A Monitoring System for Air Quality and Soil Environment in Mining Areas Based on the Internet of Things

J. Sensors Pub Date : 2022-08-26 DOI:10.1155/2022/5419167
Hongjing Dai, Dena Huang, Haili Mao
{"title":"A Monitoring System for Air Quality and Soil Environment in Mining Areas Based on the Internet of Things","authors":"Hongjing Dai, Dena Huang, Haili Mao","doi":"10.1155/2022/5419167","DOIUrl":null,"url":null,"abstract":"In order to solve the intensifying problem of heavy metal pollution of soil in mining areas, a method for monitoring air quality and soil environment in mining areas based on the Internet of Things is proposed. Using meta-analysis method and health risk assessment method, the impact of mining on soil heavy metal content in Southwest China was quantitatively analyzed, and the relationship between soil heavy metal value and its potential influencing factors was discussed, as well as the heavy metal pollution, ecological risk, and health caused by soil mining activities. Risks were assessed. The results showed that artificial and oral intake were the main modes of soil heavy metal exposure, with the highest daily intakes for noncarcinogenic risk children and the highest daily intakes for carcinogenic risk adult females. The noncarcinogenic risk (HQ>1) of soil As and Pb exposure to children was 3.74 and 1.44, respectively. The carcinogenic risk values of As, Cd, Cr, and Ni in soil were all higher than 10-6, indicating that the carcinogenic risk was within the tolerance range of human body. Children were exposed to the combined noncarcinogenic risk (\n \n HI\n =\n 3.83\n \n ), and the risk values of the three types of recipients were \n \n 1.19\n ×\n \n \n 10\n \n \n −\n 4\n \n \n \n , \n \n 1.21\n ×\n \n \n 10\n \n \n −\n 4\n \n \n \n , and \n \n 1.06\n ×\n \n \n 10\n \n \n −\n 4\n \n \n \n , respectively. The correlation between heavy metal content and environmental factors was obtained. It is verified that the system in this paper can effectively monitor the meteorological environment and soil environment, and at the same time, it reveals the pollution law of heavy metals in the soil of the mining area, which provides supporting conditions for future mining and heavy metal pollution management.","PeriodicalId":14776,"journal":{"name":"J. Sensors","volume":"58 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2022/5419167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In order to solve the intensifying problem of heavy metal pollution of soil in mining areas, a method for monitoring air quality and soil environment in mining areas based on the Internet of Things is proposed. Using meta-analysis method and health risk assessment method, the impact of mining on soil heavy metal content in Southwest China was quantitatively analyzed, and the relationship between soil heavy metal value and its potential influencing factors was discussed, as well as the heavy metal pollution, ecological risk, and health caused by soil mining activities. Risks were assessed. The results showed that artificial and oral intake were the main modes of soil heavy metal exposure, with the highest daily intakes for noncarcinogenic risk children and the highest daily intakes for carcinogenic risk adult females. The noncarcinogenic risk (HQ>1) of soil As and Pb exposure to children was 3.74 and 1.44, respectively. The carcinogenic risk values of As, Cd, Cr, and Ni in soil were all higher than 10-6, indicating that the carcinogenic risk was within the tolerance range of human body. Children were exposed to the combined noncarcinogenic risk ( HI = 3.83 ), and the risk values of the three types of recipients were 1.19 × 10 − 4 , 1.21 × 10 − 4 , and 1.06 × 10 − 4 , respectively. The correlation between heavy metal content and environmental factors was obtained. It is verified that the system in this paper can effectively monitor the meteorological environment and soil environment, and at the same time, it reveals the pollution law of heavy metals in the soil of the mining area, which provides supporting conditions for future mining and heavy metal pollution management.
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
基于物联网的矿区空气质量与土壤环境监测系统
为解决矿区土壤重金属污染加剧的问题,提出了一种基于物联网的矿区空气质量与土壤环境监测方法。采用荟萃分析方法和健康风险评价方法,定量分析了西南地区采矿对土壤重金属含量的影响,探讨了土壤重金属值与其潜在影响因素之间的关系,以及土壤采矿活动对重金属污染、生态风险和健康的影响。评估了风险。结果表明,人工摄入和口服摄入是土壤重金属暴露的主要方式,无致癌风险的儿童日摄入量最高,有致癌风险的成年女性日摄入量最高。土壤砷和铅对儿童的非致癌风险(HQ>1)分别为3.74和1.44。土壤中As、Cd、Cr、Ni的致癌风险值均高于10-6,表明其致癌风险在人体耐受范围内。儿童暴露于综合非致癌风险(HI = 3.83),三种受体的风险值分别为1.19 × 10−4、1.21 × 10−4和1.06 × 10−4。得到了重金属含量与环境因素的相关性。实践证明,本文系统能够有效地对气象环境和土壤环境进行监测,同时揭示矿区土壤中重金属的污染规律,为今后的开采和重金属污染治理提供支撑条件。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Index Construction and Application of School-Enterprise Collaborative Education Platform Based on AHP Fuzzy Method in Double Creation Education Practice Optimization of Intelligent Display Mode of Museum Cultural Relics Based on Intelligent Wireless Sensor Network Feature Extraction Method of Art Visual Communication Image Based on 5G Intelligent Sensor Network Scene Classification Using Deep Networks Combined with Visual Attention Spatial Expression of Multifaceted Soft Decoration Elements: Application of 3D Reconstruction Algorithm in Soft Decoration and Furnishing Design of Office Space
×
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