Articles | Volume 8, issue 12
https://doi.org/10.5194/amt-8-5213-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-5213-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Dec 2015
Research article |
| 10 Dec 2015
Dual-wavelength light-scattering technique for selective detection of volcanic ash particles in the presence of water droplets
Z. Jurányi
Institute of Aerosol and Sensor Technology, University of Applied Sciences Northwestern Switzerland, Windisch, Switzerland
H. Burtscher
Institute of Aerosol and Sensor Technology, University of Applied Sciences Northwestern Switzerland, Windisch, Switzerland
M. Loepfe
Institute of Aerosol and Sensor Technology, University of Applied Sciences Northwestern Switzerland, Windisch, Switzerland
M. Nenkov
Institute of Aerosol and Sensor Technology, University of Applied Sciences Northwestern Switzerland, Windisch, Switzerland
E. Weingartner
CORRESPONDING AUTHOR
Institute of Aerosol and Sensor Technology, University of Applied Sciences Northwestern Switzerland, Windisch, Switzerland
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Cited
12 citations as recorded by crossref.
- Calibration of optical particle counters with an aerodynamic aerosol classifier N. Sang-Nourpour & J. Olfert 10.1016/j.jaerosci.2019.105452
- Research on the aerosol identification method for the fire smoke detection in aircraft cargo compartment R. Zheng et al. 10.1016/j.firesaf.2022.103574
- Polarization Measurements and Evaluation Based on Multidimensional Polarization Indices Applied in Analyzing Atmospheric Particulates R. Liao et al. 10.3390/app11135992
- Identification method of fire smoke and nuisance aerosols in aircraft cargo compartment based on dual wavelength scattered light intensity Q. Yang et al. 10.1177/07349041251338510
- Effect of volcanic pumice powder ash on the properties of cement concrete using response surface methodology A. Waqar et al. 10.1007/s41024-023-00265-7
- Scattering Matrix for Typical Urban Anthropogenic Origin Cement Dust and Discrimination of Representative Atmospheric Particulates J. Liu et al. 10.1002/2018JD028288
- Simulations to Discriminate Between Different Fire Smokes and Nuisance Aerosols Through Broadband Light Scattering Y. Kang et al. 10.1007/s10694-025-01785-z
- GPU-accelerated repulsive particle swarm optimization for parameter retrieval of single sphere from angularly distributed scattered light C. Zhai & Z. Cao 10.1016/j.ijleo.2020.165222
- Discrimination Between Fire Smokes and Nuisance Aerosols Using Asymmetry Ratio and Two Wavelengths R. Zheng et al. 10.1007/s10694-019-00829-5
- Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets L. Mui et al. 10.3390/app13010172
- Comparison of the CAS-POL and IOM samplers for determining the knockdown efficiencies of water sprays on float coal dust C. Seaman et al. 10.1080/15459624.2017.1411597
- Effect of volcanic pumice powder ash on the properties of cement concrete using response surface methodology A. Waqar et al. 10.1007/s41024-023-00265-7
11 citations as recorded by crossref.
- Calibration of optical particle counters with an aerodynamic aerosol classifier N. Sang-Nourpour & J. Olfert 10.1016/j.jaerosci.2019.105452
- Research on the aerosol identification method for the fire smoke detection in aircraft cargo compartment R. Zheng et al. 10.1016/j.firesaf.2022.103574
- Polarization Measurements and Evaluation Based on Multidimensional Polarization Indices Applied in Analyzing Atmospheric Particulates R. Liao et al. 10.3390/app11135992
- Identification method of fire smoke and nuisance aerosols in aircraft cargo compartment based on dual wavelength scattered light intensity Q. Yang et al. 10.1177/07349041251338510
- Effect of volcanic pumice powder ash on the properties of cement concrete using response surface methodology A. Waqar et al. 10.1007/s41024-023-00265-7
- Scattering Matrix for Typical Urban Anthropogenic Origin Cement Dust and Discrimination of Representative Atmospheric Particulates J. Liu et al. 10.1002/2018JD028288
- Simulations to Discriminate Between Different Fire Smokes and Nuisance Aerosols Through Broadband Light Scattering Y. Kang et al. 10.1007/s10694-025-01785-z
- GPU-accelerated repulsive particle swarm optimization for parameter retrieval of single sphere from angularly distributed scattered light C. Zhai & Z. Cao 10.1016/j.ijleo.2020.165222
- Discrimination Between Fire Smokes and Nuisance Aerosols Using Asymmetry Ratio and Two Wavelengths R. Zheng et al. 10.1007/s10694-019-00829-5
- Elastic Scattering Time–Gated Multi–Static Lidar Scheme for Mapping and Identifying Contaminated Atmospheric Droplets L. Mui et al. 10.3390/app13010172
- Comparison of the CAS-POL and IOM samplers for determining the knockdown efficiencies of water sprays on float coal dust C. Seaman et al. 10.1080/15459624.2017.1411597
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Latest update: 23 Aug 2025
Short summary
Volcanic eruption can be a serious security risk for airplanes. We develop a new aerosol sensor for the reliable detection of volcanic ash on airplanes. We introduce here the laboratory prototype of this instrument, which is able to distinguish between water droplets and volcanic ash particles by measuring the scattered light at two distinct wavelengths simultaneously. The different optical behaviour of volcanic ash and water at these wavelengths makes this differentiation possible.
Volcanic eruption can be a serious security risk for airplanes. We develop a new aerosol sensor...
