A hypothesis-driven approach to optimize field campaigns

Water Resources Research

Volumn 48, Issue 6, 2012, Pages

  Nowak, Wolfgang ^a   Rubin, Yoram ^b   De Barros, Felipe P J ^c  

^a UNIVERSITY OF STUTTGART   (Germany)

^b 109 McLaughlin Hall   (United States)

^c UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN HYPOTHESIS; BINARY DECISION; CRITICAL LEVEL; DATA COLLECTION; DATA TYPE; ENVIRONMENTAL PERFORMANCE; FAILURE PROBABILITY; FIELD CAMPAIGN; GOAL-ORIENTED; HYPOTHESIS TESTING; INFORMATION NEED; LOGICAL MODELING; MANAGEMENT DECISIONS; MODEL CHOICE; MODEL UNCERTAINTIES; OBJECTIVE FUNCTIONS; RATIONAL FIELDS; SOURCES OF UNCERTAINTY; STOCHASTIC HYDROGEOLOGY;

ENVIRONMENTAL MANAGEMENT; GROUNDWATER; HYDROGEOLOGY; UNCERTAINTY ANALYSIS;

OPTIMIZATION;

BAYESIAN ANALYSIS; DATA SET; DECISION MAKING; HYDROGEOLOGY; HYDROLOGICAL MODELING; PREDICTION; STOCHASTICITY; UNCERTAINTY ANALYSIS; WATER MANAGEMENT;

EID: 84862298203     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR011016     Document Type: Article

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