Biomonitoring is a significant method for evaluating aquatic life forms and their environments. The longer the process continues, the results of it become more precise. Benthic macroinvertebrates’ exposure to changes in environmental conditions makes them an important part of any biomonitoring program. This paper reviews a long-term water quality of the Buyuk Menderes River Basin which is the biggest river basin spread across the western Anatolia (Turkey). The study area was divided into three regions (Usak, Aydin, Denizli), primarily considering the provincial borders in the basin. A total of 40 sampling sites from the main river and its tributaries were selected. The prominent agricultural and industrial pollutants (textile, tannery and sugar factories) from each region have been taken into account. The most common and current biotic indices (BMWP Spanish version, ASPT, RBPIII, MMIF, EPT%, Diversity and Evenness) based on the pollution tolerance of benthic macroinvertebrates have been used to track water quality changes. The relationships between environmental variables (sO₂, dO₂, water temp., salinity, flow, TDS, Cond, pH, NO₃-N, NO₂-N, PO₄-P, Fe⁺³, NH₄-N) and bioindicators have been revealed by using multivariate analyses (NMDS, CCA). The region-based variations in water quality were compared with the Kruskal-Wallis test. The one-way variance analysis test (ANOVA) was used for the contrast between the biotic indices. Significant differences (p < 0.05) were found among the regions in terms of Shannon-Wiener, Evenness, BMWP and MMIF indices. Regions were separated according to pollution sources, and the impact of provinces on water quality may vary according to their industry types. It has been observed that pollutants can spread across a basin for very long distances and reinstatement of the environmental conditions may require long periods.

生物监测是评估水生生物形式及其环境的重要方法。该过程持续的时间越长，其结果就越精确。底栖大型无脊椎动物暴露于环境条件的变化，使它们成为任何生物监测计划的重要组成部分。本文回顾了Buyuk Menderes流域的长期水质，这是整个安纳托利亚（土耳其）西部最大的流域。研究区域分为三个区域（Usak，Aydin，Denizli），主要考虑该盆地的省界。从主要河流及其支流总共选择了40个采样点。已考虑到每个地区的主要农业和工业污染物（纺织，制革厂和制糖厂）。基于底栖大型无脊椎动物污染耐受性的最常见和当前的生物指数（西班牙语BMWP，ASPT，RBPIII，MMIF，EPT％，多样性和均匀度）已用于跟踪水质变化。环境变量之间的关系_通过使用d2，dO ₂，水温，盐度，流量，TDS，Cond，pH，NO ₃ -N，NO ₂ -N，PO ₄ -P，Fe ⁺³，NH ₄ -N）和生物指示剂已经揭示多变量分析（NMDS，CCA）。将基于区域的水质变化与Kruskal-Wallis检验进行了比较。单向方差分析测试（ANOVA）用于生物指数之间的对比。显着差异（p 在Shannon-Wiener，Evenness，BMWP和MMIF指数方面，发现区域之间的差异<0.05。根据污染源将地区分开，各省对水质的影响可能因其行业类型而异。已经观察到，污染物可以在很长的距离上分布在整个盆地中，恢复环境条件可能需要很长时间。