Articles | Volume 21, issue 11
https://doi.org/10.5194/acp-21-8709-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-8709-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Jun 2021
Research article |
| 09 Jun 2021
| 09 Jun 2021
Insights into seasonal variation of wet deposition over southeast Asia via precipitation adjustment from the findings of MICS-Asia III
Syuichi Itahashi
CORRESPONDING AUTHOR
Environmental Science Research Laboratory, Central Research Institute
of Electric Power Industry (CRIEPI), Abiko, Chiba 270–1194, Japan
Baozhu Ge
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP),
Chinese Academy of Sciences (CAS), Beijing 100029, China
Collage of Earth Science, University of Chinese Academy of Sciences,
Beijing 100049, China
Center for Excellence in Urban Atmospheric Environment, Institute of
Urban Environment, Chinese Academy of Sciences (CAS), Xiamen 361021, China
Keiichi Sato
Asia Center for Air Pollution Research (ACAP), 1182 Sowa, Nishi-ku,
Niigata, Niigata 950–2144, Japan
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP),
Chinese Academy of Sciences (CAS), Beijing 100029, China
Center for Excellence in Urban Atmospheric Environment, Institute of
Urban Environment, Chinese Academy of Sciences (CAS), Xiamen 361021, China
Research Institute for Applied Mechanics (RIAM), Kyushu University,
Fukuoka 816–8580, Japan
Junichi Kurokawa
Asia Center for Air Pollution Research (ACAP), 1182 Sowa, Nishi-ku,
Niigata, Niigata 950–2144, Japan
Jiani Tan
Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
Department of Civil and Environmental Engineering, University of
Tennessee, Knoxville, TN 37996, USA
Kan Huang
Department of Civil and Environmental Engineering, University of
Tennessee, Knoxville, TN 37996, USA
Department of Environmental Science and Engineering, Fudan University,
Shanghai 200433, China
Joshua S. Fu
Department of Civil and Environmental Engineering, University of
Tennessee, Knoxville, TN 37996, USA
Xuemei Wang
Institute for Environment and Climate Research, Jinan University,
Guangzhou 510275, China
Kazuyo Yamaji
Graduate School of Maritime Sciences, Kobe University, Kobe, Hyogo
658–0022, Japan
Tatsuya Nagashima
National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki
305–8506, Japan
Faculty of Life and Environmental Sciences, University of Tsukuba,
Tsukuba, Ibaraki 305–8572, Japan
Jie Li
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP),
Chinese Academy of Sciences (CAS), Beijing 100029, China
Collage of Earth Science, University of Chinese Academy of Sciences,
Beijing 100049, China
Center for Excellence in Urban Atmospheric Environment, Institute of
Urban Environment, Chinese Academy of Sciences (CAS), Xiamen 361021, China
Mizuo Kajino
Meteorological Research Institute (MRI), Tsukuba, Ibaraki 305–0052,
Japan
Faculty of Life and Environmental Sciences, University of Tsukuba,
Tsukuba, Ibaraki 305–8572, Japan
Gregory R. Carmichael
Center for Global and Regional Environmental Research, University of
Iowa, Iowa City, IA 52242, USA
Zifa Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP),
Chinese Academy of Sciences (CAS), Beijing 100029, China
Collage of Earth Science, University of Chinese Academy of Sciences,
Beijing 100049, China
Center for Excellence in Urban Atmospheric Environment, Institute of
Urban Environment, Chinese Academy of Sciences (CAS), Xiamen 361021, China
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Cited
9 citations as recorded by crossref.
- An observation-based adjustment method of regional contribution estimation from upwind emissions to downwind PM2.5 concentrations M. Bae et al. 10.1016/j.envint.2022.107214
- The impact of biomass burning emissions on aerosol concentrations and depositions in the northern South China Sea region J. Li et al. 10.3389/fenvs.2023.1124579
- Leveraging physics-based and explainable machine learning approaches to quantify the relative contributions of rain and air pollutants to wet deposition Y. Ryu & S. Min 10.1016/j.scitotenv.2024.172980
- Precipitation records of anthropogenic nitrogen pollution in two metropolitan cities of Southeast Asia K. Zhang et al. 10.1016/j.uclim.2023.101749
- Quantifying the wet deposition of reactive nitrogen over China: Synthesis of observations and models J. Tan et al. 10.1016/j.scitotenv.2022.158007
- Seasonal PM Management: (II) How Low PM2.5 Concentration in South Korea can be Achieved? M. Bae et al. 10.5572/KOSAE.2023.39.1.9
- Atmospheric Emissions from Electricity Generation in Southeast Asia: Development Trend and Policy Responses N. Oanh & L. Huy 10.1007/s40726-023-00289-0
- An increasing trend of inorganic nitrogen deposition across montane regions of China Y. Peng et al. 10.1016/j.atmosenv.2023.119780
- Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. 10.1029/2023JD039487
9 citations as recorded by crossref.
- An observation-based adjustment method of regional contribution estimation from upwind emissions to downwind PM2.5 concentrations M. Bae et al. 10.1016/j.envint.2022.107214
- The impact of biomass burning emissions on aerosol concentrations and depositions in the northern South China Sea region J. Li et al. 10.3389/fenvs.2023.1124579
- Leveraging physics-based and explainable machine learning approaches to quantify the relative contributions of rain and air pollutants to wet deposition Y. Ryu & S. Min 10.1016/j.scitotenv.2024.172980
- Precipitation records of anthropogenic nitrogen pollution in two metropolitan cities of Southeast Asia K. Zhang et al. 10.1016/j.uclim.2023.101749
- Quantifying the wet deposition of reactive nitrogen over China: Synthesis of observations and models J. Tan et al. 10.1016/j.scitotenv.2022.158007
- Seasonal PM Management: (II) How Low PM2.5 Concentration in South Korea can be Achieved? M. Bae et al. 10.5572/KOSAE.2023.39.1.9
- Atmospheric Emissions from Electricity Generation in Southeast Asia: Development Trend and Policy Responses N. Oanh & L. Huy 10.1007/s40726-023-00289-0
- An increasing trend of inorganic nitrogen deposition across montane regions of China Y. Peng et al. 10.1016/j.atmosenv.2023.119780
- Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. 10.1029/2023JD039487
Latest update: 13 Dec 2024
Short summary
This study presents the detailed analysis of acid deposition over southeast Asia based on the Model Inter-Comparison Study for Asia (MICS-Asia) phase III. Simulated wet deposition is evaluated with observation data from the Acid Deposition Monitoring Network in East Asia (EANET). The difficulties of models to capture observations are related to the model performance on precipitation. The precipitation-adjusted approach was applied, and the distribution of wet deposition was successfully revised.
This study presents the detailed analysis of acid deposition over southeast Asia based on the...
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