This is the first time that chemical land quality, air quality, deprivation and health datasets have been combined for a major UK city.
The best air quality assessments emerge from integrated datasets that include satellite data, ground-based measures and outputs from air quality models.
Two urban development scenarios were defined, SPRAWL and COMPACT, together with their new land use and emission datasets; then meteorological and air quality simulations were performed.
The study presented here analyzes a unique yearlong dataset of simultaneous roadside air quality and traffic observations for a U.S. arterial to assess the reliability of using traffic volumes as a proxy for traffic-related exposure.
The growing availability of instruments designed and optimized to the real-time monitoring of the air quality, considerably increased the spatial and temporal resolution of available datasets, actually improving air pollution maps and forecast models.
The authors gratefully thank the NOAA Air resources Laboratory (ARL) for the providing the HYSPLIT model; the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, for providing the NCEP Reanalysis datasets and the Environmental Office in Gothenburg for providing air quality data.
In a first application of non-metric multidimensional scaling to a large-scale, framework dataset, we modeled lichen community response to air quality and climate gradients at 1416 forested 0.4 ha plots.
Since hour of admission is available on the NYS hospital discharge dataset, future analyses could link the health and air quality on the hourly scale rather than the daily scale.
Datasets of higher resolution hourly temperature (from BADC) and ozone (Air Quality Archive) from a greater number of monitoring sites, both urban and rural, were also obtained for UK-wide evaluation of the climate-chemistry model.
We sift through a plethora of globally available, national datasets that measure a suite of environmental issues, ranging from climate change to air quality and forests.
