Wu Li, Zhang Yan, Wang Ziying, Geng Ming, Chen Yajun, Zhang Fangyan
School of Biological and Food Engineering, Hefei Normal University, Hefei 230601, China.
Heliyon. 2023 Jun 1;9(6):e16697. doi: 10.1016/j.heliyon.2023.e16697. eCollection 2023 Jun.
Water quality index (WQI) plays a crucial role in guiding water resource management. However, WQI calculation methods are not uniform, especially the selection of water parameters and the weighting given to each water parameter (P). To optimize WQI calculation, 132 water samples from seven rivers and from Chaohu Lake (33 sampling sites in Chaohu Lake Basin) in four seasons were collected, and the water parameters and microbiota composition were analyzed using high-throughput sequencing of 16 S rDNA. The correlation coefficient R between water parameters and microbiota composition using redundancy analysis with the Monte Carlo method were calculated, and the water parameters that significantly correlated with the microbiota composition were selected to calculate WQI. The results showed that TP, COD, DO, and Chl a correlated significantly with water microbiota composition. WQI calculated by substituting R for P was more consistent with the similarity between the microbiota compositions. WQI calculated using TP, COD, and DO was consistent with WQI. The results of WQI and WQI were more consistent than those of WQI and WQI. These results imply that using R instead of P could help obtain a more stable WQI that could better reflect the biological characteristics of the Chaohu Lake Basin.
水质指数（WQI）在指导水资源管理方面发挥着至关重要的作用。然而，WQI的计算方法并不统一，尤其是水参数的选择以及赋予每个水参数（P）的权重。为了优化WQI计算，采集了来自七条河流以及巢湖（巢湖流域33个采样点）四个季节的132份水样，并使用16S rDNA高通量测序分析了水参数和微生物群落组成。采用蒙特卡罗方法通过冗余分析计算水参数与微生物群落组成之间的相关系数R，并选择与微生物群落组成显著相关的水参数来计算WQI。结果表明，总磷（TP）、化学需氧量（COD）、溶解氧（DO）和叶绿素a（Chl a）与水微生物群落组成显著相关。用R代替P计算的WQI与微生物群落组成之间的相似性更为一致。使用TP、COD和DO计算的WQI与WQI一致。WQI和WQI的结果比WQI和WQI的结果更一致。这些结果表明，用R代替P有助于获得更稳定的WQI，能更好地反映巢湖流域的生物学特征。
