A global-scale dataset of direct natural groundwater recharge rates: A review of variables, processes and relationships

Moeck, Christian; Grech-Cumbo, N.; Podgorski, Joel; Bretzler, Anja; Gurdak, Jason J.; Berg, Michael; Schirmer, Mario

doi:10.1016/j.scitotenv.2020.137042

Cited by 125 publications

(142 citation statements)

References 192 publications

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“…13), in principle recharge has an effect of equal magnitude as transmissivity, but opposite sign. However, the variability of transmissivity of the subsurface is several orders of magnitude, whereas the variability of groundwater recharge is much lower, approximately one order of magnitude in humid regions (Moeck et al, 2020). This results in an overall much more important effect of transmissivity on drainage density.…”

Section: Sensitivity Of Drainage Density To Hydrological and Erosion Parametersmentioning

confidence: 99%

Transmissivity and groundwater flow exert a strong influence on drainage density

Luijendijk¹

2021

Preprint

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Abstract. The extent to which groundwater flow affects drainage density and erosion has long been debated, but is still uncertain. Here, I present a new hybrid analytical and numerical model that simulates groundwater flow, overland flow, hillslope erosion and stream incision. The model is used to explore the relation between groundwater flow and the incision and persistence of streams for a set of parameters that represent average humid climate conditions. The results show that transmissivityand groundwater flow exert a strong control on drainage density. High transmissivity results in low drainage density and high incision rates and vice versa, with drainage density varying roughly linearly with transmissivity. The model evolves by a process that is defined here as groundwater capture, whereby streams with a higher rate of incision draw the watertable below neighbouring streams, which subsequently run dry and stop incising. This process is less efficient in models with low transmissivity due to the association of low transmissivity and high watertable gradients. A comparison of different parameters shows that drainage density is the most sensitive to transmissivity, followed by parameters that govern initial slope and stream erosion. These results imply that permeability and transmissivity exert a strong control on drainage density, stream incision and landscape evolution and that models of landscape evolution may need to explicitly include groundwater flow.

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Section: Sensitivity Of Drainage Density To Hydrological and Erosion Parametersmentioning

confidence: 99%

Transmissivity and groundwater flow exert a strong influence on drainage density

Luijendijk¹

2021

Preprint

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“…The official information reports a proportional recharge of 18% approximately [52,53], and remains in the estimated range. In comparison with other studies, Moeck et al [107] provide the relationship between the recharge rate and several variables around the globe. One of According to the model results (Figure 5b, and attached as Supplementary Materials), the annual mean volumes presented values of 2211 hm 3 (with a standard deviation of 510 hm 3 ) for precipitation, 1207 hm 3 (with a standard deviation of 136.7 hm 3 ) for evapotranspiration, and 460 hm 3 (with a standard deviation of 220 hm 3 ) for surface runoff.…”

Section: Current and Future Potential Groundwater Rechargementioning

confidence: 99%

Proportional Variation of Potential Groundwater Recharge as a Result of Climate Change and Land-Use: A Study Case in Mexico

Guerrero-Morales

Fonseca

Albores

et al. 2020

Land

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This work proposes a methodology whereby the selection of hydrologic and land-use cover change (LUCC) models allows an assessment of the proportional variation in potential groundwater recharge (PGR) due to both land-use cover change (LUCC) and some climate change scenarios for 2050. The simulation of PGR was made through a distributed model, based on empirical methods and the forecasting of LUCC stemming from a supervised classification with remote sensing techniques, both inside a Geographic Information System. Once the supervised classification was made, a Markov-based model was developed to predict LUCC to 2050. The method was applied in Acapulco, an important tourism center for Mexico. From 1986 to 2017, the urban area increased 5%, and by 2050 was predicted to cover 16%. In this period, a loss of 7 million m3 of PGR was assumed to be caused by the estimated LUCC. From 2017 to 2050, this loss is expected to increase between 73 and 273 million m3 depending on the considered climate change scenario, which is the equivalent amount necessary for satisfying the water needs of 6 million inhabitants. Therefore, modeling the variation in groundwater recharge can be an important tool for identifying water vulnerability, through both climate and land-use change.

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“…Groundwater recharge is a complex ecohydrological process that plays an important role to societies as a key strategic water reserve (Wada et al., 2014), and within the environments as a natural or artificial mechanism of groundwater storage renewal (Gleeson et al., 2012). The groundwater recharge connects the atmospheric, surface, and subsurface components of the water balance (Mohan et al., 2018), being mainly controlled by the precipitation amount and intensity, boundary layer climatology, topography, water table level, watershed geomorphology, soil and vegetation characteristics, and irrigation return flow (Jasechko et al., 2014; Moeck et al., 2020). Understanding the seasonal controls upon recharge requires its accurate estimation (Jasechko et al., 2014), which can only be obtained by experimental methods or modelling since the groundwater recharge cannot be directly measured (Melo et al., 2015).…”

Section: Introductionmentioning

confidence: 99%

Dynamic groundwater recharge simulations based on cosmic‐ray neutron sensing in a tropical wet experimental basin

Barbosa

Coelho

Scheiffele

et al. 2021

Vadose Zone Journal

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Although cosmic-ray neutron sensing (CRNS) is probably the most promising noninvasive proximal soil moisture measurement technique at the field scale, its application for hydrological simulations remains underexplored in the literature so far. This study assessed the use of CRNS to inversely calibrate soil hydraulic parameters at the intermediate field scale to simulate the groundwater recharge rates at a daily timescale. The study was conducted for two contrasting hydrological years at the Guaraíra experimental basin, Brazil, a 5.84-kmš, a tropical wet and rather flat landscape covered by secondary Atlantic forest. As a consequence of the low altitude and proximity to the equator low neutron count rates could be expected, reducing the precision of CRNS while constituting unexplored and challenging conditions for CRNS applications. Inverse calibration for groundwater recharge rates was used based on CRNS or pointscale soil moisture data. The CRNS-derived retention curve and saturated hydraulic conductivity were consistent with the literature and locally performed slug tests. Simulated groundwater recharge rates ranged from 60 to 470 mm yr -1 , corresponding to 5 and 29% of rainfall, and correlated well with estimates based on water table fluctuations. In contrast, the estimated results based on inversive point-scale datasets were not in alignment with measured water table fluctuations. The better performance of CRNS-based estimations of field-scale hydrological variables, especially groundwater recharge, demonstrated its clear advantages over traditional invasive point-scale techniques. Finally, the study proved the ability of CRNS as practicable in low altitude, tropical wet areas, thus encouraging its adoption for water resources monitoring and management.

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A global-scale dataset of direct natural groundwater recharge rates: A review of variables, processes and relationships

Cited by 125 publications

References 192 publications

Transmissivity and groundwater flow exert a strong influence on drainage density

Transmissivity and groundwater flow exert a strong influence on drainage density

Proportional Variation of Potential Groundwater Recharge as a Result of Climate Change and Land-Use: A Study Case in Mexico

Dynamic groundwater recharge simulations based on cosmic‐ray neutron sensing in a tropical wet experimental basin

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