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- W2376908975 abstract "There is no proper way to predicate maximum algae biomass of an alga bloom many water supply plants, which use lakes or reservoirs as water resources. Through a designed simulating system, algae are cultivated to investigate the relation between the maximum biomass and other factors. This paper proposes a new comprehensive factor model for algae biomass predication in local lake area. In this model, total nitrogen, total phosphorus, water temperature, light intensity, pH and water depth are used to construct the comprehensive factor. And the maximum algae biomass is a function of the comprehensive factor. By applying it to several raw water samples, the model has proved an average accuracy of 14.6% at water temperature 30℃ and 19.4 % at water temperature 20℃." @default.
- W2376908975 created "2016-06-24" @default.
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- W2376908975 date "2006-01-01" @default.
- W2376908975 modified "2023-09-25" @default.
- W2376908975 title "A new comprehensive factor predication model of algae biomass in local lake area" @default.
- W2376908975 hasPublicationYear "2006" @default.
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