Publication:
Digital Mapping of Potentially Toxic Elements Enrichment in Soils of Urmia Lake Due to Water Level Decline

dc.authorscopusid57365878300
dc.authorscopusid26536596500
dc.authorscopusid25653520900
dc.authorscopusid16052385200
dc.authorscopusid6701436325
dc.authorwosidMinasny, Budiman/B-4744-2011
dc.authorwosidDengiz, Orhan/Abg-7284-2020
dc.contributor.authorAlvyar, Zohreh
dc.contributor.authorShahbazi, Farzin
dc.contributor.authorOustan, Shahin
dc.contributor.authorDengiz, Orhan
dc.contributor.authorMinasny, Budiman
dc.contributor.authorIDShahbazi, Farzin/0000-0002-0024-7527
dc.contributor.authorIDAlvyar, Zohreh/0000-0001-5606-2516
dc.contributor.authorIDMinasny, Budiman/0000-0002-1182-2371
dc.date.accessioned2025-12-11T01:27:58Z
dc.date.issued2022
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Alvyar, Zohreh; Shahbazi, Farzin; Oustan, Shahin] Univ Tabriz, Fac Agr, Soil Sci Dept, Tabriz 5166616471, Iran; [Dengiz, Orhan] Ondokuz Mayis Univ, Fac Agr, Dept Soil Sci & Plant Nutr, Samsun, Turkey; [Minasny, Budiman] Univ Sydney, Sydney Inst Agr & Sch Life & Environm Sci, Eveleigh, NSW 2015, Australiaen_US
dc.descriptionShahbazi, Farzin/0000-0002-0024-7527; Alvyar, Zohreh/0000-0001-5606-2516; Minasny, Budiman/0000-0002-1182-2371en_US
dc.description.abstractAnthropogenic activities, in addition to climate change caused the drying of Urmia Lake in Iran, since 2005. Dust storms blown from the dried lakebed have created serious environmental hazards in adjacent areas. These crises would jeopardise achieving United Nations Sustainable Development Goals (UN SDGs) and emphasise the need for evaluating the spatial distribution of soil enrichment of potentially toxic elements (PTEs) (As, Cr, Cu, Ni, Pb and Zn). Conventional assessment would require a costly sampling method to map potentially polluted areas. Digital soil mapping (DSM) has proved to be a cost-efficient method for soil mapping, however its application in mapping enrichment of PTEs in soil is still lacking. This study aims to map and project the potential pollution of PTEs in the Urmia Lake area using digital mapping techniques and Landsat-8 OLI satellite images. A total of 129 surficial soil samples were collected as ground control. Enrichment factors (EFs) of PTEs and the Modified Pollution Index (MPI) were spatially predicted using two machine learning models. Covariates were derived from a suite of Landsat-8 spectral indices. The bootstrapping method was used to analyse the uncertainties. The results showed that Random Forests performed well in estimating EFs of several PTEs. Spectral indices using NIR and SWIR bands were key to predict these PTEs and MPI. The digital maps demonstrated that the study area was enriched with As, Cu and Pb at moderate to significant levels. Regions under the lower ecological level (elevation <-1274 m) had significantly larger enrichment than those of higher elevation. Based on MPI, 43% of the area was categorised as moderately polluted, and 31% of the area was moderately-heavily polluted. Possible sources of PTEs were discharges from farmlands, landfills, and industries. Our results revealed that the Urmia Lake desiccating has caused severe environmental challenges and needs immediate restoration.en_US
dc.description.sponsorshipLoire Valley Institute for Advanced Research Studies (France)en_US
dc.description.sponsorshipThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors would like to thank both the University of Tabriz and Ondokuz Mayis University, Turkey for their collaboration. Thanks to the University of Sydney, Australia, for the XRF analysis. BM is a member of the research consortium GLADSOILMAP supported by the Loire Valley Institute for Advanced Research Studies (France) .en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.1016/j.scitotenv.2021.152086
dc.identifier.issn0048-9697
dc.identifier.issn1879-1026
dc.identifier.pmid34863763
dc.identifier.scopus2-s2.0-85120804478
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.scitotenv.2021.152086
dc.identifier.urihttps://hdl.handle.net/20.500.12712/43965
dc.identifier.volume808en_US
dc.identifier.wosWOS:000740245600003
dc.identifier.wosqualityQ1
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofScience of the Total Environmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDigital Assessmenten_US
dc.subjectEnrichment Factoren_US
dc.subjectModified Pollution Indexen_US
dc.subjectRandom Foresten_US
dc.subjectRemote Sensingen_US
dc.subjectUncertainty Analysisen_US
dc.titleDigital Mapping of Potentially Toxic Elements Enrichment in Soils of Urmia Lake Due to Water Level Declineen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files