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Author:

Ye, Zhilan (Ye, Zhilan.) | Li, Jie (Li, Jie.) | Pan, Yuepeng (Pan, Yuepeng.) | Wang, Zifa (Wang, Zifa.) | Guo, Xiurui (Guo, Xiurui.) | Cheng, Long (Cheng, Long.) | Tang, Xiao (Tang, Xiao.) | Zhu, Jiang (Zhu, Jiang.) | Kong, Lei (Kong, Lei.) | Song, Yu (Song, Yu.) | Xing, Jia (Xing, Jia.) | Sun, Yele (Sun, Yele.) | Pan, Xiaole (Pan, Xiaole.)

Indexed by:

EI Scopus SCIE

Abstract:

Secondary inorganic aerosols (SIA) account for 20-60% of the total fine particulates in the Beijing-Tianjin-Hebei (BTH) region of China, indicating an urgent need to clarify the relationship among such compounds. The purpose of this study was to quantify the relationship between emissions of NH3, NOx, SO2, VOCs and SIA concentrations during a severe winter haze episode using an air quality model and a meteorology-based redistributed NH3 emission inventory within the BTH region. The results showed that the model performance regarding the NH3 simulations in January by the four emission inventories improved after the redistribution of daily NH3 emissions, with an increase of 0.02-0.13 in R, a 9-56% decrease in NMB, and a 7-51% decrease in NME. The updated simulations reproduced the daily observations of SIA, SO2, and NO2 well. A total of 125 sets of sensitivity simulations showed that a synergistic reduction in NH3 and VOCs was more efficient in terms of SIA control than simply reducing SO2 or NOx in the Bill region. If only NOx emissions were reduced, the SIA concentration would first increase and then decrease, and it could decline by another 0.86-8.03% in parallel with an equal NH3 emission cut. SIA could be reduced by approximately 22.68% with the most stringent inorganic precursors' control. Moreover, VOCs emission reductions could lead to a decrease in SIA, and the impact of VOCs on SIA was similar to that of NH3. The collaborative control of both inorganic precursors and VOCs was more effective than single-factor control measures for decreasing SIA, and the decline rate was approximately 29.26% under minimum emission conditions. This improved effectiveness was obtained because VOCs mitigation effectively decreases the ozone concentration, which in turn influences SIA formation. Finally, on the premise of a 60% SO2 cut, the reduction scheme NH3:VOCs:NOx = 4:4:1 was suggested for SIA control.

Keyword:

Response relationship WRF-CMAQ Ammonia emission Secondary inorganic aerosols

Author Community:

  • [ 1 ] [Ye, Zhilan]Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
  • [ 2 ] [Li, Jie]Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
  • [ 3 ] [Pan, Yuepeng]Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
  • [ 4 ] [Wang, Zifa]Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
  • [ 5 ] [Tang, Xiao]Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
  • [ 6 ] [Zhu, Jiang]Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
  • [ 7 ] [Kong, Lei]Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
  • [ 8 ] [Sun, Yele]Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
  • [ 9 ] [Pan, Xiaole]Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
  • [ 10 ] [Guo, Xiurui]Beijing Univ Technol, Coll Environm & Energy Engn, Key Lab Beijing Reg Air Pollut Cannel, Beijing 100124, Peoples R China
  • [ 11 ] [Cheng, Long]Beijing Univ Technol, Coll Environm & Energy Engn, Key Lab Beijing Reg Air Pollut Cannel, Beijing 100124, Peoples R China
  • [ 12 ] [Song, Yu]Peking Univ, Dept Environm Sci, Stare Key Joint Lab Environm Simulat & Pollut Con, Beijing 100871, Peoples R China
  • [ 13 ] [Xing, Jia]Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China

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Source :

SCIENCE OF THE TOTAL ENVIRONMENT

ISSN: 0048-9697

Year: 2022

Volume: 821

9 . 8

JCR@2022

9 . 8 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:47

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 14

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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