Impact of biomass burning on regional aerosol optical properties: A case study over northern India

Shaik, Darga Saheb; Kant, Yogesh; Mitra, Debashis; Singh, Atinderpal; Chandola, H. C.; Sateesh, M.; Babu, S. Suresh; Chauhan, Prakash

doi:10.1016/j.jenvman.2019.04.025

Cited by 70 publications

(29 citation statements)

References 60 publications

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“…During the summer, Delhi receives natural dust aerosols from adjacent (e.g., Thar) and/or far-distance (Middle East) Desert regions ( Pandithurai et al, 2008 ; Srivastava et al, 2014 ). During the post-monsoon season, Delhi experiences worst air quality due to intense biomass burning in upwind states, Punjab and Haryana, and conducive meteorological conditions for accumulation of pollutants near the surface ( Kaskaoutis et al, 2014 ; Shaik et al, 2019 ; Kanawade et al, 2020 ; Kulkarni et al, 2020 ).…”

Section: Measurement Site and Experimental Detailsmentioning

confidence: 99%

Improved air quality during COVID-19 at an urban megacity over the Indo-Gangetic Basin: From stringent to relaxed lockdown phases

Srivastava¹,

Bhoyar

Kanawade

et al. 2021

Urban Climate

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The enforced lockdown amid COVID-19 pandemic eased anthropogenic activities across India. The satellite-derived aerosol optical depth (AOD) and absorption AOD showed a significant reduction of ~30% over the Indo-Gangetic Basin (IGB) in north India during the lockdown period in 2020 with respect to the previous year 2019, when no such lockdown was in effect. Further, near-surface air pollutants were investigated at an urban megacity Delhi during 01 March to 31 May 2020. Except O 3 , a drastic reduction in PM 10 , PM 2.5 , NO, NO 2 and CO concentrations were observed by ~58%, 47%, 76%, 68% and 58%, respectively during the lockdown period of 2020 as compared to 2019. While, O 3 was low in the initial phase and gradually increased with progression of lockdown phases, the mean O 3 during the entire lockdown period was nearly similar in both the years. Though, all the measured pollutants showed significant reduction during the entire lockdown, a phase-wise enhancement, associated with the conditional relaxations was observed in their concentrations. Thus, the present results may help, not only to assess the impact of outbreak on air quality, but also in designing the mitigation policies in urban megacities in more efficient ways to combat the air pollution problems.

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Section: Measurement Site and Experimental Detailsmentioning

confidence: 99%

Improved air quality during COVID-19 at an urban megacity over the Indo-Gangetic Basin: From stringent to relaxed lockdown phases

Srivastava¹,

Bhoyar

Kanawade

et al. 2021

Urban Climate

View full text Add to dashboard Cite

show abstract

“…Aerosols in the atmosphere can affect the earth's climate by absorbing and scattering solar radiation (direct effect of aerosols) (Huang et al, 2014;Wang et al, 2013) or acting as cloud condensation nuclei, which can affect cloud physical properties and precipitation (indirect effect of aerosols) (Huang et al, 2006;Liu et al, 2019a, b;Yan and Wang, 2020). In general, the vertical distribution information of aerosols is required to improve our understanding of aerosol climate effects (Ferrare et al, 2001;Sicard et al, 2011). For example, Wang et al (2020b) found that dust-forced radiative heating decreased significantly as the transport height of dust aerosols decreased.…”

Section: Introductionmentioning

confidence: 99%

Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements

Liu

Chen

et al. 2021

Atmos. Chem. Phys.

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Abstract. Accurate lidar ratio (LR) and better understanding of its variation characteristics can not only improve the retrieval accuracy of parameters from elastic lidar, but also play an important role in assessing the impacts of aerosols on climate. Using the observational data of a Raman lidar in Shanghai from 2017 to 2019, LRs at 355 nm were retrieved and their variations and influence factors were analyzed. Within the height range of 0.5–5 km, about 90 % of the LRs were distributed in 10–80 sr with an average value of 41.0 ± 22.5 sr, and the LR decreased with the increase in height. The volume depolarization ratio (δ) was positively correlated with LR, and it also decreased with the increase in height, indicating that the vertical distribution of particle shape was one of the influence factors of the variations in LR with height. LR had a strong dependence on the original source of air masses. Affected by the aerosols transported from the northwest, the average LR was the largest, 44.2 ± 24.7 sr, accompanied by the most irregular particle shape. The vertical distribution of LR was affected by atmospheric turbidity, with the greater gradient of LR under clean conditions. The LR above 1 km could be more than 80 sr, when Shanghai was affected by biomass burning aerosols.

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“…The AOD in Shanghai during these five days ranged from 0.45 to 1.05, pointing to the heavy aerosol pollution. The average value of AAOD was between 0.0375 and 0.1, and CAOD was between 0.12 and 0.24, which reasonably demonstrate the presence of absorbing aerosols and carbon aerosols in Shanghai (Shaik et al, 2019). In addition, the CO column concentrations in Shanghai for these five days were relatively high, all more https://doi.org/10.5194/acp-2020-1162 Preprint.…”

Section: The Main Aerosol Types Causing the Abnormal Variation Of Lrmentioning

confidence: 56%

“…For example, Huang et al (2012) found that the CO column concentration in the biological combustion zone was significantly different from that in the non-biomass burning zone. In addition, it would also result in high AOD and AAOD (absorbing aerosol optical depth) in the region due to the strong absorption of biomass burning aerosols (Shaik et al, 2019). For example, He et al (2015) found that the AOD at 500nm increased from 0.73 to 1.00 when analyzing the smoke plume of biomass burning in Shanghai.…”

Section: The Main Aerosol Types Causing the Abnormal Variation Of Lrmentioning

confidence: 99%

Study on variations in lidar ratios for Shanghai based on Raman lidar

Liu

Chen

et al. 2020

Preprint

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Abstract. Accurate Lidar ratios (LR) and better understanding of their variation characteristics can not only improve the retrieval accuracy of parameters from elastic lidar, but also play an important role in assessing the impacts of aerosols on the climate. Using the observational data of Raman lidar in Shanghai from 2017 to 2019, the LR at 355 nm were retrieved and their variations and influencing factors were analyzed. Within the height range of 0.5 km–5 km, about 90 % of the LR were distributed in 10 sr–80 sr with an average value of 41.0 ± 22.5 sr, and the LR decreased with the increase of height. The volume depolarization ratios (δ) were positively correlated with LR, and they also decreased with the increase of height, indicating that the vertical distribution of particle shape was one of the influencing factors of the variations of LR with height. LR had a strong dependence on the original source of the air masses. Affected by the aerosol transported from northwest of Shanghai, the average LR was the largest, 44.2 ± 24.7 sr, accompanied by the most irregular particle shape. The vertical distributions of LR were affected by the atmospheric turbidity, with the greater gradient of LR under the clean conditions. The LR above 1 km could be more than 80 sr, when Shanghai was affected by the biomass burning aerosols.

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Impact of biomass burning on regional aerosol optical properties: A case study over northern India

Cited by 70 publications

References 60 publications

Improved air quality during COVID-19 at an urban megacity over the Indo-Gangetic Basin: From stringent to relaxed lockdown phases

Improved air quality during COVID-19 at an urban megacity over the Indo-Gangetic Basin: From stringent to relaxed lockdown phases

Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements

Study on variations in lidar ratios for Shanghai based on Raman lidar

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