National School of Engineering, (Ecole Nationale d'Ingénieurs Abderhamane Baba TOURE, ENI-ABT), Bamako, Mali.
Department of Geological Engineering, Karadeniz Technical University, 61080, Trabzon, Turkey.
Environ Monit Assess. 2022 Dec 12;195(1):188. doi: 10.1007/s10661-022-10797-z.
In this study, the spatial variation of water quality in Yeşilırmak River passing through Amasya was investigated using the Canadian Water Quality Index (CWQI). For this aim, the measured 15 parameters in 3-month periods between the years 2008 and 2015 were used at 11 sample points from the Yeşilırmak River and its tributaries. The calculated CWQI scores using parameters of pH, Dissolved Oxygen (DO), Chemical Oxygen Demand (COD), ammonia, ammonium, nitrite, nitrate, phosphate, iron, copper, zinc, potassium, sulfate, sulfite and chlorine range from 33 to 64. These scores indicate that the surface waters in the studied area are poor to marginal in quality. The effect of each parameter on the CWQI scores by excluding each parameter, one by one, considering the water quality of the Yeşilırmak River was investigated using the Hierarchical Cluster Analysis (HCA) method. It was determined that the presence and/or absence of the parameters, which caused an increase or decrease in CWQI scores, were ammonia, phosphate, COD, sulfide, iron, ammonium, nitrite, DO. On the other hand, the parameters having positive effects on CWQI are nitrate, chlorine and potassium. The HCA statistical analysis method is suitable for interpreting complex water quality datasets and understanding time/location dependent changes in water quality. HCA can be used effectively to group parameters in river water quality monitoring programs.
在这项研究中，使用加拿大水质指数（CWQI）研究了流经阿马西亚的耶希尔河的水质空间变化。为此，在 2008 年至 2015 年间的 3 个月期间，在耶希尔河及其支流的 11 个采样点测量了 15 个参数。使用 pH、溶解氧 (DO)、化学需氧量 (COD)、氨、铵、亚硝酸盐、硝酸盐、磷酸盐、铁、铜、锌、钾、硫酸盐、亚硫酸盐和氯等参数计算的 CWQI 得分为 33 至 64。这些分数表明，研究区域的地表水质量较差至边缘。使用层次聚类分析（HCA）方法，通过逐个排除每个参数来研究每个参数对 CWQI 得分的影响。结果表明，氨、磷酸盐、COD、硫化物、铁、铵、亚硝酸盐、DO 等参数的存在和/或缺失会导致 CWQI 得分增加或减少。另一方面，对 CWQI 有积极影响的参数是硝酸盐、氯和钾。HCA 统计分析方法适用于解释复杂的水质数据集和了解水质随时间/地点的变化。HCA 可有效地用于对河流水质监测计划中的参数进行分组。
