Improving Concentration Measures Used for Evaluating Air Quality Models

New methods for evaluating meteorological models used in air quality applications

Meteorological models in conjunction with air quality models are being used to simulate the transport and fate of pollutants in the atmosphere. Hence, there is a need for an extensive evaluation of the entire modeling system. In this study, several new techniques to assess the performance of mesoscale meteorological models are introduced with an emphasis on evaluating the variables and processe...

Improving air quality

Sources of PM10 within urban areas of the UK include road traffic, industry and power production. Results from numerous investigations of human respiratory and other diseases show consistent statistical associations between human exposure to outdoor levels of PM10 and adverse health impacts. Health effects range from alveolar inflammation in the lungs and respiratory-tract infection (specifical...

Evaluating predictive quality models derived from software measures: Lessons learned

This paper describes an empirical comparison of several modeling techniques for predicting the quality of software components early in the software life cycle. Using software product measures, we built models that classify components as high-risk, i.e., likely to contain faults, or low-risk, i.e., likely to be free of faults. The modeling techniques evaluated in this study include principal com...

Evaluating the Performance of Air Quality Models ii

Image Quality Measures for Evaluating Gamut Mapping

In this paper we compare different image quality measures for the gamut mapping problem, and validate them using psychovisual data from four recent gamut mapping studies. The psychovisual data are choice data of the form: given an original image and two images obtained by applying different gamut mapping algorithms, an observer chooses the one that reproduces the original image better in his/he...