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Satellite and ground based seasonal variability of NO2 and SO2 over New Delhi, India

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Satellite and ground based seasonal variability of NO2 and SO2 over New Delhi, India. / Pandey, A.K.; Kumar, R.P.; Kumar, K.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9640 SPIE, 2015.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Pandey, AK, Kumar, RP & Kumar, K 2015, Satellite and ground based seasonal variability of NO2 and SO2 over New Delhi, India. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 9640, SPIE, SPIE Remote Sensing, Toulouse, 21/09/15. https://doi.org/10.1117/12.2193542

APA

Pandey, A. K., Kumar, R. P., & Kumar, K. (2015). Satellite and ground based seasonal variability of NO2 and SO2 over New Delhi, India. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 9640). SPIE. https://doi.org/10.1117/12.2193542

Vancouver

Pandey AK, Kumar RP, Kumar K. Satellite and ground based seasonal variability of NO2 and SO2 over New Delhi, India. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9640. SPIE. 2015 doi: 10.1117/12.2193542

Author

Pandey, A.K. ; Kumar, R.P. ; Kumar, K. / Satellite and ground based seasonal variability of NO2 and SO2 over New Delhi, India. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9640 SPIE, 2015.

Bibtex

@inproceedings{6809a612b89c49ed940e939ca682baad,
title = "Satellite and ground based seasonal variability of NO2 and SO2 over New Delhi, India",
abstract = "Remote sensing technology application emerges as a useful tool for exploring atmospheric pollution revelation in the last two decade. In this study, we used Aura satellite Ozone Monitoring Instrument (OMI) tropospheric NO2 and pbl SO2 retrieval data (October 2004 – September 2013) to generate a composite spatial map of different seasons over New Delhi National Capital Region (NCR). For surface measurements, we used Central Pollution Control Board (CPCB) NO2 and SO2 data (January 2005 – December 2013). Further, we compared the satellite retrievals data to the surface measurements. A higher NO2 concentration in both OMI and CPCB stations measurements are obtained in winter season followed by summer and minimum in monsoon months. OMI SO2 concentration is higher in monsoon months and almost comparable in summer and winter seasons. We obtained a statistically significant correlation between OMI tropospheric NO2 and CPCB surface measurements.",
author = "A.K. Pandey and R.P. Kumar and K. Kumar",
year = "2015",
month = oct,
day = "16",
doi = "10.1117/12.2193542",
language = "English",
isbn = "9781628418507",
volume = "9640",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
note = "SPIE Remote Sensing ; Conference date: 21-09-2015 Through 24-09-2015",
url = "https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/9640.toc",

}

RIS

TY - GEN

T1 - Satellite and ground based seasonal variability of NO2 and SO2 over New Delhi, India

AU - Pandey, A.K.

AU - Kumar, R.P.

AU - Kumar, K.

PY - 2015/10/16

Y1 - 2015/10/16

N2 - Remote sensing technology application emerges as a useful tool for exploring atmospheric pollution revelation in the last two decade. In this study, we used Aura satellite Ozone Monitoring Instrument (OMI) tropospheric NO2 and pbl SO2 retrieval data (October 2004 – September 2013) to generate a composite spatial map of different seasons over New Delhi National Capital Region (NCR). For surface measurements, we used Central Pollution Control Board (CPCB) NO2 and SO2 data (January 2005 – December 2013). Further, we compared the satellite retrievals data to the surface measurements. A higher NO2 concentration in both OMI and CPCB stations measurements are obtained in winter season followed by summer and minimum in monsoon months. OMI SO2 concentration is higher in monsoon months and almost comparable in summer and winter seasons. We obtained a statistically significant correlation between OMI tropospheric NO2 and CPCB surface measurements.

AB - Remote sensing technology application emerges as a useful tool for exploring atmospheric pollution revelation in the last two decade. In this study, we used Aura satellite Ozone Monitoring Instrument (OMI) tropospheric NO2 and pbl SO2 retrieval data (October 2004 – September 2013) to generate a composite spatial map of different seasons over New Delhi National Capital Region (NCR). For surface measurements, we used Central Pollution Control Board (CPCB) NO2 and SO2 data (January 2005 – December 2013). Further, we compared the satellite retrievals data to the surface measurements. A higher NO2 concentration in both OMI and CPCB stations measurements are obtained in winter season followed by summer and minimum in monsoon months. OMI SO2 concentration is higher in monsoon months and almost comparable in summer and winter seasons. We obtained a statistically significant correlation between OMI tropospheric NO2 and CPCB surface measurements.

U2 - 10.1117/12.2193542

DO - 10.1117/12.2193542

M3 - Conference contribution/Paper

SN - 9781628418507

VL - 9640

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - SPIE

T2 - SPIE Remote Sensing

Y2 - 21 September 2015 through 24 September 2015

ER -