The Eutrophication-related Index of Drinking Water Sources Based on the Oxidation-Reduction Potential

Authors

  • Wen Zhang Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, College of Biology and Environmental Engineering, Zhejiang Shuren University, Hangzhou 310015, Zhejiang Province, China
  • Jiaxin Zhu Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, College of Biology and Environmental Engineering, Zhejiang Shuren University, Hangzhou 310015, Zhejiang Province, China
  • Zhiwei Liu College of Environment and Chemical Engineering, Yanshan University, Qinhuangdao 066004, Hebei Province, China
  • Liu Li Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, College of Biology and Environmental Engineering, Zhejiang Shuren University, Hangzhou 310015, Zhejiang Province, China

Keywords:

Water quality, Nutrients, ORP, Eutrophication, Drinking water source

Abstract

Eutrophication caused by excessive nitrogen and phosphorus is an important factor affecting water quality in drinking water sources. Convenient monitoring of eutrophication in water bodies can reduce the use of pesticides and reduce energy consumption, helping to promote ecological and economic development. This study examined the relationship between water eutrophication and the oxidation-reduction potential (ORP). The results showed that various parameters related to eutrophication, such as ammonia nitrogen, total nitrogen, total phosphorus, chlorophyll-a, and cyanobacteria, had correlations with ORP. There is a close relationship between eutrophication and the concentration of cyanobacteria. When cyanobacteria blooms occur in the drinking water source, it may contaminate the drinking water. Because the conventional eutrophication index does not include the concentration of cyanobacteria, principal component analysis (PCA) was utilized to comprehensively analyze these eutrophication-related parameters and obtain the eutrophication-related index, with the cumulative contribution of principal components reaching 81.8%. Different mathematical methods such as neural network model and mathematical fitting were used to study the relationship between ORP and the eutrophication-related index. A three-segment relationship between the ORP and the index was established. This three-stage relationship was confirmed in different reservoirs.

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Published

2024-06-05

How to Cite

Wen Zhang, Jiaxin Zhu, Zhiwei Liu, & Liu Li. (2024). The Eutrophication-related Index of Drinking Water Sources Based on the Oxidation-Reduction Potential. BioResources, 19(3), 4941–4959. Retrieved from https://ojs.bioresources.com/index.php/BRJ/article/view/23470

Issue

Section

Research Article or Brief Communication