Investigation of curvature effect of Ångström exponent to classify the aerosol types over the region of interest (88°-98° E and 20°-30° N)

Barman, Nilamoni; Saha, Biswajit; Roy, R.; Kundu, Shyam Sundar; Borgohain, Arup; Raju, P. L. N.

doi:10.1016/j.apr.2018.09.002

Cited by 6 publications

(7 citation statements)

References 52 publications

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“…The study region is chosen because it is of genuine research importance due to the simultaneous existence of a range of both natural and anthropogenic aerosols (e.g., sand dust, marine, forest re, industrial emission, etc.,) as reported in earlier works (Pathak et al 2015; Kundu et al 2018; Barman et al 2018; 2019) that makes the region hotspot for aerosol research. The station witnessed high precipitation throughout the monsoon every year and a larger water body nearby, causing a greater rate of evaporation/condensation over the study area.…”

Section: Introductionsupporting

confidence: 66%

“…The smaller aerosol particles (α 450−700 nm > 1.5) can be classi ed as a mixture of brown carbon and black carbon, but bigger ones (α 450−700 nm < 1) may be a mixture of soil or desert dust, corresponding to the "dust-mix" type. The aerosol type with α 450−700 nm < 1 is characterized by large particles with low spectral absorption (Barman et al, 2018). In the winter season, the transported aerosols and locally produced aerosols contributed to the total concentration and resulted in smaller α 450−700 nm (1.47 ± 0.13).…”

Section: Diurnal and Seasonal Variation Of Aerosol Optical Propertiesmentioning

confidence: 99%

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Observation and model simulation of aerosol optical properties and size distribution over the hilly terrain of Northeast India

Barman

Kundu

Borgohain

2023

Preprint

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The aerosol optical properties are studied at northeast India's high-altitude station. The aerosol total scattering at the station is influenced by the mountain valley wind circulation. The backward trajectory shows the pre-monsoon season is a transition period when the air mass transportation alters the direction from northwest to south direction. The dominance of biomass burning and other emissions over long-range transportation of particles contributed strongly to the aerosol loading, which caused the higher range of scattering Ångström exponent (α450−700 nm > 1.5) in the pre-monsoon, monsoon, and post-monsoon seasons. The α450−700 nm varies from 1.47 to 1.88, indicating that the fine aerosol particles with a radius of < 0.5 µm have dominance at the station. To estimate the backscatter fraction (bf) and Asymmetry Parameter (g), theoretical approximation (Sviridenkov 2017 and Kokhanovsky 2006) and model simulation (MieTab and Mieplot) are utilized. The bf and g are found to be in the range of 0.11–0.13 and 0.68 to 0.74, after comparison of this value with the model simulated particle size, observed that the radius varies from \(\approx\) 0.17 µm − 0.21 µm. The bf decreased from winter to monsoon season, while the g values enhanced, demonstrating a negative correlation. The bf value decreased owing to the less backscatter and higher forward scatter for bigger particles from winter to monsoon. Thus, the g values were smaller for higher bf values and associated with smaller aerosol particles and vice-versa.

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Section: Introductionsupporting

confidence: 66%

Section: Diurnal and Seasonal Variation Of Aerosol Optical Propertiesmentioning

confidence: 99%

Observation and model simulation of aerosol optical properties and size distribution over the hilly terrain of Northeast India

Barman

Kundu

Borgohain

2023

Preprint

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“…Borgohain et al ( 2019 ) characterized BC over 3 rural mountainous stations in Northern Arunachal Pradesh, and demonstrated high BC loading due to biomass burning over all the sites and transport of air mass from the IGP, Nepal, Bhutan, and the Brahmaputra valley due to the westerly wind. Many previous studies like Pathak et al ( 2012 , 2014 ), Bhuyan et al ( 2014 ), Gogoi et al ( 2017 ) and Barman et al ( 2018 , 2019 ) etc. have also shown air mass trajectories originating from the IGP, Bangladesh and West Asia which contributes to the increased level of pollution in the north eastern states.…”

Section: Resultsmentioning

confidence: 95%

“…BC also rises simultaneously. Cluster analysis of seasonal wind back trajectories showed that the majority of them are passed through the IGP and Bangladesh region, which is relatively polluted from industrial emissions, brick kiln releases, burning of fossil fuels, firewood, and cow dung burning and stubble (Barman et al, 2018 ; Kundu et al, 2018 ; Pathak et al, 2015 ). As evident by seasonal mean trajectories, gaseous pollutants, including BC, are being imported by the winds.…”

Section: Resultsmentioning

confidence: 99%

“…Dahutia et al ( 2018 ) reported the aerosol features and their climatic consequences over the region by employing numerous satellites and reanalysis datasets. The natural occurrences, as well as the anthropogenic sources, play a pivotal role in the evolution of aerosol particles over the region (Barman et al, 2018 ). Barman et al ( 2019 ) carried out a study at Agartala city (the capital of Tripura, a state in NER) and found that in pre-monsoon and monsoon seasons, biomass-burning aerosols are dominant, whereas fossil fuel combustion predominated in other seasons.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Biomass Burning on Black Carbon and NO2 Over North Eastern Region of India Using Multi-satellite Observations

Borgohain

Gogoi

Barman

et al. 2023

J Indian Soc Remote Sens

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Large scale biomass burning like forest fires and crop residue burning can significantly impact the physical environment, including land cover, land use, ecology, habitats, and climate change. We investigated the effect of fire counts on surface Black Carbon mass concentration (BCC) and Tropospheric Columnar NO 2 (TCN) over the North Eastern Region (NER) of India in the domain: 20° N–30° N and 88° E–98° E for 15 years from 2006 to 2020 using MODIS, MERRA-2 and OMI data. Significant fire counts are recorded in January, February, March, and April. An average of 65,000 fire counts is recorded in March and April during the 15 years of study over the domain. TCN is high in Mizoram, Manipur, and Nagaland, followed by Assam, Tripura, and Meghalaya in March and April, which varies from 18.79 × 10 14 to 29.08 × 10 14 cm −2 in March, 10.76 × 10 14 –15.81 × 10 14 cm −2 in January and February, and 12.67 × 10 14 –14.2 × 10 14 cm −2 in April. Spatially averaged BC varies from 1.80 to 2.76 µg m −3 in January and February and 1.82–2.36 µg m −3 in March. BCC is high in Mizoram, Tripura, Manipur, Nagaland, and Brahmaputra valley of Assam than in the rest of the NER.

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Observation and Model Simulation of Aerosol Optical Properties and Size Distribution Over the Hilly Terrain of Northeast India

Barman,

Kundu,

Borgohain

2024

Aerosol Sci Eng

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Investigation of curvature effect of Ångström exponent to classify the aerosol types over the region of interest (88°-98° E and 20°-30° N)

Cited by 6 publications

References 52 publications

Observation and model simulation of aerosol optical properties and size distribution over the hilly terrain of Northeast India

Observation and model simulation of aerosol optical properties and size distribution over the hilly terrain of Northeast India

Impact of Biomass Burning on Black Carbon and NO2 Over North Eastern Region of India Using Multi-satellite Observations

Observation and Model Simulation of Aerosol Optical Properties and Size Distribution Over the Hilly Terrain of Northeast India

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