Monte Carlo Simulation and First Order Error Analysis: Two Possible Methods to Cope with Uncertainties in Water Quality Modeling, Applied on a Specific Model

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/2318 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/2318 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/2318 archive 351 disk0/00/00/23/03 2016-01-15 01:53:36 2021-08-27 17:11:29 2016-01-15 01:53:36 monograph show 2 Kamer S. van de Monte Carlo Simulation and First Order Error Analysis: Two Possible Methods to Cope with Uncertainties in Water Quality Modeling, Applied on a Specific Model pub iis_met iis_mod iis_wat prog_env Two methodologies to cope with uncertainties in water quality data and models are considered, namely Monte Carlo simulation and first order error analysis. To illustrate the methods, results of applications on a water quality model, which in fact is an 8 state variable, 14 parameter submodel of a comprehensive model for lake Neusiedl, are presented. Monte Carlo simulation based methods are shown to be useful for calculating valuable model predictions based on an adequate calibration. 1983-01 published WP-83-009 WP-83-009 public working_paper IIASA, Laxenburg, Austria 41 FALSE info:eu-repo/semantics/book