Ecological evaluation of heavy metal pollution of different soil-climatic regions of Armenia by biogeochemical coefficients

A. Sukiasyan, A. Kirakosyan
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引用次数: 2

Abstract

We assessed environmental risk factors, based on the biogeochemical coefficients of several heavy metals in the coastal areas of different rivers in Armenia. Environmental risk factors of some heavy metals in coastal areas of the Rivers Debet, Shnokh, and Araks (Armenia) were evaluated in various soil-climatic regions. A combined method for appraising biogeochemical risk factors in soil-plant systems of coastal areas of rivers was used. Values of several biogeochemical coefficients served as input Zea Maize L. being chosen as the model plant. The total indicator of contamination with heavy metals in the hazard group was calculated, according to the Russian GOST. We found the most polluted soil in Hushakert and the least contaminated in Tekhut. The use of European classification of heavy metals, by hazard class, to determine the maximum permissible additives was considered. Hazard classes, which allow categorizing heavy metals, primarily depend on the synergism of biota response to the degree of contamination. Using annual plants allows a comprehensive assessment of the migration characteristics of heavy metals in the examined soil-plant systems. As a result, one can expand the use of Zea Maize L. indicator plant, so that it becomes a natural filter of coastal areas for monitoring heavy metals migration.
基于生物地球化学系数的亚美尼亚不同土壤气候区重金属污染生态评价
我们根据亚美尼亚不同河流沿海地区几种重金属的生物地球化学系数评估了环境风险因素。对亚美尼亚德贝特河、什诺克河和阿拉克斯河沿岸不同土壤气候区域的重金属环境风险因素进行了评价。采用一种综合评价河流沿岸土壤-植物系统生物地球化学风险因子的方法。几种生物地球化学系数作为输入值,选择玉米L.作为模式植物。根据俄罗斯GOST,计算了危险组中重金属污染的总指标。我们发现胡沙克特的土壤污染最严重,而特胡特的土壤污染最少。考虑了使用欧洲按危害等级划分的重金属分类来确定最大允许的添加剂。对重金属进行分类的危害等级主要取决于生物群对污染程度的反应的协同作用。利用一年生植物可以全面评估重金属在被检查的土壤-植物系统中的迁移特征。因此,可以扩大玉米L.指示植物的使用,使其成为沿海地区监测重金属迁移的天然过滤器。
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