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dc.creatorSidiropoulos P., Mylopoulos N., Vasiliades L., Loukas A.en
dc.date.accessioned2023-01-31T09:55:57Z
dc.date.available2023-01-31T09:55:57Z
dc.date.issued2021
dc.identifier10.1007/s11356-021-15555-1
dc.identifier.issn09441344
dc.identifier.urihttp://hdl.handle.net/11615/78965
dc.description.abstractLake Karla Watershed is an agricultural basin characterized by intense agricultural activities, which lead to quantitative and qualitative aquifer degradation. The exploitation of non-renewable groundwater resources and nitrate contamination are the major threats to aquifer sustainability. Groundwater resources cover mainly irrigation and domestic water needs. Hence, the simulation of groundwater resources is necessary to (a) determine the quantity available for water supply and (b) estimate probable nitrate contamination to propose subsequent remediation techniques to protect public health. Furthermore, the aquifer’s heterogeneity as well as the lack of hydraulic conductivity data, in a large-scale study area, creates uncertainty regarding groundwater flow and nitrate transport simulation. Deterministic modelling approaches for spatially distributed nitrate concentration simulation could not estimate the contamination risk, since it can address only one realization of the aquifer. This study estimates the effect of hydraulic conductivity uncertainty on the simulation of groundwater nitrate concentration. The proposed framework uses Geostatistical Sequential Gaussian Simulation (SGSIM) for the generation of equally probable realizations of the spatial distribution of hydraulic conductivity. It includes the application of a modelling system based on the following inter-linked models: a rainfall-runoff model, a reservoir operation model, a lake-aquifer interaction model, a groundwater flow model, and a nitrate transport and dispersion model. The last two models simulate the multiple realizations of aquifer’s groundwater flow and nitrate concentration. Furthermore, two analyses (a statistical and a threshold analysis) are employed to estimate the exceedance probability of the nitrate concentrations and their spatial extent. The results indicate that hydraulic conductivity uncertainty does affect the simulation of nitrate concentration and that nitrate concentrations will most probably exceed the thresholds in areas where groundwater is extracted for domestic use. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.en
dc.language.isoenen
dc.sourceEnvironmental Science and Pollution Researchen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85111511142&doi=10.1007%2fs11356-021-15555-1&partnerID=40&md5=a20e64f6a609c2bc1670a68492de2a79
dc.subjectaquiferen
dc.subjectconcentration (composition)en
dc.subjectgroundwater flowen
dc.subjecthydraulic conductivityen
dc.subjecthydraulic propertyen
dc.subjecthydrological modelingen
dc.subjectspatial distributionen
dc.subjectstochasticityen
dc.subjectuncertainty analysisen
dc.subjectwater supplyen
dc.subjectGreeceen
dc.subjectKarla Lakeen
dc.subjectMagnesiaen
dc.subjectThessalyen
dc.subjectground wateren
dc.subjectnitric acid derivativeen
dc.subjectenvironmental monitoringen
dc.subjectGreeceen
dc.subjectuncertaintyen
dc.subjectwater pollutanten
dc.subjectEnvironmental Monitoringen
dc.subjectGreeceen
dc.subjectGroundwateren
dc.subjectNitratesen
dc.subjectUncertaintyen
dc.subjectWater Pollutants, Chemicalen
dc.subjectSpringer Science and Business Media Deutschland GmbHen
dc.titleStochastic nitrate simulation under hydraulic conductivity uncertainty of an agricultural basin aquifer at Eastern Thessaly, Greeceen
dc.typejournalArticleen


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