LOCATION AND CHARACTERISATION OF POLLUTION SITES BY PRINCIPAL COMPONENT ANALYSIS OF TRACE CONTAMINANTS IN A SLIGHTLY POLLUTED SEASONAL RIVER: A CASE STUDY OF THE ARENALES RIVER (SALTA, ARGENTINA)
LOCATION AND CHARACTERISATION OF POLLUTION SITES BY PRINCIPAL COMPONENT ANALYSIS OF TRACE CONTAMINANTS IN A SLIGHTLY POLLUTED SEASONAL RIVER: A CASE STUDY OF THE ARENALES RIVER (SALTA, ARGENTINA)
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通过微量污染季节性河流中痕量污染物的主成分分析确定污染地点的位置和特征：阿雷纳莱斯河（阿根廷萨尔塔）案例研究
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发表时间：
2010
期刊：
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通讯作者：
H. Musso
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作者：
I. Lomniczi;Analía Boemo;H. Musso
采用主成分分析法（PCA）对一条轻度污染、季节性强、平均流量低的河流中痕量污染物的共同来源进行推断，以确定污染类型。根据电导率将数据分类对于得出结论至关重要。旱季的数据允许查明污染的网站通过双标图从代表性的组件上的分数。对应于雨季的浓度没有产生有用的结果，可能是由于6个变量中有2个变量的数据低于检测限的百分比很高。2003年至2005年，阿根廷西北部的阿雷纳莱斯河在横跨萨尔塔市的25公里河段的沿着7个地点进行了19次采样活动，包括两个水文周期。该河流的污染并不严重，总体平均值（微克/升）为：As 1.2; B 490; Cu 4; Fe 92; Pb 13; Zn 83。简单相关分析表明，这些元素之间没有显着的相关性。B和As浓度在第一主成分和双标图上的高正载荷表明，它们的主要共同点源是仍存在于市区的硼矿床。双标图的解释表明，铜，铁和锌污染也起源于点源，污水处理厂的贡献可以忽略不计。关键词：微量元素污染，水质，主成分分析，阿雷纳莱斯河，萨尔塔，阿根廷
Principal component analysis (PCA) was used to deduce the common origin of trace contaminants in a slightly contaminated, strongly seasonal river of low-average discharge, aiming to ascertain the type of the pollution. Splitting of data into categories according to specific conductance was essential to reach conclusions. Dry-season data allowed the pinpointing of polluting sites by means of the biplots resulting from the representation of the scores on the components. Concentrations corresponding to the wet seasons yielded no useful results probably due to the high percentage of data below detection limits for 2 of the 6 variables. The Arenales River in North-West Argentina was monitored by means of 19 sampling campaigns between 2003 and 2005 comprising two hydrological cycles, at seven locations along a 25 km section of the river course across the city of Salta. Pollution of the river was not severe, overall mean values in μg/l being: As 1.2; B 490; Cu 4; Fe 92; Pb 13; Zn 83. Simple correlation analysis revealed no significant correlation between these elements. The high positive loadings of variables B and As concentrations on the first principal component and the biplots indicate that their main common point sources are boron mineral deposits still existing in the urban area. Interpretation of the biplots shows that Cu, Fe and Zn contamination also originated at point sources, the contribution of the sewage treatment plant being negligible. Keywords: trace element contamination, water quality, principal component analysis, Arenales River, Salta, Argentina