DocumentCode
1705763
Title
Study on prediction of COD in a southern sewage river of certain coastal city
Author
Dong, Lihua ; Zhao, Xinhua ; Yang, Youan
Author_Institution
Sch. of Environ. Sci. & Eng., Tianjin Univ., Tianjin, China
Volume
2
fYear
2011
Firstpage
1304
Lastpage
1307
Abstract
This paper focuses on the prediction of Chemical Oxygen Consumption (COD) in a sewage River. Considering environmental hazards of indiscriminate discharge of sewage, the experiment was performed on a sewage river of selected area. COD was measured at selected sampling locations from Aug 2007 to Aug. 2008. We conducted a total of nine samples. During the experiment, the sampling time is basically the same and time intervals of sampling are also consistent, therefore the sampled data (seven samples) can be looked on as a sequence of time. According to the requirements of time series analysis, manipulate the data and test the stationarity of the series. By time series analysis, an ARIMA (1, 0, 2) model is developed. Significant test of model parameters and adaptive testing of the model show that the ARIMA (1, 0, 2) model of COD was significant. Using the data from water quality testing department of the city to test the model. The results indicates that the veracity of the ARIMA model was 84.9%, which meets the precision requirement of the model. The model is conducive to the rational utilization of environmental capacity and can provide scientific foundation for general regulation and management of rivers.
Keywords
autoregressive moving average processes; environmental factors; rivers; sewage treatment; time series; water pollution; ARIMA; COD; Southern sewage river; chemical oxygen consumption; coastal city; environmental hazard; time series analysis; Adaptation model; Correlation; Predictive models; Presses; Rivers; Time series analysis; Water pollution; ARIMA model; chemical oxygen consumption; sewage river; time series analysis; veracity;
fLanguage
English
Publisher
ieee
Conference_Titel
Water Resource and Environmental Protection (ISWREP), 2011 International Symposium on
Conference_Location
Xi´an
Print_ISBN
978-1-61284-339-1
Type
conf
DOI
10.1109/ISWREP.2011.5893258
Filename
5893258
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