- document
- Onencan, A.M. (author), Enserink, B. (author), Kortmann, Rens (author), Thissen, W.A.H. (author) abstract 2015
- document
-
Biljecki, F. (author), Ledoux, H. (author), Stoter, J. (author)This paper describes the analysis of the propagation of positional uncertainty in 3D city models to the uncertainty in the computation of their volumes. Current work related to error propagation in GIS is limited to 2D data and 2D GIS operations, especially of rasters. In this research we have (1) developed two engines, one that generates random...conference paper 2014
- document
-
Raso, L. (author)Water systems consist of natural and man-made objects serving multiple essential purposes. They are affected by many types of meteorological disturbances. In order to deal with these disturbances and to serve the desired objectives, infrastructures have been built and managed by societies for specific purposes. Given a water system, and its...doctoral thesis 2013
- document
-
Jacobs, J.F. (author), Van de Poel, I. (author), Osseweijer, P. (author)The risks of novel technologies, such as nano(bio)technology cannot be fully assessed due to the existing uncertainties surrounding their introduction into society. Consequently, the introduction of innovative technologies can be conceptualised as a societal experiment, which is a helpful approach to evaluate moral acceptability. This approach...journal article 2010
- document
-
Kroon-van Loon, P.S. (author)About 30% of the increased greenhouse gas (GHG) emissions of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) are related to land use changes and agricultural activities. In order to select effective measures, knowledge is required about GHG emissions from these ecosystems and how these emissions are influenced by management and...doctoral thesis 2010
- document
-
Ruijven, B. (author), Van der Sluijs, J.P. (author), Van Vuuren, D.P. (author), Janssen, P. (author), Heuberger, P.S.C. (author), De Vries, B. (author)Uncertainties in energy demand modelling originate from both limited understanding of the real-world system and a lack of data for model development, calibration and validation. These uncertainties allow for the development of different models, but also leave room for different calibrations of a single model. Here, an automated model calibration...journal article 2009
- document
-
Brenner, T. (author), Werker, C. (author)When advising policy we face the fundamental problem that economic processes are connected with uncertainty and thus policy can err. In this paper we show how the use of simulation models can reduce policy errors. We suggest that policy is best based on socalled abductive simulation models, which help to better understand how policy measures can...journal article 2009
- document
-
Exbrayat, J. F. (author), Breuer, L. (author), Viney, N. R. (author), Seibert, J. (author), Wrede, S. (author), Frede, H. G. (author)Model predictions of biogeochemical fluxes on the landscape scale are highly uncertain, both with respect to stochastic (parameter) and structural uncertainty. The idea of our ensemble modelling approach is to reduce the predictive uncertainty by covering part of the parameter and model structural uncertainty. In this study 4 different models...conference paper 2009