2023
DOI: 10.1016/j.jhydrol.2022.128930
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The role of different sources of uncertainty on the stochastic quantification of subsurface discharges in heterogeneous aquifers

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Cited by 15 publications
(1 citation statement)
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“…To address this, the precipitation before and after the turbidity can be analyzed, and a scenario in which precipitation is as usual can be set up to simulate groundwater levels. Although there are sophisticated analysis methods using the Monte Carlo framework [39], in this study, the contributions of turbidity and precipitation were calculated using the following formulae, incorporating cases without turbidity effects and cases with neither turbidity effects nor normal precipitation levels: Turbidity Contribution = 1/NΣ(Hcase(a),i − Ho,i)/(Hcase(b),i − Ho,i) × 100 (4)…”
Section: Contribution Estimationmentioning
confidence: 99%
“…To address this, the precipitation before and after the turbidity can be analyzed, and a scenario in which precipitation is as usual can be set up to simulate groundwater levels. Although there are sophisticated analysis methods using the Monte Carlo framework [39], in this study, the contributions of turbidity and precipitation were calculated using the following formulae, incorporating cases without turbidity effects and cases with neither turbidity effects nor normal precipitation levels: Turbidity Contribution = 1/NΣ(Hcase(a),i − Ho,i)/(Hcase(b),i − Ho,i) × 100 (4)…”
Section: Contribution Estimationmentioning
confidence: 99%