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Bacterial eutrophic index for potential water quality evaluation of a freshwater ecosystem

机译:淡水生态系统潜在水质评价的细菌富营养学指标

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摘要

Water quality evaluation of freshwater ecosystems has been widely reported based on the physical and chemical parameters of water (e.g., Carlson's trophic state index (TSI)), while the aquatic microorganisms are actually a more intuitive way to reflect the eutrophic levels. This article was based on 27 global freshwater ecosystems including freshwater rivers, lakes, and reservoirs. Bacterial eutrophic index (BEI) was determined as the function of temperature and abundances ofCyanobacteriaandActinobacteria. BEI and TSI values of the freshwater ecosystems were determined and the correlation analysis of TSI and BEI indicated their positive correlation (rho= 0.452,p< 0.01). Furthermore, an eutrophication classification based on BEI was proposed. It turned out that BEI was a possible feasible method for water quality evaluation. The aquatic microorganism-based method such as BEI should be considered for water quality evaluation of a freshwater ecosystem. Complicated models combined with physicochemical (e.g., TSI) and microbial (e.g., BEI) method are recommended for water quality evaluation of a freshwater ecosystem in future.
机译:基于水的物理和化学参数(例如,Carlson的营养状态指数(TSI))的物理和化学参数,淡水生态系统的水质评估已被广泛报道(例如,Carlson的营养州指数(TSI)),而水生微生物实际上是一种更为直观的​​方法来反映富营养化水平。本文基于27个全球淡水生态系统,包括淡水河流,湖泊和水库。细菌富营养性指数(BEI)被确定为温度和丰度的胞菌ancoctonicococacteria的功能。确定了淡水生态系统的贝尼和TSI值,TSI和BEI的相关分析表明它们的正相关(RHO = 0.452,P <0.01)。此外,提出了基于Bei的富营养化分类。事实证明,BEI是水质评估的可能可行的方法。基于水生微生物的方法,如贝尼应考虑淡水生态系统的水质评估。建议将复杂模型与物理化学(例如,TSI)和微生物(例如,BEI)方法相结合,以便将来进行淡水生态系统的水质评估。

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