Optimisation of monitoring data for increased predictive reliability of regional water allocation models

MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty

Volumn , Issue , 2011, Pages 3903-3909

  Moore, C R ^a   Wohling Th ^b,c   Wolf, L ^a  

^a CSIRO   (Australia)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c LINCOLN AGRITECH LTD   (New Zealand)

Author keywords

Decision making; Groundwater; Monitoring networks; Optimisation; Predictive uncertainty

Indexed keywords

CALIBRATION PROCESS; DATA ACQUISITIONS (DAQ); DATA COLLECTION STRATEGIES; DATA GATHERING; DATA TYPE; DOHERTY; ENVIRONMENTAL HETEROGENEITY; GROUNDWATER MODELS; GROUNDWATER MONITORING; MODEL PREDICTIVE; MODEL-BASED OPC; MODEL-BASED PREDICTION; MONITORING NETWORK; MONITORING NETWORKS; MONITORING SITES; OPTIMISATIONS; PREDICTIVE UNCERTAINTY; PROBLEM FORMULATION; PUBLIC DOMAINS; PUBLIC SCRUTINY; REGIONAL GROUNDWATER; REGIONAL MODEL; WATER ALLOCATION MODELS;

COST BENEFIT ANALYSIS; DATA ACQUISITION; DECISION MAKING; ENVIRONMENTAL MANAGEMENT; FORECASTING; GROUNDWATER; GROUNDWATER RESOURCES; OPTIMIZATION; PATIENT MONITORING; RELIABILITY;

UNCERTAINTY ANALYSIS;

EID: 84858823437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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