Analysis and Assessment of the Soil Environment Around a Plateau Municipal Solid Waste Incineration Plant

Wenwu Zhou, Zeng Dan, Dean Meng, Jiachen Guo, Peng Zhou, Guanyi Chen
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Abstract

ABSTRACTTo understand the source, distribution and degree of pollution of heavy metals in the soil around a plateau municipal solid waste incineration plant, a municipal solid waste incineration plant in Lhasa was taken as the research object in this study. The soil surrounding the facility was sampled, and the contents of heavy metals, including Cu, Pb, Zn, Cr, Ni, Cd, As, and Hg, in the soil were analyzed. Then, heavy metal pollution and risk assessments were conducted using the geoaccumulation index method, Nemerow index method, and potential ecological risk index method. Additionally, correlation and principal component analysis were used to determine the correlation between heavy metals in the soil and their sources of pollution. The results showed that based on the Nemerow comprehensive pollution index, the soil surrounding the incineration plant generally had a low level of pollution. Through the analysis of individual potential ecological risk indices, it was found that only the heavy metal Cd presented moderate potential risks, while the other seven heavy metals had mild potential risks. The average value of the total potential risk coefficient was 107.31, which was less than 150, indicating that there was a slight potential risk associated with the soil around the incineration plant. There was significant correlation between six heavy metals, namely, Cu, Pb, Zn, Cr, Ni, and Cd, in the soil around the incineration plant. Their pollution sources were similar, and their levels tended to be affected by the incineration plant. However, there was no significant correlation between the heavy metals As and Hg and the other six heavy metals. These two heavy metals had independent sources of pollution but were also influenced by human activities.KEYWORDS: Heavy metalSpatial distribution characteristicsGeoaccumulation indexPotential ecological risk indexPrincipal component analysis Disclosure statementNo potential conflict of interest was reported by the author(s).Author contributionsZeng Dan and Guanyi Chen provided the research ideas and experimental equipment. Wenwu Zhou, Dean Meng, Jiachen Guo, Peng Zhou completed the experimental operation and the arrangement and processing of experimental data.Consent to participateAll authors were participated in this work.Consent to publishAll authors agree to publish.Data availability statementAll relevant data are within the manuscript and available from the corresponding author upon request.Ethical approvalThis paper mainly studies the heavy metals in landfill soil, not involving human and animal research.Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/15320383.2023.2276178Additional informationFundingThe work was supported by the National Natural Science Foundation of China Project [52160026]; High-level Talent Training Program of Tibet University [2020-GSP-B010]; Academic development support project for young doctors of Tibet University [zdbs202211]; Key R & D projects of Tibet Autonomous Region [XZ202101ZY0010G; XZ202301ZY0029G; XZ202202ZY0004N]; National Key Research &Development Program of China [2019YFC1904101].
某高原城市生活垃圾焚烧厂周边土壤环境分析与评价
摘要为了解高原某城市生活垃圾焚烧厂周边土壤重金属的来源、分布及污染程度,以拉萨市某城市生活垃圾焚烧厂为研究对象。对设施周边土壤进行采样,分析土壤中Cu、Pb、Zn、Cr、Ni、Cd、As、Hg等重金属的含量。然后采用地质累积指数法、Nemerow指数法和潜在生态风险指数法进行重金属污染及风险评价。此外,利用相关分析和主成分分析确定了土壤重金属与污染源之间的相关性。结果表明:基于Nemerow综合污染指数,焚烧厂周边土壤总体污染水平较低。通过对个体潜在生态风险指标的分析,发现只有重金属Cd存在中度潜在风险,其他7种重金属存在轻度潜在风险。总潜在风险系数平均值为107.31,小于150,表明焚烧厂周围土壤存在轻微潜在风险。焚烧厂周围土壤中Cu、Pb、Zn、Cr、Ni、Cd 6种重金属存在显著相关性。两者的污染源相似,且污染水平有受焚烧厂影响的趋势。重金属As、Hg与其他6种重金属之间无显著相关性。这两种重金属具有独立的污染源,但也受到人类活动的影响。关键词:重金属空间分布特征地质累积指数潜在生态风险指数主成分分析披露声明作者未报告潜在利益冲突。作者曾丹、陈冠毅提供了研究思路和实验设备。周文武、孟迪恩、郭家臣、周鹏完成了实验操作和实验数据的整理和处理。同意参与所有作者都参与了这项工作。同意发表所有作者同意发表。数据可用性声明所有相关数据都在稿件中,并可根据要求从通讯作者处获得。伦理审批本文主要研究垃圾填埋场土壤中的重金属,不涉及人体和动物实验。补充资料本文补充资料可通过https://doi.org/10.1080/15320383.2023.2276178Additional info在线获取。基金资助:国家自然科学基金项目[52160026];西藏大学高层次人才培养计划[2020-GSP-B010];西藏大学青年博士学术发展支持项目[zdbs202211];西藏自治区重点研发项目[XZ202101ZY0010G;XZ202301ZY0029G;XZ202202ZY0004N];国家重点研发计划[2019YFC1904101]。
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