Phosphorus load estimation in the Saginaw River, MI using a Bayesian hierarchical/multilevel model

Water Research

Volumn 44, Issue 10, 2010, Pages 3270-3282

  Cha, YoonKyung ^a   Stow, Craig A ^b   Reckhow, Kenneth H ^a   DeMarchi, Carlo ^c   Johengen, Thomas H ^d  

^a DUKE UNIVERSITY   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c CASE WESTERN RESERVE UNIVERSITY   (United States)

^d UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Annual riverine load; Bayesian hierarchical modeling; Predictive uncertainty; Ratio estimation; Total phosphorus

Indexed keywords

HIERARCHICAL SYSTEMS; PARAMETER ESTIMATION; PHOSPHORUS; SAMPLING; UNCERTAINTY ANALYSIS;

ANNUAL RIVERINE LOAD; BAYESIAN; BAYESIAN HIERARCHICAL MODELLING; HIERARCHICAL MULTILEVEL; LOAD ESTIMATION; PHOSPHORUS LOADS; PREDICTIVE UNCERTAINTY; RATIO ESTIMATIONS; TOTAL PHOSPHORUS;

BAYESIAN NETWORKS;

PHOSPHORUS;

BAYESIAN ANALYSIS; CONCENTRATION (COMPOSITION); HYDROCHEMISTRY; NUMERICAL MODEL; PHOSPHORUS; RIVER FLOW; RIVER WATER; UNCERTAINTY ANALYSIS;

ACCURACY; ARTICLE; BAYES THEOREM; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; ENVIRONMENTAL MONITORING; MATHEMATICAL ANALYSIS; PREDICTION; PRIORITY JOURNAL; PROBABILITY; QUANTITATIVE ANALYSIS; RIVER ECOSYSTEM; SAMPLE SIZE; UNITED STATES; WATER FLOW; WATER QUALITY; WATER SAMPLING;

MICHIGAN; SAGINAW RIVER; UNITED STATES;

EID: 77952550819     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.watres.2010.03.008     Document Type: Article

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