Articles | Volume 14, issue 17
https://doi.org/10.5194/acp-14-9259-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-9259-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Sep 2014
Research article |
| 09 Sep 2014
Photochemical roles of rapid economic growth and potential abatement strategies on tropospheric ozone over South and East Asia in 2030
S. Chatani
Toyota Central R&D Labs., Inc., Nagakute, Japan
M. Amann
International Institute for Applied Systems Analysis, Laxenburg, Austria
A. Goel
The Energy and Resources Institute, New Delhi, India
J. Hao
Tsinghua University, Beijing, China
Z. Klimont
International Institute for Applied Systems Analysis, Laxenburg, Austria
A. Kumar
The Energy and Resources Institute, New Delhi, India
A. Mishra
The Energy and Resources Institute, New Delhi, India
S. Sharma
The Energy and Resources Institute, New Delhi, India
S. X. Wang
Tsinghua University, Beijing, China
Y. X. Wang
Tsinghua University, Beijing, China
B. Zhao
Tsinghua University, Beijing, China
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Cited
23 citations as recorded by crossref.
- Current and Future Disease Burden From Ambient Ozone Exposure in India L. Conibear et al. 10.1029/2018GH000168
- Determining hotspots of gaseous criteria air pollutants in Delhi airshed and its association with stubble burning N. Nirwan et al. 10.1038/s41598-023-51140-x
- Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010 – Part 1: Model evaluation and air mass characterization for stratosphere–troposphere transport S. Itahashi et al. 10.5194/acp-20-3373-2020
- Uncertainties Caused by Major Meteorological Analysis Data Sets in Simulating Air Quality Over India S. Chatani & S. Sharma 10.1029/2017JD027502
- Impact of spatial scales of control measures on the effectiveness of ozone pollution mitigation in eastern China R. Yan et al. 10.1016/j.scitotenv.2023.167521
- Stubble burning: Effects on health & environment, regulations and management practices M. Abdurrahman et al. 10.1016/j.envadv.2020.100011
- High spatial resolution ozone risk-assessment for Asian forests A. Marco et al. 10.1088/1748-9326/abb501
- A Review of Air Quality Modeling Studies in India: Local and Regional Scale R. Garaga et al. 10.1007/s40726-018-0081-0
- Influence of enhanced Asian NO<sub><i>x</i></sub> emissions on ozone in the upper troposphere and lower stratosphere in chemistry–climate model simulations C. Roy et al. 10.5194/acp-17-1297-2017
- Constraining the uncertainty in emissions over India with a regional air quality model evaluation A. Karambelas et al. 10.1016/j.atmosenv.2017.11.052
- Simulating ozone concentrations using precursor emission inventories in Delhi – National Capital Region of India S. Sharma & M. Khare 10.1016/j.atmosenv.2016.12.009
- Impact of regional climate change and future emission scenarios on surface O<sub>3</sub> and PM<sub>2.5</sub> over India M. Pommier et al. 10.5194/acp-18-103-2018
- Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations S. Lee et al. 10.3390/rs14092123
- Photo-chemical transport modelling of tropospheric ozone: A review S. Sharma et al. 10.1016/j.atmosenv.2017.03.047
- Inverse estimation of NOx emissions over China and India 2005–2016: contrasting recent trends and future perspectives S. Itahashi et al. 10.1088/1748-9326/ab4d7f
- How Will Air Quality Change in South Asia by 2050? R. Kumar et al. 10.1002/2017JD027357
- Impacts of household sources on air pollution at village and regional scales in India B. Rooney et al. 10.5194/acp-19-7719-2019
- Sensitivity analysis of ground level ozone in India using WRF-CMAQ models S. Sharma et al. 10.1016/j.atmosenv.2016.01.036
- Modeling biogenic and anthropogenic secondary organic aerosol in China J. Hu et al. 10.5194/acp-17-77-2017
- Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China T. Fang et al. 10.1016/j.jenvman.2020.110650
- Increasing volatile organic compounds emission from massive industrial coating consumption require more comprehensive prevention D. Wang et al. 10.1016/j.jclepro.2023.137459
- Indian emissions of technology-linked NMVOCs with chemical speciation: An evaluation of the SAPRC99 mechanism with WRF-CAMx simulations M. Sarkar et al. 10.1016/j.atmosenv.2016.03.037
- Revealing the driving effect of emissions and meteorology on PM2.5 and O3 trends through a new algorithmic model D. Wang et al. 10.1016/j.chemosphere.2022.133756
23 citations as recorded by crossref.
- Current and Future Disease Burden From Ambient Ozone Exposure in India L. Conibear et al. 10.1029/2018GH000168
- Determining hotspots of gaseous criteria air pollutants in Delhi airshed and its association with stubble burning N. Nirwan et al. 10.1038/s41598-023-51140-x
- Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010 – Part 1: Model evaluation and air mass characterization for stratosphere–troposphere transport S. Itahashi et al. 10.5194/acp-20-3373-2020
- Uncertainties Caused by Major Meteorological Analysis Data Sets in Simulating Air Quality Over India S. Chatani & S. Sharma 10.1029/2017JD027502
- Impact of spatial scales of control measures on the effectiveness of ozone pollution mitigation in eastern China R. Yan et al. 10.1016/j.scitotenv.2023.167521
- Stubble burning: Effects on health & environment, regulations and management practices M. Abdurrahman et al. 10.1016/j.envadv.2020.100011
- High spatial resolution ozone risk-assessment for Asian forests A. Marco et al. 10.1088/1748-9326/abb501
- A Review of Air Quality Modeling Studies in India: Local and Regional Scale R. Garaga et al. 10.1007/s40726-018-0081-0
- Influence of enhanced Asian NO<sub><i>x</i></sub> emissions on ozone in the upper troposphere and lower stratosphere in chemistry–climate model simulations C. Roy et al. 10.5194/acp-17-1297-2017
- Constraining the uncertainty in emissions over India with a regional air quality model evaluation A. Karambelas et al. 10.1016/j.atmosenv.2017.11.052
- Simulating ozone concentrations using precursor emission inventories in Delhi – National Capital Region of India S. Sharma & M. Khare 10.1016/j.atmosenv.2016.12.009
- Impact of regional climate change and future emission scenarios on surface O<sub>3</sub> and PM<sub>2.5</sub> over India M. Pommier et al. 10.5194/acp-18-103-2018
- Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations S. Lee et al. 10.3390/rs14092123
- Photo-chemical transport modelling of tropospheric ozone: A review S. Sharma et al. 10.1016/j.atmosenv.2017.03.047
- Inverse estimation of NOx emissions over China and India 2005–2016: contrasting recent trends and future perspectives S. Itahashi et al. 10.1088/1748-9326/ab4d7f
- How Will Air Quality Change in South Asia by 2050? R. Kumar et al. 10.1002/2017JD027357
- Impacts of household sources on air pollution at village and regional scales in India B. Rooney et al. 10.5194/acp-19-7719-2019
- Sensitivity analysis of ground level ozone in India using WRF-CMAQ models S. Sharma et al. 10.1016/j.atmosenv.2016.01.036
- Modeling biogenic and anthropogenic secondary organic aerosol in China J. Hu et al. 10.5194/acp-17-77-2017
- Real-time source contribution analysis of ambient ozone using an enhanced meta-modeling approach over the Pearl River Delta Region of China T. Fang et al. 10.1016/j.jenvman.2020.110650
- Increasing volatile organic compounds emission from massive industrial coating consumption require more comprehensive prevention D. Wang et al. 10.1016/j.jclepro.2023.137459
- Indian emissions of technology-linked NMVOCs with chemical speciation: An evaluation of the SAPRC99 mechanism with WRF-CAMx simulations M. Sarkar et al. 10.1016/j.atmosenv.2016.03.037
- Revealing the driving effect of emissions and meteorology on PM2.5 and O3 trends through a new algorithmic model D. Wang et al. 10.1016/j.chemosphere.2022.133756
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