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dc.creatorSentas A., Psilovikos A., Karamoutsou L., Charizopoulos N.en
dc.date.accessioned2023-01-31T09:55:04Z
dc.date.available2023-01-31T09:55:04Z
dc.date.issued2018
dc.identifier10.5004/dwt.2018.23239
dc.identifier.issn19443994
dc.identifier.urihttp://hdl.handle.net/11615/78892
dc.description.abstractThe purpose of this study is to analyze surface water quality and discharge data samples from River Pinios at Region of Thessaly, Central Greece. The statistical samples of each one of the variables consisted of a maximum of 188 monthly observations over a period of 16 years. For these measurements stochastic modeling algorithms were used by ARIMA Models in order to assess water quality and quantity parameters and to compare the measurements with the legislation standards. By using ARIMA to prewhiten each time series, relationships between the parameters were demonstrated. Moreover, the time response between the fluctuations of water temperature (Tw) with the ones of (1) dissolved oxygen (DO), (2) ammonium (NH4 +), and (3) nitrates (NO3 –) and the fluctuations of discharge (Q) with that of water electrical conductivity (ECw) was assessed. Also, (1) an evaluation of the status of river water quality according to the Hellenic and International Legislation and (2) a comparison with other corresponding studies in the area of River Pinios watershed were performed. Finally, in this study the necessity of multivariate statistical assessment of extended databases in combination with reliable and real–time monitoring data is presented, in order to “extract” information about the quality and quantity parameters and to apply managerial strategies for pollution control. © 2018 Desalination Publications. All rights reserved.en
dc.language.isoenen
dc.sourceDesalination and Water Treatmenten
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85057847310&doi=10.5004%2fdwt.2018.23239&partnerID=40&md5=7b01662ec0e85e53be312e979d90c9d3
dc.subjectassessment methoden
dc.subjectcorrelationen
dc.subjectdata seten
dc.subjectmultivariate analysisen
dc.subjectnumerical modelen
dc.subjectstochasticityen
dc.subjectwater managementen
dc.subjectwater pollutionen
dc.subjectwater qualityen
dc.subjectGreeceen
dc.subjectPinios Riveren
dc.subjectThessalyen
dc.subjectDesalination Publicationsen
dc.titleMonitoring, modeling, and assessment of water quality and quantity in River Pinios, using ARIMA modelsen
dc.typejournalArticleen


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