Seasonal estimation of groundwater vulnerability.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
15 Jun 2023
Historique:
received: 14 03 2022
accepted: 30 05 2023
medline: 16 6 2023
pubmed: 16 6 2023
entrez: 15 6 2023
Statut: epublish

Résumé

Index-based methods estimate a fixed value of groundwater vulnerability (GWV); however, the effects of time variations on this estimation have not been comprehensively studied. It is imperative to estimate a time-variant vulnerability that accounts for climatic changes. In this study, we used a Pesticide DRASTICL method separating hydrogeological factors into dynamic and static groups followed by correspondence analysis. The dynamic group is composed of depth and recharge, and the static group is composed of aquifer media, soil media, topography slope, impact of vadose zone, aquifer conductivity and land use. The model results were 42.25-179.89, 33.93-159.81, 34.08-168.74, and 45.56-205.20 for spring, summer, autumn, and winter, respectively. The results showed a moderate correlation between the model predictions and observed nitrogen concentrations with R

Identifiants

pubmed: 37322035
doi: 10.1038/s41598-023-36194-1
pii: 10.1038/s41598-023-36194-1
pmc: PMC10272224
doi:

Substances chimiques

Soil 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9720

Informations de copyright

© 2023. The Author(s).

Références

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Auteurs

Adrian I Cervantes-Servin (AI)

Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria, 3010, Australia. polo_fair@hotmail.com.

Meenakshi Arora (M)

Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria, 3010, Australia.

Tim J Peterson (TJ)

Department of Civil Engineering, Monash University, Clayton, Victoria, 3800, Australia.

Vincent Pettigrove (V)

Aquatic Pollution Prevention Partnership, Royal Melbourne Institute of Technology, Melbourne, Victoria, Australia.

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Classifications MeSH