Water quality modeling for load reduction under uncertainty: A Bayesian approach

Water Research

Volumn 42, Issue 13, 2008, Pages 3305-3314

  Liu, Yong ^a,b   Yang, Pingjian ^a   Hu, Cheng ^c   Guo, Huaicheng ^a  

^a PEKING UNIVERSITY   (China)

^b UNIVERSITY OF MICHIGAN   (United States)

^c Liaoning Academy of Environmental Sciences   (China)

Author keywords

Bayesian approach; Hun Taizi River; Load estimation; Markov chain Monte Carlo (MCMC); Water quality modeling

Indexed keywords

BAYESIAN NETWORKS; BIOCHEMICAL OXYGEN DEMAND; DECAY (ORGANIC); DECISION MAKING; DISSOLVED OXYGEN; MARKOV PROCESSES; QUALITY MANAGEMENT; REGULATORY COMPLIANCE; RIVER POLLUTION; RIVERS; UNCERTAINTY ANALYSIS; WATER CONSERVATION; WATER MANAGEMENT;

BAYESIAN APPROACHES; DISTRIBUTED SOURCES; HUN-TAIZI RIVER; LOAD ESTIMATION; LOAD REDUCTION; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; RIVER SEGMENTS; WATER QUALITY MODELLING;

WATER QUALITY;

AMMONIA; NITROGEN; ORGANIC MATTER;

BAYESIAN ANALYSIS; DECISION MAKING; HYDROLOGICAL MODELING; LOADING; MARKOV CHAIN; REDUCTION; RIVER POLLUTION; UNCERTAINTY ANALYSIS; WATER QUALITY;

ARTICLE; BAYES THEOREM; BIOCHEMICAL OXYGEN DEMAND; CHINA; CONCENTRATION (PARAMETERS); HEALTH SURVEY; POLLUTANT; PRIORITY JOURNAL; RIVER; TIME SERIES ANALYSIS; VELOCITY; WATER QUALITY;

ASIA; CHINA; EURASIA; FAR EAST; HUN-TAIZI RIVER;

EID: 54049091201     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.watres.2008.04.007     Document Type: Article

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