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利用矿业 pH 训练集和组合 pH 训练集,对波兰西南部一个自然中和的矿坑湖进行基于硅藻的 pH 重建。

The diatom-inferred pH reconstructions for a naturally neutralized pit lake in south-west Poland using the Mining and the Combined pH training sets.

机构信息

Institute of Geological Sciences, Polish Academy of Sciences, Research Centre at Warsaw, St. Twarda 51/55, Warsaw, PL-00818, Poland.

出版信息

Sci Total Environ. 2017 Dec 15;605-606:75-87. doi: 10.1016/j.scitotenv.2017.06.171. Epub 2017 Jul 5.

DOI:10.1016/j.scitotenv.2017.06.171
PMID:28662429
Abstract

Many artificial lakes in various parts of the world were formed as a result of the exploitation of lignite and other mineral deposits. Usually, lakes created after the end of lignite mine activity have extremely acidic or very acidic water, with pH<3.0, caused by the oxidation of pyrite and marcasite and other sulfide compounds. After the closure of mines, the lakes undergo natural neutralization. However, this process is long-term and depends on many different factors, such as the amount of carbonates, the geological structure of bedrock, hydrology and hydrobiology, climate and the method of lignite exploitation. In some types of anthropogenic lakes (i.e., clay pits), water pH is almost neutral or alkaline due to the adsorption properties of clay minerals. Along the Polish-German border in the Łuk Mużakowa Geopark, over 100 post-mining lakes were formed as a result of lignite and clay exploitation. The Mining pH training set of modern diatom samples and water chemistry was created from 69 lakes to quantify the relationship between the diatom assemblages living in these water bodies and the lakes' chemical composition. Then, this database was applied to the reconstruction of diatom-inferred pH in the sediments of a post-mining lake TR-33. The results of reconstruction was compared to similar analysis based on the Combined pH training set containing more variety of diatom taxa from a higher number of lakes. Although the second dataset was larger and gave a smaller root mean square error, the Mining pH training set has a longer gradient of pH including lakes with extremely acidic water and gives more reliable results. The reconstruction of DI-pH in TR-33 which had very acidic water in the past and currently neutralized from acidification was more precise and reliable using the database sensu stricto, which consists of only the post-mining lakes.

摘要

世界上许多人工湖都是由于开采褐煤和其他矿床而形成的。通常,褐煤矿活动结束后形成的湖泊的水具有极强的酸性或非常酸性,pH 值<3.0,这是由黄铁矿和白铁矿等硫化物化合物的氧化引起的。在矿山关闭后,湖泊会自然中和。然而,这个过程是长期的,取决于许多不同的因素,如碳酸盐的数量、基岩的地质结构、水文和水生物学、气候以及褐煤开采的方法。在某些类型的人为湖泊(即粘土坑)中,由于粘土矿物的吸附特性,水的 pH 值几乎为中性或碱性。在Łuk Mużakowa 地质公园的波兰-德国边境沿线,由于褐煤和粘土的开采,形成了 100 多个矿后湖泊。从 69 个湖泊中采集了现代硅藻样本和水化学的采矿 pH 训练集,以量化生活在这些水体中的硅藻组合与湖泊化学成分之间的关系。然后,将该数据库应用于矿后湖泊 TR-33 沉积物中硅藻推断 pH 值的重建。重建的结果与基于包含更多种类的硅藻类群和更多湖泊的综合 pH 训练集的类似分析进行了比较。尽管第二个数据集更大,给出的均方根误差更小,但包括具有极强酸性水的湖泊并且具有更长 pH 值梯度的采矿 pH 训练集给出了更可靠的结果。过去水呈极强酸性且目前正在从酸化中中和的 TR-33 的 DI-pH 重建使用仅由矿后湖泊组成的数据库更加精确和可靠。

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