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Long-term Multispectral Measurements of Skyglow Using Sky Quality Meters

Long-term Multispectral Measurements of Skyglow Using Sky Quality Meters. Christopher Kyba 1,2 , Thomas Ruhtz 1 , Jürgen Fischer 1 , Franz Hölker 2 1 Freie Universität Berlin 2 Leibniz-Institute of Freshwater Ecology and Inland Fisheries 11th Dark Sky Symposium, Osnabrück October 6, 2011.

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Long-term Multispectral Measurements of Skyglow Using Sky Quality Meters

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  1. Long-term Multispectral Measurements of Skyglow Using Sky Quality Meters Christopher Kyba1,2, Thomas Ruhtz1, Jürgen Fischer1, Franz Hölker2 1Freie Universität Berlin 2Leibniz-Institute of Freshwater Ecology and Inland Fisheries 11th Dark Sky Symposium, Osnabrück October 6, 2011

  2. Verlust der Nacht(Loss of the Night) • Collaboration of 9 Universities / Institutes • 14 Integrated Subprojects • Many aspects of light pollution considered, from measurement to ecology to sociology

  3. Requirements for Long Term Light Pollution Monitoring Devices • Must be robust • In situ calibration should be possible • Multispectral • Circadian disruption • Monitor shift to LED lighting • Inexpensive / Easy to operate • Temperature stable (ideally warmed) • Zenith vs. 180o

  4. Existing Light Pollution Detectors • Human eye • Phototubes • Imaging spectrometers • Digital color cameras • Cell phone cameras • Custom devices • IYA Lightmeter • SQM

  5. mag/arcsec2 clear cloudy Cloud Amplification of Light Pollution • Urban overcast sky is ~10x brighter than clear • Effect is reverse of what happens in nature • Summer comparison published in Kyba et al., PLoS ONE (2011)

  6. Prototype Detector • Set of SQM-LU with 5 different filters • Standard SQM-LU • Luminous 370-700nm • Red 590-690 nm • Green 490-580 nm • Blue 370-510 nm • Operated April-Sept, 2011

  7. mag/arcsec2 local time (h) Cross-Calibration and Alignment • Compared at start and end of experiment • Cleaning difference 0.15 mag/arcsec2 • After 6 months =0.07 mag/arcsec2 • Within Unihedron specs (~0.1 mag/arcsec2)

  8. Preliminary Results 1 • Cloud amplification is much stronger for red light (17.2x) than blue (6.8x) • Consistent with expectation • Standard SQM value is in between (11x) Cloud amp factor oktas

  9. Preliminary Results 2 • Can monitor nightly and seasonal changes • Can monitor long term switch to LED lighting • Results could be used to build a “circadian exposure” dataset • Work in progress brightness time (h)

  10. Acknowledgements Funding BMBF 033L038A MILIEU (FU Berlin) Photo Credits Skyglow (Orion): Jeremy Stanley (Wikipedia Commons) Map of Berlin: FU Berlin Globe at Night HPS Spectrum: Elvidge et al. 2010 Fisheye Photo: Andreas Hänel IYA Lightmeter: Lightmeter wiki Glacier National Park: Ray Stinson Urban Sky+SQM: Christopher Kyba Light pollution map: WEW FU Berlin

  11. Requirements for Long Term Light Pollution Monitoring Devices • Must be robust • In situ calibration should be possible • Multispectral • Circadian disruption • Monitor shift to LED lighting • Inexpensive / Easy to operate • Temperature stable (ideally warmed) • Zenith vs. 180o

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