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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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Stochastic nitrate simulation under hydraulic conductivity uncertainty of an agricultural basin aquifer at Eastern Thessaly, Greece

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Συγγραφέας
Sidiropoulos P., Mylopoulos N., Vasiliades L., Loukas A.
Ημερομηνία
2021
Γλώσσα
en
DOI
10.1007/s11356-021-15555-1
Λέξη-κλειδί
aquifer
concentration (composition)
groundwater flow
hydraulic conductivity
hydraulic property
hydrological modeling
spatial distribution
stochasticity
uncertainty analysis
water supply
Greece
Karla Lake
Magnesia
Thessaly
ground water
nitric acid derivative
environmental monitoring
Greece
uncertainty
water pollutant
Environmental Monitoring
Greece
Groundwater
Nitrates
Uncertainty
Water Pollutants, Chemical
Springer Science and Business Media Deutschland GmbH
Εμφάνιση Μεταδεδομένων
Επιτομή
Lake 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.
URI
http://hdl.handle.net/11615/78965
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