Rapid Adaptive Optimization Model for Atmospheric Chemistry (ROMAC) v1.0
Jiangyong Li,Chunlin Zhang,Wenlong Zhao,Shijie Han,Yu Wang,Hao Wang,and Boguang Wang
Jiangyong Li
Australia–China Centre for Air Quality Science and Management (Guangdong), Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong Provincial Observation and Research Station for Atmospheric Environment and Carbon Neutrality in Nanling Forests, Guangzhou, 511443, China
Chunlin Zhang
Australia–China Centre for Air Quality Science and Management (Guangdong), Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong Provincial Observation and Research Station for Atmospheric Environment and Carbon Neutrality in Nanling Forests, Guangzhou, 511443, China
Wenlong Zhao
Australia–China Centre for Air Quality Science and Management (Guangdong), Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Shijie Han
Australia–China Centre for Air Quality Science and Management (Guangdong), Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong Provincial Observation and Research Station for Atmospheric Environment and Carbon Neutrality in Nanling Forests, Guangzhou, 511443, China
Yu Wang
Australia–China Centre for Air Quality Science and Management (Guangdong), Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Air Quality Studies, Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Australia–China Centre for Air Quality Science and Management (Guangdong), Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong Provincial Observation and Research Station for Atmospheric Environment and Carbon Neutrality in Nanling Forests, Guangzhou, 511443, China
Australia–China Centre for Air Quality Science and Management (Guangdong), Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China
Guangdong Provincial Observation and Research Station for Atmospheric Environment and Carbon Neutrality in Nanling Forests, Guangzhou, 511443, China
Viewed
Total article views: 2,878 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,058
697
123
2,878
126
207
HTML: 2,058
PDF: 697
XML: 123
Total: 2,878
BibTeX: 126
EndNote: 207
Views and downloads (calculated since 05 Jul 2023)
Cumulative views and downloads
(calculated since 05 Jul 2023)
Total article views: 2,011 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,502
408
101
2,011
108
180
HTML: 1,502
PDF: 408
XML: 101
Total: 2,011
BibTeX: 108
EndNote: 180
Views and downloads (calculated since 30 Oct 2023)
Cumulative views and downloads
(calculated since 30 Oct 2023)
Total article views: 867 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
556
289
22
867
18
27
HTML: 556
PDF: 289
XML: 22
Total: 867
BibTeX: 18
EndNote: 27
Views and downloads (calculated since 05 Jul 2023)
Cumulative views and downloads
(calculated since 05 Jul 2023)
Viewed (geographical distribution)
Total article views: 2,878 (including HTML, PDF, and XML)
Thereof 2,790 with geography defined
and 88 with unknown origin.
Total article views: 2,011 (including HTML, PDF, and XML)
Thereof 1,978 with geography defined
and 33 with unknown origin.
Total article views: 867 (including HTML, PDF, and XML)
Thereof 812 with geography defined
and 55 with unknown origin.
Photochemical box models, crucial for understanding tropospheric chemistry, face challenges due to slow computational efficiency with large chemical equations. The model introduced in this study, ROMAC, boosts efficiency by up to 96 % using an advanced atmospheric solver and an adaptive optimization algorithm. Moreover, ROMAC exceeds traditional box models in evaluating the impact of physical processes on pollutant concentrations.
Photochemical box models, crucial for understanding tropospheric chemistry, face challenges due...
