The eutrophication-related index of drinking water sources based on the oxidation-reduction potential

Wen Zhang, Jiaxin Zhu, Zhiwei Liu, Li Liu
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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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基于氧化还原电位的饮用水源富营养化相关指数
氮磷超标导致的水体富营养化是影响饮用水源水质的重要因素。方便地监测水体富营养化可以减少农药的使用,降低能耗,有助于促进生态和经济发展。本研究探讨了水体富营养化与氧化还原电位(ORP)之间的关系。结果表明,与富营养化相关的各种参数,如氨氮、总氮、总磷、叶绿素-a、蓝藻等,都与氧化还原电位存在相关性。富营养化与蓝藻浓度之间存在密切关系。当饮用水源中出现蓝藻藻华时,可能会对饮用水造成污染。由于传统的富营养化指数不包括蓝藻浓度,因此利用主成分分析法(PCA)对这些富营养化相关参数进行综合分析,得到富营养化相关指数,主成分的累计贡献率达到 81.8%。采用神经网络模型和数学拟合等不同的数学方法研究了 ORP 与富营养化相关指数之间的关系。结果表明,ORP 与富营养化相关指数之间存在三段关系。这种三段关系在不同的水库中得到了证实。
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