2013
DOI: 10.5194/nhess-13-3405-2013
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Impacts of groundwater extraction on salinization risk in a semi-arid floodplain

Abstract: Abstract. In the lower River Murray in Australia, a combination of a reduction in the frequency, duration and magnitude of natural floods, rising saline water tables in floodplains, and excessive evapotranspiration have led to an irrigationinduced groundwater mound forcing the naturally saline groundwater onto the floodplain. It is during the attenuation phase of floods that these large salt accumulations are likely to be mobilised and discharged into the river. This has been highlighted as the most significan… Show more

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Cited by 16 publications
(17 citation statements)
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“…For most sensitive model parameters including the saturated hydraulic conductivity (K s ), and the coefficients α and n of different soil layers were varied manually and no automated parameter optimization procedure was used to calibrate the model. In addition to a visual comparison of observed and simulated water table depths, a quantitative evaluation of the model performance was undertaken using goodness-of-fit measures (see Section 2.7) similar to other studies (e.g., Alaghmand et al, 2013Alaghmand et al, , 2014). The calibrated model was validated for 1461 days (1st July 2013 to 30th June 2017) by comparing the measured and simulated water table depths.…”
Section: Calibration and Validation Of The Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…For most sensitive model parameters including the saturated hydraulic conductivity (K s ), and the coefficients α and n of different soil layers were varied manually and no automated parameter optimization procedure was used to calibrate the model. In addition to a visual comparison of observed and simulated water table depths, a quantitative evaluation of the model performance was undertaken using goodness-of-fit measures (see Section 2.7) similar to other studies (e.g., Alaghmand et al, 2013Alaghmand et al, , 2014). The calibrated model was validated for 1461 days (1st July 2013 to 30th June 2017) by comparing the measured and simulated water table depths.…”
Section: Calibration and Validation Of The Modelmentioning
confidence: 99%
“…Similarly, Kidmose et al (2010) employed a conceptual groundwater flow and reactive transfer model to establish a relationship between flow paths and the fate of a pesticide in a riparian wetland. Alaghmand et al (2013) used a numerical model (Hydrogeosphere) to evaluate the interaction between a river and a saline floodplain in relation to groundwater fluctuations, incorporating evapotranspiration losses by riparian vegetation. Klatt et al (2017) explored the capability of a coupled hydro-biogeochemical model to evaluate the effectiveness of buffer strips to reduce nitrogen loads into aquatic systems.…”
Section: Introductionmentioning
confidence: 99%
“…Soil salinization, which affects large parts of land in arid and semi-arid climatic zones worldwide, is related to the accumulation of water-soluble salts near the ground surface that negatively affect vegetation, with consequent reductions in ecosystem and agricultural productivity [1][2][3]. Salinization often occurs in areas with shallow or rising groundwater tables that allow salt-rich water to interfere with the rooting zone to the possible detriment of the land cover [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, the EM31 survey in November 2007 displays a distinct zone of low conductivity along the eastern margin abutting the river channel (Berens et al 2009). A detailed description of the calibration process can be found in Alaghmand et al (2013a).…”
Section: Model Calibrationmentioning
confidence: 99%
“…Transpiration from vegetation occurs within the root zone of the subsurface and is a function of the leaf area index (LAI), nodal water (moisture) content (θ) and a root distribution function (RDF) over a prescribed extinction depth (Alaghmand et al 2013a). Water content is simulated as saturation because it is more stable and always varies between 0 and 1, while in reality moisture content varies from 0 to a value equal to the porosity.…”
Section: Governing Equationsmentioning
confidence: 99%