Exploring estuarine nutrient susceptibility

Environmental Science and Technology

Volumn 43, Issue 10, 2009, Pages 3474-3479

  Scavia, Donald ^a   Liu, Yong ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INFERENCE; EFFICIENCY FACTOR; FIRST-ORDER; FUNDAMENTAL PRINCIPLES; MARKOV CHAIN MONTE CARLO ALGORITHMS; MASS BALANCE; NITROGEN LOADS; NUTRIENT LOADING; NUTRIENT LOADS; PRIMARY PRODUCTION; RESPONSE FUNCTIONS; RIVER INFLOW; SCREENING TOOL; SIMPLE MODEL;

ALGAE CONTROL; BAYESIAN NETWORKS; CHLOROPHYLL; INFERENCE ENGINES; MARKOV PROCESSES; NUTRIENTS; PARAMETER ESTIMATION; PHYTOPLANKTON; PORPHYRINS; RANGE FINDING;

ESTUARIES;

CHLOROPHYLL; NITROGEN; RIVER WATER;

ALGORITHM; ENVIRONMENTAL MODELING; ESTUARINE ENVIRONMENT; MARKOV CHAIN; MASS BALANCE; MONTE CARLO ANALYSIS; NUTRIENT ENRICHMENT; PHYTOPLANKTON; THEORETICAL STUDY;

ALGORITHM; ARTICLE; BAYES THEOREM; CLASSIFICATION; ESTUARY; MEASUREMENT; MONTE CARLO METHOD; NONHUMAN; NUTRIENT LOADING; PARAMETER; PHYTOPLANKTON; PREDICTION; PROBABILITY; STOICHIOMETRY; UNITED STATES; WATER FLOW;

CHLOROPHYLL; NITROGEN; PHYTOPLANKTON; RIVERS;

NORTH AMERICA; UNITED STATES;

ALGAE;

EID: 66249086923     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es803401y     Document Type: Article

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