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Author Mindel, J.W.; Rojas, S.L.; Kline, D.; Bao, S.; Rezai, A.; Corrigan, J.D.; Nelson, R.J.; D, P.; Magalang, U.J.
Title (up) 0038 Sleeping with Low Levels of Artificial Light at Night Increases Systemic Inflammation in Humans Type Journal Article
Year 2019 Publication Sleep Abbreviated Journal
Volume 42 Issue Supplement_1 Pages A15-A16
Keywords Human Health
Abstract Introduction

Artificial light at night (ALAN) has become a ubiquitous part of our society. Animal studies have shown that ALAN exposure promotes a depressive-like mood and increases peripheral inflammation likely due to circadian disruption. We hypothesized that sleeping with ALAN will increase systemic inflammation in humans.

Methods

We enrolled 64 subjects [32 with obstructive sleep apnea (OSA) adherent to treatment and 32 without sleep disorders] in a randomized, crossover study to determine the effects of sleeping with ALAN (40 lux) or the usual dark condition (control) for 7 nights at home. Sleeping with ALAN was confirmed by an actigraph with an ambient light sensor. Outcome measurements were done at baseline and after sleeping in each condition. The primary outcome was changes in the high-sensitivity C-reactive protein (hsCRP) levels. Secondary outcomes include scores on the Pittsburgh Sleep Quality Index (PSQI), Center for Epidemiologic Studies Depression Scale (CES-D), Functional Outcomes of Sleep Questionnaire-10 (FOSQ-10), and Epworth Sleepiness Scale (ESS); Psychomotor Vigilance Testing (PVT); actigraphic sleep measures; and homeostatic model assessment of insulin resistance (HOMA-IR). A random effects linear regression model was used to assess differences adjusting for schedule, visit, and baseline levels. Post-hoc analyses combined results from OSA and non-OSA subjects.

Results

Fifty-eight (30 OSA and 28 non-OSA) subjects, aged 38.4±14.9 years, 33 of whom are male completed the protocol. A log transformation was used so the difference in hsCRP was expressed as a mean ratio. In the combined analysis, the mean hsCRP was 39% higher with ALAN than control (mean ratio=1.39; 95% CI: 1.08-1.80; p=0.012). The effects of ALAN for OSA and non-OSA subjects were not different. ALAN increased the CES-D score by 1.81 (p=0.017) and ESS score by 0.62 (p=0.071) points, and decreased the FOSQ-10 score by 0.36 (p=0.038) points while the PSQI score was unchanged (p=0.860). There were no significant differences in the PVT values, actigraphic sleep measures, or HOMA-IR.

Conclusion

Sleeping with ALAN for seven days significantly increased hsCRP levels and modestly increased depression scores in humans.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0161-8105 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2322
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Author Gong, P.; Li, X.; Zhang, W.
Title (up) 40-year (1978-2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing Type Journal Article
Year 2019 Publication Science Bulletin Abbreviated Journal Science Bulletin
Volume in press Issue Pages
Keywords Remote Sensing
Abstract Impervious surfaces are the most significant feature of human settlements. Timely, accurate, and frequent information on impervious surfaces is critical in both social-economic and natural environment applications. Over the past 40 years, impervious surface areas in China have grown rapidly. However, annual maps of impervious areas in China with high spatial details do not exist during this period. In this paper, we made use of reliable impervious surface mapping algorithms that we published before and the Google Earth Engine (GEE) platform to address this data gap. With available data in GEE, we were able to map impervious surfaces over the entire country circa 1978, and during 1985-2017 at an annual frequency. The 1978 data were at 60 m resolution, while the 1985-2017 data were in 30 m resolution. For the 30 m resolution data, we evaluated the accuracies for 1985, 1990, 1995, 2000, 2005, 2010, and 2015. Overall accuracies reached more than 90%. Our results indicate that the growth of impervious surface in China was not only fast but also considerably exceeding the per capita impervious surface area in developed countries like Japan. The 40-year continuous and consistent impervious surface distribution data in China would generate widespread interests in the research and policy-making community. The impervious surface data can be freely downloaded from http://data.ess.tsinghua.edu.cn.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2095-9273 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2321
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Author Rawson, H.E.
Title (up) A bird's song in relation to light Type Journal Article
Year 1932 Publication Transactions of the Hertfordshire Natural History Society Field Club Abbreviated Journal
Volume 17 Issue Pages 363-365
Keywords Animals
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2423
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Author Rossi, F.; Bonamente, E.; Nicolini, A.; Anderini, E.; Cotana, F.
Title (up) A carbon footprint and energy consumption assessment methodology for UHI-affected lighting systems in built areas Type Journal Article
Year 2016 Publication Energy and Buildings Abbreviated Journal Energy and Buildings
Volume 114 Issue Pages 96-103
Keywords Remote Sensing; Energy
Abstract This paper investigates the effects of urban heat island (UHI) on outdoor lighting systems in terms of GHG emissions: a novel methodology is proposed to assess the carbon footprint (CF) change of lighting services in built areas caused by UHI-induced ΔT with particular focus on the evaluation of the energy consumption. The methodology can be applied also to other activities affected by the UHI, such as HVAC and transport systems. In particular, ΔCF was introduced by a two-fold approach: the quantification of the CF change due to UHI (as difference between CF in an UHI-affected case and CF for an UHI-less case) and the CF change produced by a 1 °C temperature change. A focus on LED lamps was developed: the lifetime of LEDs exponentially decreases with increasing temperature and the luminous flux exponentially decays with operation time. UHI (i.e. the increase in ambient temperature) affects the lifetime and the luminous flux of lamps producing higher energy consumption and higher replacement rates. Results showed that a positive ΔT due to UHI produces a positive ΔCF, which also becomes economically relevant in long-term scenarios. A case study was analyzed by applying the proposed methodology to Rome outdoor public lighting.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0378-7788 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2483
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Author Richter, A.; Ng, K.T.W.; Karimi, N.
Title (up) A data driven technique applying GIS, and remote sensing to rank locations for waste disposal site expansion Type Journal Article
Year 2019 Publication Resources, Conservation and Recycling Abbreviated Journal Resources, Conservation and Recycling
Volume 149 Issue Pages 352-362
Keywords Remote Sensing
Abstract Landfilling is the most common method for final treatment of municipal solid waste worldwide. Canadians generated 973 kg/cap of waste in 2016, and 73% of that was sent to landfills or incinerators. This study proposes a novel method which combines remote sensing and vector data to rank the suitability of current landfill sites and their area of influence for expansion in Saskatchewan, Canada; where there are currently more than 500 active landfills. This study found that using average normalized data, 55.3% of the land in the study area was suitable or moderately suitable for landfill expansion while 45% of the area was unsuitable for landfill expansion. Polygon 32, an area dominated by agriculture and pasture land, is the most suitable for landfill expansion based on the mean normalized rank and was ranked 9th (out of 39) in terms of standard deviation. Polygon 27 is the least suitable for landfill expansion, having the largest mean normalized rank, and was ranked 38th (out of 39) in terms of standard deviation. This method is advantageous compared to other decision-making tools which rely on expert opinion. This method relies solely on remote sensing and vector data; but is flexible enough that weighting of data sets can be applied by policy makers if so desired. Results show that using remote sensing data and vector data together are capable of capturing distinctly different aspects of the study area, and that vector data can be used as a proxy for imagery where cloud cover is present.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0921-3449 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2582
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