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Near real-time air quality modeling: comparing NO2 remote sensing data with interpolated measurements

Ahmed, B; (2012) Near real-time air quality modeling: comparing NO2 remote sensing data with interpolated measurements. International Journal of Advanced Scientific Engineering and Technological Research , 1 (2) 45 - 59. Green open access

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Abstract

Nitrogen dioxide (NO2) is one of the most important air pollutants in the troposphere. It is toxic by inhalation and creates many problems to human health. Therefore, it is much needed to regularly monitor and validate tropospheric NO2 columns with ground based in situ measurements. NO2 columns can be retrieved from SCIAMACHY spectra with high accuracy. The objective of this research paper is to compare the satellite measurements (SCIAMACHY) of tropospheric NO2 vertical column with ground based in situ measurements. The study area has been selected as North Rhine-Westphalia (NRW) of Germany. The research has been designed to compare remote sensing data of NO2 with interpolated in situ ground measurement at the same time. This research shows a weak correlation between the satellite observation and the in situ ground measurements of NO2 concentrations in near real time.

Type: Article
Title: Near real-time air quality modeling: comparing NO2 remote sensing data with interpolated measurements
Location: Perth, Western Australia
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.setscholars.org/index.php/ijasetr/artic...
Language: English
Additional information: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Air quality, Remote sensing, Satellite observation, In situ ground measurements
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/1418960
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