The Study on the Correlation between Removal Rate of Pollutants and its Influencing Factors in Xinxue River Constructed Wetland of China

Article Preview

Abstract:

Based on the monitoring data of February~December 2009 from Xinxue River Constructed Wetland, the regression analysis theory was used to establish mathematical models to determine the correlationship among the removal rate of pollutants, pollutant concentration, water temperature and influent water inflow, and optimize the operation parameters of the wetland. The multivariate linear regression equation was established with Statistical analysis software (SPSS). According to the correlation coefficient of the equation: the NH3-N removal has a significant positive correlation with water temperature, and a significant negative correlation with influent flow, total nitrogen removal has a significant positive correlation with water temperature, COD removal has a significant positive correlation with COD influent concentration. In addition, veracity of the model was also checked by contrasting the measured and analog data of March~June 2010 from the wetland. The results show that this model has a desired effect to estimate the removal rate and effluent concentration of COD and NH3-N, but undesirable to total nitrogen.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 374-377)

Pages:

932-936

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Guijun Wang, Xiuqing Zhang and Hong Dou: Journal of Changchun Normal University(Natural Science), Vol. 27(2) (2008), p.57- In Chinese

Google Scholar

[2] Li Zhang, Xiaodong Zhu and Jiaqing Zou: Industrial Water Treatment, Vol. 28(1) (2008), p.87- In Chinese

Google Scholar

[3] Hammar D A et al: Constructed wetlands for Wastewater Treatment, Michigan: Lewis Publisher Inc, Vol. 20(5) (1989).

Google Scholar

[4] Hong Liu, Mingli Dai and Xueyan Liu: Environmental Science, Vol. 25(4) (2004), pp.65-69- In Chinese

Google Scholar

[5] Woltemade C J: Journal of Soil and Conservation, Vol. 53(3) (2000), pp.303-309

Google Scholar

[6] Liren Hao, Yuan Fan and Zheou Hao: Practical Statistic Analysis of SPSS, China WaterPower Press (2002) - In Chinese

Google Scholar