废水中污染物的测定和分类

Q4 Agricultural and Biological Sciences Nova Biotechnologica et Chimica Pub Date : 2021-11-22 DOI:10.36547/nbc.1281
Zuzana Kiralyova, Katja Šnuderl, F. Kraic, J. Mocák
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引用次数: 0

摘要

本文论述了近三年来工业生产者产生的废水。其主要目的是评估三家皮革厂排放的监测数据,定期分析和量化八个传统变量(COD、BOD、不溶物、pH以及氨、总氮、铬和硫化物的浓度)。考虑到环境和计量方面,化学计量和统计方法被批准为对各种水样进行表征和分类的非常有用的工具。为此,数据分析和相关性分析的多变量(多维)技术特别有用。在这项工作中,上述技术用于(1)揭示废水监测特征之间隐藏的相互关系,(2)比较单个废水生产者的结果,并在长时间内找到最重要的污染源,以及(3)得出一些关于观测结果的普遍有效结论。
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Determination and classification of pollutants in waste water
This paper deals with waste waters produced by industrial producers during recent three years. Its main purpose is to evaluate the data monitored from discharges of three leather plants where eight traditional variables (COD, BOD, insoluble matters, pH, and the concentrations of ammonia, total nitrogen, chromium and sulphides) were regularly analyzed and quantified. Chemometrical and statistical methods were approved as very useful tools for characterization and classification of various kinds of water samples considering the environmental and metrological aspects. For this purpose, multivariate (multidimensional) techniques of data analysis and correlation analysis were especially very useful. The mentioned techniques are used in this work to (1) reveal the concealed interrelations of the monitored characteristics of waste waters, (2) compare the results of individual waste water producers and find the most important polluting source during a long time period, and (3) derive some generally valid conclusions regarding the observed results.
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来源期刊
Nova Biotechnologica et Chimica
Nova Biotechnologica et Chimica Agricultural and Biological Sciences-Food Science
CiteScore
0.60
自引率
0.00%
发文量
47
审稿时长
24 weeks
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