Boyacioglu Hülya, Boyacioglu Hayal
Faculty of Engineering, Department of Environmental Engineering, Dokuz Eylul University, Tinaztepe Campus, Buca 35160, Izmir, Turkey.
Bull Environ Contam Toxicol. 2008 May;80(5):469-74. doi: 10.1007/s00128-008-9439-0. Epub 2008 May 18.
This study comprises application of non-parametric trend analysis (Mann-Kendall test and Sen's Slope estimator techniques) and multidimensional scaling method to water quality data sets. Water samples analyzed (for chloride, nitrate-nitrogen, sodium, sulfate and total dissolved solid parameters) semi-monthly at seven river monitoring stations in Tahtali Basin, Turkey for 6 years were evaluated. The results revealed that agricultural discharges caused spatial differences in terms of water quality in the basin. Moreover, variable concentrations generally decreased or did not change over time. This study showed that, trend detection and data grouping methods help decision makers to judge effectiveness of management programs.
本研究包括将非参数趋势分析（曼-肯德尔检验和森斜率估计技术）和多维标度法应用于水质数据集。对土耳其塔赫塔利盆地7个河流监测站6年间每半月分析一次的水样（针对氯化物、硝酸盐氮、钠、硫酸盐和总溶解固体参数）进行了评估。结果表明，农业排放导致了该流域水质的空间差异。此外，各变量浓度一般随时间下降或没有变化。本研究表明，趋势检测和数据分组方法有助于决策者判断管理方案的有效性。
