顿巴斯东部地表水化学成分质量评价

A. Gavrishin, А.И. Гавришин
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引用次数: 0

摘要

采用成分浓度分布统计估算技术、环境污染评价方法和AGAT-2多维分类观测数字计算机技术,研究了顿巴斯东部矿区和地表水化学成分的形成规律。文章表明,东顿巴斯的矿井水是污染环境的强大来源,对领土造成了严重的生态破坏。煤矿水中含有大量的溶解物质,高达41.3万吨/年,其中宏观成分和各种金属构成了重要的组成部分。矿井水中大部分成分的平均浓度超过最大允许浓度(MACs)数百倍,超过最大允许浓度数千倍。结合小河流和小溪的水质检测结果,对该地区的地表水水质进行了分析。利用分类技术,通过宏观组分鉴定了地表水的5种遗传变异。第一个选项描述了污染影响之外地表水形成的初始阶段。其他选择反映了该地区日益严重的水污染。遗传水变异分布在整个区域。地表水污染按20个分量计算,污染累积指标等于108,对应紧急危机类别。约65%的成分超过MAC。使用数字计算机技术AGAT-2区分了15种金属含量均匀的地表水等级。污染累积指数从27到65不等,对应于紧张和紧急危机情况。因此,矿井水严重污染了东顿巴斯的地表水。为改善该地区地表水水质,需要采取相应的整治措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of chemical composition quality of surface water in the eastern Donbass
The regularities in forming chemical composition of mine and surface waters in the Eastern Donbass were studied using the techniques of statistical estimation of component concentration distributions, the methods of assessing environment pollution, and the digital computer technology on multidimensional classification observations AGAT-2. The article shows that the mine water in the Eastern Donbass is a powerful source of polluting environment, causing serious ecological damage to the territory. Coal mine water contain a lot of dissolved substances up to 413 thousand t/year, among which macro components and various metals forming a significant part. The mean concentrations of most components in mine water hundreds times exceed the maximum allowable concentrations (MACs), and they exceed the maximum concentrations in thousands times. The surface water quality was analyzed in the region proceeding from the results of testing small rivers and streams. Using classification technologies, five genetic variants of surface waters were identified by the macrocomponents. The first option characterizes the initial phase of surface water formation outside the pollution impact. Other options reflect the growing degree of water pollution in the region. The distribution of genetic water variants was shown throughout the region. The calculation of surface water pollution by 20 components revealed the cumulative indicator of pollution to be equal to 108 corresponding to the emergency crisis category. About 65% components exceed MAC. Surface water classes uniform in the content of 15 metals were distinguished using the digital computer technology AGAT-2. A cumulative indicator of pollution varies from 27 to 65, which corresponds to a tense and emergency crisis situations. Therefore, mine waters pollute significantly the surface waters in the Eastern Donbass. Conclusion is made about the need for rehabilitation measures in order to improve the quality of surface waters in the region.
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