Trends of Planetary Boundary Layer Height Over Urban Cities of China From 1980–2018

Huo, Yanfeng; Wang, Yonghong; Paasonen, Pauli; Liu, Quan; Tang, Guiqian; Ma, Yuanyuan; Petäj̈ä, Tuukka; Kerminen, V.-M.; Kulmala, Markku

doi:10.3389/fenvs.2021.744255

Cited by 11 publications

(2 citation statements)

References 26 publications

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“…Particulate matter was mainly distributed in the PBL and with high variability in the concentration. Figure 6b shows that the standard deviation of the extinction coefficient was larger below 1500 m, and decreased rapidly above 1500 m, which is similar to the PBLH found by Huo et al [33] in spring in eastern China. During the daytime, air pollutants within the PBL are well mixed by convection induced by the surface heating.…”

Section: Boundary Layersupporting

confidence: 84%

Lidar- and UAV-Based Vertical Observation of Spring Ozone and Particulate Matter in Nanjing, China

Zhao

Wang

et al. 2022

Remote Sensing

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The rapid urbanization in China is accompanied by increasingly serious air pollution. Particulate matter and ozone are the main air pollutants, and the study of their vertical distribution and correlation plays an important role in the synergistic air pollution control. In this study, we performed Lidar- and UAV-based observations in spring in Nanjing, China. The average concentrations of surface ozone and PM2.5 during the observation period are 87.78 µg m−3 and 43.48 µg m−3, respectively. Vertically, ozone reaches a maximum in the upper boundary layer, while the aerosol extinction coefficient decreases with height. Generally, ozone and aerosol are negatively correlated below 650 m. The correlation coefficient increases with altitude and reaches a maximum of 0.379 at 1875 m. Within the boundary layer, ozone and aerosols are negatively correlated on days with particulate pollution (PM2.5 > 35 μg m−3), while on clean days they are positively correlated. Above the boundary layer, the correlation coefficient is usually positive, regardless of the presence of particulate pollution. The UAV study compensates for Lidar detections below 500 m. We found that ozone concentration is higher in the upper layers than in the near-surface layers, and that ozone depletion is faster in the near-surface layers after sunset.

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Section: Boundary Layersupporting

confidence: 84%

Lidar- and UAV-Based Vertical Observation of Spring Ozone and Particulate Matter in Nanjing, China

Zhao

Wang

et al. 2022

Remote Sensing

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“…Scholars have also used various models to calculate the SBLH, but these models lack universality and applicability when interpreting selected datasets [22][23][24]. Among these methods, the Rib method is applicable throughout the day, so it is popular and has been widely used in recent research [9,[25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Height of the Stable Boundary Layer in Summer and Its Influencing Factors in the Taklamakan Desert Hinterland

Yang,

Shu,

Wang

et al. 2024

Remote Sensing

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Stable boundary layer height (SBLH) is an important parameter to characterize the characteristics and vertical structure of the nocturnal lower atmosphere at night. The distribution of SBLH has obvious spatial and temporal differences, and there are many meteorological factors affecting the SBLH, but at present, there are few quantitative studies on the effects of near-surface meteorological factors on the SBLH in the desert hinterland. This study was based on GPS sounding balloon data, near-surface meteorological observation data, and ERA5 data from Tazhong Station (TZ) in the Taklamakan Desert (TD) collected in July 2017, 2019, and 2021. The variation characteristics of the SBLH and its relationship with near-surface meteorological factors are described. We quantitatively analyzed the degree of influence of near-surface meteorological factors affecting the SBLH and verified it using a model. The study also elucidates the possible formation mechanism of the SBLH in the TD hinterland. The SBLH in the TD hinterland trended upward in July 2017, 2019, and 2021, which is consistent with the changes in meteorological factors, according to the near-surface meteorological observation and ERA5 data. Therefore, we think that an inherent connection exists between near-surface meteorological factors and the SBLH. The results of correlation analysis show that complex internal connections and interactions exist among the meteorological factors near the ground; some thermal, dynamic, and other meteorological factors strongly correlate with the SBLH. Having established the change in SBLH (ΔSBLH) and in major thermal, dynamic, and other meteorological factors (Δ), the linear regression equation between them revealed that near-surface meteorological factors can affect the SBLH. The dynamic factors have a stronger influence on the ΔSBLH than thermal and other factors. The results of model validation based on the variable importance projection (VIP) also confirmed that the SBLH in the TD hinterland is jointly affected by dynamic and thermal factors, but the dynamic factors have a stronger impact. The mechanism through which the SBLH forms is relatively complex. At night, surface radiative cooling promotes the formation of a surface inversion layer, and low-level jets strengthen wind shear, reducing atmospheric stability. The combined effects of heat and dynamics play an important role in dynamically shaping the SBLH. This study helps us with accurately predicting and understanding the characteristics of the changes in and the factors influencing the SBLH in the TD hinterland, providing a reference for understanding the mechanism through which the SBLH forms in this area. At the same time, it provides a scientific basis for regional weather and climate simulation, meteorological disaster defense, air quality forecasting, and model parameterization improvement.

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Correlation Between Relative Humidity and Particulate Matter During the Ongoing of Pandemic: A Systematic Review

Tanatachalert,

Jumlongkul

2023

Aerosol Sci Eng

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Trends of Planetary Boundary Layer Height Over Urban Cities of China From 1980–2018

Cited by 11 publications

References 26 publications

Lidar- and UAV-Based Vertical Observation of Spring Ozone and Particulate Matter in Nanjing, China

Lidar- and UAV-Based Vertical Observation of Spring Ozone and Particulate Matter in Nanjing, China

Analysis of Height of the Stable Boundary Layer in Summer and Its Influencing Factors in the Taklamakan Desert Hinterland

Correlation Between Relative Humidity and Particulate Matter During the Ongoing of Pandemic: A Systematic Review

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