Impact of mixing layer height on air quality in winter

Murthy, B. S.; Latha, R.; Tiwari, Arpit; Rathod, Aditi; Singh, Siddhartha; Beig, Gufran

doi:10.1016/j.jastp.2019.105157

Cited by 57 publications

(33 citation statements)

References 43 publications

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“…In other words, a higher PBLH leads to lower concentrations. For example, Murthy et al (2020) found that PM 2.5 concentration decreased by up to 14 µg m −3 for a 100 m increase in the PBLH. Figure 12 also shows the interactions between the PBLH and PM 2.5 concentration at the location of the US Embassy.…”

Section: Sensitivity To Changes In Biomass Burning Emission Inventoriesmentioning

confidence: 99%

“…However, a measured PBLH dataset can provide better insights. As a result, another study is required to compare modeled PBL heights to observed data (e.g., Nakoudi et al, 2019) and study the effects of different PBL parameterization modules on aerosol concentrations. Vertical profiles for other experiments using FINN can be found in the Supplement (Fig.…”

Section: Sensitivity To Changes In Biomass Burning Emission Inventoriesmentioning

confidence: 99%

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Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017

Roozitalab

Carmichael

Guttikunda³

2021

Atmos. Chem. Phys.

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Abstract. The Indo-Gangetic Plain (IGP) experienced an intensive air pollution episode during November 2017. Weather Research and Forecasting model coupled to Chemistry (WRF-Chem), a coupled meteorology–chemistry model, was used to simulate this episode. In order to capture PM2.5 peaks, we modified input chemical boundary conditions and biomass burning emissions. The Community Atmosphere Model with Chemistry (CAM-chem) and Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) global models provided gaseous and aerosol chemical boundary conditions, respectively. We also incorporated Visible Infrared Imaging Radiometer Suite (VIIRS) active fire points to fill in missing fire emissions in the Fire INventory from NCAR (FINN) and scaled by a factor of 7 for an 8 d period. Evaluations against various observations indicated the model captured the temporal trend very well although missed the peaks on 7, 8, and 10 November. Modeled aerosol composition in Delhi showed secondary inorganic aerosols (SIAs) and secondary organic aerosols (SOAs) comprised 30 % and 27 % of total PM2.5 concentration, respectively, during November, with a modeled OC/BC ratio of 2.72. Back trajectories showed agricultural fires in Punjab were the major source for extremely polluted days in Delhi. Furthermore, high concentrations above the boundary layers in vertical profiles suggested either the plume rise in the model released the emissions too high or the model did not mix the smoke down fast enough. Results also showed long-range-transported dust did not affect Delhi's air quality during the episode. Spatial plots showed averaged aerosol optical depth (AOD) of 0.58 (±0.4) over November. The model AODs were biased high over central India and low over the eastern IGP, indicating improving emissions in the eastern IGP can significantly improve the air quality predictions. We also found high ozone concentrations over the domain, which indicates ozone should be considered in future air quality management strategies alongside particulate matter.

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Section: Sensitivity To Changes In Biomass Burning Emission Inventoriesmentioning

confidence: 99%

Section: Sensitivity To Changes In Biomass Burning Emission Inventoriesmentioning

confidence: 99%

Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017

Roozitalab

Carmichael

Guttikunda³

2021

Atmos. Chem. Phys.

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“…However, the highest amounts of PM 2.5 are normally recorded during winter. The increase of PM concentration in the cold period of the year is due not only to the increased emissions from additional sources, such as domestic heating, but rather also to the decrease in the thickness of the mixing layer ( Murthy et al, 2019 ). These episodes may result in notable health consequences.…”

Section: Resultsmentioning

confidence: 99%

Airborne magnetic nanoparticles may contribute to COVID-19 outbreak: Relationships in Greece and Iran

Martínez-Boubeta

Simeonidis

2022

Environmental Research

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This work attempts to shed light on whether the COVID-19 pandemic rides on airborne pollution. In particular, a two-city study provides evidence that PM 2.5 contributes to the timing and severity of the epidemic, without adjustment for confounders. The publicly available data of deaths between March and October 2020, updated it on May 30, 2021, and the average seasonal concentrations of PM 2.5 pollution over the previous years in Thessaloniki, the second-largest city of Greece, were investigated. It was found that changes in coronavirus-related deaths follow changes in air pollution and that the correlation between the two data sets is maximized at the lag time of one month. Similar data from Tehran were gathered for comparison. The results of this study underscore that it is possible, if not likely, that pollution nanoparticles are related to COVID-19 fatalities (Granger causality, p < 0.05), contributing to the understanding of the environmental impact on pandemics.

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“…For cases with relatively stronger wind speed (≥4 m•s −1 ), on the other hand, the wind direction was predominantly from the south or west, resulting in the transportation of marine aerosols from Tokyo Bay. The formation of the nocturnal boundary layer and the subsequent increase in the BLH due to the insolation also affect the aerosol concentration in the lowest part of the troposphere [17,[66][67][68]. Below, we will discuss how the values of α ext and SSA are affected by various meteorological parameters by considering three different sky conditions: clear (i.e., insolation in the daytime), cloudy (stable atmosphere) and rainy.…”

Section: One-month Variations Of α Ext and Ssamentioning

confidence: 99%

Surface Aerosol Properties Studied Using a Near-Horizontal Lidar

et al. 2019

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Studying near-surface aerosol properties is of importance for a better assessment of the aerosol effect on radiative forcing. We employ the data from a near-horizontal lidar to investigate the diurnal behavior of aerosol extinction and single scattering albedo (SSA) at 349 nm. The response of these parameters to ambient relative humidity (RH) is examined for the data from a one-month campaign conducted in Chiba, Japan, during November 2017, a transition period from fall to winter. The Klett method and adaptive slope method are used in deriving the aerosol extinction coefficient from the lidar data, while the SSA values are retrieved using an aethalometer. Also, a visibility-meter is used to examine the aerosol loading inside the atmospheric boundary layer. It is found that the aerosol growth during the deliquescence phase is more readily observed than the contraction in the efflorescence phase. The decrease of SSA before the deliquescence RH is found for approximately 46% of the deliquescence cases, presumably representing the particle shrinkage of soot particles.

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Impact of mixing layer height on air quality in winter

Cited by 57 publications

References 43 publications

Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017

Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017

Airborne magnetic nanoparticles may contribute to COVID-19 outbreak: Relationships in Greece and Iran

Surface Aerosol Properties Studied Using a Near-Horizontal Lidar

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