Exact(10)
The existing and newly developed methodologies make it possible to monitor air pollutants across forest landscapes and develop pollution distribution models.
Pollution distribution is not only affected by the source of pollutant but also by the changing aspects of the atmosphere.
Therefore to understand the dynamics of pollution distribution, we require data that can highlight the diffusion of pollutants with respect to time and prevailing atmospheric conditions.
Furthermore in order to effectively tackle the detection of pollution distribution and production, it is also required that trends specific to a region over time are observed.
PMCH has been widely used in various tracer gas studies to characterize ventilation systems, atmospheric transport patterns, and pollution distribution schemes.
The system can provide real-time, reliable and intuitive pollution distribution and data query for some environment protection and other related departments.
Similar(50)
Time-microenvironment activity data for the working-age population was obtained from the EXPOLIS study (air pollution distributions within adult urban populations in Europe).
Future studies should focus on accurate modeling of both local and regional spatial and temporal air pollution distributions, and incorporate source information to help better inform policy decisions on air pollution control.
Assessing pollution distributions at the intraurban scale has proved challenging because of the lack of routinely collected data, but a new class of models (Jerrett et al. 2005a) that uses geographic information systems (GIS) to integrate existing information now shows promise.
Pollution sources are trackable by examining the pollutant distribution in the carousel.
This study presented extent of metal pollution and distribution pattern over the stations, seasons, tides and depth.
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