Mutation test and multiple-wavelet coherence of PM2.5 concentration in Guiyang, China

Li, Song; Liu, Nanjian; Tang, Linfeng; Zhang, Fengtai; Jinhuan, Liu; Liu, Jinke

doi:10.1007/s11869-021-00994-z

Cited by 7 publications

(4 citation statements)

References 36 publications

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“…It is generally accepted by researchers that anthropogenic emissions account for the short cycle (daily, weekly) of PM 2.5 and seasonal climatic factors account for the long cycle (monthly, quarterly, semiannually, annually) [ [46] , [47] , [48] ]. Still, there is no clear explanation for the formation of ozone periodicity.…”

Section: Resultsmentioning

confidence: 99%

Impact of the COVID-19 lockdown on typical ambient air pollutants: Cyclical response to anthropogenic emission reduction

Yao

Wang

Liu

et al. 2023

Heliyon

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Section: Resultsmentioning

confidence: 99%

Impact of the COVID-19 lockdown on typical ambient air pollutants: Cyclical response to anthropogenic emission reduction

Yao

Wang

Liu

et al. 2023

Heliyon

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“…Moreover, the amplitude of the response of PM 2.5 pollution to NO 2 is the fourth largest among all precursors, with PM 2.5 response values to NO 2 higher than +3 µg m −3 in parts of the Ji-Lu-Yu region in 2015. This may be due to the positive feedback of PM 2.5 pollution on NO 2 [33,62,63]. Compared with 2010, the NO 2 concentration (shown in Figure S5) in 2011-2012 in the central and southern NCP was lower, so the response value of PM 2.5 to NO 2 in 2011-2012 was negative.…”

Section: Pm 25 and O 3 Collaborative Pollution Response To Each Precu...mentioning

confidence: 94%

“…In addition to SO 2 , the amplitude of the PM 2.5 response to NO 2 was the second largest among all precursors, with values of the PM 2.5 response to NO 2 higher than +5 µg m −3 in western PRD in 2014. This may be due to the positive feedback of PM 2.5 pollution on NO 2 [33,62,63]. In 2011-2013, NO 2 concentration (shown in Figure S12) in the PRD was lower than that in 2010, so values of PM 2.5 response to NO 2 were negative in this region.…”

Section: Pm 25 and O 3 Collaborative Pollution Response To Each Precu...mentioning

confidence: 95%

“…Besides SO 2 and HCHO, the amplitude of the response of PM 2.5 pollution to NO 2 is the third largest among all precursors, with PM 2.5 response values to NO 2 higher than +5 µg m −3 in the central and southern YRD in 2015. This may be due to the positive feedback of PM 2.5 pollution on NO 2 [33,62,63]. Compared with 2010, the NO 2 concentration (shown in Figure S8) in 2011-2012 in the northeastern part of the YRD was lower, so the response value of PM 2.5 to NO 2 in 2011-2012 was negative in this region, while the NO 2 concentration in 2011-2012 in the central part of the YRD was higher, so the response value of PM 2.5 to NO 2 in 2011-2012 was positive in this region.…”

Section: Pm 25 and O 3 Collaborative Pollution Response To Each Precu...mentioning

confidence: 99%

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Quantitative Estimation of the Impacts of Precursor Emissions on Surface O3 and PM2.5 Collaborative Pollution in Three Typical Regions of China via Multi-Task Learning

Liu,

Ma,

Liu

et al. 2024

Sustainability

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The coordinated control of PM2.5 and O3 pollution has become a critical factor restricting the improvement of air quality in China. In this work, precursors and related influencing factors were utilized to establish PM2.5 and O3 estimation models in the North China Plain (NCP), the Yangzi River Delta (YRD), and the Pearl River Delta (PRD) using a multi-task-learning (MTL) model. The prediction accuracy of these three MTL models was high, with R2 values ranging from 0.69 to 0.83. Subsequently, these MTL models were used to quantitatively reveal the relative importance of each factor to PM2.5 and O3 collaborative pollution simultaneously. Precursors and meteorological factors were the two most critical influencing factors for PM2.5 and O3 pollution in three regions, with their relative importance values larger than 29.99% and 15.89%, respectively. Furthermore, these models were used to reveal the response of PM2.5 and O3 to each precursor in each region. In the NCP and the YRD, the two most important precursors of PM2.5 pollution are SO2 and HCHO, while the two most critical factors for O3 pollution are HCHO and NO2. Therefore, SO2 and VOC emissions reduction is the most important measure for PM2.5 pollution, while VOC and NO2 emission reduction is the most critical measure for O3 pollution in these two regions. In terms of the PRD, SO2 and NO2 are the most important precursors of PM2.5 pollution, while the most important precursors for O3 pollution are HCHO and SOX, respectively. Thus, NO2, SO2, and VOC emission reduction is the most critical measure for PM2.5 pollution, while VOC and NO2 emission reduction is the most critical measure for O3 pollution in the PRD. Overall, this study provides clues and references for the control of PM2.5 and O3 collaborative pollution in the NCP, the YRD, and the PRD.

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Investigation of the main PM2.5 sources and diffusion patterns and corresponding meteorological conditions by the wavelet analysis approach

Chi

Lin

2021

Atmospheric Pollution Research

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Mutation test and multiple-wavelet coherence of PM2.5 concentration in Guiyang, China

Cited by 7 publications

References 36 publications

Impact of the COVID-19 lockdown on typical ambient air pollutants: Cyclical response to anthropogenic emission reduction

Impact of the COVID-19 lockdown on typical ambient air pollutants: Cyclical response to anthropogenic emission reduction

Quantitative Estimation of the Impacts of Precursor Emissions on Surface O3 and PM2.5 Collaborative Pollution in Three Typical Regions of China via Multi-Task Learning

Investigation of the main PM2.5 sources and diffusion patterns and corresponding meteorological conditions by the wavelet analysis approach

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