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Environmental Determinants of Surface Water Quality Based on Environmetric Methods

机译:基于环境方法的地表水环境决定因素

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A multivariate statistical technique, exploratory factor analysis-FA, has been used to assess the natural and anthropogenic impacts on surface water quality in two river basins in Western part of Turkey (Büyük Menderes and Kü?ük Menderes River Basins). The method attempted to explain the correlations between the observations in terms of the underlying factors, which were not directly observable and to reduce a great number of the water quality variables to a smaller number of attributes, grouped in common factors. Furthermore, by using the Confirmatory Factor Analysis-CFA method, the reliability of separated factors and the dimensionality have been determined. Then the path diagram was designed to investigate the structural model. Results revealed that ionic composition and water oxygenation of waters were factors controlling overall water quality in the region. Since components of first factors were observed in higher levels in Büyük Menderes Basin, it can be concluded that this region was affected from anthropogenic activities severely, compared to the Kücük Menderes Basin. Overall results revealed that FA confirmed by CFA can be used to identify probable pollution sources of surface waters.
机译:探索性因素分析-FA是一种多元统计技术,已用于评估土耳其西部两个流域(比尤克·曼德雷斯和库伊克·曼德斯河流域)的自然和人为因素对地表水水质的影响。该方法试图根据不可直接观察的潜在因素来解释观测值之间的相关性,并将大量水质变量减少为较少数量的属性,这些属性按共同因素分组。此外,通过使用验证性因子分析-CFA方法,确定了分离因子的可靠性和维数。然后设计路径图以研究结构模型。结果表明,水的离子组成和水的氧合是控制该地区总体水质的因素。由于在比尤克·曼德勒斯盆地较高的水平上观察到了第一因素的成分,因此可以得出结论,与库库克·曼德勒斯盆地相比,该地区受到人为活动的严重影响。总体结果显示,经CFA确认的FA可以用于识别地表水的可能污染源。

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