Solme Robust Statistical Procedures and Their Application To Air Pollution Data

Autor:	William S. Cleveland, Roberta Guarino
Rok vydání:	1976
Předmět:	Statistics and Probability Pollutant chemistry.chemical_compound Ozone chemistry Applied Mathematics Modeling and Simulation Air pollution medicine Environmental science medicine.disease_cause Atmospheric sciences
Zdroj:	Technometrics. 18:401-409
ISSN:	1537-2723 0040-1706
Popis:	Robust methods for estimation location and fitting principal components are used to investigate the production and origin of the air pollutant, ozone, within the New York City—Northern New Jersey region. Distributions of daily maximum ozone concentrations at five sites, three of them in highly urbanized areas and two of them in nonurban areas, are very similar. The differences in concentration which do exist, occur at hours other than those when maxima occur, and appear to be largely a result of differing levels of local emissions of nitric oxide, which reduces the ozone concentrations locally. These results suggest that it is unlikely that a reduction of emissions within the New York area alone would have the potential to reduce ozone concentrations within the area itself by a significant factor.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3e7414f8ed9cdb65dad532f5c4a0b723 https://doi.org/10.1080/00401706.1976.10489471 Zobrazit plný text záznamu