干旱区生态环境知识资源中心(Arid): Combination of GIS and Multivariate Analysis to Assess the Soil Heavy Metal Contamination in Some Arid Zones

Arid

DOI	10.3390/agronomy12112871
	Combination of GIS and Multivariate Analysis to Assess the Soil Heavy Metal Contamination in Some Arid Zones
	El Behairy, Radwa A.; El Baroudy, Ahmed A.; Ibrahim, Mahmoud M.; Mohamed, Elsayed Said; Rebouh, Nazih Y.; Shokr, Mohamed S.
通讯作者	Shokr, MS
来源期刊	AGRONOMY-BASEL
EISSN	2073-4395
出版年	2022
卷号	12 期号:11
英文摘要	Recent decades have witnessed a danger to food security as well as to human health because of pollutants' negative impact on crop quality. An accurate estimate of the heavy metal concentrations in Egypt's north Nile Delta is required to lower the high concentration levels of heavy metal in the soil as a means to develop a remediation strategy that stabilizes heavy metals in contaminated soil. Using a geo-accumulation index (I-geo), contamination factor (CF), Improved Nemerow's Pollution Index (Pn), and Potential Ecological Risk Index (PERI), supported by GIS; principal component analysis (PCA), and cluster analysis, six heavy metals (As, Co, Cu, Ni, V, and Zn) were analyzed from 15 soil profile layers (61 soil samples) to determine the extent of the soil contamination in the area studied. The findings demonstrate the widespread I-geo contamination of As, Co, Cu, Ni, V, and Zn in different layers. The ranges for the I-geo values were from -8.2 to 5.3; 4.11 to 1.8; 6.4 to 1.9; -9.7 to 2.8; -6.3 to 2.9; and from -12.5 to 2.4 for As, Co, Cu, Ni, V, and Zn, respectively. I-geo categorization therefore ranged from uncontaminated to strongly/extremely contaminated. The CF values varied from 0.01 to 60.6; 0.09 to 5.17; 0.02 to 10.51; 0 to 10.51; 0.02 to 7.12; and 0 to 7.68 for As, Co, Cu, Ni, V, and Zn, respectively. In decreasing sequence, the CFs are arranged as follows: CF (As), CF (Ni), CF (Zn), CF (V), CF (Cu), and CF (Co). Most of the research region (71.9%) consisted of a class of moderately to heavily polluted areas. Additionally, a large portion of the study region (49.17%) has a very high risk of contamination, as per the results of the PERI index. The use of a correlation matrix, cluster analysis, and principal component analysis(PCA) to evaluate the variability in the soil's chemical content revealed the impact from anthropogenic activities on the heavy metal concentration levels in the study area's soil. The current findings reflect the poor quality of management in the research region, which led to the increase in the concentration of heavy metals in the soil. Decision-makers could use the outcomes from the spatial distribution maps for contaminants and their levels as a basis for creating heavy metal mitigation strategies.
英文关键词	principal component analysis (PCA) analysis cluster analysis dry lands contamination indices Nile Delta
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000894319700001
WOS关键词	TRACE-ELEMENT INPUTS ; AGRICULTURAL SOILS ; URBAN SOILS ; MULTIPLE SCALES ; POLLUTION ; WATER ; AMENDMENTS ; INVENTORY ; QUALITY ; REGION
WOS类目	Agronomy ; Plant Sciences
WOS研究方向	Agriculture ; Plant Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/391783
推荐引用方式 GB/T 7714	El Behairy, Radwa A.,El Baroudy, Ahmed A.,Ibrahim, Mahmoud M.,et al. Combination of GIS and Multivariate Analysis to Assess the Soil Heavy Metal Contamination in Some Arid Zones[J],2022,12(11).
APA	El Behairy, Radwa A.,El Baroudy, Ahmed A.,Ibrahim, Mahmoud M.,Mohamed, Elsayed Said,Rebouh, Nazih Y.,&Shokr, Mohamed S..(2022).Combination of GIS and Multivariate Analysis to Assess the Soil Heavy Metal Contamination in Some Arid Zones.AGRONOMY-BASEL,12(11).
MLA	El Behairy, Radwa A.,et al."Combination of GIS and Multivariate Analysis to Assess the Soil Heavy Metal Contamination in Some Arid Zones".AGRONOMY-BASEL 12.11(2022).