Application of Bayesian theory to water quality comprehensive assessment

被引：2
|
作者：
Liu, Mei [1 ]
Lu, Jun [2 ]
机构：
[1] Zhejiang Univ, Zhejiang Prov Key Lab Subtrop Soil & Plant Nutr, Hangzhou 310058, Zhejiang, Peoples R China
[2] Zhejiang Univ, Coll Environm Sci & Nat Resources, Dept Nat Resources, Hangzhou 310058, Peoples R China
来源：
PROGRESS IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-4 | 2013年 / 610-613卷
基金：
中国国家自然科学基金;
关键词：
water quality assessment; Bayesian method; Changle River; MANAGEMENT;
D O I：
10.4028/www.scientific.net/AMR.610-613.917
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
引用
收藏
页码：917 / +
页数：2
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