2017
DOI: 10.1016/j.jhydrol.2017.08.056
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A step-wise semi-distributed simulation approach to characterize a karst aquifer and to support dam construction in a data-scarce environment

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Cited by 21 publications
(14 citation statements)
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“…Piezometric levels obtained by KAGIS reported good agreement between the observed and simulated values. Similar trustworthy results were also obtained in the simulation of the karst groundwater levels in previous studies (e.g., Adinehvand, Raeisi, & Hartmann, 2017;Brenner, Coxon, Howden, Freer, & Hartmann, 2018). In the present study, main differences between the observed and simulated values were identified between September 2009 and September 2011, probably related to the abovementioned problems in the measurement of the experimental values.…”
Section: Modelled Resultssupporting
confidence: 92%
“…Piezometric levels obtained by KAGIS reported good agreement between the observed and simulated values. Similar trustworthy results were also obtained in the simulation of the karst groundwater levels in previous studies (e.g., Adinehvand, Raeisi, & Hartmann, 2017;Brenner, Coxon, Howden, Freer, & Hartmann, 2018). In the present study, main differences between the observed and simulated values were identified between September 2009 and September 2011, probably related to the abovementioned problems in the measurement of the experimental values.…”
Section: Modelled Resultssupporting
confidence: 92%
“…The total area of intensive solutional fractures is so large that it reduces the discharge per unit area and velocity, resulting in a low hydraulic gradients and laminar flow regime. The results of the laminar flow regime in the DMA are compatible with the results from the semi-distributed model of Adinehvand et al (2017). The general flow direction is almost parallel to the Malagha Anticline bedding planes strike, toward the Qale-Tol alluvial aquifer (Fig.…”
Section: Conceptual Model and General Flow Directionsupporting
confidence: 84%
“…At regions with limited data availability, simplified karst modeling approaches are applied that represent the domi-nant dual permeability processes of karst systems by varying combination of buckets that represent the important stor-ages of the karst system: the soil, epikarst, karst matrix, and conduits (Hartmann et al 2014). In recent years, research focused on quantifying the uncertainty that results from those simplified karst modeling approaches (Chen et al 2017;Adinehvand et al 2017;Xu et al 2018) and quantify-ing the information content of auxiliary data as hydrochemi-cal information (Hartmann et al 2017a, b) or geophysical measurements (Mazzilli et al 2013). Future research is nec-essary to further explore the value of auxiliary data and to link the advantages of these simplified modeling approaches and the above-mentioned physically based approaches.…”
Section: Modeling Of Karst Flow and Reactive Transportmentioning
confidence: 99%