Zoning of Dust Heavy Metals in Arak Plain Using Pollution Indicators and Geographic Information System (GIS)

F. Saberinasab, Samar Mortazavi, A. Riyahi Bakhtiari
{"title":"Zoning of Dust Heavy Metals in Arak Plain Using Pollution Indicators and Geographic Information System (GIS)","authors":"F. Saberinasab, Samar Mortazavi, A. Riyahi Bakhtiari","doi":"10.34172/jaehr.1322","DOIUrl":null,"url":null,"abstract":"Background: In regions with heightened pollutant concentrations, especially in industrial and urban areas, dust plays a crucial role in carrying complex metal components, posing environmental challenges and health risks. This study utilized pollution indicators and geographic information system (GIS) to delineate the spatial distribution of heavy metals in the Arak plain. Methods: Dust samples from 30 stations across the Arak plain were systematically collected through random sampling. Analysis using inductively coupled plasma spectrometry (ICP-OES) allowed the calculation of pollution indices (PI) and the Nemerow Integrated Pollution Index (NIPI) for lead (Pb), zinc (Zn), copper (Cu), nickel (Ni), and iron (Fe). GIS generated spatial distribution maps depicting metal pollution. Results: The average concentrations were 45.5 mg/kg for Pb, 10.7 mg/kg for Zn, 0.47 mg/kg for Cu, 30.8 mg/kg for Ni, and 0.206 mg/kg for Fe. Analysis of PI, NIPI, and spatial distribution maps revealed heightened pollution in the northeast, center, south, and southwest areas of the Arak plain, attributed to human activities like heavy vehicle traffic, high population density, concentrated agriculture, and specific industrial operations. Conclusion: The study recommends mitigation strategies, including biological methods like phytoremediation, promotion of public transportation, mandatory environmental standards for industries, and encouragement of green practices. These initiatives aim to address and reduce environmental pollution in the Arak plain.","PeriodicalId":14962,"journal":{"name":"Journal of Advances in Environmental Health Research","volume":"87 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advances in Environmental Health Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34172/jaehr.1322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: In regions with heightened pollutant concentrations, especially in industrial and urban areas, dust plays a crucial role in carrying complex metal components, posing environmental challenges and health risks. This study utilized pollution indicators and geographic information system (GIS) to delineate the spatial distribution of heavy metals in the Arak plain. Methods: Dust samples from 30 stations across the Arak plain were systematically collected through random sampling. Analysis using inductively coupled plasma spectrometry (ICP-OES) allowed the calculation of pollution indices (PI) and the Nemerow Integrated Pollution Index (NIPI) for lead (Pb), zinc (Zn), copper (Cu), nickel (Ni), and iron (Fe). GIS generated spatial distribution maps depicting metal pollution. Results: The average concentrations were 45.5 mg/kg for Pb, 10.7 mg/kg for Zn, 0.47 mg/kg for Cu, 30.8 mg/kg for Ni, and 0.206 mg/kg for Fe. Analysis of PI, NIPI, and spatial distribution maps revealed heightened pollution in the northeast, center, south, and southwest areas of the Arak plain, attributed to human activities like heavy vehicle traffic, high population density, concentrated agriculture, and specific industrial operations. Conclusion: The study recommends mitigation strategies, including biological methods like phytoremediation, promotion of public transportation, mandatory environmental standards for industries, and encouragement of green practices. These initiatives aim to address and reduce environmental pollution in the Arak plain.
利用污染指标和地理信息系统(GIS)对阿拉克平原的粉尘重金属进行分区
背景:在污染物浓度较高的地区,尤其是在工业和城市地区,粉尘在携带复杂金属成分方面起着至关重要的作用,从而带来环境挑战和健康风险。本研究利用污染指标和地理信息系统(GIS)来划定阿拉克平原重金属的空间分布。研究方法通过随机抽样的方式系统地收集了来自阿拉克平原 30 个站点的粉尘样本。使用电感耦合等离子体光谱仪(ICP-OES)进行分析,计算出铅(Pb)、锌(Zn)、铜(Cu)、镍(Ni)和铁(Fe)的污染指数(PI)和内梅罗综合污染指数(NIPI)。地理信息系统生成了描述金属污染的空间分布图。结果:铅的平均浓度为 45.5 毫克/千克,锌为 10.7 毫克/千克,铜为 0.47 毫克/千克,镍为 30.8 毫克/千克,铁为 0.206 毫克/千克。对 PI、NIPI 和空间分布图的分析表明,阿拉克平原东北部、中部、南部和西南部地区的污染程度较高,这归因于重型车辆交通、高人口密度、集中农业和特定工业生产等人类活动。结论研究建议采取缓解战略,包括植物修复等生物方法、推广公共交通、对工业实行强制性环境标准以及鼓励绿色做法。这些举措旨在解决和减少阿拉克平原的环境污染问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信