Records |
Author |
Bará, S.; Rodríguez-Arós, Á.; Pérez, M.; Tosar, B.; Lima, R.; Sánchez de Miguel, A.; Zamorano, J. |
Title |
Estimating the relative contribution of streetlights, vehicles, and residential lighting to the urban night sky brightness |
Type |
Journal Article |
Year |
2018 |
Publication |
Lighting Research & Technology |
Abbreviated Journal |
Lighting Res & Tech |
Volume |
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Issue |
October 2018 |
Pages |
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Keywords |
Remote Sensing; traffic; Roadway lighting |
Abstract |
Under stable atmospheric conditions the brightness of the urban sky varies throughout the night following the time course of the anthropogenic emissions of light. Different types of artificial light sources (e.g. streetlights, residential, and vehicle lights) have specific time signatures, and this feature makes it possible to estimate the amount of brightness contributed by each of them. Our approach is based on transforming the time representation of the zenithal night sky brightness into a modal expansion in terms of the time signatures of the different sources of light. The modal coefficients, and hence the absolute and relative contributions of each type of source, can be estimated by means of a linear least squares fit. A practical method for determining the time signatures of different contributing sources is also described, based on wide-field time-lapse photometry of the urban nightscape. Our preliminary results suggest that, besides the dominant streetlight contribution, artificial light leaking out of the windows of residential buildings may account for a significant share of the time-varying part of the zenithal night sky brightness at the measurement locations, whilst the contribution of the vehicle lights seems to be significantly smaller. |
Address |
Área de Óptica, Dept. Física Aplicada, Facultade de Óptica e Optometría, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Galicia, Spain. salva.bara(at)usc.es |
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SAGE |
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English |
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English |
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Edition |
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ISSN |
1477-1535 |
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Call Number |
GFZ @ kyba @ |
Serial |
2052 |
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Author |
Kawasaki, A.; Wisniewski, S.; Healey, B.; Pattyn, N.; Kunz, D.; Basner, M.; Münch, M. |
Title |
Impact of long-term daylight deprivation on retinal light sensitivity, circadian rhythms and sleep during the Antarctic winter |
Type |
Journal Article |
Year |
2018 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci Rep |
Volume |
8 |
Issue |
1 |
Pages |
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Keywords |
Human Health |
Abstract |
Long-term daylight deprivation such as during the Antarctic winter has been shown to lead to delayed sleep timing and sleep fragmentation. We aimed at testing whether retinal sensitivity, sleep and circadian rest-activity will change during long-term daylight deprivation on two Antarctic bases (Concordia and Halley VI) in a total of 25 healthy crew members (mean age: 34 ± 11y; 7f). The pupil responses to different light stimuli were used to assess retinal sensitivity changes. Rest-activity cycles were continuously monitored by activity watches. Overall, our data showed increased pupil responses under scotopic (mainly rod-dependent), photopic (mainly L-/M-cone dependent) as well as bright-blue light (mainly melanopsin-dependent) conditions during the time without direct sunlight. Circadian rhythm analysis revealed a significant decay of intra-daily stability, indicating more fragmented rest-activity rhythms during the dark period. Sleep and wake times (as assessed from rest-activity recordings) were significantly delayed after the first month without sunlight (p < 0.05). Our results suggest that during long-term daylight deprivation, retinal sensitivity to blue light increases, whereas circadian rhythm stability decreases and sleep-wake timing is delayed. |
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ISSN |
2045-2322 |
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GFZ @ kyba @ |
Serial |
2053 |
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Author |
Davies, T.W.; Smyth, T. |
Title |
Why artificial light at night should be a focus for global change research in the 21st century |
Type |
Journal Article |
Year |
2018 |
Publication |
Global Change Biology |
Abbreviated Journal |
Glob Chang Biol |
Volume |
24 |
Issue |
3 |
Pages |
872-882 |
Keywords |
Commentary; Animals; Plants |
Abstract |
The environmental impacts of artificial light at night have been a rapidly growing field of global change science in recent years. Yet, light pollution has not achieved parity with other global change phenomena in the level of concern and interest it receives from the scientific community, government and nongovernmental organizations. This is despite the globally widespread, expanding and changing nature of night-time lighting and the immediacy, severity and phylogenetic breath of its impacts. In this opinion piece, we evidence 10 reasons why artificial light at night should be a focus for global change research in the 21st century. Our reasons extend beyond those concerned principally with the environment, to also include impacts on human health, culture and biodiversity conservation more generally. We conclude that the growing use of night-time lighting will continue to raise numerous ecological, human health and cultural issues, but that opportunities exist to mitigate its impacts by combining novel technologies with sound scientific evidence. The potential gains from appropriate management extend far beyond those for the environment, indeed it may play a key role in transitioning towards a more sustainable society. |
Address |
Plymouth Marine Laboratory, Plymouth, Devon, UK |
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English |
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ISSN |
1354-1013 |
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Notes |
PMID:29124824 |
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no |
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GFZ @ kyba @ |
Serial |
2054 |
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Author |
Elvidge, C.D.; Bazilian, M.D.; Zhizhin, M.; Ghosh, T.; Baugh, K.; Hsu, F.-C. |
Title |
The potential role of natural gas flaring in meeting greenhouse gas mitigation targets |
Type |
Journal Article |
Year |
2018 |
Publication |
Energy Strategy Reviews |
Abbreviated Journal |
Energy Strategy Reviews |
Volume |
20 |
Issue |
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Pages |
156-162 |
Keywords |
Remote Sensing |
Abstract |
In this paper, we compare 2015 satellite-derived natural gas (gas) flaring data with the greenhouse gas reduction targets presented by those countries in their nationally determined contributions (NDC) under the United Nations Framework Convention on Climate Change (UNFCCC) Paris Agreement. Converting from flaring to utilization is an attractive option for reducing emissions. The analysis rates the potential role of reduction of gas flaring in meeting country-specific NDC targets. The analysis includes three categories of flaring: upstream in oil and gas production areas, downstream at refineries and transport facilities, and industrial (e.g., coal mines, landfills, water treatment plants, etc.). Upstream flaring dominates with 90.6% of all flaring. Global flaring represents less than 2% of the NDC reduction target. However, most gas flaring is concentrated in a limited set of countries, leaving the possibility that flaring reduction could contribute a sizeable portion of the NDC targets for specific countries. States that could fully meet their NDC targets through gas flaring reductions include: Yemen (240%), Algeria (197%), and Iraq (136%). Countries which could meet a substantial portion of their NDC targets with gas flaring reductions include: Gabon (94%), Algeria (48%), Venezuela (47%), Iran (34%), and Sudan (33%). On the other hand, several countries with large flared gas volumes could only meet a small portion of their NDC targets from gas flaring reductions, including the Russian Federation (2.4%) and the USA (0.1%). These findings may be useful in guiding national level efforts to meet NDC greenhouse gas reduction targets. |
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2211467X |
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GFZ @ kyba @ |
Serial |
2055 |
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Author |
Li, X.; Zhao, L.; Li, D.; Xu, H. |
Title |
Mapping Urban Extent Using Luojia 1-01 Nighttime Light Imagery |
Type |
Journal Article |
Year |
2018 |
Publication |
Sensors (Basel, Switzerland) |
Abbreviated Journal |
Sensors (Basel) |
Volume |
18 |
Issue |
11 |
Pages |
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Keywords |
Instrumentation; Remote Sensing |
Abstract |
Luojia 1-01 satellite, launched on 2 June 2018, provides a new data source of nighttime light at 130 m resolution and shows potential for mapping urban extent. In this paper, using Luojia 1-01 and VIIRS nighttime light imagery, we compared several methods for extracting urban areas, including Human Settlement Index (HSI), Simple Thresholding Segmentation (STS) and SVM supervised classification. According to the accuracy assessment, the HSI method using LJ1-01 data had the best performance in urban extent extraction, which presented the largest Kappa Coefficient value, 0.834, among all the results. For the urban areas extracted by VIIRS based HSI method, the largest Kappa Coefficient value was 0.772. In contrast, the largest Kappa Coefficient values obtained by STS method were 0.79 and 0.7512 respectively when using LJ1-01 and VIIRS data, while for SVM method the values were 0.7829 and 0.7486 when using Landsat-LJ and Landsat-VIIRS composite data respectively. The experimented results demonstrated that the utilization of nighttime light imagery can largely improve the accuracy of urban extent extraction and LJ1-01 data, with a higher resolution and more abundant spatial information, can lead to better identification results than its predecessors. |
Address |
Key Laboratory of the Ministry of Land and Resources for Law Evaluation Engineering, Wuhan 430074, China. xuhuimin1985_2008@163.com |
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1424-8220 |
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PMID:30380616 |
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GFZ @ kyba @ |
Serial |
2056 |
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