CMBEAR : Python‐based Recharge Estimator Using the Chloride Mass Balance Method in Australia

Ground Water ◽  
2021 ◽  
Author(s):  
Dylan J. Irvine ◽  
Ian Cartwright
Keyword(s):  
Mass Balance ◽  
Balance Method ◽  
Chloride Mass Balance ◽  
Mass Balance Method

Estimating groundwater recharge and its associated uncertainty: Use of regression kriging and the chloride mass balance method

2018 ◽  
Vol 561 ◽  
pp. 1063-1080 ◽  
Author(s):  
Russell S. Crosbie ◽  
Luk J.M. Peeters ◽  
Natasha Herron ◽  
Tim R. McVicar ◽  
Alexander Herr
Keyword(s):  
Mass Balance ◽  
Groundwater Recharge ◽  
Balance Method ◽  
Regression Kriging ◽  
Chloride Mass Balance ◽  
Mass Balance Method

Canopy enhanced chloride deposition in coastal South Australia and its application for the chloride mass balance method

2013 ◽  
Vol 497 ◽  
pp. 62-70 ◽  
Author(s):  
Zijuan Deng ◽  
Stacey C. Priestley ◽  
Huade Guan ◽  
Andrew J. Love ◽  
Craig T. Simmons
Keyword(s):  
Mass Balance ◽  
South Australia ◽  
Balance Method ◽  
Chloride Mass Balance ◽  
Mass Balance Method ◽  
Chloride Deposition

scholarly journals Estimating groundwater recharge using the chloride mass-balance method in the West Bank, Palestine

2010 ◽  
Vol 55 (5) ◽  
pp. 780-791 ◽  
Author(s):  
A. Marei ◽  
S. Khayat ◽  
S. Weise ◽  
S. Ghannam ◽  
M. Sbaih ◽  
...  
Keyword(s):  
Mass Balance ◽  
Groundwater Recharge ◽  
West Bank ◽  
Balance Method ◽  
Chloride Mass Balance ◽  
The West ◽  
Mass Balance Method

scholarly journals Spatial and temporal variability of groundwater recharge in a sandstone aquifer in a semi-arid region

2018 ◽  
Author(s):  
Ferdinando Manna ◽  
Steven Murray ◽  
Daron Abbey ◽  
Paul Martin ◽  
John Cherry ◽  
...  
Keyword(s):  
Mass Balance ◽  
Groundwater Recharge ◽  
Temporal Variability ◽  
Arid Regions ◽  
Balance Method ◽  
Spatial And Temporal Variability ◽  
Chloride Mass Balance ◽  
Mike She ◽  
Mass Balance Method ◽  
Semi Arid

Abstract. With the aim to understand the spatial and temporal variability of groundwater recharge, a high-resolution, spatially-distributed numerical model (MIKE SHE) representing surface water and groundwater was used to simulate responses to precipitation in a 2.16 km2 upland catchment on fractured sandstone near Los Angeles, California. Exceptionally high temporal and spatial resolution was used for this catchment modeling: an hourly time-step, a 20 × 20 meter grid in the horizontal plane and 240 numerical layers distributed vertically within the thick vadose zone and in the upper part of the groundwater zone. The finest-practical spatial and temporal resolution were selected to accommodate the large degree of surface and subsurface variability of catchment features. Physical property values for the different lithologies were assigned based on previous on-site investigations whereas the parameters controlling streamflow and evapotranspiration were derived from literature information. The calibration of streamflow at the outfall and of transient and average hydraulic head provided confidence in the reasonableness of these input values and in the ability of the model to reproduce observed processes. Confidence in the calibrated model was enhanced by validation through, (i) comparison of simulated average recharge to estimates based on the applications of the chloride mass-balance method from data from the groundwater and vadose zones within and beyond the catchment (Manna et al., 2016; Manna et al., 2017) and, (ii) comparison of the water isotope signature (18O and 2H) in shallow groundwater to the variability of isotope signatures for precipitation events over an annual cycle. The average simulated recharge across the catchment for the period 1995–2014 is 16 mm y−1 (4 % of the average annual precipitation), which is consistent with previous estimates obtained by using the chloride mass balance method (4.2 % of the average precipitation). However, one of the most unexpected results was that local recharge was simulated to vary from 0 to > 1000 mm y−1 due to episodic precipitation and overland runoff effects. This recharge occurs episodically with the major flux events at the bottom of the evapotranspiration zone, as simulated by MIKE SHE and confirmed by the isotope signatures, occurring only at the end of the rainy season. This is the first study that combines MIKE SHE simulations with the analysis of water isotopes in groundwater and rainfall to determine the timing of recharge processes in semi-arid regions. The study advances the understanding of recharge and unsaturated flow processes in semi-arid regions and enhances our ability to predict the effects of surface and subsurface features on recharge rates. This is crucial in highly heterogeneous contaminated sites because different contaminant source areas have widely varying recharge and, hence, groundwater fluxes impacting their mobility.

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