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Water Quality Modelling In Rivers With Limited Observational Data: River Elbe Case Study, Renata J. Romanowicz, Ulrich Callies, Peter C. Young
Water Quality Modelling In Rivers With Limited Observational Data: River Elbe Case Study, Renata J. Romanowicz, Ulrich Callies, Peter C. Young
International Congress on Environmental Modelling and Software
Water quality predictions in an ungauged catchment require the development of a model that is able to capture the basic physical features of the process and depends only on variables that are easily available. From this point of view, the model has similar requirements to those used in future climate scenario analysis. The mechanistic water quality model, developed in GKSS, Germany, for the purpose of climate change analysis, uses only climatic variables, such as temperature, radiation and discharge, to predict the time variability of algae concentrations. This paper presents the development of a statistical analogue to this mechanistic model. The …
The Evaluation Of Uncertainty Propagation Into River Water Quality Predictions To Guide Future Monitoring Campaigns, V. Vandenberghe, Willy Bauwens, Peter A. Vanrolleghem
The Evaluation Of Uncertainty Propagation Into River Water Quality Predictions To Guide Future Monitoring Campaigns, V. Vandenberghe, Willy Bauwens, Peter A. Vanrolleghem
International Congress on Environmental Modelling and Software
To evaluate the future state of river water in view of actual loading or different management options, water quality models are a useful tool. However, the uncertainty on the model predictions is sometimes too high to draw proper conclusions. It is of high importance to modellers to minimise the uncertainty of the model predictions. Therefore different research is needed according to the origin of the uncertainty. If the uncertainty stems from input data uncertainty or from parameter uncertainty, more reliable results can be obtained by performing specific measurement campaigns. To guide these measurement campaigns, an uncertainty analysis can give important …
Relative Importance Of Model And Parameter Uncertainty In Models Used For Prediction Of Persistence And Long-Range Transport Potential Of Chemical Pollutants, K. Fenner, M. J. Macleod, M. Stroebe, A. Beyer, M. Scheringer
Relative Importance Of Model And Parameter Uncertainty In Models Used For Prediction Of Persistence And Long-Range Transport Potential Of Chemical Pollutants, K. Fenner, M. J. Macleod, M. Stroebe, A. Beyer, M. Scheringer
International Congress on Environmental Modelling and Software
Overall persistence (POV) and long-range transport potential (LRTP) of chemicals are two indicators used in the context of precautionary chemical assessment. Multimedia fate models are used in research and regulatory contexts to calculate numerical indicators of POV and LRTP. The resulting indicator values exhibit uncertainty due to model uncertainty concerning model design and due to variability and uncertainty in the substance parameters. In this study, we compare the relative magnitude of substance parameter and model uncertainty for a large set of 3175 hypothetical chemicals that evenly cover the chemical parameter space and for eight different multimedia models available for the …
The Influence Of Agricultural Data Uncertainty In The Life Cycle Assessment Of Biodegradable Hydraulic Lubricants, R. Ferret, G. Mendoza, M. Castilla
The Influence Of Agricultural Data Uncertainty In The Life Cycle Assessment Of Biodegradable Hydraulic Lubricants, R. Ferret, G. Mendoza, M. Castilla
International Congress on Environmental Modelling and Software
From a Life Cycle Assessment study of hydraulic lubricants from vegetable and mineral oil, ithas been found that the agricultural step in the biodegradable hydraulic lubricant production has the mainenvironmental impact. The aim of this study is to develop an uncertainty analysis of agricultural data usedin the biodegradable hydraulic lubricant inventory from this LCA to determine the influence of datauncertainty in the environmental LCA result. Two parameters have been selected for the uncertaintyanalysis: fertilization practices and machinery operations. A variation parameter analysis has been carriedout obtaining that assumptions and simplifications made (pre-treatment soil operations and fertilizationrates), which clearly influence on …