| Records |
| Author |
Aulsebrook, A.E.; Jones, T.M.; Mulder, R.A.; Lesku, J.A. |
| Title |
Impacts of artificial light at night on sleep: A review and prospectus |
Type |
Journal Article |
| Year |
2018 |
Publication |
Journal of Experimental Zoology. Part A, Ecological and Integrative Physiology |
Abbreviated Journal |
J Exp Zool A Ecol Integr Physiol |
| Volume |
329 |
Issue |
8-9 |
Pages |
409-418 |
| Keywords |
Animals; Human Activities; Review |
| Abstract |
Natural cycles of light and darkness govern the timing of most aspects of animal behavior and physiology. Artificial light at night (ALAN)-a recent and pervasive form of pollution-can mask natural photoperiodic cues and interfere with biological rhythms. One such rhythm vulnerable to perturbation is the sleep-wake cycle. ALAN may greatly influence sleep in humans and wildlife, particularly in animals that sleep predominantly at night. There has been some recent evidence for impacts of ALAN on sleep, but critical questions remain. Some of these can be addressed by adopting approaches already entrenched in sleep research. In this paper, we review the current evidence for impacts of ALAN on sleep, highlight gaps in our understanding, and suggest opportunities for future research. |
| Address |
La Trobe University, School of Life Sciences, Melbourne, Victoria, Australia |
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English |
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| ISSN |
2471-5638 |
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| Notes |
PMID:29869374 |
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Call Number  |
GFZ @ kyba @ |
Serial |
1933 |
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| Author |
Kumar, P.; Sajjad, H.; Joshi, P.K.; Elvidge, C.D.; Rehman, S.; Chaudhary, B.S.; Tripathy, B.R.; Singh, J.; Pipal, G. |
| Title |
Modeling the luminous intensity of Beijing, China using DMSP-OLS night-time lights series data for estimating population density |
Type |
Journal Article |
| Year |
2018 |
Publication |
Physics and Chemistry of the Earth, Parts A/B/C |
Abbreviated Journal |
Physics and Chemistry of the Earth, Parts A/B/C |
| Volume |
109 |
Issue |
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Pages |
31-39 |
| Keywords |
Remote Sensing |
| Abstract |
Various scientific researches were conducted to monitor human activities and natural phenomena with the availability of various night time satellite data such as Defense Meteorological Satellite Program (DMPS). Population growth especially in a faster growing economy like China is an important indicator for assessing socio-economic development, urban planning and environmental management. Thus, spatial distribution of population is instrumental in assessing growth and developmental activities in Beijing city of China. The satellite observation data derived from Defense Meteorological Satellite Program (DMSP) was utilized to estimate population density through the measurement of light flux with radiometric recording. The data was calibrated using C0, C1, C2 parameters before processing. Population density of Beijing city was estimated using light volume of this calibrated data. Regression analysis between urban population and light volume revealed high correlation (r2=0.89)r2=0.89). Thus, population density can effectively be estimated using light intensity. The model used for estimating urban population density can effectively be utilized for other major cities of the world. |
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1474-7065 |
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GFZ @ kyba @ |
Serial |
1934 |
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| Author |
Netzel, H.; Netzel, P. |
| Title |
High-resolution map of light pollution |
Type |
Journal Article |
| Year |
2018 |
Publication |
Journal of Quantitative Spectroscopy and Radiative Transfer |
Abbreviated Journal |
Journal of Quantitative Spectroscopy and Radiative Transfer |
| Volume |
221 |
Issue |
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Pages |
300-308 |
| Keywords |
Skyglow |
| Abstract |
In 1976 Berry created a very simple model describing artificial night sky brightness due to light emitted by cities. He used several assumptions and simplifications, due to which, map calculated with this model does not properly describes the night sky brightness. Especially, this is the case for highly urbanized areas. We used Berry’s idea, but we changed some assumptions and used very different input data. As in Berry’s approach, we focused on total sky brightness and did not analyze spectral properties of artificial light emission. Resultant map has a resolution of 100 meters, and so far it is the most detailed map of night sky brightness. Moreover we included the shadowing effect, which is very important on mountainous areas. Map is calculated for Poland and for several other places in Europe. We also describe the comparison between calculated values and measurements for different areas in Europe. Also we present comparison between our approach and the new world atlas of artificial night sky brightness. |
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0022-4073 |
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GFZ @ kyba @ |
Serial |
1937 |
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| Author |
Fehrer, D.; Krarti, M. |
| Title |
Spatial distribution of building energy use in the United States through satellite imagery of the earth at night |
Type |
Journal Article |
| Year |
2018 |
Publication |
Building and Environment |
Abbreviated Journal |
Building and Environment |
| Volume |
142 |
Issue |
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Pages |
252-264 |
| Keywords |
remote sensing |
| Abstract |
Despite the importance of geospatial analysis of energy use in buildings, the data available for such exercises is limited. A potential solution is to use geospatial information, such as that obtained from satellites, to disaggregate building energy use data to a more useful scale. Many researchers have used satellite imagery to estimate the extent of human activities, including building energy use and population distribution. Much of the reported work has been carried out in rapidly developing countries such as India and China where urban development is dynamic and not always easy to measure. In countries with less rapid urbanization, such as the United States, there is still value in using satellite imagery to estimate building energy use for the purposes of identifying energy efficiency opportunities and planning electricity transmission. This study evaluates nighttime light imagery obtained from the VIIRS instrument aboard the SUOMI NPP satellite as a predictor of building energy use intensity within states, counties, and cities in the United States. It is found that nighttime lights can explain upwards of 90% of the variability in energy consumption in the United States, depending on conditions and geospatial scale. The results of this research are used to generate electricity and fuel consumption maps of the United States with a resolution of less than 200 square meters. The methodologies undertaken in this study can be replicated globally to create more opportunities for geospatial energy analysis without the hurdles often associated with disaggregated building energy use data collection. |
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0360-1323 |
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GFZ @ kyba @ |
Serial |
1938 |
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| Author |
Longcore, T.; Rodriguez, A.; Witherington, B.; Penniman, J.F.; Herf, L.; Herf, M. |
| Title |
Rapid assessment of lamp spectrum to quantify ecological effects of light at night |
Type |
Journal Article |
| Year |
2018 |
Publication |
Journal of Experimental Zoology. Part A, Ecological and Integrative Physiology |
Abbreviated Journal |
J Exp Zool A Ecol Integr Physiol |
| Volume |
329 |
Issue |
8-9 |
Pages |
511-521 |
| Keywords |
Lighting; Ecology; Animals; Vision |
| Abstract |
For many decades, the spectral composition of lighting was determined by the type of lamp, which also influenced potential effects of outdoor lights on species and ecosystems. Light-emitting diode (LED) lamps have dramatically increased the range of spectral profiles of light that is economically viable for outdoor lighting. Because of the array of choices, it is necessary to develop methods to predict the effects of different spectral profiles without conducting field studies, especially because older lighting systems are being replaced rapidly. We describe an approach to predict responses of exemplar organisms and groups to lamps of different spectral output by calculating an index based on action spectra from behavioral or visual characteristics of organisms and lamp spectral irradiance. We calculate relative response indices for a range of lamp types and light sources and develop an index that identifies lamps that minimize predicted effects as measured by ecological, physiological, and astronomical indices. Using these assessment metrics, filtered yellow-green and amber LEDs are predicted to have lower effects on wildlife than high pressure sodium lamps, while blue-rich lighting (e.g., K >/= 2200) would have greater effects. The approach can be updated with new information about behavioral or visual responses of organisms and used to test new lighting products based on spectrum. Together with control of intensity, direction, and duration, the approach can be used to predict and then minimize the adverse effects of lighting and can be tailored to individual species or taxonomic groups. |
| Address |
f.lux Software LLC, Los Angeles, California |
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English |
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Edition |
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2471-5638 |
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| Notes |
PMID:29894022 |
Approved |
no |
| Call Number |
GFZ @ kyba @ |
Serial |
1940 |
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