Monitoring spatio-temporal aerosol patterns over Pakistan based on MODIS, TOMS and MISR satellite data and a HYSPLIT model

Alam, Khan; Qureshi, Salman; Blaschke, Thomas

doi:10.1016/j.atmosenv.2011.05.055

Cited by 161 publications

(95 citation statements)

References 46 publications

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“…These MODIS instruments are equally beneficial to look at atmospheric, terrestrial and ocean phenomenology to monitor various changes and collect statistics. These statistics are especially helpful to analyze aerosol concentrations and the impacts on cloud formation (Alam et al, 2011c(Alam et al, , 2014.…”

Section: The Moderate Resolution Imaging Spectroradiometer (Modis) Inmentioning

confidence: 99%

“…Dust storms and thunderstorms are characteristics of April, May, October and November (Prasad et al, 2004(Prasad et al, , 2005. In addition, local pollution in cities and industrial estates, like Karachi, Hyderabad, Nawabshah and Rohri also seen to have contributed to an increase in the aerosol concentrations in the studied region (Gupta et al, 2006;Alam et al, 2011c). On 15 January the air parcels at 2500 m originated from UAE and Oman arid regions and before reaching Karachi, Hyderabad, Nawabshah and Tharparkar traveled through the Arabian Sea.…”

Section: Analysis Of Influence Of Air Mass Trajectory On Aod Concentrmentioning

confidence: 99%

“…HYSPLIT has the ability to determine almost 40 forward or backward trajectories at different altitudes of 500, 1000, 1500, 2000, and 2500 (Alam et al, 2010(Alam et al, , 2011c. All backward trajectories in this study were calculated at 500, 1500 and 2500 m heights above ground level by the model archived from the website (http://ready.arl.noaa.gov/HYSP LIT.php).…”

Section: The Hybrid Single Particle Lagrangian Integrated Trajectory mentioning

confidence: 99%

“…MODIS data include daily, 8-day or 16-day composite images and products with different time scales. Several climatic parameters also retrieved at a spatial resolution of 5 km and 10 km from MODIS (Alam et al, 2010;Balakrishnaiah et al, 2010;Alam et al, 2011c;Alam et al, 2014). MODIS provides global coverage every 1 to 2 days.…”

Section: The Moderate Resolution Imaging Spectroradiometer (Modis) Inmentioning

confidence: 99%

“…This model computes air mass trajectories with several meteorological parameters like rainfall, relative humidity, ambient temperature and solar radiation flux (Alam et al, 2011c). This meteorological input for the trajectory model was processed as the FNL dataset and reprocessed from NOAA (National Oceanic and Atmospheric Administration) by ARL (Air Resource Laboratory) to understand air masses (Alam et al, 2010).…”

Section: The Hybrid Single Particle Lagrangian Integrated Trajectory mentioning

confidence: 99%

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Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Sharif

Alam

Afsar

2015

Aerosol Air Qual. Res.

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In this study, aerosols spatial, seasonal and temporal variations over Sindh, Pakistan were analyzed which can lead to variations in the microphysics of clouds as well. All cloud optical properties were analyzed using Moderate Resolution Imaging Spectroradiometer (MODIS) data for 12 years from 2001 to 2013. We also monitored origin and movements of air masses that bring aerosol particles and may be considered as the natural source of aerosol particles in the region. For this purpose, the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model was used to make trajectories of these air masses from their sources. Aerosol optical depth (AOD) high values were observed in summer during the monsoon period (June-August). The highest AOD values in July were recorded ranges from 0.41 to 1.46. In addition, low AOD values were found in winter season (December-February) particularly in December, ranges from 0.16 to 0.69. We then analyzed the relationship between AOD and Ångström exponent that is a good indicator of the size of an aerosol particle. We further described the relationships of AOD and four cloud parameters, namely water vapor (WV), cloud fraction (CF), cloud top temperature (CTT) and cloud top pressure (CTP) by producing regional correlation maps of their data values. The analyses showed negative correlation between AOD and Ångström exponent especially in central and western Sindh. The correlation between AOD and WV was throughout positive with high correlation values > 0.74 in whole Sindh except eastern most arid strip of the Thar Desert in the region. The correlation between AOD and CF was positive in southern Sindh and goes to negative in northern Sindh. AOD showed a positive correlation with CTP and CTT in northern Sindh and a negative correlation in southern Sindh. All these correlations were observed to be dependent on the meteorological conditions for all of the ten sites investigated.

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Section: The Moderate Resolution Imaging Spectroradiometer (Modis) Inmentioning

confidence: 99%

Section: Analysis Of Influence Of Air Mass Trajectory On Aod Concentrmentioning

confidence: 99%

Section: The Hybrid Single Particle Lagrangian Integrated Trajectory mentioning

confidence: 99%

Section: The Moderate Resolution Imaging Spectroradiometer (Modis) Inmentioning

confidence: 99%

Section: The Hybrid Single Particle Lagrangian Integrated Trajectory mentioning

confidence: 99%

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Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Sharif

Alam

Afsar

2015

Aerosol Air Qual. Res.

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Impact of Middle Eastern dust sources on PM₁₀ in Iran: Highlighting the impact of Tigris‐Euphrates basin sources and Lake Urmia desiccation

2016

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Contribution of different Middle Eastern dust origins to PM10 (PM with aerodynamic diameters less than 10 µm) levels in several receptor large cities in Iran was investigated. Initially, the major regional dust episodes were determined through statistical analysis of recorded PM levels at air quality stations and verified using satellite images. The particles dispersion was simulated by Hybrid Single‐Particle Lagrangian Integrated Trajectory (HYSPLIT) to regenerate PM10 during the dust episodes. The accuracy of the modeled results was rather convincing, with an average squared correlation coefficient (R2) of 0.7 (max = 0.95). Consequently, the contributions of different dust sources to the observed concentrations were determined. Basin of Tigris‐Euphrates Rivers encompasses active dust sources with significant rate of emission due to fluvial deposits. The sources in this basin with approximately 70–95% contribution, by far, had the most influence on PM10 levels at the receptor cities. In a finer resolution, northern and central parts of Iraq had the most influence on PM10 level during the dust episodes. Effect of probable improvement or deterioration of the current dust origin conditions on PM10 levels was analyzed by performing a sensitivity analysis through varying threshold friction velocities. The results demonstrated that 10% increase or decrease in threshold friction velocities of major dust sources could lead to average of 51% decrease or 77% increase in the receptor cities' PM10, respectively. Finally, effects of Lake Urmia desiccation, as a new hydrological prospect dust origin were analyzed. The predicted dust from the prospective dried lake bed could result in ~ 30–60% increase in PM10 of nearby cities during the studied dust episodes.

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Spatio‐temporal variations in fine particulate matter and evaluation of associated health risk over Pakistan

Mariam

Tariq

Ul-Haq

et al. 2021

Integr Envir Assess & Manag

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Human health and the environment are adversely affected by fine particulate matter. By utilizing standard deviation ellipse and trend analyses, we studied the spatial patterns and temporal trends of PM 2.5 over Pakistan from 1998 to 2016. The outcomes of these analyses indicated that PM 2.5 concentrations were considerably amplified in Pakistan, particularly in the provinces of Punjab and Sindh. The areal extent of PM 2.5 concentrations below 15 μg/m 3 declined constantly, and the area with PM 2.5 concentrations above 35 μg/m 3 increased significantly. The highly affected cities were Lahore,

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Monitoring spatio-temporal aerosol patterns over Pakistan based on MODIS, TOMS and MISR satellite data and a HYSPLIT model

Cited by 161 publications

References 46 publications

Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Impact of Middle Eastern dust sources on PM₁₀ in Iran: Highlighting the impact of Tigris‐Euphrates basin sources and Lake Urmia desiccation

Spatio‐temporal variations in fine particulate matter and evaluation of associated health risk over Pakistan

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Monitoring spatio-temporal aerosol patterns over Pakistan based on MODIS, TOMS and MISR satellite data and a HYSPLIT model

Cited by 161 publications

References 46 publications

Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Spatio-Temporal Distribution of Aerosol and Cloud Properties over Sindh Using MODIS Satellite Data and a HYSPLIT Model

Impact of Middle Eastern dust sources on PM10 in Iran: Highlighting the impact of Tigris‐Euphrates basin sources and Lake Urmia desiccation

Spatio‐temporal variations in fine particulate matter and evaluation of associated health risk over Pakistan

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Product

Resources

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Impact of Middle Eastern dust sources on PM₁₀ in Iran: Highlighting the impact of Tigris‐Euphrates basin sources and Lake Urmia desiccation