Suppr超能文献

中国德兴铅锌矿区农业土壤中痕量金属污染及生态风险评估。

Trace metal pollution and ecological risk assessment in agricultural soil in Dexing Pb/Zn mining area, China.

机构信息

School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, 523808, Guangdong, PR China.

State Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510000, PR China.

出版信息

Environ Geochem Health. 2019 Apr;41(2):967-980. doi: 10.1007/s10653-018-0193-x. Epub 2018 Sep 27.

Abstract

Surface agricultural soil samples obtained from Dexing Pb/Zn mining area in Jiangxi province were analyzed for trace metals to assess their pollution status and potential ecological risk. The spatial distributions and the major trace metals pollution sources were described and identified with the combination of chemical measures and geographic information systems technology. The level of pollution in seven metals is decreasing in the following order: zinc (Zn 128.9 mg/kg) > chromium (Cr 64.1 mg/kg) > lead (Pb 58.4 mg/kg) > arsenic (As 45.3 mg/kg) > copper (Cu 41.9 mg/kg) > nickel (Ni 31.3 mg/kg) > cadmium (Cd 1.5 mg/kg). Trace metal spatial distribution maps established by geographic information system techniques displayed two high-pollution zones around mining sites in the study area. Multivariate statistical analyses were also applied, and the results demonstrated that Cd, As, Pb, Cu and Zn in the soils originated from mining activities, whereas Cr and Ni primarily originated from natural sources. The values of pollution index ranged from 4.79 to 71.59, and the values of modified pollution index ranged from 1.98 to 24.69. Moreover, the potential ecological risk values ranged from 264.0 to 3263.5, which indicated considerable ecological risk to very high ecological risk. The potential ecological risk values and other soil contamination indices showed similar patterns that the high-risk areas were around Dexing Pb/Zn mining site. The surface agricultural soil in study area is heavily to extremely polluted , with Cd that made the most dominant contribution.

摘要

从江西德兴铅锌矿区采集表层农业土壤样品,分析痕量金属,以评估其污染状况和潜在生态风险。采用化学计量和地理信息系统技术相结合的方法,描述和识别痕量金属的空间分布和主要污染源。七种金属的污染水平按以下顺序降低:锌(Zn 128.9mg/kg)>铬(Cr 64.1mg/kg)>铅(Pb 58.4mg/kg)>砷(As 45.3mg/kg)>铜(Cu 41.9mg/kg)>镍(Ni 31.3mg/kg)>镉(Cd 1.5mg/kg)。地理信息系统技术建立的痕量金属空间分布图显示研究区采矿区周围有两个高污染区。还应用了多元统计分析,结果表明,土壤中的 Cd、As、Pb、Cu 和 Zn 来源于采矿活动,而 Cr 和 Ni 主要来源于自然源。污染指数值范围为 4.79 至 71.59,修正污染指数值范围为 1.98 至 24.69。此外,潜在生态风险值范围为 264.0 至 3263.5,表明存在相当大的生态风险到极高的生态风险。潜在生态风险值和其他土壤污染指数表现出相似的模式,即高风险区域位于德兴铅锌矿周围。研究区表层农业土壤污染严重,属极强污染,其中 Cd 污染最为突出。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验