热电厂区表层土壤金属污染水平评估:来自发展中国家(印度)的证据

IF 9 Q1 ENVIRONMENTAL SCIENCES Environmental Chemistry and Ecotoxicology Pub Date : 2022-01-01 DOI:10.1016/j.enceco.2021.11.003
Somnath Mandal , Subhasis Bhattacharya , Suman Paul
{"title":"热电厂区表层土壤金属污染水平评估:来自发展中国家(印度)的证据","authors":"Somnath Mandal ,&nbsp;Subhasis Bhattacharya ,&nbsp;Suman Paul","doi":"10.1016/j.enceco.2021.11.003","DOIUrl":null,"url":null,"abstract":"<div><p>The purpose of this study was to determine the concentrations and contamination level of heavy metals and metalloid (i.e., Zn, Fe, Cu, Mn, Pb and As) in sediment samples taken from a thermal power station's 5 km buffer area (Bandel thermal power station-BTPS) in West Bengal, India. The atomic absorption spectrophotometer (AAS) was used to determine the presence of heavy metals in soil samples. Heavy metal and metalloid concentrations such as Zn, Fe, Cu, Mn, Pb and As were studied using various contamination and pollution-related indexes such as geo-accumulation index, enrichment factor, contamination factor, contamination degree, modified degree of contamination index, and pollution load index, and spatial distribution was presented using interpolation technique. An ecological risk index for all metals and a forecasted ecological risk index are also used to investigate the impact of heavy metals on biological elements in the soil. ANOVA and the Kruskal-Wallis test were among the multivariate statistical procedures used. Hierarchical cluster analysis was used to estimate the spatial similarity of sample locations, and Pearson's correlation was used to determine the relationship between different metal concentrations and soil physico-chemical parameters. Almost all of the sample sites had soils of very good to medium quality, according to the study. All heavy metals at this research site, with the exception of arsenic and lead, behave as plant micronutrients. Furthermore, no heavy metal band, with the exception of As, had a consistent concentration. Almost all of the sampling locations had extremely low to very low levels of pollution.</p></div>","PeriodicalId":100480,"journal":{"name":"Environmental Chemistry and Ecotoxicology","volume":"4 ","pages":"Pages 37-49"},"PeriodicalIF":9.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590182621000333/pdfft?md5=65ba624ce51d8a4b7347f37ff69ae4f8&pid=1-s2.0-S2590182621000333-main.pdf","citationCount":"17","resultStr":"{\"title\":\"Assessing the level of contamination of metals in surface soils at thermal power area: Evidence from developing country (India)\",\"authors\":\"Somnath Mandal ,&nbsp;Subhasis Bhattacharya ,&nbsp;Suman Paul\",\"doi\":\"10.1016/j.enceco.2021.11.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The purpose of this study was to determine the concentrations and contamination level of heavy metals and metalloid (i.e., Zn, Fe, Cu, Mn, Pb and As) in sediment samples taken from a thermal power station's 5 km buffer area (Bandel thermal power station-BTPS) in West Bengal, India. The atomic absorption spectrophotometer (AAS) was used to determine the presence of heavy metals in soil samples. Heavy metal and metalloid concentrations such as Zn, Fe, Cu, Mn, Pb and As were studied using various contamination and pollution-related indexes such as geo-accumulation index, enrichment factor, contamination factor, contamination degree, modified degree of contamination index, and pollution load index, and spatial distribution was presented using interpolation technique. An ecological risk index for all metals and a forecasted ecological risk index are also used to investigate the impact of heavy metals on biological elements in the soil. ANOVA and the Kruskal-Wallis test were among the multivariate statistical procedures used. Hierarchical cluster analysis was used to estimate the spatial similarity of sample locations, and Pearson's correlation was used to determine the relationship between different metal concentrations and soil physico-chemical parameters. Almost all of the sample sites had soils of very good to medium quality, according to the study. All heavy metals at this research site, with the exception of arsenic and lead, behave as plant micronutrients. Furthermore, no heavy metal band, with the exception of As, had a consistent concentration. Almost all of the sampling locations had extremely low to very low levels of pollution.</p></div>\",\"PeriodicalId\":100480,\"journal\":{\"name\":\"Environmental Chemistry and Ecotoxicology\",\"volume\":\"4 \",\"pages\":\"Pages 37-49\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2590182621000333/pdfft?md5=65ba624ce51d8a4b7347f37ff69ae4f8&pid=1-s2.0-S2590182621000333-main.pdf\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Chemistry and Ecotoxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590182621000333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Chemistry and Ecotoxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590182621000333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 17

摘要

本研究的目的是确定从印度西孟加拉邦一个热电站5公里缓冲区(班德尔热电站- btps)提取的沉积物样品中重金属和类金属(即锌、铁、铜、锰、铅和砷)的浓度和污染水平。采用原子吸收分光光度计(AAS)测定土壤样品中重金属的含量。采用地积累指数、富集系数、污染系数、污染程度、修正污染程度指数、污染负荷指数等污染及污染相关指标,对Zn、Fe、Cu、Mn、Pb、as等重金属及类金属浓度进行了研究,并利用插值技术绘制了空间分布图。建立了全金属生态风险指数和预测生态风险指数,探讨了重金属对土壤生物元素的影响。方差分析和Kruskal-Wallis检验是使用的多变量统计程序之一。采用层次聚类分析估算样品位置的空间相似性,采用Pearson相关分析确定不同金属浓度与土壤理化参数之间的关系。根据这项研究,几乎所有的样本地点都有非常好的到中等质量的土壤。除砷和铅外,该研究地点的所有重金属都表现为植物微量营养素。此外,除As外,没有重金属乐队的浓度一致。几乎所有采样地点的污染程度都极低至极低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Assessing the level of contamination of metals in surface soils at thermal power area: Evidence from developing country (India)

The purpose of this study was to determine the concentrations and contamination level of heavy metals and metalloid (i.e., Zn, Fe, Cu, Mn, Pb and As) in sediment samples taken from a thermal power station's 5 km buffer area (Bandel thermal power station-BTPS) in West Bengal, India. The atomic absorption spectrophotometer (AAS) was used to determine the presence of heavy metals in soil samples. Heavy metal and metalloid concentrations such as Zn, Fe, Cu, Mn, Pb and As were studied using various contamination and pollution-related indexes such as geo-accumulation index, enrichment factor, contamination factor, contamination degree, modified degree of contamination index, and pollution load index, and spatial distribution was presented using interpolation technique. An ecological risk index for all metals and a forecasted ecological risk index are also used to investigate the impact of heavy metals on biological elements in the soil. ANOVA and the Kruskal-Wallis test were among the multivariate statistical procedures used. Hierarchical cluster analysis was used to estimate the spatial similarity of sample locations, and Pearson's correlation was used to determine the relationship between different metal concentrations and soil physico-chemical parameters. Almost all of the sample sites had soils of very good to medium quality, according to the study. All heavy metals at this research site, with the exception of arsenic and lead, behave as plant micronutrients. Furthermore, no heavy metal band, with the exception of As, had a consistent concentration. Almost all of the sampling locations had extremely low to very low levels of pollution.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
15.40
自引率
0.00%
发文量
0
期刊最新文献
Characterization of nitrifying bacteria and exploring a novel approach for toxicity monitoring in water Perinatal exposure to PBDE-47 decreases brain glucose metabolism in male adult rats: Associations with shifts in triiodothyronine and neurobehavior Origin of biomarkers (PAH, n-alkane, hopane, estrane) in different colors of plastic resin pellets and surface sediments from coastal area of the Makuran-Oman Sea Associations of polycyclic aromatic hydrocarbons exposure with mortality and effect modification by folate biomarkers in a prospective population The plastisphere ecology: Assessing the impact of different pollution sources on microbial community composition, function and assembly in aquatic ecosystems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1