Spatial distribution of coal quality parameters with respect to production requirements: an adaptive neuro-fuzzy application for the can coal field (Turkey)

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dc.authoridGokceoglu, Candan -- 0000-0003-4762-9933; Gokceoglu, Candan -- 0000-0003-4762-9933
dc.contributor.authorKayabaşı, Ali
dc.contributor.authorTürer, Dilek
dc.contributor.authorYeşiloğlu Gültekin, Nurgül
dc.contributor.authorGökçeo?lu, Candan
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:18:30Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:18:30Z
dc.date.issued2016
dc.departmentMühendislik Fakültesi
dc.description.abstractDetermination of spatial distribution of coal quality parameters can ease management of the operations in coal mines. In this study, in order to provide guidance for the excavations, Can coal mine production map showing regions having suitable coal parameters as feed coals for a power plant and also for public sale was prepared using adaptive neuro-fuzzy inference system tool. Statistical relationships among calorific value, ash content and sulphur content were evaluated using the data obtained from boreholes opened in the mine between 2006 and 2009. According to the obtained production map, coals of Can mine are not suitable for public sale because of their high sulphur content and hence they should be blended with low sulphur coals to meet the requirements, before sale.
dc.identifier.doi10.1080/10106049.2015.1041564
dc.identifier.endpage209en_US
dc.identifier.issn1010-6049
dc.identifier.issn1752-0762
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage193en_US
dc.identifier.urihttps://doi.org/10.1080/10106049.2015.1041564
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4886
dc.identifier.volume31en_US
dc.identifier.wosWOS:000365598900005
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTAYLOR & FRANCIS
dc.relation.ispartofGEOCARTO INTERNATIONAL
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectCoal Quality
dc.subjectProduction Map
dc.subjectAir Pollution
dc.subjectANFIS
dc.titleSpatial distribution of coal quality parameters with respect to production requirements: an adaptive neuro-fuzzy application for the can coal field (Turkey)
dc.typeArticle

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