Lozano-Medina, Daniela; Waldron, Brian; Schoefernacker, Scott; Antipova, Anzhelika; Villalpando-Vizcaino, Rodrigo.
Afiliação
  • Lozano-Medina D; Center for Applied Earth Science and Engineering Research, The University of Memphis, Memphis, TN, 38152, USA. danielalozanomedina@gmail.com.
  • Waldron B; Center for Applied Earth Science and Engineering Research, The University of Memphis, Memphis, TN, 38152, USA.
  • Schoefernacker S; Center for Applied Earth Science and Engineering Research, The University of Memphis, Memphis, TN, 38152, USA.
  • Antipova A; Department of Earth Sciences, The University of Memphis, Memphis, TN, 38152, USA.
  • Villalpando-Vizcaino R; Center for Applied Earth Science and Engineering Research, The University of Memphis, Memphis, TN, 38152, USA.
Environ Monit Assess ; 195(8): 953, 2023 Jul 15.
Article em En | MEDLINE | ID: mdl-37452890
ABSTRACT
An extensive water level survey of the water-table aquifer (i.e., shallow aquifer) within Shelby County, Tennessee, was conducted in the dry (fall 2020) and wet (spring 2021) seasons. Water-table surfaces were generated using cokriging to observe seasonal differences to identify anomalous water-table depressions, indicative of an underlying aquitard breach. Seasonal differences were attributed to non-coincident control and timing between the surveys and when optimum dry (fall) and wet (spring) conditions existed, as observed through comparisons with continuous historical water levels from 12 shallow monitoring wells. Additionally, data from fall 2020 were compared to previous studies in 2005 and 2015 to determine decadal changes in levels and shape of the water-table surface which were mostly attributed to changes in data control and potential climate variations. A prediction error map was generated from the 2020 dataset to identify areas of the county with high-prediction error (>7.0 m) to offer guidance on where future well control would be optimal.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água Subterrânea / Depressão Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água Subterrânea / Depressão Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos