Prediction of Water Pollution by Nutrients Based on Eutrophication Evaluation
Hu, Zuwu
Liu, Ling
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How to Cite

Hu Z., Liu L., 2018, Prediction of Water Pollution by Nutrients Based on Eutrophication Evaluation, Chemical Engineering Transactions, 71, 667-672.
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China’s inland lakes have been faced with the problem of severe eutrophication water pollution. The purpose of this study is to predict the eutrophication level of water bodies and provide theoretical basis for water body management. To this end, by taking the 18 measuring points in Wuliangsuhai, Inner Mongolia as the object of study, this paper performs samplings and cluster analysis, to obtain the correlation relationship between chlorophyll a (Chl-a) and nutrients such as total phosphorus (TP) and total nitrogen (TN) etc. Besides, based on the empirical formula, the 2012-2014 sampling data were used to revise the slope and intercept, and then obtain the prediction model of TP in spring and chl-a concentration in summer, that is, the prediction model of water eutrophication; the 2015-2016 sampling data were used to validate the prediction model. The research results show that the relative error between the prediction model and the measured data is less than 20%, which meets the requirements of the qualified prediction model, and can predict the eutrophication of the water body. This provides theoretical support for the prediction and prevention of eutrophication for inland lakes in China.
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