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Open AccessArticle

Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins

1
Department of Forestry Engineering, Federal Institute of the North of Minas Gerais—Campus Salinas, Salinas 39560-000, Brazil
2
Department of Civil and Environmental Engineering, University of Brasília, Brasília 70910-900, Brazil
*
Author to whom correspondence should be addressed.
Water 2020, 12(11), 3090; https://doi.org/10.3390/w12113090
Received: 23 September 2020 / Revised: 23 October 2020 / Accepted: 31 October 2020 / Published: 4 November 2020
(This article belongs to the Section Hydrology and Hydrogeology)
One of the first steps to implement a policy for groundwater resources management is knowing the groundwater recharge. However, the unavailability of data and resources to execute field studies increase the uncertainty associated with the estimation of groundwater recharge. To fill this gap, the present work aimed to propose a method to predict groundwater recharge at non-instrumented hydrographic basins. The approach proposed is based on using an abacus to execute the transposition and/or regionalization of results generated in an experimental basin. The methodology comprised the estimation and mapping of recharge rates in the experimental basin using three distinct approaches—numerical modelling of the saturated zone, distributed hydrological modelling of the vadose zone, and the method of fluctuation of the water table elevation—and the following generation of the abacus, with average recharge values for combinations of soil class, land use/cover and slope using geographic information systems. The results indicate that the abacus is consistent for some Ferrasol areas, that the reliability of average regionalized values depends on the complexity of the physical environment—soil class, land use/cover, and slope—and that new studies, focusing on the hydro-physical characterization of soils, might produce more reliable estimations. View Full-Text
Keywords: experimental hydrographic basin; groundwater recharge; regionalization; water resources management experimental hydrographic basin; groundwater recharge; regionalization; water resources management
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MDPI and ACS Style

Santos, R.M.d.; Koide, S.; Távora, B.E.; Araujo, D.L.d. Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins. Water 2020, 12, 3090. https://doi.org/10.3390/w12113090

AMA Style

Santos RMd, Koide S, Távora BE, Araujo DLd. Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins. Water. 2020; 12(11):3090. https://doi.org/10.3390/w12113090

Chicago/Turabian Style

Santos, Ronaldo M.d.; Koide, Sérgio; Távora, Bruno E.; Araujo, Daiana L.d. 2020. "Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins" Water 12, no. 11: 3090. https://doi.org/10.3390/w12113090

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