air pollution assessment using gis


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PDF Air Pollution Monitoring Using Earth Observation & GIS

Using Earth Observation & GIS Diofantos G Hadjimitsis Kyriacos Themistocleous and Argyro Nisantzi Cyprus University of Technology Cyprus 1 Introduction Air pollution has received considerable attention by local and global communities (Wald et al 1999) Many major cities have established air quality monitoring stations but these

PDF GIS for Air Quality

pollution A GIS can be used to track the EPA regulated pollutant emissions by delineating the effects of ozone smog dust and other harmful airborne pollutants on plant and human life By monitoring those relationships a GIS becomes a tool conservationists can use to ensure that no further pollution occurs GIS technology allows us to

  • How does GIS help the environment?

    GIS technology manages statistical and spatial data to provide a tool that shows the relationship between poor air quality and occurrences of defi cient human and environmental health. In this way, a GIS aids in monitoring pollutant emissions. The EPA implemented the Clean Air Act to protect our environment from the harmful effects of pollution.

  • How can GIS be used to predict air pollution?

    Briggs et al. (1997) described the application of GIS as a tool, Combined with least square regression analysis for mapping traffic related air pollution to generate predictive models of pollution surfaces, based on monitored pollution data and exogenous information. Fig 2.

  • Why do we use spatial mapping techniques to predict air pollution?

    Spatial mapping techniques such as land use regression models (LUR), geostatistical interpolation method, and dispersion models have been used to estimate, predict, and map air pollution because of their better interpretation, visualization, and understanding of prediction outcomes.

  • Can satellite data be used to measure air pollution?

    Even Though, air pollutants measurements using satellite data have some uncertainty, but satellite data can serve as surrogate to measure the surface level of air quality. Therefore, it is crucial to understand the uncertainties associated with satellite data.

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