2006
DOI: 10.1016/j.jhydrol.2006.03.024
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The influence of temporal hydrological randomness on seawater intrusion in coastal aquifers

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Cited by 50 publications
(24 citation statements)
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“…This means that the effect of temporal randomness on the salinity fluctuations among different but equally probable realizations of the random field is higher than that of spatial randomness. Aquifer depth, not the SD and CV statistics of the temporally random input field, was proposed by Prieto et al (2006) as an explanation for the higher effect of temporal randomness on the salinity CV in this case. The presentation of the stochastic analysis is kept brief (the interested reader is referred to Prieto et al (2006), for an extensive account) because our focus here is on the cost implications of uncertainty.…”
Section: Detailed Deterministic and Stochastic Simulations Of Groundwmentioning
confidence: 81%
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“…This means that the effect of temporal randomness on the salinity fluctuations among different but equally probable realizations of the random field is higher than that of spatial randomness. Aquifer depth, not the SD and CV statistics of the temporally random input field, was proposed by Prieto et al (2006) as an explanation for the higher effect of temporal randomness on the salinity CV in this case. The presentation of the stochastic analysis is kept brief (the interested reader is referred to Prieto et al (2006), for an extensive account) because our focus here is on the cost implications of uncertainty.…”
Section: Detailed Deterministic and Stochastic Simulations Of Groundwmentioning
confidence: 81%
“…Aquifer depth, not the SD and CV statistics of the temporally random input field, was proposed by Prieto et al (2006) as an explanation for the higher effect of temporal randomness on the salinity CV in this case. The presentation of the stochastic analysis is kept brief (the interested reader is referred to Prieto et al (2006), for an extensive account) because our focus here is on the cost implications of uncertainty. It turns out that, in this study case and using the pumping and recharge profiles defined by screening, the deterministic solution gives higher groundwater salinity at the well than the various stochastic simulations; the stochastic analysis showed that the salinity at the well stays under 1000 ppm TDS over the 20-year period.…”
Section: Detailed Deterministic and Stochastic Simulations Of Groundwmentioning
confidence: 81%
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“…We carried out detailed simulations of the coupled, density-dependent groundwater flow and salt transport Prieto & Destouni, 2005;Prieto et al, 2006) with the 2-D code SUTRA (Voss, 1984). In these simulations, the representative aquifer cross-section was schematized as in the screening model, but using a higher resolution.…”
Section: Groundwater Simulation Methodologymentioning
confidence: 99%
“…In the context of a DAT, the deterministic simulations aim to quantify the evolution of salinity in the aquifer, from some initial state, in response to the predicted natural recharge and different management strategies applied during the planning period of a study. The stochastic simulations, reported by Prieto et al (2006) on the effect of hydrological randomness on sea intrusion, aim to quantify the uncertainty in the estimation of the salinity field and, through it, in management decisions. Our stochastic simulations have been comparative and of three types: spatial, temporal and coupled spatialtemporal.…”
Section: Modelling Of Groundwater Dynamicsmentioning
confidence: 99%