Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7255
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dc.contributor.authorGündüz, Orhan-
dc.contributor.authorElçi, Alper-
dc.contributor.authorŞimşek, Celalettin-
dc.contributor.authorBaba, Alper-
dc.date.accessioned2019-09-03T12:05:27Z
dc.date.available2019-09-03T12:05:27Z
dc.date.issued2012en_US
dc.identifier.urihttps://hdl.handle.net/11147/7255
dc.description5th International Perspective on Water Resources & the Environment Conference (IPWE 2012), Moroccoen_US
dc.description.abstractAccurate mapping of the spatial distribution of arsenic in groundwater is an important but equally difficult task to complete due to a number of uncertainties. Classical univariate interpolation algorithms could sometimes be insufficient to capture high concentration and high gradient areas. Under these circumstances, the use of an auxiliary parameter could provide better estimates of arsenic distribution. Based on this premise, arsenic cokriging with a correlated parameter can improve the performance of interpolation and can enhance the quality of predictions. In order to test this hypothesis, a water quality dataset from an arsenic containing aquifer in Simav Plain, Turkey is used to develop arsenic distribution maps. Arsenic is cokriged with correlated parameters such as manganese, iron and dissolved oxygen; and the results are compared with univariate interpolation algorithms such as ordinary kriging and inverse distance weighing. The comparisons were performed with cross validation at sampling locations and assessed based on mean and root mean squared errors. The results revealed that maps developed using arsenic cokriging with iron have given the smallest error value and have shown closest fit to the extreme values in the dataset. Accordingly, arsenic cokriging with iron is believed to be a promising approach in mapping arsenic distributions in groundwater.en_US
dc.language.isoenen_US
dc.publisherAmerican Society of Civil Engineers (ASCE)en_US
dc.relation.ispartof5th International Perspective on Water Resources & the Environment Conference, IPWE 2012en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArsenic mappingen_US
dc.subjectCokrigingen_US
dc.subjectGeostatisticsen_US
dc.subjectSimav Plainen_US
dc.titleThe use of cokriging algorithm for arsenic mapping in groundwater systemsen_US
dc.typeConference Objecten_US
dc.authorid0000-0001-5307-3156en_US
dc.institutionauthorBaba, Alper-
dc.departmentIzmir Institute of Technology. Civil Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.grantfulltextopen-
item.languageiso639-1en-
item.fulltextWith Fulltext-
crisitem.author.deptDepartment of Civil Engineering-
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
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