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dc.contributor.authorPartani, Sadegh
dc.contributor.authorDanandeh Mehr, Ali
dc.contributor.authorMaghrebi, Mohsen
dc.contributor.authorMokhtari, Rouzbeh
dc.contributor.authorNachtnebel, Hans-Peter
dc.contributor.authorTaniwaki, Ricardo Hideo
dc.contributor.authorArzhangi, Amin
dc.date.accessioned2023-12-15T13:39:24Z
dc.date.available2023-12-15T13:39:24Z
dc.date.issued2023
dc.identifier.citationPartani, S., Mehr, A. D., Maghrebi, M., Mokhtari, R., Nachtnebel, H. P., Taniwaki, R. H. & Arzhangi, A. (2023). A new spatial estimation model and source apportionment of aliphatic hydrocarbons in coastal surface sediments of the Nayband Bay, Persian Gulf. Science of The Total Environment, 904.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12566/1836
dc.description.abstractHydrocarbons, originating from oil and gas industries, are considered a potential risk for Nayband Bay, a natural marine park with extended mangroves, located on the north coastlines of the Persian Gulf, Iran. This paper determines the potential sources and spatial distribution of hydrocarbons, especially aliphatic hydrocarbons (AHCs), in Nayband Bay through the simultaneous application of three indices in the coastline surface sediments. To this end, a field study was conducted in the inter-tidal coastal zones and wetlands. Sediment samples were taken from surface layers along four transects with four sampling points at different distances from the gulf. The hydrocarbon compounds of the samples including AHCs, total petroleum hydrocarbons, and heavy metals (Ni, V as crude oil indicators) were analyzed and classified to discover the pollution indicators. Pearson pairwise correlation and cluster analyses along with pollution indices were employed to describe the spatial distribution pattern of hydrocarbons, identify hot spots, and determine the potential origin of AHCs. Different interpolation scenarios based on topographic and oceanic features were proposed to detect the spatial dynamics of AHCs. The results revealed that hydrocarbons mainly originated from anthropogenic sources including oil and gas industries located far from the affected area. It was also concluded that the long-distance pollution transfer was based on oceanic currents and wind direction in the bay. The proposed scenarios showed that the mean concentration values of total organic carbon and total organic material vary in the range of 0.19 ppm to 0.4 ppm and 2.88 ppm to 3.20 ppm, respectively.en_US
dc.description.sponsorshipNo sponsoren_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHydrocarbonsen_US
dc.subjectHidrokarbonlartr_TR
dc.subjectCoastal sedimenten_US
dc.subjectKıyı çökeltisitr_TR
dc.subjectPetrogenic sourceen_US
dc.subjectPetrojenik kaynaktr_TR
dc.subjectMangroveen_US
dc.subjectMangrovtr_TR
dc.subjectPersian Gulfen_US
dc.subjectBasra Körfezitr_TR
dc.titleA new spatial estimation model and source apportionment of aliphatic hydrocarbons in coastal surface sediments of the Nayband Bay, Persian Gulfen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.relation.publicationcategoryInternational publicationen_US
dc.identifier.wosWOS:001081818300001
dc.identifier.scopus2-s2.0-85170646441
dc.identifier.volume904
dc.contributor.orcid0000-0003-2769-106X [Danandeh Mehr, Ali]
dc.contributor.abuauthorDanandeh Mehr, Ali
dc.contributor.yokid275430 [Danandeh Mehr, Ali]
dc.relation.journalScience of the Total Environmenten_US
dc.contributor.ScopusAuthorID58150194100 [Danandeh Mehr, Ali]
dc.identifier.PubMedID37678535
dc.identifier.doi10.1016/j.scitotenv.2023.166746


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