Approaches and Methods of Quantifying Natural Groundwater Recharge – A Review

Ali, M. Hossain; Mubarak, S.

doi:10.9734/ajee/2017/36987

Cited by 7 publications

(14 citation statements)

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“…Considering the differences between the approaches, a greater influence of the type of soil is observed, followed by the declivity and land use, which can be better visualized by mapping the relative error and spatially comparing it with each factor analyzed ( Figure 6), and by observing the results from Table 1: a preliminary abacus, through which recharge rates can be regionalized in non-instrumented hydrographic basins for combinations of soil class, land use/cover, and slope factors. Estimations with low relative error can be considered more reliable [15,35]. The average relative error was −27.5, with the highest values occurring in steeper areas with Cambisol, and some areas with Red-yellow Ferrasol and Plinthosol covered with trees along the drainage network.…”

Section: Resultsmentioning

confidence: 99%

Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins

Santos

Koide

Távora

et al. 2020

Water

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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.

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Section: Resultsmentioning

confidence: 99%

Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins

Santos

Koide

Távora

et al. 2020

Water

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“…Understanding groundwater recharge is necessary for the successful management of groundwater resources [29]. For the quantification of the impacts of climate change on groundwater resources, groundwater recharge estimation over time is as important as forecasting of changes in key climatic variables [13].…”

Section: Groundwater Rechargementioning

confidence: 99%

Assessment of Temporal Variations of Groundwater Recharge in Ergene Basin (Northwestern Turkey) in Terms of Climate Change

Arkoç

2020

Kırklareli Üniversitesi Mühendislik Ve Fen Bilimleri Dergisi

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Recharge of groundwater is important for the sustainability of this resource. Groundwater in Ergene Basin is used for domestic purposes, irrigation and industrial demand. In this study, it is aimed to determine the temporal variations of groundwater recharge in Ergene Basin. For this purpose, data of main meteorological stations located the basin in 1966 -2014 were used. The study area is divided into two zones, eastern zone (EZ) and western zone (WZ). Groundwater recharge, which is calculated using hydrologic budget method, showed a decreasing trend in EZ while very slightly increasing trend in WZ consistent with the decreasing precipitation and increasing temperature trends. Increasing demand for groundwater and over pumping in EZ of the Basin caused significant groundwater declines with combined effect of climate change. According to Standardized Precipitation Index (SPI) values the study area also experienced moderate-mild draught during the study periods.

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“…Recharge is a major component of the groundwater system and has important implications for water resource management strategies (Tan et al 2014). An accurate quantification of recharge is extremely important to sustain long-term groundwater use, genuine groundwater allocation decisions, and assess the risk of groundwater contamination (Ebrahimi & Ghazavi 2016;Ali & Mubarak 2017).…”

Section: Introductionmentioning

confidence: 99%

Groundwater recharge estimation using water table fluctuation and empirical methods

Addisie

2022

H2Open Journal

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The reliable estimation of groundwater recharge is fundamental to the appropriate use of groundwater resources. Shallow groundwater resource quantification for irrigation in highland regions remains challenging. Specifically, in the humid Ethiopian highlands, only limited research has been done on groundwater recharge estimation. Despite the various techniques used to determine recharge, the objective of this study was to better understand natural groundwater recharge using water table fluctuation (WTF) and empirical methods in the sub-humid Ethiopian highlands. The Ene-Chilala watershed was selected for this study. Precipitation, infiltration rate, and piezometric water levels were measured. Precipitation was measured over a 4-year period (2013–2016), whereas infiltration and the groundwater table were measured over a 1-year period (2014). Recharge rates using WTF were determined from the three slope positions and the median of all piezometers for the whole watershed. Infiltration rates on the upslope were greater compared to the mid- and downslopes. The rainfall intensity exceeded the infiltration rate in all slope positions, so the excess rainfall recharged the perched upslope aquifer and eventually drained as interflow to recharge the mid- and downslopes. The estimated groundwater recharge from WTF was less compared to the average of empirical estimations. Surprisingly, from the nine selected empirical equations, the modified Chaturvedi formula had a similar estimation to the WTF method. In conclusion, it is challenging to find long-term seasonal and spatial groundwater-level data. Long-term groundwater data should, therefore, be available in order to arrive at a reliable recharge estimate and for effective groundwater management practices.

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Approaches and Methods of Quantifying Natural Groundwater Recharge – A Review

Cited by 7 publications

References 0 publications

Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins

Abacus to Predict Groundwater Recharge at Non-Instrumented Hydrographic Basins

Assessment of Temporal Variations of Groundwater Recharge in Ergene Basin (Northwestern Turkey) in Terms of Climate Change

Groundwater recharge estimation using water table fluctuation and empirical methods

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