Meteorological normalisation is a technique which accounts for changes in meteorology
over time in an air quality time series. Controlling for such changes helps support robust …

In China, emissions of ozone (O3)-producing pollutants have been targeted for mitigation to
reduce O3 pollution. However, the observed O3 decrease is slower than/opposite to …

Extreme value theory is unique as a statistical discipline in that it develops techniques and
models for describing the unusual rather than the usual. As an abstract study of random …

Surface ozone is a greenhouse gas and pollutant detrimental to human health and crop and
ecosystem productivity. The Tropospheric Ozone Assessment Report (TOAR) is designed to …

The prediction of tropospheric ozone concentrations is very important due to the negative
impacts of ozone on human health, climate and vegetation. The development of models to …

The United States Environmental Protection Agency issues periodic reports that describe air
quality trends in the US. For some pollutants, such as ozone, both observed and …

Trend analyses of time series of environmental data are often carried out to assess the
human impact on the environment under the influence of natural fluctuations in temperature …

Recent acknowledgement of the sensitivity of air quality to changes in climate has initiated a
closer examination of the relationships between meteorology and air quality. This paper …

Modeling relationships between safflower seed yield (SY) and its components would be
helpful to understand the most important trait-(s) with significant effects on seed yield, which …

Ozone, which is one of the most crucial pollutants regarding air quality and climate change,
negatively impacts on human health, climate, and vegetation; therefore, the prediction of …