Application of Bayesian Theory to Water Quality Comprehensive Assessment

Mei Liu; Jun Lu

doi:10.4028/www.scientific.net/AMR.610-613.917

Paper Titles

Research Progress of River Water Quality Simulation
p.894

Indicator’s Weight Determination of Evaluating Reclamation’s Impact on Marine Resources
p.900

Research on Assessment and Classification for Major Hazard Installation of Dangerous Chemicals
p.904

Evaluation of Water Pollution of Hotels Surrounding Dongchang Lakes in Shandong Province of China
p.910

Application of Bayesian Theory to Water Quality Comprehensive Assessment
p.917

Field Measurement and Analysis of the Micro Climate of a Campus Square
p.923

Evaluation of Ecological Risk on Soil Heavy Metals Pollution of Qingyuan
p.928

Distribution Characteristics and Ecological Risk Assessment of Arsenic in the Surface Sediment of Bohai Sea
p.932

Regulation Based on the Carrying Capacity of the Water Environment and Water Quality Information System Model Research
p.936

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 610-613Application of Bayesian Theory to Water Quality...

Application of Bayesian Theory to Water Quality Comprehensive Assessment

Abstract:

According to many uncertain problems of current water quality comprehensive assessment, a Bayesian model for water quality evaluation was established based on the basic principles of Bayesian formula. Select monthly monitoring data for 5 parameters at 15 different monitoring sections, generated from July 2006 to June 2007 and use Chinese GB3838-2002 as evaluation standards to analyze the water quality grade in this study. The annual evaluation results show that the water quality of ChangLe River mainly belongs to Ⅲ and Ⅳ grade. The monthly water quality has a certain relation with rainfall. The Bayesian method has the characteristic of more integrated, suitable for both large and small samples, simple calculation and easily to be used widely.

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Periodical:

Advanced Materials Research (Volumes 610-613)

Pages:

917-922

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.610-613.917

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Online since:

December 2012

Authors:

Mei Liu, Jun Lu

Keywords:

Bayesian Method, Changle River, Water Quality Assessment

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