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首页> 外文期刊>Environment protection engineering >TRACE ELEMENTS IN A VALLEY OF UPPER RIVER NAREW AND ITS SELECTED TRIBUTARIES, NE POLAND
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TRACE ELEMENTS IN A VALLEY OF UPPER RIVER NAREW AND ITS SELECTED TRIBUTARIES, NE POLAND

机译:波兰新河上游河谷及其选择的三角洲中的微量元素

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摘要

The catchment of the upper river Narew (NE Poland) was studied. Investigations were carried out in March, May, August, and October 2006. The study was aimed at evaluating total cadmium, lead, zinc, chromium, nickel, and cobalt content as well as their forms dissolved in bottom sediments of the upper river Narew and its selected tributaries. Also the attempts to recognize the influence of the catchment management on concentration of the elements studied in bottom sediments of the upper river Narew were undertaken by using the neural networks. Metal concentrations were determined by means of AAS technique. Human economic and household activities, along with a surface runoff, are responsible for the metals deposited in sediments of the rivers under analysis, which was confirmed by statistical computations. The sediments were described as not contaminated (I class) with nickel, zinc, copper, chromium, cobalt, and lead, whereas cadmium concentration slightly exceeded that typical of the I geochemical class in about 20% of the samples studied. Contents of other elements under investigation occurred at the level of geochemical background. The highest metal concentrations were recorded in the alluvia of the river Horodnianka that flows through the area situated near municipal waste dump in Hryniewicze. Studies using artificial neural networks gave the opportunity and efficiency to predict the heavy metals contents in bottom sediments of the river Narew and allowed us to assess its efficiency taking into account many parameters at the same time.
机译:研究了上游的瑙鲁河(波兰东北)的流域。在2006年3月,5月,8月和10月进行了调查。该研究旨在评估镉的总含量,铅,锌,铬,镍和钴的含量及其在纳鲁河上游和纳鲁河上游沉积物中的溶解形式。其选定的支流。还尝试使用神经网络进行流域管理对纳鲁河上游河流沉积物中所研究元素浓度的影响的尝试。通过AAS技术测定金属浓度。人类的经济和家庭活动以及地表径流是造成被分析河流沉积物中沉积的金属的原因,这一点已通过统计计算得到证实。沉积物被描述为没有被镍,锌,铜,铬,钴和铅污染(I类),而在大约20%的研究样本中,镉的浓度略高于I地球化学类的典型浓度。其他被调查元素的含量发生在地球化学背景水平。最高的金属浓度记录在流经Hryniewicze市政垃圾场附近区域的Horodnianka河的阿鲁维亚中。使用人工神经网络进行的研究提供了机会和效率来预测Narew河底部沉积物中的重金属含量,并使我们能够同时考虑许多参数来评估其效率。

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