In situ H2O2 treatment of blue-green algae contaminated reservoirs causes significant improvement in drinking water treatability.
In situ H2O2 treatment of blue-green algae contaminated reservoirs causes significant improvement in drinking water treatability.
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DOI：
10.1016/j.chemosphere.2023.138895
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发表时间：
2023-05
期刊：
影响因子：
8.8
通讯作者：
Maria Aparecida Melo Rocha;Allan Clemente;Allan Amorim Santos;Jessica da Silva Melo;Carlos J. Pestana;Linda A. Lawton;José Capelo-Neto
中科院分区：
文献类型：
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作者：
Maria Aparecida Melo Rocha;Allan Clemente;Allan Amorim Santos;Jessica da Silva Melo;Carlos J. Pestana;Linda A. Lawton;José Capelo-Neto
评价富营养化水体，特别是用于人类供水的富营养化水体的原位处理所带来的水质改善是一项具有挑战性的任务，因为每个水系统的响应不同。为了克服这一挑战，我们采用探索性因子分析（EFA），以了解使用过氧化氢（H2O2）对富营养化水作为饮用水供应的影响。该分析用于确定将受蓝藻（蓝藻）污染的原水暴露于5和10 mg L − 1的H2O2后描述水可处理性的主要因素。蓝藻叶绿素a是检测不到以下的两种浓度的H2O2的应用程序后4天，而不会引起相关的变化，绿色藻类和硅藻叶绿素浓度。EFA表明，受H2O2浓度影响的主要因素是浊度，pH值和蓝藻叶绿素浓度，这是饮用水处理厂的重要变量。H2O2通过降低这三个变量引起水可处理性的显著改善。最后，全民教育的使用被证明是一个很有前途的工具，在确定哪些湖沼变量是最相关的水处理的功效，这反过来又可以使水质监测更有效，成本更低。
The evaluation of water quality improvement brought about byin situtreatment of eutrophic water bodies, especially those used for human supply is a challenging task since each water system responds differently. To overcome this challenge, we applied exploratory factor analysis (EFA) to understand the effects of using hydrogen peroxide (H2O2) on eutrophic water used as a drinking water supply. This analysis was used to identify the main factors that described the water treatability after exposing blue-green algae (cyanobacteria) contaminated raw water to H2O2at both 5 and 10 mg L−1. Cyanobacterial chlorophyll-awas undetectable following the application of both concentrations of H2O2after four days, while not causing relevant changes to green algae and diatoms chlorophyll-aconcentrations. EFA demonstrated that the main factors affected by both H2O2concentrations were turbidity, pH, and cyanobacterial chlorophyll-aconcentration, which are important variables for a drinking water treatment plant. The H2O2caused significant improvement in water treatability by decreasing those three variables. Finally, the use of EFA was demonstrated to be a promising tool in identifying which limnological variables are most relevant concerning the efficacy of water treatment, which in turn can make water quality monitoring more efficient and less costly.