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Water pollution sources assessment by multivariate statistical methods in the Tahtali Basin, Turkey

机译:多元统计方法在土耳其塔赫塔利盆地的水污染源评估

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摘要

In this study, multivariate statistical methods including factor, principal component and cluster analysis were applied to surface water quality data sets obtained from the Tahtali River Basin, Turkey. Factor and principal components analysis results revealed that surface water quality was mainly controlled by agricultural uses and domestic discharges. Cluster analysis generated two clusters. Based on the locations of the sites consisted by each cluster and variable concentrations at these stations, it was concluded that agricultural discharges strongly affected north and northeast part of the region. These methods are believed to assist water managers to understand complex nature of water quality issues and determine priorities to improve water quality.
机译:在这项研究中,将多元统计方法(包括因子,主成分和聚类分析)应用于从土耳其塔赫塔利河流域获得的地表水质量数据集。因子和主成分分析结果表明,地表水水质主要受农业用途和生活污水控制。聚类分析产生两个聚类。根据每个地点组成的地点的位置和这些地点的浓度变化,得出的结论是,农业排放严重影响了该地区的北部和东北部。据信,这些方法有助于水管理人员了解水质问题的复杂性质,并确定改善水质的重点。

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