Effects of changes in data reporting practices on trend assessments

This paper illustrates inhomogeneities in pollutant time-series data caused by changes in data reporting practices. These inhomogeneities may have a substantial effect on trend assessments. Therefore, in estimating trends or mean levels in pollutant time series or attributing changes in pollutant le...

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Veröffentlicht in:	Atmospheric environment (1994) 2000, Vol.34 (16), p.2659-2662
Hauptverfasser:	Henry, Robert F, Trivikrama Rao, S, Zurbenko, Igor G, Steven Porter, P
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Atmospheric pollution Bias detection Emission reduction policies Exact sciences and technology Pollutants physicochemistry study: properties, effects, reactions, transport and distribution Pollution Time-series analysis Trend detection and attribution Trends in carbon monoxide and ozone
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Zusammenfassung:	This paper illustrates inhomogeneities in pollutant time-series data caused by changes in data reporting practices. These inhomogeneities may have a substantial effect on trend assessments. Therefore, in estimating trends or mean levels in pollutant time series or attributing changes in pollutant levels to an emission control policy, it is important to homogenize time-series data.
ISSN:	1352-2310 1873-2844
DOI:	10.1016/S1352-2310(99)00507-5