TY - JOUR
T1 - Comprehensive understanding of new particle formation in China through advanced modeling
AU - Shen, Jiewen
AU - Zhao, Bin
AU - Ning, An
AU - Nie, Wei
AU - Yan, Chao
AU - Li, Yuyang
AU - Cai, Runlong
AU - Saiz-Lopez, Alfonso
AU - Shrivastava, Manish
AU - Chu, Biwu
AU - Gao, Da
AU - Myllys, Nanna
AU - Yin, Dejia
AU - Zhang, Hua
AU - Gao, Yang
AU - Liu, Yuliang
AU - Chi, Xuguang
AU - Qi, Ximeng
AU - Zhang, Ying
AU - Liu, Yongchun
AU - Chen, Jianmin
AU - Wang, Lin
AU - Ding, Aijun
AU - Jiang, Jingkun
AU - Zhang, Xiuhui
AU - Kulmala, Markku
AU - He, Hong
AU - Wang, Shuxiao
N1 - Publisher Copyright:
© 2026 Science China Press
PY - 2026/4/30
Y1 - 2026/4/30
N2 - New particle formation (NPF) substantially affects air pollution and climate change. However, as an NPF hotspot, the mechanisms and impacts of NPF across broad spatial and temporal scales over China remain poorly understood, largely owing to the lack of critical NPF processes in atmospheric models. This study developed a comprehensive model that integrates 12 NPF mechanisms, including recent insights on various iodine–oxoacid-driven pathways and cluster-dynamics-based rate calculations. The updated model reduces model–observation discrepancies from around or over an order of magnitude to within ±30% across different sites and seasons. Simulations revealed that NPF over mainland China is driven primarily by sulfuric acid (H2SO4), dimethylamine (DMA), and iodic acid (HIO3). Importantly, H2SO4–DMA nucleation is not only the dominant mechanism in urban atmospheres, but also a major contributor in agricultural and forested regions. Differently, the HIO3–(H2SO4)–DMA mechanism contributes substantially in southeastern coastal areas, while iodine–oxoacid–H2SO4 pathways dominate in marine regions. High H2SO4 levels are identified as the main driver of eastern China's NPF hotspots, with temperature governing seasonal variations. Correspondingly, NPF contributes 10%–35% of cloud condensation nuclei (at 0.5% supersaturation) in the lower troposphere. Our models and findings support comprehensive understanding of NPF over China, and are also highly valuable for studying NPF in other regions with diverse emission sources and land cover types, and thereby contributing to accurate assessment of the environmental and climatic effects of aerosols.
AB - New particle formation (NPF) substantially affects air pollution and climate change. However, as an NPF hotspot, the mechanisms and impacts of NPF across broad spatial and temporal scales over China remain poorly understood, largely owing to the lack of critical NPF processes in atmospheric models. This study developed a comprehensive model that integrates 12 NPF mechanisms, including recent insights on various iodine–oxoacid-driven pathways and cluster-dynamics-based rate calculations. The updated model reduces model–observation discrepancies from around or over an order of magnitude to within ±30% across different sites and seasons. Simulations revealed that NPF over mainland China is driven primarily by sulfuric acid (H2SO4), dimethylamine (DMA), and iodic acid (HIO3). Importantly, H2SO4–DMA nucleation is not only the dominant mechanism in urban atmospheres, but also a major contributor in agricultural and forested regions. Differently, the HIO3–(H2SO4)–DMA mechanism contributes substantially in southeastern coastal areas, while iodine–oxoacid–H2SO4 pathways dominate in marine regions. High H2SO4 levels are identified as the main driver of eastern China's NPF hotspots, with temperature governing seasonal variations. Correspondingly, NPF contributes 10%–35% of cloud condensation nuclei (at 0.5% supersaturation) in the lower troposphere. Our models and findings support comprehensive understanding of NPF over China, and are also highly valuable for studying NPF in other regions with diverse emission sources and land cover types, and thereby contributing to accurate assessment of the environmental and climatic effects of aerosols.
KW - Aerosol
KW - Cloud condensation nuclei
KW - New particle formation
KW - Sulfuric acid-iodine oxoacid-amine nucleation
KW - Three-dimensional numerical modeling
UR - https://www.scopus.com/pages/publications/105033823288
U2 - 10.1016/j.scib.2026.03.012
DO - 10.1016/j.scib.2026.03.012
M3 - Article
AN - SCOPUS:105033823288
SN - 2095-9273
VL - 71
SP - 2083
EP - 2093
JO - Science Bulletin
JF - Science Bulletin
IS - 8
ER -