Towards uncertainty mapping in air-quality modelling and assessment
| Autor: | Bernard Fisher, Ana Margarida Costa, Alexandra Monteiro, Agnes Dudek, Bruce Denby, Sam-Erik Walker, Sef van den Elshout |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Exceedance
Bayesian probability Uncertainty Probability density function Management Monitoring Policy and Law Assessment Pollution Representativeness heuristic Ensemble learning Bayesian Modelling Data assimilation Mapping Air quality Econometrics Environmental science Sensitivity analysis Waste Management and Disposal Air quality index Uncertainty analysis Probability |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| Popis: | The aim of this paper is to promote the use of uncertainty mapping when spatial assessments of air quality are made. A large number of air quality maps are produced for scientific and policy purposes but rarely are corresponding maps of their uncertainty included. The need for such maps and the methods to produce them are described. Several uncertainty parameters are discussed but it is recommended to use the probability density function as the basis of the uncertainty estimates. Several examples are provided discussing indicative uncertainty, ensemble methods, comparisons with observations, spatial representativeness, uncertainty in exceedances and probability of exceedance. published |
| Databáze: | OpenAIRE |
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