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Assessment of Emission Reduction and Meteorological Change in PM 2.5 and Transport Flux in Typical Cities Cluster during 2013–2017

Author

Listed:
  • Panbo Guan

    (Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China)

  • Hanyu Zhang

    (School of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China)

  • Zhida Zhang

    (Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China)

  • Haoyuan Chen

    (Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China)

  • Weichao Bai

    (Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China)

  • Shiyin Yao

    (Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China)

  • Yang Li

    (China Huadian Engineering Co., Ltd., Beijing 100160, China)

Abstract

Under the Air Pollution Prevention and Control Action Plan (APPCAP) implemented, China has witnessed an air quality change during the past five years, yet the main influence factors remain relatively unexplored. Taking the Beijing-Tianjin-Hebei (BTH) and Yangtze River Delta (YRD) regions as typical cluster cities, the Weather Research Forecasting (WRF) and Comprehensive Air Quality Model with Extension (CAMx) were introduced to demonstrate the meteorological and emission contribution and PM 2.5 flux distribution. The results showed that the PM 2.5 concentration in BTH and YRD significantly declined with a descend ratio of −39.6% and −28.1%, respectively. For the meteorological contribution, those regions had a similar tendency with unfavorable conditions in 2013–2015 (contribution concentration 1.6–3.8 μg/m 3 and 1.1–3.6 μg/m 3 ) and favorable in 2016 (contribution concentration −1.5 μg/m 3 and −0.2 μg/m 3 ). Further, the absolute value of the net flux’s intensity was positively correlated with the degree of the favorable/unfavorable weather conditions. When it came to emission intensity, the total net inflow flux increased, and the outflow flux decreased significantly across the border with the emission increasing. In short: the aforementioned results confirmed the effectiveness of the regional joint emission control and provided scientific support for the proposed effective joint control measures.

Suggested Citation

  • Panbo Guan & Hanyu Zhang & Zhida Zhang & Haoyuan Chen & Weichao Bai & Shiyin Yao & Yang Li, 2021. "Assessment of Emission Reduction and Meteorological Change in PM 2.5 and Transport Flux in Typical Cities Cluster during 2013–2017," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5685-:d:557540
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    Citations

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    Cited by:

    1. Tingchen Wu & Xiao Xie & Bing Xue & Tao Liu, 2021. "A Quantitative Modeling and Prediction Method for Sustained Rainfall-PM 2.5 Removal Modes on a Micro-Temporal Scale," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    2. Shengju Ou & Wei Wei & Bin Cai & Saisai Chen & Panbo Guan & Shuiyuan Cheng, 2022. "The Independent Impacts of PM 2.5 Dropping on the Physical and Chemical Properties of Atmosphere over North China Plain in Summer during 2015–2019," Sustainability, MDPI, vol. 14(7), pages 1-17, March.

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