Generation of exposure response relationships for short term health effects related to urban air pollution

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Priscilla Johnson* ◽  
Sheela Ravinder ◽  
Santu Ghosh ◽  
Padmavathi Ramasamy ◽  
Kalpana Balakrishnan
2020 ◽  
Vol 3 (12) ◽  
pp. 1005-1011 ◽  
Author(s):  
Guojun He ◽  
Yuhang Pan ◽  
Takanao Tanaka

Author(s):  
Mario E. Jorquera

Most common urban air pollution episodes occur during readily identifiable meteorological conditions that contribute to the problem. In contrast, most air pollution controls concentrate on permanent curtailments of emissions. The argument is put forth that episodic emission control strategies can be an effective supplement to traditional measures, at a fraction of the cost. Questions regarding the legality of episodic controls have been the main barrier to their implementation. These legal issues are discussed. In addition, the forecasting and modeling implications of episodic controls are considered. Several areas have implemented episodic air pollution controls or used accurate short-term forecasts to warn the public through health advisories of pending air pollution events. Some of these success stories are highlighted. A scheme for assisting the prediction of emissions reductions based on the degree to which episodic measures are voluntary or mandatory is proposed. This method may help resolve emission reduction credit and enforcement issues, making approval of episodic measures for state implementation plans and conformity more likely. The transportation sector has the potential to make episodic measures successful. Furthermore, some of these measures are eligible for federal transportation dollars. The potential for funding transportation-related episodic controls is explored. While episodic controls cannot replace traditional controls, they can be an incremental or short-term solution that may evolve into, or be used in conjunction with, other plans. Transportation professionals are incited to develop creative short-term solutions to the pervasive, yet short-term, problem of urban air pollution.


Epidemiology ◽  
2009 ◽  
Vol 20 ◽  
pp. S71
Author(s):  
Barbara Hoffmann ◽  
Anja Viehmann ◽  
Sabine Hertel ◽  
Susanne Moebus ◽  
Stefan Möhlenkamp ◽  
...  

Air Pollution ◽  
2010 ◽  
pp. 165-201 ◽  
Author(s):  
Manas Ray ◽  
Twisha Lahiri

2007 ◽  
Vol 7 (3) ◽  
pp. 855-874 ◽  
Author(s):  
A. Baklanov ◽  
O. Hänninen ◽  
L. H. Slørdal ◽  
J. Kukkonen ◽  
N. Bjergene ◽  
...  

Abstract. Urban air pollution is associated with significant adverse health effects. Model-based abatement strategies are required and developed for the growing urban populations. In the initial development stage, these are focussed on exceedances of air quality standards caused by high short-term pollutant concentrations. Prediction of health effects and implementation of urban air quality information and abatement systems require accurate forecasting of air pollution episodes and population exposure, including modelling of emissions, meteorology, atmospheric dispersion and chemical reaction of pollutants, population mobility, and indoor-outdoor relationship of the pollutants. In the past, these different areas have been treated separately by different models and even institutions. Progress in computer resources and ensuing improvements in numerical weather prediction, air chemistry, and exposure modelling recently allow a unification and integration of the disjunctive models and approaches. The current work presents a novel approach that integrates the latest developments in meteorological, air quality, and population exposure modelling into Urban Air Quality Information and Forecasting Systems (UAQIFS) in the context of the European Union FUMAPEX project. The suggested integrated strategy is demonstrated for examples of the systems in three Nordic cities: Helsinki and Oslo for assessment and forecasting of urban air pollution and Copenhagen for urban emergency preparedness.


2006 ◽  
Vol 6 (2) ◽  
pp. 1867-1913 ◽  
Author(s):  
A. Baklanov ◽  
O. Hänninen ◽  
L. H. Slørdal ◽  
J. Kukkonen ◽  
N. Bjergene ◽  
...  

Abstract. Urban air pollution is associated with significant adverse health effects. Model-based abatement strategies are required and developed for the growing urban populations. In the initial development stage, these are focussed on exceedances of air quality standards caused by high short-term pollutant concentrations. Prediction of health effects and implementation of urban air quality information and abatement systems require accurate forecasting of air pollution episodes and population exposure, including modelling of emissions, meteorology, atmospheric dispersion and chemical reaction of pollutants, population mobility, and indoor-outdoor relationship of the pollutants. In the past, these different areas have been treated separately by different models and even institutions. Progress in computer resources and ensuing improvements in numerical weather prediction, air chemistry, and exposure modelling recently allow a unification and integration of the disjunctive models and approaches. The current work presents a novel approach that integrates the latest developments in meteorological, air quality, and population exposure modelling into Urban Air Quality Information and Forecasting Systems (UAQIFS) in the context of the European Union FUMAPEX project. The suggested integrated strategy is demonstrated for examples of the systems in three Nordic cities: Helsinki and Oslo for assessment and forecasting of urban air pollution and Copenhagen for urban emergency preparedness.


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