Open AccessThe Relationship of Different COD Concentration, Sediment Pollutant Content with Hydrodynamic in Black Bloom Water Based on Stepwise Regression Method
Author(s) -
Yu Shan,
L Nguyen Hong,
Bingjie Lu,
Jun Chen,
Jie Jin,
Ke Wu,
Xinwu Gao,
Yonglian Song,
Jun Liu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/774/1/012139
Subject(s) - sediment , stepwise regression , linear regression , pollutant , correlation coefficient , phosphorus , regression analysis , content (measure theory) , environmental science , coefficient of determination , hydrology (agriculture) , chemistry , mathematics , geology , statistics , geotechnical engineering , geomorphology , mathematical analysis , organic chemistry
To analyze the relationship of different COD concentration, sediment pollutants with hydrodynamic. Taking a polluted river as the research object, the data of flow velocity, water temperature, COD concentration, sediment OM content, sediment TN content and sediment TP content at nine sampling points were analyzed by stepwise regression and SPSS 25 data analysis software. Construct linear regression model of COD concentration Y, river flow velocity X 1 , water temperature X 2 , sediment OM content X 3 , sediment TN content X 4 , sediment TP content X 5 . The regression equation Y=106.172-64.304X 4 + 0.065X 5 with correlation coefficient R=0.954 and determination coefficient R 2 =0.91 was obtained by stepwise regression method. The results showed that the concentration of COD in water was correlated with the content of nitrogen and phosphorus in river sediments, and negatively correlated with the content of TN and positively correlated with the content of TP. The model can be used to estimate COD load of water body by analyzing the nitrogen and phosphorus content in river sediments.