Digital mapping of potentially toxic elements enrichment in soils of Urmia Lake due to water level decline.

Digital assessment Enrichment factor Modified pollution index Random forest Remote sensing Uncertainty analysis

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
20 Feb 2022
Historique:
received: 10 10 2021
revised: 21 11 2021
accepted: 26 11 2021
pubmed: 6 12 2021
medline: 15 1 2022
entrez: 5 12 2021
Statut: ppublish

Résumé

Anthropogenic 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.

Identifiants

pubmed: 34863763
pii: S0048-9697(21)07162-X
doi: 10.1016/j.scitotenv.2021.152086
pii:
doi:

Substances chimiques

Metals, Heavy 0
Soil 0
Soil Pollutants 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

152086

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Zohreh Alvyar (Z)

Soil Science Department, Faculty of Agriculture, University of Tabriz, Iran.

Farzin Shahbazi (F)

Soil Science Department, Faculty of Agriculture, University of Tabriz, Iran. Electronic address: shahbazi@tabrizu.ac.ir.

Shahin Oustan (S)

Soil Science Department, Faculty of Agriculture, University of Tabriz, Iran.

Orhan Dengiz (O)

Ondokuz Mayis University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Turkey.

Budiman Minasny (B)

Sydney Institute of Agriculture & School of Life and Environmental Sciences, The University of Sydney, Eveleigh, NSW 2015, Australia.

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Classifications MeSH