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Chemical Composition characterization of air pollution (aerosols and gases) on the basis of nonlinear multi-channel lidar experiments

Total Cost €


EC-Contrib. €






Project "CAPABLE" data sheet

The following table provides information about the project.


Organization address
postcode: AL10 9AB

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-02-01   to  2019-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

CAPABLE’s long term objective is to develop a complex lidar spectrometer that allows us to measure vertically resolved profiles of trace gases, chemical components in particles, and bio-aerosols in atmospheric aerosol pollution. This information can be used for studies of the effect of the vertical distribution of aerosol and gas pollution on climate forcing, air quality, and human health. Impact on economically sensitive areas like air traffic safety caused by, e.g. volcanic plumes and desert dust, will be a spin-out product of our work. This lidar spectrometer will be based on simultaneous, vertically and spectrally resolved measurements of Raman and photoluminescence (PL)/fluorescence spectrums. In the first stage we develop the technique to the point that we can identify some of the most important climate-relevant aerosol components in a qualitative manner and we will develop computer models that will allow us to verify our measurement results on the basis of theoretical simulations. The models will form an end-to-end simulator that will allow us to develop and design the basic concepts of a Raman and PL spectroscopy lidar and necessary hardware specifications and explore the detection limits for the mobile measurement channel that can be installed in existing lidars. In the second stage, which can in part be achieved in this twoyear funding period we want to improve the methodology so that we can quantify at least some of the components, preferably to the level of profiles of mass concentrations measured under ambient atmospheric conditions. The third stage, which goes beyond the main purpose of our project, will explore the concept of Coherent anti-Stokes Raman spectroscopy (CARS) for chemical aerosol characterization. CARS could allow for detection of atmospheric pollutants with significantly higher sensitivity, and thus result in much shorter data integration times.


year authors and title journal last update
List of publications.
2018 B. Tatarov, D. Müller, M. Tesche, and S. K. Shin
Daytime Raman measurements with the spectroscopic lidar at the University of Hertfordshire
published pages: , ISSN: , DOI:
2018 Boyan Tatarov, Detlef Müller, Matthias Tesche, Sung-Kyung Shin
Spectroscopic Lidar facility at University of Hertfordshire: first results and potential applications
published pages: , ISSN: , DOI:
2018 Nikolay Dimov, Boyan Tatarov, Ian Johnston, Detlef Müller, Mark Tracey, Daniel McCluskey
Rapid Isolation Enrichment and Detection of Exosomes from Clinically Relevant Samples Using Microfluidic System and Inline Raman Spectroscopy
published pages: 1134-1135, ISSN: , DOI:
2018 B. Tatarov, D. Müller, M. Tesche, and S. K. Shin
Lidar Spectrometer at the University of Hertfordshire: Setup and First Measurements
published pages: , ISSN: , DOI:
2018 Matthias Tesche, Boyan Tatarov, Youngmin Noh, Detlef Müller
Lidar sprectroscopy instrument (LISSI): An infrastructure facility for chemical aerosol profiling at the University of Hertfordshire
published pages: 1008, ISSN: 2100-014X, DOI: 10.1051/epjconf/201817601008
EPJ Web of Conferences 176 2019-09-02
2018 Samantha M. Rolfe, Boyan Tatarov, Detlef Müller, Nikolay Dimov, Matthias Tesche
Detection of Atmospheric-Reactive Bioaerosols with Raman and Fluorescence Laser Remote Sensing Experiments
published pages: 1043, ISSN: , DOI:
2018 Detlef Müller, Boyan Tatarov, Adam Chard, Matthias Tesche, Sung-Kyun Shin
Identification of Atmospheric Mineral Dust Composition from Raman-Scattering Spectra
published pages: 1042, ISSN: , DOI:
2018 D. Müller, B. Tatarov, A. Chard1, M. Tesche, S.K. Shin
Identification of Mineral Dust From Type-Specific Raman-Scattering Spectra
published pages: , ISSN: , DOI:
2018 Boyan Tatarov, Detlef Müller, Matthias Tesche, and Sung-Kyun Shin
Raman Lidar Spectrometer for Characterising the Chemical Composition of Air Pollution
published pages: 139-140, ISSN: , DOI:
2018 Adam Chard Supervisor: Boyan Tatarov 2nd Marker: Matthias Tesche
Raman and Fluorescence Spectra of Mineral Dust
published pages: , ISSN: , DOI:

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