Comparison of aerosol optical depth products from multi-satellites over densely populated cities of Pakistan

• Autorzy: Butt F.M. , Shahzad M.I. , Khalid S. , Iqbal N. , Rasheed A. , Raza G.
• Języki publikacji: PL

Abstrakty

EN

Air pollution in Pakistan is causing damage to health, environment and quality of life. Air pollution in Pakistan is not effectively monitored due to heavy cost involved in setting up ground stations. However, Satellite remote sensing can effectively monitor the air pollution in terms of Aerosol Optical Depth (AOD) at regional as well as global level. However, algorithms used to derive AOD from different sensors have some inherited differences which can pose challenges in monitoring regional AOD at high temporal resolution using more than one sensor. Therefore, this study focuses on comparison of four major satellite based AOD products namely Moderate Resolution Imaging SpectroRadiometer (MODIS), Multi-angle Imaging SpectroRadiometer (MISR), Ozone Monitoring Instrument multiwavelength (OMI) aerosol product and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) with the ground based AErosol RObotic NETwork (AERONET) AOD which is only available from Lahore and Karachi in Pakistan. The correlation of various AOD products with AERONET AOD is estimated statistically through coefficient of determination (R²), Root Mean Square Error (RMSE), slope and intercept. It is noticed that MODIS is relatively accurate and reliable for monitoring air quality on operational bases over the land cover area of Lahore (R² = 0.78; RMSE = 0.18), whereas MISR over the coastal areas of Karachi (R² = 0.82; RMSE = 0.20). The results of the study will help the stakeholders in planning additional ground stations for operational monitoring of air quality at regional level.

Słowa kluczowe

EN

Pakistan; large city; industrial city; population density; air pollution; suspended particle; aerosol; aerosol optical depth; remote sensing; environment monitoring

• Wydawca: -
• Czasopismo: International Letters of Natural Sciences
• Rocznik: 2018
• Tom: 69
• Opis fizyczny: p.12-24,fig.,ref.

Twórcy

autor

Butt F.M.

• Earth and Atmospheric Remote Sensing Lab (EARL), Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan

autor

Shahzad M.I.

• Earth and Atmospheric Remote Sensing Lab (EARL), Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan

autor

Khalid S.

• Earth and Atmospheric Remote Sensing Lab (EARL), Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan

autor

Iqbal N.

• Earth and Atmospheric Remote Sensing Lab (EARL), Department of Meteorology, COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan

autor

Rasheed A.

• Centre for Climate Research and Development (CCRD), COMSATS Institute of Information Technology CIIT, Islamabad, Pakistan

autor

Raza G.

• National Institute of Laser and Optronics (NILOP), Islamabad, Pakistan

Bibliografia

• [1] C.I. Davidson, R.F. Phalen, P.A. Solomon, Airborne particulate matter and human health: A review, Aerosol Science and Technology. 39(8) (2005) 737-749.
• [2] F. Dominici et al., Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases, Jama. 295(10) (2006) 1127-1134.
• [3] P.V. Hobbs, Aerosol-cloud-climate interactions, Vol. 54, Academic Press, 1993.
• [4] K. Alam, T. Trautmann, T. Blaschke, Aerosol optical properties and radiative forcing over mega-city Karachi, Atmospheric Research. 101(3) (2011) 773-782.
• [5] K. Alam et al., Aerosol size distribution and mass concentration measurements in various cities of Pakistan, Journal of Environmental Monitoring. 13(7) (2011) 1944-1952.
• [6] K. Alam, S. Qureshi, T. Blaschke, Monitoring spatio-temporal aerosol patterns over Pakistan based on MODIS, TOMS and MISR satellite data and a HYSPLIT model, Atmospheric environment. 45(27) (2011) 4641-4651.
• [7] V.A. Dutkiewicz et al., Black carbon aerosols in urban air in South Asia, Atmospheric Environment. 43(10) (2009) 1737-1744.
• [8] B.M. Ghauri et al., Composition of aerosols and cloud water at a remote mountain site (2.8 kms) in Pakistan, Chemosphere, Glob Chang Sci. 3 (2001) 51–63.
• [9] B. Ghauri, M. Salam, M.I. Mirza, An assessment of air-quality in Karachi, Pakistan, Environ. Monit. Assess. 32 (1994) 37–45.
• [10] K. Alam et al., Monitoring spatio-temporal variations in aerosols and aerosol–cloud interactions over Pakistan using MODIS data, Advances in Space Research. 46(9) (2010) 1162-1176.
• [11] M. Ali et al., A study of aerosol properties over Lahore (Pakistan) by using AERONET data, Asia-Pacific Journal of Atmospheric Sciences. 50(2) (2014) 153-162.
• [12] B.N. Holben et al., AERONET—A federated instrument network and data archive for aerosol characterization, Remote sensing of environment. 66(1) (1998) 1-16.
• [13] B.N. Holben et al., AERONET - A federated instrument network and data archive for aerosol characterization, Remote Sensing of Environment. 66 (1998) 1–16.
• [14] X. Jiang et al., Comparison of MISR aerosol optical thickness with AERONET measurements in Beijing metropolitan area, Remote Sensing of Environment. 107(1) (2007) 45-53.
• [15] Y.J. Kaufman et al., The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol, IEEE transactions on Geoscience and Remote Sensing. 35(5) (1997) 1286-1298.
• [16] A.A. Kokhanovsky et al., Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments, Atmospheric Research. 85(3) (2007) 372-394.
• [17] M.S. Wong et al., Validation of MODIS, MISR, OMI, and CALIPSO aerosol optical thickness using ground-based sunphotometers in Hong Kong, International journal of remote sensing. 34(3) (2013) 897-918.
• [18] K.R. Knapp, Quantification of aerosol signal in GOES 8 visible imagery over the United States, Journal of Geophysical Research: Atmospheres. 107(D20) (2002).
• [19] Z. Li et al., First observation‐based estimates of cloud‐free aerosol radiative forcing across China, Journal of Geophysical Research: Atmospheres. 115(D7) (2010).
• [20] K. Alam et al., Aerosol optical and radiative properties during summer and winter seasons over Lahore and Karachi, Atmospheric Environment. 50 (2012) 234-245.
• [21] K.F. Biswas, B.M.Ghauri, L. Husain, Gaseous and aerosol pollutants during fog and clear episodes in South Asian urban atmosphere, Atmospheric Environment. 42(33) (2008) 7775-7785.
• [22] I.I. Chaudhri, The vegetation of Karachi, Vegetatio. 10(3-4) (1961) 229-246.
• [23] S.A. Qadir, S.Z. Qureshi, M.A. Ahmed, A phytosociological survey of the Karachi University Campus, Plant Ecology. 13(6) (1966) 339-362.
• [24] Information on https://aeronet.gsfc.nasa.gov/cgi-bin/webtool_aod_v3?stage=2&place_code=10&region=Asia&state=Pakistan&submit=Get+AERONET+Sites.
• [25] C.L. Parkinson, Aqua: An Earth-observing satellite mission to examine water and other climate variables, IEEE Transactions on Geoscience and Remote Sensing. 41(2) (2003) 173-183.
• [26] D.J. Diner et al., MISR aerosol optical depth retrievals over southern Africa during the SAFARI-2000 dry season campaign, Geophys. Res. Lett. 28(6) (2001) 3127-3130.
• [27] D.M. Winker, W.H. Hunt, M.J. McGill, Initial performance assessment of CALIOP, Geophysi. Res. Lett. 34(19) (2007) L19803.
• [28] P.A.Roussos et al., Relations of environmental factors with the phenol content and oxidative enzyme activities of olive explants, Scientia horticulturae. 113(1) (2007) 100-102.
• [29] A.S. Wali, B.H. Kabura, Correlation studies in tomato (Lycopersicon lycopersicum L. Karst) as affected by mulching and cultivar during the heat period in the Semi-Arid Region of Nigeria, International Letters of Natural Sciences. 15 (2014) 1-7.
• [30] A.C. Rencher, G.B. Schaalje, Linear models in statistics, John Wiley & Sons, 2008.
• [31] P.T.T. Ha et al., Development of new drought tolerant breeding lines for Vietnam using marker-assisted backcrossing, International Letters of Natural Sciences. 59 (2016) 1-13.
• [32] P. Gupta et al., MODIS aerosol optical depth observations over urban areas in Pakistan: Quantity and quality of the data for air quality monitoring, Atmospheric Pollution Research. 4(1) (2013) 43–52.
• [33] H. Bibi et al., Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth retrievals for four locations on the Indo-Gangetic plains and validation against AERONET data, Atmospheric Environment. 111 (2015) 113–126.
• [34] D.J. Diner et al., Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview, IEEE Transactions on Geoscience and Remote Sensing. 36(4) (1998) 1072-1087.
• [35] R.A .Kahn et al., Satellite-derived aerosol optical depth over dark water from MISR and MODIS: Comparisons with AERONET and implications for climatological studies, Journal of Geophysical Research: Atmospheres. 112(18) (2007).
• [36] M. Kroon et al., Ozone Monitoring Instrument geolocation verification, Journal of Geophysical Research. 113(15) (2008)
• [37] C. Ahn, O. Torres, P.K. Bhartia, Comparison of ozone monitoring instrument UV aerosol products with aqua/moderate resolution imaging spectroradiometer and multiangle imaging spectroradiometer observations in 2006, Journal of Geophysical Research: Atmospheres. 113(16) (2008).
• [38] D.M. Winker et al., Overview of the CALIPSO mission and CALIOP data processing algorithms, Journal of Atmospheric and Oceanic Technology. 26(11) (2009) 2310-2323.
• [39] M.A. Ali, M. Assiri, R. Dambul, Seasonal Aerosol Optical Depth (AOD) variability using satellite data and its comparison over Saudi Arabia for the period 2002–2013, Aero. Air Qual. Res. 17 (2017) 1267–1280.
• [40] M.A. Ali, M.E. Assiri, Spatio-temporal analysis of aerosol concentration over Saudi Arabia using satellite remote sensing techniques, Malaysian J. Society Space. 12 (2016) 1‒11.
• [41] M.J. Butt, M.E. Assiri, M.A. Ali, Assessment of AOD variability over Saudi Arabia using MODIS Deep Blue products, Environ. Poll. 231 (2017) 143‒153.
• [42] A. Rasheed et al., Measurement and analysis of fine particulate matter (PM2.5) in urban areas of Pakistan, Aerosol Air Qual. Res. 15 (2015) 426–439.
• [43] H.A. Khwaja et al., An in-depth characterization of urban aerosols using electron microscopy and energy dispersive X-Ray analysis, CLEAN – Soil, Air, Water. 37(7) (2009) 544-554.

Identyfikatory

DOI

10.18052/www.scipress.com/ILNS.69.12