基于APCS-MLR和PMF模型的石煤矿区及周边农田土壤重金属污染源解析[j]。

Q2 Environmental Science
Tian-Hao Dong, Shu-Fang Pan, Ren-Jie Zhang, Li-Heng Jiang, Yan Guo, Xiong-Hui Ji, Yun-He Xie
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引用次数: 0

摘要

为了调查石煤开采活动对农业土壤重金属污染的潜在风险,对石煤矿区及其周边地区的土壤样品进行了采集和分析。结果表明:①石煤矿区周边地区重金属污染风险较高,根据Nemerow综合污染指数,61.6%的采样点为中度至重度污染,其中21.9%的采样点为重度污染。研究区土壤镉污染尤为严重,超过风险筛查值和控制值的采样点分别为71.5%和18.5%。一些土壤样本也显示出与Cu和Zn相关的潜在风险,而个别样本显示砷、铅、汞和镍的含量过高。②土壤Cd、Zn、Ni、Cu分别与As、As- hg - pb、Cr-As-Ni-Hg对呈极显著正相关。Cd-Cr或Cd-Pb对之间没有发现显著的相关性,然而,涉及不同重金属的其他组合表现出显著的正相关,表明它们的污染来源相似。③利用石煤开采活动、大气沉降事件和风化过程等两种受体模型,确定了研究区土壤重金属污染的3种不同来源。根据APCS-MLR模型分析结果,石煤开采活动主要影响土壤Cd-As-Cu-Zn-Ni浓度,大气沉降事件主要影响土壤Pb-Hg浓度。Cr主要受自然源的影响,每种源对Cr的贡献分别为43.2%、31.5%和25.3%。PMF模型的结果与这些发现基本一致,表明土壤Cd和Hg来源于石煤开采活动和大气沉积的综合影响。每个来源的贡献率分别为45.0%、34.5%和20.5%。这项研究强调了在石煤矿区附近的农田土壤中重金属污染所构成的重大威胁,并强调了采用多受体模型如何能够更准确地确定每个特定地点重金属污染物的主要来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Source Apportionment of Heavy Metal Pollution in Farmland Soil of a Stone Coal Mining Area and Its Surrounding Area Based on APCS-MLR and PMF Models].

To investigate the potential risk of heavy metal contamination in agricultural soil resulting from stone coal mining activities, soil samples were collected and analyzed from a stone coal mining site and its surrounding areas. The findings revealed that: ① The risk of heavy metal pollution in the vicinity of the stone coal mining area was notably high, with 61.6% of sampling sites exhibiting moderate to severe pollution as determined by the Nemerow composite pollution index, including 21.9% showing significant levels of contamination. Soil contamination with Cd within the study area was particularly severe, with 71.5% and 18.5% of sampling sites exceeding risk screening and control values, respectively. Some soil samples also indicated potential risks associated with Cu and Zn, while individual samples showed excessive levels of As, Pb, Hg, and Ni. ② There were highly significant positive correlations observed between soil Cd, Zn, Ni, Cu, and As; As-Hg-Pb; as well as Cr-As-Ni-Hg pairs, respectively. No significant correlations were found between the Cd-Cr or Cd-Pb pairs; however, other combinations involving different heavy metals exhibited notable positive associations, suggesting similar sources for their pollution origins. ③ Three distinct sources contributing to soil heavy metal pollution within the study area were identified utilizing two receptor models-namely stone coal mining activities, atmospheric deposition events, and natural sources, such as weathering processes According to APCS-MLR model analysis results, soil concentrations of Cd-As-Cu-Zn-Ni were primarily affected by stone coal mining activities, while Pb-Hg were mainly influenced by atmospheric deposition events, and Cr was predominantly impacted by natural sources alone, with each source contributing approximately 43.2%, 31.5%, and 25.3%. PMF model outcomes generally aligned closely with these findings, suggesting soil Cd and Hg originated from combined effects related to both stone coal-mining activity and atmospheric depositions. Each source contributed rates around 45.0%, 34.5%, and 20.5%. This research underscores a substantial threat posed by heavy metal contamination in farmland soils adjacent to stone coal mines and highlights how employing multiple receptor models can provide more accurate determination regarding primary sources responsible for heavy metal pollutants present within each specific location.

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环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
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0.00%
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15329
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