CAPABLE · Chemical Composition characterization of air pollution (aerosols and gases) on the basis of nonlinear multi-channel lidar experiments
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2017-02-01 → 2019-01-31
- EU contribution
- €195,455
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
Lines connect the coordinator with its partners.
Results in brief
Chemical Composition characterization of air pollution (aerosols and gases) on the basis of nonlinear multi-channel lidar experiments
CAPABLE aimed at the development of a complex lidar spectrometer to measure vertically resolved profiles of chemically reactive 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. CAPABLE had four main interrelated objectives: (i) Development of an end-to-end computer simulation program to model the processes of inelastic Photoluminescence and Raman scattering from aerosol particles and gases in the context of lidar remote sensing; (ii) Identify the luminescence and Raman scattering characteristics for a set of key natural and anthropogenic aerosols and gases by means of laser-based laboratory experiments; (iii) Performing test measurements and recording case studies under laboratory conditions; (iv) Define hardware specifications and build the hardware prototype of a complex inelastic lidar spectrometer. A variety of actions were performed: Preparation of a bibliographic database; Development of software and a simulation program for identifying Raman and photoluminescence signal returns; Simulations of Raman signals from gases considering various mixing conditions and components in cases of aerosol mixtures; Identification of Raman cross sections of chemical components in the atmosphere with the simulation program and from available literature; Development of equipment for laboratory experiments including a Raman/fluorescence microscope and a suite of gas chambers: Definition of the hardware requirements for the complex lidar spectrometer; Assembly and test of the complex lidar spectrometer; Performing lidar measurements in the atmosphere.
Data: CORDIS, © European Union
Project objective
CAPABLE’s long term objective is to develop a complex lidar spectrometer that allows us to measure vertically resolvedprofiles of trace gases, chemical components in particles, and bio-aerosols in atmospheric aerosol pollution. This informationcan be used for studies of the effect of the vertical distribution of aerosol and gas pollution on climate forcing, air quality, andhuman 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 spectrallyresolved measurements of Raman and photoluminescence (PL)/fluorescence spectrums. In the first stage we develop thetechnique to the point that we can identify some of the most important climate-relevant aerosol components in a qualitativemanner and we will develop computer models that will allow us to verify our measurement results on the basis of theoreticalsimulations. The models will form an end-to-end simulator that will allow us to develop and design the basic concepts of aRaman and PL spectroscopy lidar and necessary hardware specifications and explore the detection limits for the mobilemeasurement channel that can be installed in existing lidars. In the second stage, which can in part be achieved in this twoyearfunding 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 significantlyhigher sensitivity, and thus result in much shorter data integration times.
Original text from CORDIS.
Participants
- THE UNIVERSITY OF HERTFORDSHIRE HIGHER EDUCATION CORPORATION · HatfieldCoordinatorUnited Kingdom
Links
- View on CORDIS
- DOI: 10.3030/708227
- http://researchprofiles.herts.ac.uk/portal/en/projects/chemical-composition-characterisation-of-air-pollution-aerosols-and-gases-on-the-basis-of-nonlinear
Data: CORDIS, © European Union