SürgüStream,位于土耳其的幼发拉底河流域,用于饮用水源,农业灌溉和虹鳟鱼生产。因此,河流的水质非常重要。在这项研究中,多元统计技术(MST)和水质指数(WQI)用于评估受多种压力因素影响的河流水质,例如未经处理的生活污水,养鱼场的废水,农业径流和河岸侵蚀。为此,在一年中,每月监测沿河五个地点的16个水质参数。大多数参数显示出明显的空间变化,表明人为活动的影响。由于WT(水温)和水流量的高季节性,除TN(总氮)外的所有参数均显示出显着的季节性差异。WQI的空间变化显着(p<0.05),平均WQI值在87.6至95.3之间,表明河流水质“良好”至“优良”。聚类分析将五个站点分为三组,也就是说,干净的区域,低污染地区和非常干净的地区。逐步时间判别分析(DA)确定pH,WT,Cl-,SO42-,COD(化学需氧量),TSS(总悬浮固体)和Ca2+是负责季节之间变化的参数,逐步空间DA确定DO(溶解氧),EC(电导率),NH4-N,TN(总氮)和TSS是负责区域之间变化的参数。主成分分析/因子分析显示,导致水质变化的参数主要与悬浮固体(天然和人为)有关。可溶性盐(天然)和营养物质和有机物(人为)。
The Sürgü Stream, located in the Euphrates River basin of Turkey, is used for drinking water source, agricultural irrigation and rainbow trout production. Therefore, water quality of the stream is of great importance. In this
study, multivariate statistical techniques (MSTs) and water quality index (WQI) were applied to assess water quality of the stream affected by multiple stressors such as untreated domestic sewage, effluents from fish farms, agricultural runoff and streambank erosion. For this, 16 water quality parameters at five sites along the stream were monitored monthly during one year. Most of parameters showed significant spatial variations, indicating the influence of anthropogenic activities. All parameters except TN (total nitrogen) showed significant seasonal differences due to high seasonality in WT (water temperature) and water flow. The spatial variations in the WQI were significant (p < 0.05) and the mean WQI values ranged from 87.6 to 95.3, indicating \"good\" to \"excellent\" water quality in the stream. Cluster analysis classified five sites into three groups, that is, clean region, low polluted region and very clean region. Stepwise temporal discriminant analysis (DA) identified that pH, WT, Cl-, SO42-, COD (chemical oxygen demand), TSS (total suspended solids) and Ca2+ are the parameters responsible for variations between seasons, and stepwise spatial DA identified that DO (dissolved oxygen), EC (electrical conductivity), NH4-N, TN (total nitrogen) and TSS are the parameters responsible for variations between the regions. Principal component analysis/factor analysis revealed that the parameters responsible for water quality variations were mainly associated with suspended solids (both natural and anthropogenic), soluble salts (natural) and nutrients and organic matter (anthropogenic).