Remote sensing to quantify potential aquifer recharge as a complementary tool for groundwater monitoring

Groundwater resources are vital for water security but face threats from overexploitation, contamination, and climate change. This study focuses on the Guarani (GAS) and Bauru (BAS) aquifer systems’ recharge in western São Paulo, Brazil. We enhanced the scalability of the potential recharge (PR) method and assessed recharge using groundwater storage (GWS) data from the Gravity Recovery and Climate Experiment (GRACE). Our findings indicate that while the remote sensing-based PR method aligns with the existing literature, it tends to overestimate recharge. Conversely, the GWS method provides more conservative and reliable estimates. Integrating remote sensing-based methods is a crucial tool for improving recharge estimation and supporting groundwater resource management.

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Publication Details

Journal
Hydrological Sciences Journal
Published
2024-10-07
DOI
https://doi.org/10.1080/02626667.2024.2412741
Citations
8
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
1.65

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article

Remote sensing to quantify potential aquifer recharge as a complementary tool for groundwater monitoring

Didier Gastmans, Lucas Vituri Santarosa, Juan Sebastián Blandón Luengas, Guilherme Vituri Fernandes Pinto
8 citations
Hydrological Sciences Journal
Groundwater and Watershed Analysis
1.65
article

Remote sensing to quantify potential aquifer recharge as a complementary tool for groundwater monitoring

Didier Gastmans, Lucas Vituri Santarosa, Juan Sebastián Blandón Luengas, Guilherme Vituri Fernandes Pinto
article en
8 citations

Abstract

Groundwater resources are vital for water security but face threats from overexploitation, contamination, and climate change. This study focuses on the Guarani (GAS) and Bauru (BAS) aquifer systems’ recharge in western São Paulo, Brazil. We enhanced the scalability of the potential recharge (PR) method and assessed recharge using groundwater storage (GWS) data from the Gravity Recovery and Climate Experiment (GRACE). Our findings indicate that while the remote sensing-based PR method aligns with the existing literature, it tends to overestimate recharge. Conversely, the GWS method provides more conservative and reliable estimates. Integrating remote sensing-based methods is a crucial tool for improving recharge estimation and supporting groundwater resource management.

Hydrological Sciences JournalVol. 69(16)
Pontificia Universidad Católica de Valparaíso (CL), Universidade Estadual Paulista (Unesp) (BR)
Universidade Estadual Paulista
Clean water and sanitation
Openalex Percentile: Top 18%
Groundwater and Watershed Analysis
1.65
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