Assessment of Emission Reduction and Meteorological Change in PM<sub>2.5</sub> and Transport Flux in Typical Cities Cluster during 2013–2017
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...
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doaj-93ab71b5db884c038cbad24fa9f880142021-06-01T00:27:05ZengMDPI AGSustainability2071-10502021-05-01135685568510.3390/su13105685Assessment of Emission Reduction and Meteorological Change in PM<sub>2.5</sub> and Transport Flux in Typical Cities Cluster during 2013–2017Panbo Guan0Hanyu Zhang1Zhida Zhang2Haoyuan Chen3Weichao Bai4Shiyin Yao5Yang Li6Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, ChinaSchool of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, ChinaKey Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, ChinaKey Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, ChinaKey Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, ChinaKey Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, ChinaChina Huadian Engineering Co., Ltd., Beijing 100160, ChinaUnder 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<sub>2.5</sub> flux distribution. The results showed that the PM<sub>2.5</sub> 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<sup>3</sup> and 1.1–3.6 μg/m<sup>3</sup>) and favorable in 2016 (contribution concentration −1.5 μg/m<sup>3</sup> and −0.2 μg/m<sup>3</sup>). 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.https://www.mdpi.com/2071-1050/13/10/5685WRF-CAMxtransport fluxmeteorological changesanthropogenic discharge |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Panbo Guan Hanyu Zhang Zhida Zhang Haoyuan Chen Weichao Bai Shiyin Yao Yang Li |
spellingShingle |
Panbo Guan Hanyu Zhang Zhida Zhang Haoyuan Chen Weichao Bai Shiyin Yao Yang Li Assessment of Emission Reduction and Meteorological Change in PM<sub>2.5</sub> and Transport Flux in Typical Cities Cluster during 2013–2017 Sustainability WRF-CAMx transport flux meteorological changes anthropogenic discharge |
author_facet |
Panbo Guan Hanyu Zhang Zhida Zhang Haoyuan Chen Weichao Bai Shiyin Yao Yang Li |
author_sort |
Panbo Guan |
title |
Assessment of Emission Reduction and Meteorological Change in PM<sub>2.5</sub> and Transport Flux in Typical Cities Cluster during 2013–2017 |
title_short |
Assessment of Emission Reduction and Meteorological Change in PM<sub>2.5</sub> and Transport Flux in Typical Cities Cluster during 2013–2017 |
title_full |
Assessment of Emission Reduction and Meteorological Change in PM<sub>2.5</sub> and Transport Flux in Typical Cities Cluster during 2013–2017 |
title_fullStr |
Assessment of Emission Reduction and Meteorological Change in PM<sub>2.5</sub> and Transport Flux in Typical Cities Cluster during 2013–2017 |
title_full_unstemmed |
Assessment of Emission Reduction and Meteorological Change in PM<sub>2.5</sub> and Transport Flux in Typical Cities Cluster during 2013–2017 |
title_sort |
assessment of emission reduction and meteorological change in pm<sub>2.5</sub> and transport flux in typical cities cluster during 2013–2017 |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2021-05-01 |
description |
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<sub>2.5</sub> flux distribution. The results showed that the PM<sub>2.5</sub> 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<sup>3</sup> and 1.1–3.6 μg/m<sup>3</sup>) and favorable in 2016 (contribution concentration −1.5 μg/m<sup>3</sup> and −0.2 μg/m<sup>3</sup>). 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. |
topic |
WRF-CAMx transport flux meteorological changes anthropogenic discharge |
url |
https://www.mdpi.com/2071-1050/13/10/5685 |
work_keys_str_mv |
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