title: Uncertainty assessment of VOC emissions from paint in The Netherlands using the NUSAP system.
abstract: We demonstrate an innovative approach to uncertainty assessment known as the NUSAP system, to assess qualitative and quantitative uncertainty for the case of emissions of volatile organic compounds (VOC) from paint in The Netherlands. Using expert elicitation, we identified key sources of error, critical assumptions, and bias in the monitoring process. We assessed pedigree and probabilistic uncertainty of all input quantities. We used four pedigree criteria to assess the strength of the knowledge base: proxy representation, empirical basis, methodological rigour and degree of validation. Using Monte Carlo analysis, we assessed sensitivity and propagation of uncertainty. Results for sensitivity and pedigree were combined in a 'NUSAP Diagnostic Diagram', which effectively highlighted the assumption for VOC percentage of imported paint as the weakest spot in the monitoring of VOC emissions. We conclude that NUSAP facilitates systematic scrutinization of method and underlying assumptions and structures creative thinking on sources of error and bias. It provides a means to prioritise uncertainties and focus research efforts on the potentially most problematic parameters and assumptions, at the same time identifying specific weaknesses in the knowledge base. With NUSAP, nuances of meaning about quantities can be conveyed concisely and clearly, to a degree that is not possible with statistic methods only.
authors.affiliation: Copernicus Institute for Sustainable Development and Innovation, Utrecht University, Heidelberglaan 2, Utrecht, The Netherlands. j.p.vandersluijs@chem.uu.nl
authors.forename: Jeroen P
authors.initials: JP
authors.lastname: Van der Sluijs
authors.forename: James S
authors.initials: JS
authors.lastname: Risbey
authors.forename: Jerry
authors.initials: J
authors.lastname: Ravetz
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods*; D009010:Monte Carlo Method; D009426:Netherlands; D009930:Organic Chemicals / Q000032:analysis*; D010150:Paint; D012107:Research Design; D035501:Uncertainty; D014835:Volatilization
chemical_list: D000393:Air Pollutants; D009930:Organic Chemicals