Articles | Volume 13, issue 19
https://doi.org/10.5194/acp-13-9975-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-13-9975-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Oct 2013
Research article |
| 10 Oct 2013
The dispersion characteristics of air pollution from the world's megacities
M. Cassiani
1-NILU, Norwegian Institute for Air Research, 2027, Kjeller, Norway
1-NILU, Norwegian Institute for Air Research, 2027, Kjeller, Norway
S. Eckhardt
1-NILU, Norwegian Institute for Air Research, 2027, Kjeller, Norway
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- Quantitative evaluation of numerical integration schemes for Lagrangian particle dispersion models H. Ramli & J. Esler https://doi.org/10.5194/gmd-9-2441-2016
- A wavelet analysis of multiday extreme ozone and its precursors in Mexico city during 2015–2016 D. Aguilar-Velázquez & I. Reyes-Ramírez https://doi.org/10.1016/j.atmosenv.2018.06.017
- A two-stage gradient boosting framework coupled with Lagrangian particle tracking for rapid atmospheric radionuclide dispersion prediction in nuclear emergency response J. Zhao & X. Tong https://doi.org/10.1016/j.jenvrad.2026.107936
- Unique stochastic Lagrangian particle dispersion models for inhomogeneous turbulent flows J. Esler https://doi.org/10.1017/jfm.2021.724
- Overview: On the transport and transformation of pollutants in the outflow of major population centres – observational data from the EMeRGe European intensive operational period in summer 2017 M. Andrés Hernández et al. https://doi.org/10.5194/acp-22-5877-2022
- Recent satellite-based trends of tropospheric nitrogen dioxide over large urban agglomerations worldwide P. Schneider et al. https://doi.org/10.5194/acp-15-1205-2015
- Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study E. Jäkel et al. https://doi.org/10.5194/amt-8-5237-2015
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- Natural radioactivity as an easy and quick parameter for describing the dynamic of the Planetary Boundary Layer P. Avino et al. https://doi.org/10.1039/C5RA10618D
- Prediction of Lagrangian dispersion of fluid particles in isotropic turbulent flows using large-eddy simulation method Z. Zhou et al. https://doi.org/10.1007/s00707-017-1877-5
- Combining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PM2.5 and PM10 H. Jorquera & A. Villalobos https://doi.org/10.3390/ijerph17228455
- First long-term air quality assessment in Luanda, Angola: Performance evaluation of a low-cost monitoring station against reference equipment A. da Silva et al. https://doi.org/10.1016/j.apr.2025.102746
- The offline Lagrangian particle model FLEXPART–NorESM/CAM (v1): model description and comparisons with the online NorESM transport scheme and with the reference FLEXPART model M. Cassiani et al. https://doi.org/10.5194/gmd-9-4029-2016
- Factors affecting vehicle exhaust emissions, driver motivations as a mediator Y. Al-Rawi et al. https://doi.org/10.1007/s10018-020-00291-6
- Interpreting aerosol lifetimes using the GEOS-Chem model and constraints from radionuclide measurements B. Croft et al. https://doi.org/10.5194/acp-14-4313-2014
- Weather elements, chemical air pollutants and airborne pollen influencing asthma emergency room visits in Szeged, Hungary: performance of two objective weather classifications L. Makra et al. https://doi.org/10.1007/s00484-014-0938-x
- Detection of pollution outflow from Mexico City using CALIPSO lidar measurements J. Kar et al. https://doi.org/10.1016/j.rse.2015.08.009
- The statistical overloading framework for accurate evaluation of pollutant dispersal with rigorous uncertainty estimation K. Krishnaprasad et al. https://doi.org/10.1016/j.jaerosci.2025.106590
- CRISPR/Cas9-Mediated genetically edited ornamental and aromatic plants: A promising technology in phytoremediation of heavy metals S. Nayeri et al. https://doi.org/10.1016/j.jclepro.2023.139512
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