A Review of the Characteristics of Light Pollution: Assessment Technique, Policy, and Legislation
Abstract
:1. Introduction
2. Definition, Classification, Assessment, and Control of Light Pollution
2.1. Definition of Light Pollution
2.2. Classification and Assessment Technique
2.2.1. Wide-Area Light Pollution Assessment Technique
2.2.2. Local-Area Light Pollution Assessment Technique
2.3. Techniques for Light Pollution Control on Policy Formulation
3. Legislation and Standards on Light Pollution
3.1. National Legislation
3.2. Local Legislation
3.3. Standards
4. Discussions
4.1. Key Methods
4.1.1. Environmental Brightness Partition
4.1.2. Lighting Product Control
4.1.3. Dark Sky Protection Area
- International Dark Sky Communities: These are legally organized cities and towns that have implemented outdoor lighting ordinances and educational efforts to raise awareness about the importance of dark skies.
- International Dark Sky Parks: These are publicly or privately owned spaces, primarily dedicated to natural conservation, that have implemented responsible outdoor lighting practices and offer dark sky programs for visitors.
- International Dark Sky Reserves: Reserves consist of a core area with significant darkness surrounded by a populated periphery. Policy controls are enacted in the periphery to protect the darkness of the core.
- International Dark Sky Sanctuaries: Sanctuaries are typically remote and exceptionally dark locations that have fragile conservation states and require special protection.
- Urban Night Sky Places: These are sites located near or within large urban areas that actively promote an authentic nighttime experience despite significant artificial light. These places may not qualify for designation in other dark sky categories.
4.2. The Integration of Evaluation Technique and Policy
- Formulating related policies through legislation in a top-down approach [59]. Two common ways of legislating light pollution have been studied, as discussed by Morgan-Taylor et. al. [60]. The first approach involves enacting special legislation specifically aimed at addressing light pollution, which has been shown to be more effective in pollution prevention and control [61]. This method includes the development of specific laws and regulations, such as the Light Pollution Prevention and Control Law in Korea, which has been accompanied by supporting standards like the Light Pollution Detection Standards [45]. On the other hand, the second approach is “bolt-on” legislation, which extends existing laws to include light pollution regulations. However, “bolt-on” legislation often results in incomplete definitions and restrictions. For instance, in some cases, light pollution is defined as “the artificial light emitted from the workplace with adverse health or harmful substances,” while ignoring the impact on the glow of the sky [62];
- Setting technical standards. These standards encompass various aspects, including restrictions based on emission intensity and the influence of light sources [27]. For example, parameters related to brightness and illumination limits can be established based on the strength of the CIE 150 standard. Additionally, specific standards can be developed to regulate lighting products and their impact on light pollution [63]. Furthermore, time restrictions can be implemented for the operation of lights [64]. For instance, specific lighting schedules can be set for commercial advertisements, and the lighting duration in public areas can be adjusted based on the season and sunset. In some countries, such as France, legislation has adopted a curfew approach that not only addresses the reduction of sky glow and light trespass but also focuses on energy conservation [65]. For example, all room lights must be turned off within an hour after the last person leaves, and outdoor lighting in commercial and non-residential buildings must be switched off after 7 A.M. Similarly, in certain cities in China, commercial advertising is required to be turned off after 21:00 to mitigate light pollution.
5. Conclusions
- Technical standards are required to prevent light pollution. Examples from countries like South Korea, France, Japan, and several European nations provide insights for other countries when formulating their own policies. For example, light pollution was decreased by 6% in France through the legislation of artificial light.
- Key approaches are suggested for global light pollution control, including implementing ambient brightness zoning, regulating lighting product usage, and establishing dark sky reserves. These methods are recommended for areas where immediate policy formulation might not be feasible.
- Technology and policy should be integrated: The mutual promotion between technology and policy-making is identified as a significant trend in future research. The precise data coming from satellite imagery, drones, and balloons, could provide guidance when making the policies.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Cao, M.; Xu, T.; Yin, D. Understanding light pollution: Recent advances on its health threats and regulations. J. Environ. Sci. 2023, 127, 589–602. [Google Scholar] [CrossRef] [PubMed]
- Gallaway, T.; Olsen, R.N.; Mitchell, D.M. The economics of global light pollution. Ecol. Econ. 2010, 69, 658–665. [Google Scholar] [CrossRef]
- Falchi, F. Campaign of sky brightness and extinction measurements using a portable CCD camera. Mon. Not. R. Astron. Soc. 2011, 412, 33–48. [Google Scholar] [CrossRef]
- Sung, C.Y. Light pollution as an ecological edge effect: Landscape ecological analysis of light pollution in protected areas in Korea. J. Nat. Conserv. 2022, 66, 126148. [Google Scholar] [CrossRef]
- Model Lighting Ordinance. Available online: https://darksky.org/resources/guides-and-how-tos/model-lighting-ordinances/ (accessed on 30 May 2024).
- Light Pollution. Available online: http://cie.co.at/eilvterm/17-29-177 (accessed on 10 December 2023).
- Longcore, T.; Rich, C. Ecological light pollution. Front. Ecol. Environ. 2004, 2, 191–198. [Google Scholar] [CrossRef]
- Narisada, K.; Schreuder, D. Light Pollution Handbook, 1st ed.; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2013; pp. 61–77. [Google Scholar] [CrossRef]
- Light Pollution. Available online: http://www.darksky.org/light-pollution/ (accessed on 10 December 2023).
- Guidelines on Minimizing Sky Glow. Available online: https://cie.co.at/publications/guidelines-minimizing-sky-glow (accessed on 10 December 2023).
- Outdoor Work Places. Available online: https://www.iso.org/standard/76342.html (accessed on 10 December 2023).
- Quek, G.; Wienold, J.; Khanie, M.S.; Erell, E.; Kaftan, E.; Tzemepelikos, A.; Konstantzos, I.; Christofferen, J.; Kuhn, T.; Andersen, M. Comparing performance of discomfort glare metrics in high and low adaptation levels. Build. Environ. 2021, 206, 108335. [Google Scholar] [CrossRef]
- Riza, L.S.; Izzuddin, A.; Utama, J.A.; Samah, K.A.F.A.; Herdiwijaya, D.; Hidayat, T.; Anugraha, R.; Mumpuni, E.S. Data analysis techniques in light pollution: A survey and taxonomy. New Astron. Rev. 2022, 95, 101663. [Google Scholar] [CrossRef]
- Votsi, N.P.; Kallimanis, A.S.; Pantis, I.D. An environmental index of noise and light pollution at EU by spatial correlation of quiet and unlit areas. Environ. Pollut. 2017, 221, 459–469. [Google Scholar] [CrossRef]
- Mander, S.; Alam, F.; Lovreglio, R.; Ooi, M. How to measure light pollution—A systematic review of methods and applications. Sustain. Cities Soc. 2023, 92, 104465. [Google Scholar] [CrossRef]
- Walker, M.F. Light pollution in California and Arizona. Publ. Astron. Soc. Pac. 1973, 85, 507–508. [Google Scholar] [CrossRef]
- Turnrose, B.E. Absolute spectral energy distribution of the night sky at Palomar and Mount Wilson observatories. Publ. Astron. Soc. Pac. 1974, 86, 545–551. [Google Scholar] [CrossRef]
- Aubé, M.; Kocifaj, M. Using two light-pollution models to investigate artificial sky radiances at Canary Islands observatories. Mon. Not. R. Astron. Soc. 2012, 422, 819–830. [Google Scholar] [CrossRef]
- Pike, R. A simple computer model for the growth of light pollution. J. RASC 1976, 70, 116–126. [Google Scholar]
- Garstang, R.H. Night sky brightness at observatories and sites. Publ. Astron. Soc. Pac. 1989, 101, 306–329. [Google Scholar] [CrossRef]
- Garstang, R.H. Dust and light pollution. Publ. Astron. Soc. Pac. 1991, 103, 1109–1116. [Google Scholar] [CrossRef]
- Puschnig, J.; Schwope, A.; Posch, T.; Schwarz, R. The night sky brightness at Potsdam-Babelsberg. J. Quant. Spectrosc. Radiat. Transf. 2014, 139, 76–81. [Google Scholar] [CrossRef]
- Cinzano, P.; Falchi, F. Quantifying light pollution. J. Quant. Spectrosc. Radiat. Transf. 2014, 139, 13–20. [Google Scholar] [CrossRef]
- Falchi, F.; Cinzano, P.; Duriscoe, D.; Kyba, C.C.M.; Elvidge, C.D.; Baugh, K.; Portnov, B.A.; Rybnikova, N.A.; Furgoni, R. The new world atlas of artificial night sky brightness. Sci. Adv. 2016, 2, e1600377. [Google Scholar] [CrossRef] [PubMed]
- Kolláth, Z.; Száz, D.; Kolláth, K. Measurements and modelling of artificial sky brightness: Combining remote sensing from satellites and ground-based observations. Remote Sens. 2021, 13, 3653. [Google Scholar] [CrossRef]
- Kolláth, Z.; Cool, A.; Jechow, A.; Kolláth, K.; Száz, D.; Tong, K.P. Introducing the dark sky unit for multi-spectral measurement of the night sky quality with commercial digital cameras. J. Quant. Spectrosc. Radiat. Transf. 2020, 253, 107162. [Google Scholar] [CrossRef]
- Chalkias, C.; Petrakis, M.C.; Psiloglou, B.E.; Lianou, M. Modelling of light pollution in suburban areas using remotely sensed imagery and GIS. J. Environ. 2006, 79, 57–63. [Google Scholar] [CrossRef] [PubMed]
- Falchi, F.; Cinzano, P.; Elvidge, C.D.; Keith, D.M.; Haim, A. Limiting the impact of light pollution on human health, environment and stellar visibility. J. Environ. Manag. 2011, 92, 2714–2722. [Google Scholar] [CrossRef] [PubMed]
- Elvidge, C.D.; Baugh, K.E.; Zhizhin, M.N.; Hsu, F. Why VIIRS data are superior to DMSP for mapping nighttime lights. Proc. Asia-Pac. Adv. Netw. 2013, 35, 62–69. [Google Scholar] [CrossRef]
- Puschnig, J.; Wallner, S.; Posch, T. Circalunar variations of the night sky brightness-an FFT perspective on the impact of light pollution. Mon. Not. R. Astron. Soc. 2020, 492, 2622–2637. [Google Scholar] [CrossRef]
- Alamús, R.; Bará, S.; Corbera, J.; Escofet, J.; Palà, V.; Pipia, L.; Tardà, A. Ground-based hyperspectral analysis of the urban nightscape. ISPRS J. Photogramm. Remote Sens. 2017, 124, 16–26. [Google Scholar] [CrossRef]
- Bettanini, C.; Bartolomei, M.; Aboudan, A.; Colombatti, G.; Olivieri, L. Flight test of an autonomous payload for measuring sky brightness and ground light pollution using a stratospheric sounding balloon. Acta Astronaut. 2022, 191, 11–21. [Google Scholar] [CrossRef]
- Duriscoe, D.M.; Luginbuhl, C.B.; Moore, C.A. Measuring night-sky brightness with a wide-field CCD camera. Publ. Astron. Soc. Pac. 2007, 119, 192–214. [Google Scholar] [CrossRef]
- Shen, T.X.; Wang, L.X.; Han, X.Q. Measure and study on the lighting environment of road tunnel by SM lighting measuring system. Light Light. 2010, 34, 5–8. [Google Scholar]
- Aceituno, J.; Sanchez, S.F.; Aceituno, F.J.; Enríquez, D.G.; Negro, J.J.; Soriguer, R.C.; Gómez, G.S. An all-sky transmission monitor: ASTMON. Publ. Astron. Soc. Pac. 2011, 123, 1076–1086. [Google Scholar] [CrossRef]
- Spoelstra, H. New device for monitoring the colors of the night. J. Quant. Spectrosc. Radiat. Transf. 2014, 139, 82–89. [Google Scholar] [CrossRef]
- Duriscoe, D.M.; Anderson, S.J.; Luginbuhl, C.B.; Baugh, K.E. A simplified model of all-sky artificial sky glow derived from VIIRS Day/Night band data. J. Quant. Spectrosc. Radiat. Transf. 2018, 214, 133–145. [Google Scholar] [CrossRef]
- Czarnecka, K.; Błażejczyk, K.; Morita, T. Characteristics of light pollution–A case study of Warsaw (Poland) and Fukuoka (Japan). Environ. Pollut. 2021, 291, 118113. [Google Scholar] [CrossRef] [PubMed]
- Lopez-Farias, R.; Valdez, S.I.; Paredes-Tavares, J.; Lamphar, H. Optimization of sensor locations for a light pollution monitoring network. J. Quant. Spectrosc. Radiat. Transf. 2023, 304, 108584. [Google Scholar] [CrossRef]
- Green, R.F.; Luginbuhl, C.B.; Wainscoat, R.J.; Duriscoe, D. The growing threat of light pollution to ground-based observatories. Astron. Astrophys. 2022, 30, 1–49. [Google Scholar] [CrossRef]
- Zheng, Z.; Wu, Z.; Chen, Y.; Guo, G.; Cao, Z.; Yang, Z.W.; Marinello, F. Africa’s protected areas are brightening at night: A long-term light pollution monitor based on nighttime light imagery. Glob. Environ. Chang. 2021, 69, 102318. [Google Scholar] [CrossRef]
- Noll, S.; Kausch, W.; Barden, M.; Jones, A.M.; Szyszka, A.; Kimeswenger, S.; Vinther, J. An atmospheric radiation model for Cerro Paranal-I. The optical spectral range. Astron. Astrophys. 2012, 543, 1–23. [Google Scholar] [CrossRef]
- Nie, Y.W.; Lan, T.; Yu, M. Scenic sites selection in dark-sky park based on NPP/VIIRS: A case study in Fujian Province. Procedia Comput. 2019, 154, 798–805. [Google Scholar] [CrossRef]
- Aksaker, N.; Yerli, S.K.; Kurt, Z.; Bayazit, M.; Akcay, A.; Erdoğan, M.A. A case study of light pollution in France. Astrophys. Space Sci. 2020, 365, 1–9. [Google Scholar] [CrossRef]
- Ministry of Environment. Available online: http://me.go.kr/home/web/main.do (accessed on 10 December 2023).
- Zitelli, V.; Sora, M.D.; Ferrini, F. Local and national regulations on light pollution in Italy. In Symposium-International Astronomical Union; Cambridge University Press: Cambridge, UK, 2001; Volume 196, pp. 111–116. [Google Scholar] [CrossRef]
- States Shut Out Light Pollution. Available online: https://www.ncsl.org/environment-and-natural-resources/states-shut-out-light-pollution (accessed on 10 December 2023).
- Zielinska-Dabkowska, K.M.; Xavia, K. Global Approaches to Reduce Light Pollution from Media Architecture and Non-Static, Self-Luminous LED Displays for Mixed-Use Urban Developments. Sustainability 2019, 11, 3446. [Google Scholar] [CrossRef]
- EN12464-2:2014; Light and Lighting-Lighting of Work Places—Part 2: Outdoor Workplaces. European Committee for Standardization: Brussels, Belgium, 2014.
- CIE 150: 2017; Guide on the Limitation of the Effects of Obtrusive Light from Outdoor Lighting Installations. 2nd ed. International Commission on Illumination: Vienna, Austria, 2017.
- ANSI/IES RP-39-19; Recommended Practice: Off-Roadway Sign Luminance. Illuminating Engineering Society: New York, NY, USA, 2019.
- The Light Pollution Prevention and Control Guidelines. Available online: https://www.env.go.jp/air/hikarigai-gaido-R3.pdf.pdf (accessed on 10 December 2023).
- Classification of Fluorescent Lamps and Light Emitting Diodes by Chromaticity and Colour Rendering Property. Available online: https://webdesk.jsa.or.jp/preview/pre_jis_z_09112_000_000_2019_e_ed10_ch.pdf (accessed on 10 December 2023).
- Buying Green! A Handbook on Green Public Procurement. Available online: https://ec.europa.eu/environment/gpp/buying_handbook_en.htm (accessed on 10 December 2023).
- Falchi, F.; Furgoni, R.; Gallaway, T.A.; Rybnikova, N.A.; Portnov, B.A.; Baugh, K.E.; Cinzano, P.; Elvidge, C.D. Light pollution in USA and Europe: The good, the bad and the ugly. J. Environ. Manag. 2019, 248, 109227. [Google Scholar] [CrossRef]
- Find a Dark Sky Place. Available online: https://www.darksky.org/our-work/conservation/idsp/finder/ (accessed on 26 May 2024).
- Search: New Hamp. Available online: https://www.darksky.org/?s=new+hamp (accessed on 10 December 2023).
- Kolláth, Z.; Dömény, J.; Kolláth, K.; Nagy, B. Qualifying lighting remodeling in a Hungarian city based on light pollution effects. J. Quant. Spectrosc. Radiat. Transf. 2016, 181, 46–51. [Google Scholar] [CrossRef]
- Ngarambe, J.; Kim, G. Sustainable lighting policies: The contribution of advertisement and decorative lighting to local light pollution in Seoul South Korea. Sustainability 2018, 10, 1007. [Google Scholar] [CrossRef]
- Morgan-Taylor, M.; Kim, J.T. Regulating Artificial Light at Night: A Comparison Between the South Korean and English Approaches. IJSL Int. J. Sustain. Light. 2016, 18, 21–31. [Google Scholar] [CrossRef]
- Zissis, G. Sustainable lighting and light pollution: A critical issue for the pre-sent generation, a challenge to the future. Sustainability 2020, 12, 4552. [Google Scholar] [CrossRef]
- The Statutory Nuisances (Miscellaneous Provisions) (Wales) Regulations 2007. Available online: http://www.legislation.gov.uk/wsi/2007/117/regulation/3/made (accessed on 10 December 2023).
- Schulte-Römer, N.; Meier, J.; Söding, M.; Dannemann, E. The LED paradox: How light pollution challenges experts to reconsider sustainable lighting. Sustainability 2019, 11, 6160. [Google Scholar] [CrossRef]
- Lyytimäki, J. Avoiding overly bright future: The systems intelligence perspective on the management of light pollution. Environ. Dev. 2015, 16, 4–14. [Google Scholar] [CrossRef]
- Kaushik, K.; Nair, S.; Ahamad, A. Studying light pollution as an emerging environmental concern in India. J. Urban Manag. 2022, 11, 392–405. [Google Scholar] [CrossRef]
Environmental Illumination Zone | Light on Properties | Luminaire Intensity | Upward Light Ratio | Luminance | |||
---|---|---|---|---|---|---|---|
Ev (lx) | I (cd) | RUL (%) | Lb (cd/m2) | Ls (cd/m2) | |||
Pre Curfew | Post Curfew | Pre Curfew | Post Curfew | Building Façade | Sign | ||
E1 | 2 | 0 | 2500 | 0 | 0 | 0 | 50 |
E2 | 5 | 1 | 7500 | 500 | 5 | 5 | 400 |
E3 | 10 | 2 | 10,000 | 1000 | 15 | 10 | 800 |
E4 | 25 | 5 | 25,000 | 2500 | 25 | 25 | 1000 |
Time | Authors | Research Objects | Key Findings |
---|---|---|---|
1970 | Walker et al. [16] | Brightness | Propose night sky brightness and condition of observatory sites |
1976 | Pike et al. [19] | Brightness; Population | Establish model of brightness–population relations |
1989 | Garstang et al. [20] | Brightness; Different cities | Establish model of brightness–population–ground reflectivity |
1991 | Garstang et al. [21] | Brightness; Atmosphere condition | Modify previous model method |
2013 | Puschnig et al. [22] | Brightness; Cloud | Typical night sky brightness in Berlin and night sky change in lunar cycles |
2014 | Cinzano et al. [23] | Energy distribution of light | Establish model of luminous flux and observation sites |
Time | Authors | Research Objects | Key Findings |
---|---|---|---|
2006 | Chalkias et al. [27] | Sky glows | Establish model of night sky brightness in urban areas |
2011 | Falchi et al. [28] | Night sky | Analyze characteristics of light pollution in night sky |
2013 | Elvidge et al. [29] | VIIRS image | Obtain actual color temperature of lighting facilities in land |
Time | Authors | Research Objects | Key Findings |
---|---|---|---|
2007 | Duriscoe et al. [33] | Zenith luminance | Discuss broadband measurement of the complex and variable night-sky spectrum |
2010 | Shen et al. [34] | Zenith luminance | Measure lighting environment in tunnel |
2011 | Aceituno et al. [35] | Sky; Cloud | Present the All-Sky Transmission Monitor (ASTMON) and prove its availability |
2014 | Spoelstra et al. [36] | Sky brightness in different areas | Develop a low-cost multi-filter instrument |
2016 | Falchi et al. [24] | Zenith luminance | Present the world atlas of artificial sky luminance by using light pollution propagation software |
Policy Name | Policy Content |
---|---|
Civil code | Prevent light pollution by “Neighbor nuisance system” |
Code de l’environment | Restrict damage harm caused by artificial light to people and the environment |
French light pollution law | Reduce light pollution from business offices and other non-residential buildings |
The Grenelle 2 act | Define the rules about the use of outdoor lighting installations |
Concerning the prevention, reduction, and limiting of light pollution | Reduce excessive interference to persons, animals, plants, and ecosystems |
Lighting Standard/Guidelines | Year Published | Environmental Zone | Luminance at Night (cd/m2) | Curfew Times |
---|---|---|---|---|
EN12464-2:2014 [49] called Light and Lighting—Lighting of Work Places, Part 2: Outdoor Work Places | 2014 | E4 | 25 (Building facade) | 1000 (sign) |
CIE 150: 2017 [50], the Guide on the Limitation of the Effects of Obstructive Light from Outdoor Lighting Installations | 2017 | E4 | 25 (Building facade) | 1000 (sign) |
ILP’s Professional Lighting Guide (PLG 05): The Brightness of Illuminated Advertisement | 2014 | E4 | 600 (up to 10 m2 illuminated area) | 300 (over 10 m2 illuminated area) |
ANSI/IES RP-39-19 [51], Recommended Practice: Off-Roadway Sign Luminance | 2019 | LZ2 | 40 | no |
IDA’s Guidance for Electronic Message Centers (EMCs) | 2019 | LZ2 | 40 | yes |
International Organization | Number of Ambient Brightness Partitions | Time Control Requirements | Control Indicators | Focus |
---|---|---|---|---|
Commission International de l’Eclairage | 5 | Before and after the curfew | Luminance, brightness, light intensity, and light ratio | Light and lanterns, advertising light, and acceptance surface |
Model Lighting Ordinance | 5 | -- | Light intensity, upper light through ratio, glare G index | Luminescence of lamps and lanterns |
Lighting Europe | 4 | Before and after the curfew; the curfew is recommended at 23:00 | Luminance, brightness, light intensity, and light ratio | Reducing the number of lamps, luminous or receptive surfaces of building facades and advertisements |
Zone | Zoning Instructions | State-Wide Default Area | Default Region with Increased Likelihood | Default Region with a Reduced Likelihood |
---|---|---|---|---|
LZ1 | Dark area | Government-designated parks, recreational areas, and wildlife conservation areas. Those that are fully contained within the higher lighting area may be considered by the local government as part of that lighting area. | Government-designated parks, recreational areas, wildlife reserves, or parts thereof. If included in such regions, it can be designated as LZ2 or LZ3. | Not applicable. |
LZ2 | Low brightness area | Rural areas as defined by the 2010 United States Census. | Special areas within the default LZ2 area may be designated as LZ3 or LZ4. Examples include special commercial areas located in rural areas or areas with special safety considerations. | Special areas and government-designated parks within the default LZ2 area may be designated as LZ1 by local jurisdictions to lower lighting standards; there is no size limit. |
LZ3 | Medium brightness area | Urban areas as defined in the 2010 US Census. | Special areas within the default LZ3 may be designated as LZ4 by the local jurisdiction for high-intensity nighttime use, such as entertainment or commercial areas or areas with special safety concerns that require very high light levels. | Special areas and government-designated parks within the default LZ3 area may be designated by local jurisdictions as LZ1 or LZ2; there is no size limit whatsoever. |
LZ4 | Each local jurisdiction has its own decisions | Each local jurisdiction has its own decisions. | Not applicable. | Not applicable. |
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Hao, Y.; Wang, P.; Zhang, Z.; Xu, Z.; Jia, D. A Review of the Characteristics of Light Pollution: Assessment Technique, Policy, and Legislation. Energies 2024, 17, 2750. https://doi.org/10.3390/en17112750
Hao Y, Wang P, Zhang Z, Xu Z, Jia D. A Review of the Characteristics of Light Pollution: Assessment Technique, Policy, and Legislation. Energies. 2024; 17(11):2750. https://doi.org/10.3390/en17112750
Chicago/Turabian StyleHao, Ying, Peiyao Wang, Zhongyao Zhang, Zhiming Xu, and Dagong Jia. 2024. "A Review of the Characteristics of Light Pollution: Assessment Technique, Policy, and Legislation" Energies 17, no. 11: 2750. https://doi.org/10.3390/en17112750
APA StyleHao, Y., Wang, P., Zhang, Z., Xu, Z., & Jia, D. (2024). A Review of the Characteristics of Light Pollution: Assessment Technique, Policy, and Legislation. Energies, 17(11), 2750. https://doi.org/10.3390/en17112750