Suppr超能文献

阿兹纳尔科拉尔矿泄漏事件后,“恩特雷穆罗斯”地区土壤和大型植物中的砷含量。

Arsenic levels in the soils and macrophytes of the 'Entremuros' after the Aznalcóllar mine spill.

作者信息

Taggart M A, Carlisle M, Pain D J, Williams R, Green D, Osborn D, Meharg A A

机构信息

Department of Plant and Soil Science, University of Aberdeen, Cruickshank Building, Aberdeen AB24 3UU, UK.

出版信息

Environ Pollut. 2005 Jan;133(1):129-38. doi: 10.1016/j.envpol.2004.05.016.

Abstract

In April 1998, a holding lagoon containing pyrite ore processing waste rich in arsenic, failed and released 5-6 million m(3) of highly polluting sludge and acidic water. Over 2700 ha of the internationally important Doñana National and Natural Parks were contaminated. The area of Natural Park to sustain the greatest impact was known as the Entremuros. This paper presents 0-5 cm soil monitoring data from the Entremuros, from sampling campaigns 6 and 18 months after the disaster; as well as macrophyte root, rhizome and stem data from samples taken 18 months after the spill. Results show a clear, decreasing, north-south arsenic soil pollution trend, both 6 and 18 months after the spill, and suggest a small reduction in total soil arsenic levels occurred over time; although a significant increase in extractable arsenic is also noted. The two macrophytes (Typha dominguensis and Scirpus maritimus) studied herein are not accumulating arsenic in stem parts, however, accumulation of arsenic on iron plaque on the roots of these plants may be occurring. Further work is recommended in order to determine the ecotoxicological significance of this process in relation to the avian food-chains of Doñana, and elsewhere.

摘要

1998年4月,一个储存富含砷的黄铁矿选矿废料的滞留池发生故障,泄漏出500 - 600万立方米的高污染污泥和酸性水。超过2700公顷具有国际重要意义的多尼亚纳国家自然公园受到污染。受影响最大的自然公园区域被称为恩特雷穆罗斯。本文展示了恩特雷穆罗斯地区0 - 5厘米土壤的监测数据,这些数据来自灾难发生后6个月和18个月的采样活动;还展示了泄漏18个月后采集的大型植物根、根茎和茎的数据。结果表明,在泄漏后的6个月和18个月,土壤砷污染呈现出明显的自北向南递减趋势,并且随着时间推移,土壤总砷含量略有下降;不过,可提取砷含量也显著增加。本文研究的两种大型植物(香蒲和海三棱藨草)的茎部未积累砷,然而,这些植物根部的铁膜上可能正在发生砷的积累。建议进一步开展工作,以确定这一过程对多尼亚纳及其他地区鸟类食物链的生态毒理学意义。

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