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Author:

Wen, C. (Wen, C..) | Lang, J. (Lang, J..) | Zhou, Y. (Zhou, Y..) | Fan, X. (Fan, X..) | Bian, Z. (Bian, Z..) | Chen, D. (Chen, D..) | Tian, J. (Tian, J..) | Wang, P. (Wang, P..)

Indexed by:

EI Scopus SCIE

Abstract:

Non-road mobile sources (NRMS) are potential important contributors to air pollution in China. However, their extreme impact on air quality had been seldom studied. In this study, the emission inventory of NRMS in mainland China during 2000–2019 was established. Then, the validated WRF-CAMx-PSAT model was applied to simulate the contribution to the atmospheric PM2.5, NO3−, and NOx. Results showed that emissions increased rapidly since 2000 and reached a peak in 2014–2015, with an annual average change rate (AACR) of 8.7–10.0%; after then, the emissions were relatively stable (AACR, −1.4–1.5%). The modeling results indicated that NRMS has become a crucial contributor to the air quality in China: from 2000 to 2019, the contribution to PM2.5, NOx, and NO3− significantly increased by 131.1%, 43.9%, and 61.7%; and for NOx, the contribution ratio in 2019 reached 24.1%. Further analysis showed that the reduction (−0.8% and −0.5%) of the NOx and NO3− contribution ratios was much lower than that (−4.8%) of NOx emissions from 2015 to 2019, implying that the control of NRMS lagged behind the national overall pollution control level. The contribution ratio of agricultural machinery (AM) and construction machinery (CM) to PM2.5, NOx, NO3− in 2019 was 2.6%, 11.3%, 8.3% and 2.5%, 12.6%, 6.8%, respectively. Although the contribution was much lower, the contribution ratio of civil aircraft had the fastest growth (202–447%). Moreover, an interesting phenomenon was that AM and CM had opposite contribution sensitivity characteristics for air pollutants: CM had a higher Contribution Sensitivity Index (CSI) for primary pollutants (e.g., NOx), ∼1.1 times that of AM; while AM had a higher CSI for secondary pollutants (e.g., NO3−), ∼1.5 times that of CM. This work can provide a deeper understanding for the environmental impact of NRMS emissions and for the control strategy formulation of NRMS. © 2023 Elsevier Ltd

Keyword:

Emission Inter-annual contribution Non-road mobile source CAMx-PSAT Construction machinery Agricultural machinery

Author Community:

  • [ 1 ] [Wen C.]Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Lang J.]Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Lang J.]Beijing Laboratory for Intelligent Environmental Protection, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Zhou Y.]Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Fan X.]Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Bian Z.]Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Chen D.]Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China
  • [ 8 ] [Tian J.]Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China
  • [ 9 ] [Wang P.]Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China

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Source :

Environmental Pollution

ISSN: 0269-7491

Year: 2023

Volume: 324

8 . 9 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:17

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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