The relationships of different concentration Fe2+, S2- with hydrodynamics, DO in black bloom water based on quantile regression method
WANG Yu-lin1,2,3, WANG Liang1,2,3, HUA Zu-lin1,2,3
1. Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China;
2. College of Environment, Hohai University, Nanjing 210098, China;
3. National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China
The quantile regression method has been applied to examine the relationship between different concentrations of Fe2+ and S2- with velocity and Dissolved Oxygen (DO) in the black bloom region on the Nanfei River estuary of Chaohu Lake. Unlike linear regression, quantile regression can quantitatively analyze the effect of flow velocity and DO on different concentrations of Fe2+ and S2-. Analysis showed that the flow of water reduces the concentration of Fe2+ and S2- by dispersion. The effect of increasing velocity significantly reduced the concentration of Fe2+ and S2- in the Nanfei River estuary and the edge of the black bloom where the concentration gradient was high. However, there was hardly any effect on the reduction of Fe2+ and S2- pollution in the middle of the black bloom region where the concentration gradient was low. Increasing the DO concentration reduced the S2- pollution if the concentration was above 0.043mg/L. It also decreased the Fe2+concentration when it was above 0.80mg/L. Conversely, the treatment of low concentrations of Fe2+ and S2- were little. These results provide a theoretical basis for the management of black blooms in shallow lakes.
王玉琳, 汪靓, 华祖林. 黑臭水体中不同浓度Fe2+、S2-与DO和水动力关系[J]. 中国环境科学, 2018, 38(2): 627-633.
WANG Yu-lin, WANG Liang, HUA Zu-lin. The relationships of different concentration Fe2+, S2- with hydrodynamics, DO in black bloom water based on quantile regression method. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(2): 627-633.
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