Multi year satellite remote sensing of particulate matter air quality over Sydney, Australia

Gupta, Pawan; Christopher, Sundar A.; Box, Michael A.; Box, G. P.

doi:10.1080/01431160701241738

Cited by 56 publications

(39 citation statements)

References 13 publications

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“…3) are consistent with previous findings in the United States (Wang and Christopher, 2003;Engeli-Cox et al, 2004) and Sydney, Australia (Gupta et al, 2007). Engeli-Cox et al (2004) and Gupta et al (2007) used linear correlation coefficient (LCC) in the analysis and obtained LCC values around 0.3. They also concluded that MODIS data are a superior data set for studying PM air quality over a large area.…”

Section: Resultssupporting

confidence: 80%

“…MOD021KM is a MODIS level-1B product which is used for detection of range fire smoke (Gupta et al, 2007). Iranian Ambient air qualities published by DOE were followed as comprising daily and annual standards for PM 10 .…”

Section: Methodsmentioning

confidence: 99%

“…Studies on the relationship between satellite-derived AOT and particulate matter in troposphere measured by ground stations have been undertaken (Chrysoulakis et al, 2003;Wang and Christopher, 2003;Sohrabinia and Khorshiddoust, 2007;Kampe, 2008). MODIS image and AOT were utilized to detect forest fire smoke Gupta et al, 2007;Mazzoni et al, 2007). This paper emphasizes the accuracy assessment of MODIS particulate matter products such as AOT and images during dust storms.…”

Section: Introductionmentioning

confidence: 99%

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Accuracy assessment of moderate resolution image spectroradiometer products for dust storms in semiarid environment

Amanollahi

Kaboodvandpour

Abdullah

et al. 2011

Int. J. Environ. Sci. Technol.

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Dust storms are strongly and negatively associated with the annual cycle of rainfall and coincide with the west and southwesterly winds in west and south west of Iran. Accuracy assessment of particulate matter products of moderate resolution image spectroradiometer was studied in this research. Moderate resolution image spectroradiometer products consist of aerosol optical thickness, its corresponding image red, green and blue and moderate resolution image spectroradiometer/ terra calibrated radiances 5 minutes L1B swath 1 km, which shows the environmental information at terrestrial, atmospheric and ocean phenomenology. Daily aerosol optical thickness data retrieved from moderate resolution image spectroradiometer from May 2009 to May 2010 were compared with the amount of particulate matter measured at ground in Sanandaj, Iran, using non-linear correlation coefficient. Results showed that the moderate resolution image spectroradiometer image / terra calibrated radiances 5 minutes L1B swath 1 km is able to detect dust storms distribution and their blowing direction over study area clearly. The air quality conditions obtained in with dust storm period were unhealthy and correlation coefficients between moderate resolution image spectroradiometer aerosol optical thickness and particulate matter concentration in this period were higher than without dust storm period. The moderate resolution image spectroradiometer aerosol optical thickness values lower than 0.1 were acquired uncertainty level. Comparison of moderate resolution image spectroradiometer images/ terra calibrated radiances 5 minutes L1B swath 1 km and image red, green and blue showed that moderate resolution image spectroradiometer has limitation in retrieval of aerosol optical thickness from the dust storm with high concentration of particulate matter. This study reveals that the algorithm which is applied to refine the aerosol optical thickness is not able to recognize the amount of particulate matter in low and very high concentrations sensitively. No study has previously been conducted to investigate the accuracy of the moderate resolution image spectroradiometer particulate matter products.

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Section: Resultssupporting

confidence: 80%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accuracy assessment of moderate resolution image spectroradiometer products for dust storms in semiarid environment

Amanollahi

Kaboodvandpour

Abdullah

et al. 2011

Int. J. Environ. Sci. Technol.

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“…Hinkley et al, 2008;Gupta et al, 2007;Corbyn, 2005;Duc et al, 2000;Leighton and Spark, 1997;Liu et al, 1996). In summer, however, photochemical pollution events are more common; their severity linked to prevailing winds and cloudiness (Hart et al, 2006;Leslie and Speer, 2004;Azzi and Johnson, 1994;Hawke and Iverach, 1974).…”

Section: Introductionmentioning

confidence: 99%

On the use of radon for quantifying the effects of atmospheric stability on urban emissions

et al. 2015

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Abstract.Radon is increasingly being used as a tool for quantifying stability influences on urban pollutant concentrations. Bulk radon gradients are ideal for this purpose, since the vertical differencing substantially removes contributions from processes on timescales greater than diurnal and (assuming a constant radon source) gradients are directly related to the intensity of nocturnal mixing. More commonly, however, radon measurements are available only at a single height. In this study we argue that single-height radon observations should not be used quantitatively as an indicator of atmospheric stability without prior conditioning of the time series to remove contributions from larger-scale "nonlocal" processes. We outline a simple technique to obtain an approximation of the diurnal radon gradient signal from a single-height measurement time series, and use it to derive a four category classification scheme for atmospheric stability on a "whole night" basis. A selection of climatological and pollution observations in the Sydney region are then subdivided according to the radon-based scheme on an annual and seasonal basis. We compare the radon-based scheme against a commonly used Pasquill-Gifford (P-G) type stability classification and reveal that the most stable category in the P-G scheme is less selective of the strongly stable nights than the radon-based scheme; this lead to significant underestimation of pollutant concentrations on the most stable nights by the P-G scheme. Lastly, we applied the radon-based classification scheme to mixing height estimates calculated from the diurnal radon accumulation time series, which provided insight to the range of nocturnal mixing depths expected at the site for each of the stability classes.

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“…Satellite-derived aerosol optical thickness (AOT) represents integrated atmospheric columnar loading of aerosols and can be used as a surrogate to assess surface particulate matter air quality, especially when surface measurements are not available. Research studies (Engel Cox et al, 2006;Al-Saadi et al, 2005;Gupta et al, 2006Gupta et al, , 2007Pelletier et al, 2007) have shown the potential of using satellite derived AOT values to derive mass concentration of particulate matter with aerodynamic diameter less than 2.5 µm (PM 2.5 ). Most of these studies have compared MODIS derived AOT with surface measured PM 2.5 mass concentration and linear regression equations were formulated to calculate PM 2.5 mass concentration over regions where surface measurements were not available.…”

Section: Introductionmentioning

confidence: 99%

Seven year particulate matter air quality assessment from surface and satellite measurements

2008

Self Cite

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Abstract. Using seven years of the Moderate ResolutionImaging Spectroradiometer (MODIS) aerosol optical thickness (AOT) data and ground measurements of particulate matter mass over one site in the Southeastern United States (33.55 • N, 86.82 • W) we present a comprehensive analysis of various aspects of particulate matter air quality. Monthly, seasonal and inter-annual relationships are examined with emphasis on sampling biases, quality indicators in the AOT product and various cloud clearing criteria. Our results indicate that PM 2.5 mass concentration over Northern Birmingham has decreased by about 23% in year 2006 when compared to year 2002 and air quality during summer months was poor when compared to winter months. MODIS-Terra AOT data was available only about 50% of the time due to cloud cover and unfavorable surface conditions. However, the mean difference in monthly mean PM 2.5 was less than 2.2 µgm −3 derived using all the data and from only those days when satellite AOT was available indicating that satellite data does not have sampling issues. The correlation between PM 2.5 and MODIS AOT increased from 0.52 to 0.62 when hourly PM 2.5 data were used instead of daily mean PM 2.5 data. Changing box size for satellite data around the ground station during comparisons produced less than ±0.03 difference in mean AOT values for 90% of observations. Application of AOT quality flags reduced the sample size but does not affect AOT-PM 2.5 relationship significantly. We recommend using AOT quality flags for daily analysis, whereas long time scale analysis can be performed by using all AOT retrievals to obtain better sampling. Our analysis indicates that satellite data is a useful tool for monitoring particulate matter air quality especially in regions where ground measurements are not available. While these resultsCorrespondence to: P. Gupta (gupta@nsstc.uah.edu) are representative for the region of interest, it is difficult to extrapolate these results to a larger context without detailed analysis using ancillary data sets.

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Multi year satellite remote sensing of particulate matter air quality over Sydney, Australia

Cited by 56 publications

References 13 publications

Accuracy assessment of moderate resolution image spectroradiometer products for dust storms in semiarid environment

Accuracy assessment of moderate resolution image spectroradiometer products for dust storms in semiarid environment

On the use of radon for quantifying the effects of atmospheric stability on urban emissions

Seven year particulate matter air quality assessment from surface and satellite measurements

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