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选水物理化学参数的方法,以计算水质指数,基于这些参数与水微生物群的相关性

Li Wu¹, Yan Zhang¹, Ziying Wang¹

¹School of Biological and Food Engineering, Hefei Normal University, Hefei 230601, China.

|June 19, 2023

概括

优化水质指数 (WQI) 计算对于有效的水资源管理至关重要. 这项研究发现,使用相关系数 (R2) 而不是传统加权因子 (Pi) 更好地反映了水质评估中的生物特征.

科学领域:

环境科学环境科学
微生物学微生物学
水资源管理水资源管理

背景情况:

水质指数 (WQI) 对水资源管理至关重要,但计算方法各不相同,特别是在参数选择和权重方面.
不统一的WQI计算可能导致评估水体健康状况的不一致.

研究的目的:

通过探索水参数和微生物群组成之间的关系来优化WQI计算方法.
为湖盆地开发一个更稳定,更具生物代表性的WQI.

主要方法:

在四个季节从河流和Chaohu湖收集了132个水样.
使用16S rDNA高通量测序分析了水参数和微生物群组成.
使用冗余分析和蒙特卡洛方法计算水参数和微生物群之间的相关系数 (R2),以告知WQI计算 (WQI_b和WQI_minb).

主要成果:

TP,COD,DO和Chla与水微生物群组成有显著的相关性.
使用R2计算的WQI (WQI_b) 与传统的WQI相比,与微生物群相似性的一致性更高.
使用TP,COD和DO的精细指数 (WQI_minb) 也与WQI_b.b.保持一致.

结论:

替换传统加权因子 (Pi) 的相关系数 (R2) 提高了WQI的稳定性和生物相关性.
拟议的WQI计算方法更准确地反映了水生生态系统的生物特征.
这种方法通过提供更强大的WQI来增强水资源管理战略.

关键词:

水生生态系统水生生态系统细菌和浮游生物的社区社区.查胡湖盆地查胡湖盆地物理化学参数物理化学参数水质指数是指水的质量指数.

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