The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model

Mainul Islam Mamun; Monirul Islam; Pallab Kumar Mondol

doi:doi:10.11648/j.ajrs.20140204.11

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The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model

Mainul Islam Mamun, Monirul Islam, Pallab Kumar Mondol

Published in American Journal of Remote Sensing (Volume 2, Issue 4)

Received: 29 September 2014 Accepted: 14 October 2014 Published: 20 October 2014

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Abstract

Atmospheric aerosols have constituted a crucial environmental and climate issue. There is lack of studies dealing with monitoring of aerosol patterns over Bangladesh. This review attempts to analyze the seasonal variations in AOD over Bangladesh during the period 2002-2011, using MODerate resolution Imaging Spectroradiometer (MODIS) Level 3 remote sensing data. A Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model is used to generate a backward trajectory in order to identify the origins of air masses, with the aim of understanding the spatio-temporal variability in aerosol concentration. Seasonal variations during the last decade show maximum AOD values during pre-monsoon season; while minimum AOD during post-monsoon. An evidence of decadal decreasing trend in AOD is found during monsoon season while all other seasons show increasing trends. High spatio-temporal variations of AOD are observed during different seasons in 2010. Back trajectory analysis indicates that Bangladesh is mainly affected by the pollutants and desert dust of India combining with sea salt particles blown from the Arabian Sea. The air masses are arriving at lower altitudes (500m, 1500m) mainly from western India and Indian subcontinent but at higher altitude (2500m) especially in winter season it comes from far western regions, such as Europe and various sub-Saharan regions of Africa. Different flow patterns of air masses during post-monsoon are observed that the air masses are arriving from southeast in the direction; in case of Sylhet division the sources of air masses are in the coastal regions of Thailand, border regions of Myanmar and China. These studies become helpful to understand the nature and influence of aerosols on seasonal dynamics over Bangladesh.

Published in	American Journal of Remote Sensing (Volume 2, Issue 4)
DOI	10.11648/j.ajrs.20140204.11
Page(s)	20-29
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Aerosol Optical Depth, MODIS, Seasonal Variations, HYSPLIT, Bangladesh

References

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APA Style

Mainul Islam Mamun, Monirul Islam, Pallab Kumar Mondol. (2014). The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model. American Journal of Remote Sensing, 2(4), 20-29. https://doi.org/10.11648/j.ajrs.20140204.11

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ACS Style

Mainul Islam Mamun; Monirul Islam; Pallab Kumar Mondol. The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model. Am. J. Remote Sens. 2014, 2(4), 20-29. doi: 10.11648/j.ajrs.20140204.11

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AMA Style

Mainul Islam Mamun, Monirul Islam, Pallab Kumar Mondol. The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model. Am J Remote Sens. 2014;2(4):20-29. doi: 10.11648/j.ajrs.20140204.11

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@article{10.11648/j.ajrs.20140204.11,
  author = {Mainul Islam Mamun and Monirul Islam and Pallab Kumar Mondol},
  title = {The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model},
  journal = {American Journal of Remote Sensing},
  volume = {2},
  number = {4},
  pages = {20-29},
  doi = {10.11648/j.ajrs.20140204.11},
  url = {https://doi.org/10.11648/j.ajrs.20140204.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20140204.11},
  abstract = {Atmospheric aerosols have constituted a crucial environmental and climate issue. There is lack of studies dealing with monitoring of aerosol patterns over Bangladesh. This review attempts to analyze the seasonal variations in AOD over Bangladesh during the period 2002-2011, using MODerate resolution Imaging Spectroradiometer (MODIS) Level 3 remote sensing data. A Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model is used to generate a backward trajectory in order to identify the origins of air masses, with the aim of understanding the spatio-temporal variability in aerosol concentration. Seasonal variations during the last decade show maximum AOD values during pre-monsoon season; while minimum AOD during post-monsoon. An evidence of decadal decreasing trend in AOD is found during monsoon season while all other seasons show increasing trends. High spatio-temporal variations of AOD are observed during different seasons in 2010. Back trajectory analysis indicates that Bangladesh is mainly affected by the pollutants and desert dust of India combining with sea salt particles blown from the Arabian Sea. The air masses are arriving at lower altitudes (500m, 1500m) mainly from western India and Indian subcontinent but at higher altitude (2500m) especially in winter season it comes from far western regions, such as Europe and various sub-Saharan regions of Africa. Different flow patterns of air masses during post-monsoon are observed that the air masses are arriving from southeast in the direction; in case of Sylhet division the sources of air masses are in the coastal regions of Thailand, border regions of Myanmar and China. These studies become helpful to understand the nature and influence of aerosols on seasonal dynamics over Bangladesh.},
 year = {2014}
}

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TY  - JOUR
T1  - The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model
AU  - Mainul Islam Mamun
AU  - Monirul Islam
AU  - Pallab Kumar Mondol
Y1  - 2014/10/20
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N1  - https://doi.org/10.11648/j.ajrs.20140204.11
DO  - 10.11648/j.ajrs.20140204.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 20
EP  - 29
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20140204.11
AB  - Atmospheric aerosols have constituted a crucial environmental and climate issue. There is lack of studies dealing with monitoring of aerosol patterns over Bangladesh. This review attempts to analyze the seasonal variations in AOD over Bangladesh during the period 2002-2011, using MODerate resolution Imaging Spectroradiometer (MODIS) Level 3 remote sensing data. A Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model is used to generate a backward trajectory in order to identify the origins of air masses, with the aim of understanding the spatio-temporal variability in aerosol concentration. Seasonal variations during the last decade show maximum AOD values during pre-monsoon season; while minimum AOD during post-monsoon. An evidence of decadal decreasing trend in AOD is found during monsoon season while all other seasons show increasing trends. High spatio-temporal variations of AOD are observed during different seasons in 2010. Back trajectory analysis indicates that Bangladesh is mainly affected by the pollutants and desert dust of India combining with sea salt particles blown from the Arabian Sea. The air masses are arriving at lower altitudes (500m, 1500m) mainly from western India and Indian subcontinent but at higher altitude (2500m) especially in winter season it comes from far western regions, such as Europe and various sub-Saharan regions of Africa. Different flow patterns of air masses during post-monsoon are observed that the air masses are arriving from southeast in the direction; in case of Sylhet division the sources of air masses are in the coastal regions of Thailand, border regions of Myanmar and China. These studies become helpful to understand the nature and influence of aerosols on seasonal dynamics over Bangladesh.
VL  - 2
IS  - 4
ER  -

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Author Information

Mainul Islam Mamun

Department of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi 6205, Bangladesh
Monirul Islam

Department of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi 6205, Bangladesh
Pallab Kumar Mondol

Department of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi 6205, Bangladesh

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APA Style

Mainul Islam Mamun, Monirul Islam, Pallab Kumar Mondol. (2014). The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model. American Journal of Remote Sensing, 2(4), 20-29. https://doi.org/10.11648/j.ajrs.20140204.11

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ACS Style

Mainul Islam Mamun; Monirul Islam; Pallab Kumar Mondol. The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model. Am. J. Remote Sens. 2014, 2(4), 20-29. doi: 10.11648/j.ajrs.20140204.11

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AMA Style

Mainul Islam Mamun, Monirul Islam, Pallab Kumar Mondol. The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model. Am J Remote Sens. 2014;2(4):20-29. doi: 10.11648/j.ajrs.20140204.11

Copy | Download

@article{10.11648/j.ajrs.20140204.11,
  author = {Mainul Islam Mamun and Monirul Islam and Pallab Kumar Mondol},
  title = {The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model},
  journal = {American Journal of Remote Sensing},
  volume = {2},
  number = {4},
  pages = {20-29},
  doi = {10.11648/j.ajrs.20140204.11},
  url = {https://doi.org/10.11648/j.ajrs.20140204.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20140204.11},
  abstract = {Atmospheric aerosols have constituted a crucial environmental and climate issue. There is lack of studies dealing with monitoring of aerosol patterns over Bangladesh. This review attempts to analyze the seasonal variations in AOD over Bangladesh during the period 2002-2011, using MODerate resolution Imaging Spectroradiometer (MODIS) Level 3 remote sensing data. A Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model is used to generate a backward trajectory in order to identify the origins of air masses, with the aim of understanding the spatio-temporal variability in aerosol concentration. Seasonal variations during the last decade show maximum AOD values during pre-monsoon season; while minimum AOD during post-monsoon. An evidence of decadal decreasing trend in AOD is found during monsoon season while all other seasons show increasing trends. High spatio-temporal variations of AOD are observed during different seasons in 2010. Back trajectory analysis indicates that Bangladesh is mainly affected by the pollutants and desert dust of India combining with sea salt particles blown from the Arabian Sea. The air masses are arriving at lower altitudes (500m, 1500m) mainly from western India and Indian subcontinent but at higher altitude (2500m) especially in winter season it comes from far western regions, such as Europe and various sub-Saharan regions of Africa. Different flow patterns of air masses during post-monsoon are observed that the air masses are arriving from southeast in the direction; in case of Sylhet division the sources of air masses are in the coastal regions of Thailand, border regions of Myanmar and China. These studies become helpful to understand the nature and influence of aerosols on seasonal dynamics over Bangladesh.},
 year = {2014}
}

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TY  - JOUR
T1  - The Seasonal Variability of Aerosol Optical Depth over Bangladesh Based on Satellite Data and HYSPLIT Model
AU  - Mainul Islam Mamun
AU  - Monirul Islam
AU  - Pallab Kumar Mondol
Y1  - 2014/10/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ajrs.20140204.11
DO  - 10.11648/j.ajrs.20140204.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 20
EP  - 29
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20140204.11
AB  - Atmospheric aerosols have constituted a crucial environmental and climate issue. There is lack of studies dealing with monitoring of aerosol patterns over Bangladesh. This review attempts to analyze the seasonal variations in AOD over Bangladesh during the period 2002-2011, using MODerate resolution Imaging Spectroradiometer (MODIS) Level 3 remote sensing data. A Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model is used to generate a backward trajectory in order to identify the origins of air masses, with the aim of understanding the spatio-temporal variability in aerosol concentration. Seasonal variations during the last decade show maximum AOD values during pre-monsoon season; while minimum AOD during post-monsoon. An evidence of decadal decreasing trend in AOD is found during monsoon season while all other seasons show increasing trends. High spatio-temporal variations of AOD are observed during different seasons in 2010. Back trajectory analysis indicates that Bangladesh is mainly affected by the pollutants and desert dust of India combining with sea salt particles blown from the Arabian Sea. The air masses are arriving at lower altitudes (500m, 1500m) mainly from western India and Indian subcontinent but at higher altitude (2500m) especially in winter season it comes from far western regions, such as Europe and various sub-Saharan regions of Africa. Different flow patterns of air masses during post-monsoon are observed that the air masses are arriving from southeast in the direction; in case of Sylhet division the sources of air masses are in the coastal regions of Thailand, border regions of Myanmar and China. These studies become helpful to understand the nature and influence of aerosols on seasonal dynamics over Bangladesh.
VL  - 2
IS  - 4
ER  -

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