Suspended sediment source apportionment in Chesapeake Bay watershed using Bayesian chemical mass balance receptor modeling

Hydrological Processes

Volumn 27, Issue 24, 2013, Pages 3363-3374

  Massoudieh, Arash ^a   Gellis, Allen ^b   Banks, William S ^b   Wieczorek, Michael E ^b  

^a Civil Engineering ^*  (United States)

^b USGS MD DE DC Water Science Center   (United States)

Author keywords

Bayesian inference; Chemical mass balance; Sediment; Source apportionment

Indexed keywords

95% CREDIBLE INTERVALS; BAYESIAN INFERENCE; CHEMICAL MASS BALANCE; CHEMICAL MASS BALANCE RECEPTOR MODELS; CHESAPEAKE BAY WATERSHED; PROBABILITY DENSITIES; SOURCE APPORTIONMENT; SUSPENDED SEDIMENT SOURCES;

BAYESIAN NETWORKS; FORESTRY; INFERENCE ENGINES; SEDIMENTS; SUSPENDED SEDIMENTS;

UNCERTAINTY ANALYSIS;

BAYESIAN ANALYSIS; CHEMICAL MASS BALANCE; EROSION; HETEROGENEITY; NUMERICAL MODEL; RIVER BANK; SUSPENDED SEDIMENT; WATERSHED;

CHESAPEAKE BAY; MARYLAND; UNITED STATES;

EID: 84886287366     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.9429     Document Type: Article

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