High-resolution modeling of gaseous methylamines over a polluted region in China: source-dependent emissions and implications of spatial variations

被引:43
|
作者
Mao, Jingbo [1 ,4 ]
Yu, Fangqun [1 ,3 ]
Zhang, Yan [1 ,2 ,4 ,5 ]
An, Jingyu [6 ]
Wang, Lin [1 ]
Zheng, Jun [7 ]
Yao, Lei [1 ]
Luo, Gan [3 ]
Ma, Weichun [1 ]
Yu, Qi [1 ]
Huang, Cheng [6 ]
Li, Li [6 ]
Chen, Limin [1 ]
机构
[1] Fudan Univ, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200438, Peoples R China
[2] SIEC, 3663 Northern Zhongshan Rd, Shanghai 200062, Peoples R China
[3] SUNY Albany, Atmospher Sci Res Ctr, 251 Fuller Rd, Albany, NY 12203 USA
[4] Fudan Univ, Inst Atmospher Sci, Shanghai 200438, Peoples R China
[5] Fudan Univ, Data Inst Carbon Emiss & Environm Pollut, Shanghai 200433, Peoples R China
[6] Shanghai Acad Environm Sci, Shanghai 200233, Peoples R China
[7] Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, Nanjing 210044, Jiangsu, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
IONIZATION MASS-SPECTROMETER; YANGTZE-RIVER DELTA; SULFURIC ACID-AMINE; PARTICLE FORMATION; AEROSOL FORMATION; NUCLEATION; ATMOSPHERE; GROWTH; DIMETHYLAMINE; CHEMISTRY;
D O I
10.5194/acp-18-7933-2018
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Amines have received increasing attention in recent years because of their potential role in new particle formation in the atmosphere and their impact on aerosol chemistry. High concentrations of amines are expected to be limited to the vicinity of source regions due to their short lifetime, highlighting the necessity of having a better understanding of contributions of emissions from different source types. This study presents the first high-resolution model simulation of concentrations of methylamines on a regional scale over the Yangtze River Delta region in East China. The WRF-Chem with nested grids is used in model simulations. In contrast to the very limited existing modeling studies that assumed a fixed ratio (FR) of amines to total ammonia emission, we derive source-dependent ratios (SDR) that distinguish C1-amine (CH3NH2), C2-amines (C2H7N), C3-amines (C3H9N) emissions from five different source types (agriculture, residential, transportation, chemical industry, and other industry). The amines-to-ammonia mass emission ratios, estimated from previous measurements, are 0.026, 0.0015, 0.0011, 0.0011, and 0.0011 for C1-amine; 0.007, 0.0018, 0.0015, 0.01, and 0.0009 for C2-amines; and 0.0004, 0.0005, 0.00043, 0.0006, and 0.0004 for C3-amines for chemical-industrial, other industrial, agricultural, resi-dential, and transportational sources, respectively. The simulated concentrations of C1-, C2-, and C3-amines, based on both FR and SDR, have been compared with field measurements at a suburban site in Nanjing and at an urban site in Shanghai, China. SDR substantially improves the ability of the model in capturing the observed concentrations of methylamines. Concentrations of C1-, C2-, and C3-amines in the surface layer in the Yangtze River Delta region are generally in the range of 2-20, 5-50, and 0.5-4 pptv. Vertically, the concentrations of C1-, C2-, and C3-amines decrease quickly with altitude, dropping by a factor of similar to 10 from the surface to similar to 900 hPa. Results from the present study are critical to evaluating potential roles of amines in nucleation and chemical processes in polluted air.
引用
收藏
页码:7933 / 7950
页数:18
相关论文
共 50 条
  • [31] High-resolution remote sensing-based spatial modeling for the prediction of potential risk areas of schistosomiasis in the Dongting Lake area, China
    Xue, Jing-Bo
    Xia, Shang
    Zhang, Li-Juan
    Abe, Eniola Michael
    Zhou, Jie
    Li, Yi-Yi
    Hao, Yu-Wan
    Wang, Qiang
    Xu, Jing
    Li, Shi-Zhu
    Zhou, Xiao-Nong
    [J]. ACTA TROPICA, 2019, 199 : 105102
  • [32] High-resolution remote sensing-based spatial modeling for the prediction of potential risk areas of schistosomiasis in the Dongting Lake area, China
    Xue, Jing-Bo
    Xia, Shang
    Zhang, Li-Juan
    Abe, Eniola Michael
    Zhou, Jie
    Li, Yi-Yi
    Hao, Yu-Wan
    Wang, Qiang
    Xu, Jing
    Li, Shi-Zhu
    Zhou, Xiao-Nong
    [J]. ACTA TROPICA, 2019, 198
  • [33] Summer monsoon precipitation variations in central China over the past 750 years derived from a high-resolution absolute-dated stalagmite
    Tan, Liangcheng
    Cai, Yanjun
    Cheng, Hai
    An, Zhisheng
    Edwards, R. Lawrence
    [J]. PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 2009, 280 (3-4) : 432 - 439
  • [34] Satellite-based view of the aerosol spatial and temporal variability in the Cordoba region (Argentina) using over ten years of high-resolution data
    Sofia Della Ceca, Lara
    Garcia Ferreyra, Maria Fernanda
    Lyapustin, Alexei
    Chudnovsky, Alexandra
    Otero, Lidia
    Carreras, Hebe
    Barnaba, Francesca
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 145 : 250 - 267
  • [35] Evaluation of multi-RCM high-resolution hindcast over the CORDEX East Asia Phase II region: Mean, annual cycle and interannual variations
    Yu, Ke
    Hui, Pinhong
    Zhou, Weidan
    Tang, Jianping
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2020, 40 (04) : 2134 - 2152
  • [36] High-Resolution Land Surface Modeling of Hydrological Changes Over the Sanjiangyuan Region in the Eastern Tibetan Plateau: 1. Model Development and Evaluation
    Yuan, Xing
    Ji, Peng
    Wang, Linying
    Liang, Xin-Zhong
    Yang, Kun
    Ye, Aizhong
    Su, Zhongbo
    Wen, Jun
    [J]. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2018, 10 (11) : 2806 - 2828
  • [37] Multi-scale evaluation of six high-resolution satellite monthly rainfall estimates over a humid region in China with dense rain gauges
    Hu, Qingfang
    Yang, Dawen
    Li, Zhe
    Mishra, Ashok K.
    Wang, Yintang
    Yang, Hanbo
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (04) : 1272 - 1294
  • [38] Analyzing Temporal and Spatial Characteristics and Determinant Factors of Energy-Related CO2 Emissions of Shanghai in China Using High-Resolution Gridded Data
    Zhu, Hanxiong
    Pan, Kexi
    Liu, Yong
    Chang, Zheng
    Jiang, Ping
    Li, Yongfu
    [J]. SUSTAINABILITY, 2019, 11 (17)
  • [39] High-resolution spatiotemporal inference of urban road traffic emissions using taxi GPS and multi-source urban features data: a case study in Chengdu, China
    Jiaxing Li
    Chaozhe Jiang
    Ke Han
    Qing Yu
    Haoran Zhang
    [J]. Urban Informatics, 3 (1):
  • [40] High-resolution carbon emission mapping and spatial-temporal analysis based on multi-source geographic data: A case study in Xi'an City, China☆
    Liu, Ziyan
    Han, Ling
    Liu, Ming
    [J]. ENVIRONMENTAL POLLUTION, 2024, 361