Comparing two data driven interpolation methods for modeling nitrate distribution in aquifer

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dc.authoridTutmez, Bulent/0000-0002-2618-3285
dc.authorwosidTutmez, Bulent/ABG-8630-2020
dc.authorwosidHatipoglu-Bagci, Zubeyde/A-4365-2016
dc.contributor.authorTutmez, Bulent
dc.contributor.authorHatipoglu, Zubeyde
dc.date.accessioned2024-08-04T20:32:27Z
dc.date.available2024-08-04T20:32:27Z
dc.date.issued2010
dc.departmentİnönü Üniversitesien_US
dc.description.abstractAs a soluble compound in water, nitrate could easily pass through soil to the groundwater. In recent decades, nitrate pollution of groundwater has been increased mainly as a result of excessive application of fertilizers in agricultural areas. Appraisal of nitrate distribution in aquifers is not a new problem but it is still unsolved. This paper compares the performances of two modeling approaches such as geostatistical (kriging) and soft (fuzzy) computing in spatial interpolation of nitrate concentration in groundwater. For this purpose, the groundwater samples are collected from springs and wells in Mersin-Tarsus Aquifer to be considered. The estimation models are established based on data driven modeling concept. The results and performance evaluations indicate that the estimation capacity of the fuzzy model is higher than that of the kriging model. (C) 2009 Elsevier BM. All rights reserved.en_US
dc.identifier.doi10.1016/j.ecoinf.2009.08.001
dc.identifier.endpage315en_US
dc.identifier.issn1574-9541
dc.identifier.issn1878-0512
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-77954760894en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage311en_US
dc.identifier.urihttps://doi.org/10.1016/j.ecoinf.2009.08.001
dc.identifier.urihttps://hdl.handle.net/11616/95087
dc.identifier.volume5en_US
dc.identifier.wosWOS:000280819900010en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEcological Informaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNitrateen_US
dc.subjectPollutionen_US
dc.subjectGroundwateren_US
dc.subjectFuzzy estimationen_US
dc.subjectKrigingen_US
dc.titleComparing two data driven interpolation methods for modeling nitrate distribution in aquiferen_US
dc.typeArticleen_US

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