Multivariate statistics and contamination factor to identify trace elements pollution in soil around Gerga City, Egypt
Multivariate statistics and contamination factor to identify trace elements pollution in soil around Gerga City, Egypt
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多变量统计和污染因子识别埃及格尔加市周围土壤中的微量元素污染
DOI：
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发表时间：
2019
影响因子：
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通讯作者：
A. Elnazer
中科院分区：
文献类型：
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作者：
I. Said;S. Salman;A. Elnazer
背景格尔加区包含不同的活动，包括城市、农业和工业，这可能会对土壤质量产生不利影响。采集了16个农田土壤样品(0~30 cm土层)，调查了土壤中微量元素(Co、Ni、Pb、Mn)的污染状况。结果根据污染因子指数，所研究的土壤中的微量元素从未污染到中度污染。统计分析表明钴、镍、铅的人为来源以及锰的自然来源。结论统计分析有助于区分土壤样品中微量元素的自然来源和人为来源。土壤中的锰主要来自自然来源，受成壤因素的影响，而交通排放和磷肥以及家庭活动是研究土壤中钴、镍、铅元素的相关来源。因此，建议定期进行环境监测，将受精率降至最低。
BackgroundGerga district contains different activities, urban, agriculture, and industry, which can impact adversely on the soil quality. Sixteen samples of the agricultural soil (0–30-cm depth) were collected to investigate the pollution of soil with trace elements (Co, Ni, Pb, and Mn). The statistical techniques were applied to discriminate the sources of these elements.ResultsThe studied soil ranged from uncontaminated to moderately contaminated with the studied trace elements based on the contamination factor index. The statistical analyses indicated the anthropogenic source of Co, Ni, and Pb as well as the natural source of Mn.ConclusionsThe statistical analyses assisted in the discrimination of natural and anthropogenic sources of trace elements in the investigated soil samples. Mn is mainly of natural origin, affected by pedogenic factor, whereas traffic emissions and phosphate fertilizer, as well as domestic activities, are relevant sources of Co, Ni, and Pb elements in the studied soil. Consequently, the recommendation is periodic environmental monitoring and minimizing the fertilization rate.
影响因子：
22.4
作者：
GUADAGNOLI, E;VELICER, WF
通讯作者：
VELICER, WF