This is a repository of (only) journal articles related to air pollution covering all the key subjects like emission inventories, emission factors, dispersion modeling, source apportionment, health impact studies, energy scenarios, etc. While the list is populated with India specific papers, a number of interesting and useful papers from other countries are also included. Follow the article links to the journal pages for full articles.
If you want to search the metadata of the papers,click here. Note that this is a repository of papers which we found interesting and we are sharing the title, abstract, and link to only those articles here.
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Silva, R A; West, J J; Zhang, Y; Anenberg, S C; Lamarque, J -F; Shindell, D T; Collins, W J; Dalsoren, S; Faluvegi, G; Folberth, G; Horowitz, L W; Nagashima, T; Naik, V; Rumbold, S; Skeie, R; Sudo, K; Takemura, T; Bergmann, D; Cameron-Smith, P; Cionni, I; Doherty, R M; Eyring, V; Josse, B; Mackenzie, I A; Plummer, D; Righi, M; Stevenson, D S; Strode, S; Szopa, S; Zeng, G Global premature mortality due to anthropogenic outdoor air pollution and the contribution of past climate change Journal Article Environmental Research Letters, 8 (3), 2013, (cited By 158). Abstract | Links | BibTeX | Tags: Air pollution mortality; Cardiopulmonary disease; Chemistry-climate models; Confidence interval; Fine particulate matter (PM2.5); Low concentrations; Outdoor air pollution; Premature mortality, air quality; atmospheric pollution; climate change; climate modeling; concentration (composition); health risk; mortality; public health; simulation; uncertainty analysis, Air quality; Estimation; Ozone; Particles (particulate matter), Climate change @article{Silva2013,
title = {Global premature mortality due to anthropogenic outdoor air pollution and the contribution of past climate change}, author = {R A Silva and J J West and Y Zhang and S C Anenberg and J -F Lamarque and D T Shindell and W J Collins and S Dalsoren and G Faluvegi and G Folberth and L W Horowitz and T Nagashima and V Naik and S Rumbold and R Skeie and K Sudo and T Takemura and D Bergmann and P Cameron-Smith and I Cionni and R M Doherty and V Eyring and B Josse and I A Mackenzie and D Plummer and M Righi and D S Stevenson and S Strode and S Szopa and G Zeng}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884473954&doi=10.1088%2f1748-9326%2f8%2f3%2f034005&partnerID=40&md5=1bc561241958b46918a53c09a4d8b4b2}, doi = {10.1088/1748-9326/8/3/034005}, year = {2013}, date = {2013-01-01}, journal = {Environmental Research Letters}, volume = {8}, number = {3}, publisher = {Institute of Physics Publishing}, abstract = {Increased concentrations of ozone and fine particulate matter (PM2.5) since preindustrial times reflect increased emissions, but also contributions of past climate change. Here we use modeled concentrations from an ensemble of chemistry-climate models to estimate the global burden of anthropogenic outdoor air pollution on present-day premature human mortality, and the component of that burden attributable to past climate change. Using simulated concentrations for 2000 and 1850 and concentration-response functions (CRFs), we estimate that, at present, 470 000 (95% confidence interval, 140 000 to 900 000) premature respiratory deaths are associated globally and annually with anthropogenic ozone, and 2.1 (1.3 to 3.0) million deaths with anthropogenic PM2.5-related cardiopulmonary diseases (93%) and lung cancer (7%). These estimates are smaller than ones from previous studies because we use modeled 1850 air pollution rather than a counterfactual low concentration, and because of different emissions. Uncertainty in CRFs contributes more to overall uncertainty than the spread of model results. Mortality attributed to the effects of past climate change on air quality is considerably smaller than the global burden: 1500 (-20 000 to 27 000) deaths yr-1 due to ozone and 2200 (-350 000 to 140 000) due to PM2.5. The small multi-model means are coincidental, as there are larger ranges of results for individual models, reflected in the large uncertainties, with some models suggesting that past climate change has reduced air pollution mortality. © 2013 IOP Publishing Ltd.}, note = {cited By 158}, keywords = {Air pollution mortality; Cardiopulmonary disease; Chemistry-climate models; Confidence interval; Fine particulate matter (PM2.5); Low concentrations; Outdoor air pollution; Premature mortality, air quality; atmospheric pollution; climate change; climate modeling; concentration (composition); health risk; mortality; public health; simulation; uncertainty analysis, Air quality; Estimation; Ozone; Particles (particulate matter), Climate change}, pubstate = {published}, tppubtype = {article} } Increased concentrations of ozone and fine particulate matter (PM2.5) since preindustrial times reflect increased emissions, but also contributions of past climate change. Here we use modeled concentrations from an ensemble of chemistry-climate models to estimate the global burden of anthropogenic outdoor air pollution on present-day premature human mortality, and the component of that burden attributable to past climate change. Using simulated concentrations for 2000 and 1850 and concentration-response functions (CRFs), we estimate that, at present, 470 000 (95% confidence interval, 140 000 to 900 000) premature respiratory deaths are associated globally and annually with anthropogenic ozone, and 2.1 (1.3 to 3.0) million deaths with anthropogenic PM2.5-related cardiopulmonary diseases (93%) and lung cancer (7%). These estimates are smaller than ones from previous studies because we use modeled 1850 air pollution rather than a counterfactual low concentration, and because of different emissions. Uncertainty in CRFs contributes more to overall uncertainty than the spread of model results. Mortality attributed to the effects of past climate change on air quality is considerably smaller than the global burden: 1500 (-20 000 to 27 000) deaths yr-1 due to ozone and 2200 (-350 000 to 140 000) due to PM2.5. The small multi-model means are coincidental, as there are larger ranges of results for individual models, reflected in the large uncertainties, with some models suggesting that past climate change has reduced air pollution mortality. © 2013 IOP Publishing Ltd.
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