干旱区生态环境知识资源中心(Arid): Rapid assessment of elemental concentrations using pXRF and remote sensing on a dried lakebed

Arid

DOI	10.1016/j.jaridenv.2023.105087
	Rapid assessment of elemental concentrations using pXRF and remote sensing on a dried lakebed
	Gozukara, Gafur; Dengiz, Orhan; Shahbazi, Farzin; Senol, Huseyin; Ozlu, Ekrem; Silva, Sergio Henrique Godinho; Babur, Emre
通讯作者	Gozukara, G
来源期刊	JOURNAL OF ARID ENVIRONMENTS
ISSN	0140-1963
EISSN	1095-922X
出版年	2023
卷号	219
英文摘要	This study aimed to i) explore the land-use effect (former lakebed, pasture, and agricultural areas) on elemental concentrations, enrichment factors (EFs), and geo-accumulation indices (Igeos), ii) provide X-ray diffractograms of the primary minerals and identify the clay minerals dominant in each land-use scenario, iii) map the spatial distribution of elemental concentration, EFs, and Igeos using Digital Soil Mapping (DSM) approaches. We collected a total of 240 soil samples. Our findings highlight that vermiculite was a common clay-sized mineral, and aragonite, gypsum, and calcite were dominant primary minerals in each land-use. The remote sensing data (Sentinel-2 MSI and Landsat-8 OLI) were used to calculate some environmental covariates useful for digital mapping of elemental concentrations, EFs, and Igeos. The highest concordance correlation coefficient (CCC) was found in the prediction of Hg (CCC = 0.79) using remote sensing data based on Sentinel-2 with the Random forest (RF) model. There is neither threat in terms of Cu, Zn, and Pb nor the impact of anthropogenic activities in their distribution under each land-use scenario. The study area was enriched with Hg, Cd, and Ni (very high, EF = 20-40), followed by Cr (significant, EF = 5.88) and As (moderate, EF = 2.08). A similar trend was also found for Igeos across the study area. We conclude that the distribution of elemental concentration, EFs, and Igeos were significantly affected by the shrinking of the Burdur Lake and the different land-use scenarios in this semi-arid region.
英文关键词	Concordance Digital soil mapping Landsat-8 OLI Sentinel-2 MSI Proximal soil sensor
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001102384500001
WOS关键词	HEAVY-METALS ; URMIA LAKE ; SOIL ; INDEX ; RISK ; IRON ; CONTAMINATION ; BASIN ; IRAN
WOS类目	Ecology ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397169
推荐引用方式 GB/T 7714	Gozukara, Gafur,Dengiz, Orhan,Shahbazi, Farzin,et al. Rapid assessment of elemental concentrations using pXRF and remote sensing on a dried lakebed[J],2023,219.
APA	Gozukara, Gafur.,Dengiz, Orhan.,Shahbazi, Farzin.,Senol, Huseyin.,Ozlu, Ekrem.,...&Babur, Emre.(2023).Rapid assessment of elemental concentrations using pXRF and remote sensing on a dried lakebed.JOURNAL OF ARID ENVIRONMENTS,219.
MLA	Gozukara, Gafur,et al."Rapid assessment of elemental concentrations using pXRF and remote sensing on a dried lakebed".JOURNAL OF ARID ENVIRONMENTS 219(2023).