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首页> 外文期刊>Environmental Science and Pollution Research >Quantitative identification of anthropogenic trace metal sources in surface river sediments from a hilly agricultural watershed, East China
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Quantitative identification of anthropogenic trace metal sources in surface river sediments from a hilly agricultural watershed, East China

机译:丘陵农业分水岭地表河流沉积物中人为痕量金属源的定量鉴定

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摘要

Quantitative identification of anthropogenic trace metal sources in surface river sediments is vital for watershed pollution control and environmental safety. In this study, we developed a reliable approach by integrating enrichment factor (EF), multiple linear regression of absolute principal component scores (MLR-APCS), and Pb stable isotopes, and applied it to a typical hilly agricultural watershed in Eastern China. Results showed that trace metals have accumulated in the river sediments during long-term agricultural development, with special concern of Cu, Ni, Pb, and Cr that may pose adverse biological effects. Among them, Pb was the most anthropogenically impacted trace metal due to its high EF value, but its excessive concentration still did not exceed background concentration. Based on the excessive trace metal concentrations, atmospheric deposition, livestock manure, and chemical fertilizer were identified as the three major anthropogenic pollution sources, and their respective contributions were further estimated by using MLR-APCS model. Together with natural contributions, atmospheric deposition contributed on average 35.3%, 43.1%, and 30.4% of total Ni, Pb, and Cr concentrations in the sediments, respectively. Similarly, livestock manure contributed 41.0% of total Cu and 40.6% of total Zn concentrations, while chemical fertilizer was responsible for 44.3% of total Cd concentration. For Pb, the source contribution of atmospheric deposition to sediment pollution was also quantitatively assessed by isotopic analysis, which was generally close to the value of 43.1% and therefore verified the EF and MLR-APCS results.
机译:在表面河流沉积物人为痕量金属源定量识别为流域污染控制和环境安全至关重要。在这项研究中,我们开发了一种可靠的方法通过整合富集因子(EF),绝对主成分得分(MLR-APCS),和铅稳定同位素多元线性回归,并将其应用到中国东部典型的丘陵农业分水岭。结果表明,痕量金属有长期的农业发展,与铜,镍,铅,和Cr的特别关注,可能造成不良的生物效应过程中的河流沉积物积累。其中,铅,是由于它的高价值EF最人类活动影响的微量金属,但其浓度过高仍然没有超过背景浓度。基于所述过度痕量金属浓度,大气沉积,家畜粪便,和化肥被确定为三个主要的人为污染源,和它们各自的贡献通过使用MLR-APCS模型进一步估计。连同自然贡献,大气沉积平均35.3%,43.1%,和总镍,铅,和Cr的浓度为30.4%,在沉积物分别贡献。类似地,牲畜粪便贡献总的Cu 41.0%和总锌的浓度的40.6%,而化肥负责总镉浓度的44.3%。铅,大气沉积的沉积物污染源贡献还由定量同位素分析,这是一般接近43.1%的值,并且因此验证EF和MLR-APCS结果进行评估。

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