Factors affecting groundwater recharge following clearing in the south western Murray Basin

Kennett-Smith, A.; Cook, Peter G.; Walker, Glen

doi:10.1016/0022-1694(94)90213-5

Cited by 64 publications

(46 citation statements)

References 12 publications

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“…If one assumes that the recharge rate at the clear cut site prior to cutting was similar to the conifer site, which has comparable sediments [20], clear cutting has caused a significant increase in recharge. This result supports findings by previous workers [35,[47][48][49][50][51] that clear cutting causes an increase in recharge rate.…”

Section: Spatial Variability In Rechargesupporting

confidence: 92%

An Integrated Field Assessment of Groundwater Recharge

W.R.¹

2012

TOHYDJ

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Groundwater recharge is often assumed to be uniform within a watershed owing to difficulties in quantifying its temporal and spatial variability. In this paper, fluctuations in soil moisture content at multiple depths in the unsaturated zone together with fluctuations in the water table are used to provide a record of the recharge process and a means to quantify and compare temporal and spatial recharge variability. Hourly measurements of soil moisture content and the elevation of the water table were collected at two sites, a clear cut and a coniferous forest site, within the Trout Lake basin of northern Wisconsin. The soil moisture and water table data were used together to assess the temporal and spatial variability in groundwater recharge from October 1999 to May 2001 and to identify the climatic (amount and timing of rainfall) and physical (vegetation and soil type) controls on the recharge process within this basin. Together, the two datasets allow for a holistic assessment of the recharge process from the ground surface through the unsaturated zone down to the water table.

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Section: Spatial Variability In Rechargesupporting

confidence: 92%

An Integrated Field Assessment of Groundwater Recharge

W.R.¹

2012

TOHYDJ

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“…Comparison of the log-linear relationship between deep drainage and average clay content (0-2 m) data from Kennett-Smith et al (1994), Leaney et al (2004) and Wohling (2007) provided evidence for a trend attributable to rainfall amount (Fig. 2).…”

Section: Introductionmentioning

confidence: 90%

“…The first effort to introduce a surrogate clay measurement for predicting deep drainage was by Kennett-Smith et al (1994) who defined a log-linear relationship between deep drainage and clay content for the 0-2 m soil depth interval. The relationship was based on 89 deep drainage estimates made using the chloride front displacement (CFD) method (Walker et al, 1991) in the 300-400 mm rainfall areas of South Australia and Victoria in south-eastern Australia ( Fig.…”

Section: Introductionmentioning

confidence: 99%

“…1). The average clay content over the 0-2 m depth interval (rather than 0-0.5 m or 0-1 m) was chosen as it provided the highest correlation for deep drainage and clay content using the Kennett-Smith et al (1994) data set (SKM, 2002).…”

Section: Introductionmentioning

confidence: 99%

“…More recent investigations Wohling, 2007) revised the relationship given by Kennett-Smith et al (1994) for higher rainfall areas based on local recharge investigations; however minimal statistical rigour was employed in developing the revised correlations. Personal judgement defined each new relationship rather than a statistical correlation.…”

Section: Introductionmentioning

confidence: 99%

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Deep drainage estimates using multiple linear regression with percent clay content and rainfall

Wohling

Leaney

Crosbie

2012

Hydrol. Earth Syst. Sci.

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Abstract. Deep drainage estimates are required for effective management of water resources. However, field measurements are time consuming and costly so simple empirical relationships are often used. Relationships developed between clay content of the surface soil and deep drainage have been used extensively in Australia to provide regional estimates of deep drainage but these relationships have been poorly justified and did not include rainfall in the relationships. Here we present a rigorous appraisal of clay content of soils and rainfall as predictors of deep drainage using an extensive database of field observations from across Australia. This study found that annual average rainfall and the average clay content of the top 2 m of the soil are statistically significant predictors of point scale deep drainage. Relationships have been defined for annual, perennial and tree type vegetation as a line of best fit along with 95 % confidence intervals. This allows the uncertainty in these deep drainage estimates to be assessed for the first time.

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