Accounting for spatial effects in land use regression for urban air pollution modeling
نویسندگان
چکیده
منابع مشابه
Correlation of air pollutants with land use and traffic measures in Tehran, Iran: A preliminary statistical analysis for land use regression modeling
Land use regression (LUR) models have been globally used to estimate long-term air pollution exposures. The present study aimed to analyze the association of different land use types and traffic measures with air pollutants in Tehran, Iran, as part of the future development of LUR models. Data of the particulate matter (PM10), sulfur dioxide (SO2), and nitrogen dioxide (NO2) were extracted from...
متن کاملUrban Air Pollution Modeling
All life form on this planet depends on clean air. Air quality not only affects human health but also components of environment such as water, soil, and forests, which are the vital resources for human development. Urbanization is a process of relative growth in a country’s urban population accompanied by an even faster increase in the economic, political, and cultural importance of cities rela...
متن کاملA review of land-use regression models to assess spatial variation of outdoor air pollution
Studies on the health effects of long-term average exposure to outdoor air pollution have played an important role in recent health impact assessments. Exposure assessment for epidemiological studies of long-term exposure to ambient air pollution remains a difficult challenge because of substantial small-scale spatial variation. Current approaches for assessing intra-urban air pollution contras...
متن کاملModeling for vehicular pollution in urban region; A review
Air pollution is one of the major threats to environment in the present time. Increase in degree of urbanization is a major cause of this air pollution. Due to urbanization, vehicular activities are continuously increasing at a tremendous rate. Mobile or vehicular pollution is predominantly degrading the air quality worldwide. Thus, air quality management is necessary for dealing with this seve...
متن کاملLand use regression modeling of intra-urban residential variability in multiple traffic-related air pollutants
BACKGROUND There is a growing body of literature linking GIS-based measures of traffic density to asthma and other respiratory outcomes. However, no consensus exists on which traffic indicators best capture variability in different pollutants or within different settings. As part of a study on childhood asthma etiology, we examined variability in outdoor concentrations of multiple traffic-relat...
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ژورنال
عنوان ژورنال: Spatial and Spatio-temporal Epidemiology
سال: 2015
ISSN: 1877-5845
DOI: 10.1016/j.sste.2015.06.002