Study on risk level measurement and intervention policy of light pollution

Research Article
Open access

Study on risk level measurement and intervention policy of light pollution

Kun Lu 1* , Han Kong 2 , Xiyu Huang 3
  • 1 Geely College    
  • 2 Geely College    
  • 3 Geely College    
  • *corresponding author xxgk@quc.edu.cn
Published on 9 October 2023 | https://doi.org/10.54254/2753-8818/7/20230116
TNS Vol.7
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-83558-015-8
ISBN (Online): 978-1-83558-016-5

Abstract

Light pollution is closely related to human life, not only affecting the human experience of viewing the landscape at night, but also affecting the natural light and dark pattern of the ecosystem, resulting in the destruction of the ecosystem, and even causing potential impacts across a range of spatial and temporal scales. In view of the above problems, this paper puts forward the research on the measurement of light pollution risk level and makes relevant intervention strategies to reduce the influence of light pollution. Firstly, the light pollution risk levels in different regions were compared by establishing a model to indirectly quantify the light pollution risk level (LPRM) and using satellite remote sensing images to calculate the luminous flux scale. Then, the index system model (LPRI) of light pollution risk level was established, and the entropy weight method was used to evaluate the weight of each index, and the intervention policy was formulated. All in all, the LPRM model in this paper can roughly measure the level of light pollution risk in a region, and the proposal of this research topic can provide a reference idea for the governments of various countries to issue laws in the future.

Keywords:

Light pollution, Intervention strategy, LPRM Model, Entropy weight method, LPRI model

Lu,K.;Kong,H.;Huang,X. (2023). Study on risk level measurement and intervention policy of light pollution. Theoretical and Natural Science,7,72-85.
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References

[1]. Cinzano, P., Falchi, F., & Elvidge, C.D. (2001). The first world atlas of the artificial night sky brightness. Monthly Notices of the Royal Astronomical Society, 328, 6 8 9–707.

[2]. Kerenyi, N.A., Pandula, E., Feuer, G, 1990. Why the incidence of cancer is increasing: the role of 'Light Pollution'. Medical Hypotheses 33, 75–78.

[3]. Gallaway, T., Olsen, R. N., & Mitchell, D. M. (2010). The economics of global light pollution. Ecological Economics, 69(3), 658–665.

[4]. California Energy Commission, 2005. Nonresidential Compliance Manual.

[5]. Falchi, F., Cinzano, P., Duriscoe, D., Kyba, C. C. M., Elvidge, C. D., Baugh, K., Furgoni, R. (2016). The new world atlas of artificial night sky brightness. Science Advances, 2(6), e1600377–e1600377.

[6]. Longcore, T. and Rich, C. (2004), Ecological light pollution. Frontiers in Ecology and the Environment, 2: 191-198.

[7]. Plass, G. N. (1959). Carbon Dioxide Absorption Coefficients. Journal of Geophysical Research, 64(8), 1083-1092.

[8]. Cinzano, P., Falchi, F., & Elvidge, C. (2001). Global monitoring of light pollution and night sky brightness from satellite measurements. Contract, 1-6.

[9]. Cinzano, P., & Falchi, F. (2014). Quantifying light pollution. Journal of Quantitative Spectroscopy and Radiative Transfer, 139, 13-20.

Cite this article

Lu,K.;Kong,H.;Huang,X. (2023). Study on risk level measurement and intervention policy of light pollution. Theoretical and Natural Science,7,72-85.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Environmental Geoscience and Earth Ecology

ISBN：978-1-83558-015-8(Print) / 978-1-83558-016-5(Online)
Editor：Florian Nuţă
Conference website: https://www.icegee.org/
Conference date: 27 August 2023
Series: Theoretical and Natural Science
Volume number: Vol.7
ISSN：2753-8818(Print) / 2753-8826(Online)

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References

[1]. Cinzano, P., Falchi, F., & Elvidge, C.D. (2001). The first world atlas of the artificial night sky brightness. Monthly Notices of the Royal Astronomical Society, 328, 6 8 9–707.

[2]. Kerenyi, N.A., Pandula, E., Feuer, G, 1990. Why the incidence of cancer is increasing: the role of 'Light Pollution'. Medical Hypotheses 33, 75–78.

[3]. Gallaway, T., Olsen, R. N., & Mitchell, D. M. (2010). The economics of global light pollution. Ecological Economics, 69(3), 658–665.

[4]. California Energy Commission, 2005. Nonresidential Compliance Manual.

[5]. Falchi, F., Cinzano, P., Duriscoe, D., Kyba, C. C. M., Elvidge, C. D., Baugh, K., Furgoni, R. (2016). The new world atlas of artificial night sky brightness. Science Advances, 2(6), e1600377–e1600377.

[6]. Longcore, T. and Rich, C. (2004), Ecological light pollution. Frontiers in Ecology and the Environment, 2: 191-198.

[7]. Plass, G. N. (1959). Carbon Dioxide Absorption Coefficients. Journal of Geophysical Research, 64(8), 1083-1092.

[8]. Cinzano, P., Falchi, F., & Elvidge, C. (2001). Global monitoring of light pollution and night sky brightness from satellite measurements. Contract, 1-6.

[9]. Cinzano, P., & Falchi, F. (2014). Quantifying light pollution. Journal of Quantitative Spectroscopy and Radiative Transfer, 139, 13-20.

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