Suppr超能文献

对阿尔茹什特雷拉矿区(葡萄牙南部)地表水的生物地球化学特征进行研究。

Biogeochemical characterization of surface waters in the Aljustrel mining area (South Portugal).

机构信息

GeoBioTec Research Unit, Department of Geosciences, Campus de Santiago, 3810-193, Aveiro, Portugal.

CESAM Associated Lab - Department of Biology, Campus de Santiago, 3810-193, Aveiro, Portugal.

出版信息

Environ Geochem Health. 2019 Oct;41(5):1909-1921. doi: 10.1007/s10653-019-00249-y. Epub 2019 Jan 30.

Abstract

Aljustrel mining area (South Portugal) is a part of the Iberian Pyrite Belt and encloses six sulfide mineral masses. This mine is classified of high environmental risk due to the large tailings' volume and acid mine drainage (AMD)-affected waters generated by sulfides' oxidation. The use of biological indicators (e.g., diatoms) revealed to be an important tool to address the degree of AMD contamination in waters. Multivariate analysis has been used as a relevant approach for the characterization of AMD processes. Cluster analysis was used to integrate the significant amount and diversity of variables (physicochemical and biological), discriminating the different types of waters, characterized by the high complexity occurring in this region. The distinction of two main marked phenomena was achieved: (1) the circumneutral-Na-Cl water type (sites DA, PF, BX, BF, RO, CB), expressing the geological contributions of the Cenozoic sediments of Sado river basin, with high diatom diversity (predominating brackish diatoms as Entomoneis alata); and (2) the acid-metal-sulfated water type (sites BM, JU, RJ, AA, MR, BE, PC, AF), reflecting both the AMD contamination and the dissolution of minerals (e.g., silicates) from the hosting rocks, potentiated by the extremely low pH. This last group of sites showed lower diatom diversity but with typical diatoms from acid- and metal-contaminated waters (e.g., Pinnularia aljustrelica). In addition to these two water types, this hierarchical classification method also allowed to distinguish individual cases in subclusters, for example, treated dams (DC, DD), with alkaline substances (lime/limestone), that changed the physicochemical dynamics of the contaminated waters.

摘要

阿尔茹斯特雷拉矿区(葡萄牙南部)是伊比利亚黄铁矿带的一部分,包含六个硫化物矿体。由于尾矿体积大以及硫化物氧化产生的酸性矿山排水(AMD)受影响的水,该矿被归类为高环境风险。生物指标(如硅藻)的使用已被证明是评估水中 AMD 污染程度的重要工具。多元分析已被用作表征 AMD 过程的重要方法。聚类分析用于整合大量和多样的变量(物理化学和生物),区分不同类型的水,这些水的特点是该地区发生的高复杂性。实现了两个主要明显现象的区分:(1)近中性-Na-Cl 水类型(站点 DA、PF、BX、BF、RO、CB),表达了萨多河流域新生代沉积物的地质贡献,具有高硅藻多样性(优势为咸水硅藻如 Entomoneis alata);(2)酸性金属硫酸盐水类型(站点 BM、JU、RJ、AA、MR、BE、PC、AF),反映了 AMD 污染以及来自围岩的矿物(如硅酸盐)的溶解,这是由极低的 pH 值促成的。后一组站点显示出较低的硅藻多样性,但具有典型的来自酸性和金属污染水的硅藻(如 Pinnularia aljustrelica)。除了这两种水类型外,这种层次分类方法还允许在子群中区分个别情况,例如,经处理的水坝(DC、DD),其中含有碱性物质(石灰/石灰石),改变了受污染水的物理化学动态。

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