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Author Maggio, R.; Vaglini, F.; Rossi, M.; Fasciani, I.; Pietrantoni, I.; Marampon, F.; Corsini, G.U.; Scarselli, M.; Millan, M.J.
Title Parkinson's disease and light: The bright and the Dark sides Type Journal Article
Year 2019 Publication Brain Research Bulletin Abbreviated Journal Brain Res Bull
Volume (down) 150 Issue Pages 290-296
Keywords Humah Health; Light pollution; Near-infrared light; Parkinson's disease
Abstract Light exerts a major influence on human behaviour and health, mainly owing to the importance of sight in our lives, but also due to its entrainment of daily rhythms via the suprachiasmatic nucleus, the master pacemaker. Light may also be a useful clinical medium, as in lumino-therapy for the improvement of depressed mood. Further, as discussed herein, local application of near infrared light to the substantia nigra exerts neuroprotective properties in models of Parkinson's disease. However, light also has a darker side. In general, as regards the growing problem to human health – and the natural world – of excess exposure to artificial light: both urban glow and ubiquitous screens. Moreover, over-exposure to light, in particular fluorescent light, disrupts circadian rhythms and sleep, and may damage dopaminergic neurons. Is it, then, a neglected risk factor for Parkinson's disease? The present article discusses epidemiological and experimental evidence supporting beneficial and potentially deleterious impact of light on dopaminergic neurons and highlights the mechanisms whereby light might influence neuronal tissue.
Address Centre for Innovation in Neuropsychiatry, Institut de Recherches Servier, 125, Chemin de Ronde, 78290, Croissy sur Seine, France. Electronic address: mark.millan@servier.com
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Language English Summary Language Original Title
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ISSN 0361-9230 ISBN Medium
Area Expedition Conference
Notes PMID:31226407 Approved no
Call Number GFZ @ kyba @ Serial 2586
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Author Zhang, W.; Jiang, L.; Cui, Y.; Xu, Y.; Wang, C.; Yu, J.; Streets, D.G.; Lin, B.
Title Effects of urbanization on airport CO2 emissions: A geographically weighted approach using nighttime light data in China Type Journal Article
Year 2019 Publication Resources, Conservation and Recycling Abbreviated Journal Resources, Conservation and Recycling
Volume (down) 150 Issue Pages 104454
Keywords Remote Sensing
Abstract Regional disparities in carbon dioxide (CO2) emissions from airports at the city level are of increasing importance for low-carbon development of the civil aviation sector. However, CO2 emissions from airport operations have rarely been estimated and discussed. We investigate the main driving forces of airport CO2 emissions by using Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) models, separately, to investigate whether urbanization drives airport CO2 emissions and to investigate spatial heterogeneity at the city level. Nighttime light (NTL) data from satellite observations are adopted as a proxy for urbanization. We obtained energy consumption data by end-use purpose for 70 airports in China and calculated the CO2 emissions from on-ground airport operations. The median CO2 emissions of the 70 sample airports are estimated to be 15.9 million tonnes for 2015. Results from the GWR model indicate that airport CO2 emissions are affected by five main factors: urbanization, foreign direct investment, the share of tertiary industry in gross domestic output, passenger turnover of civil aviation and passenger turnover of railways. The elasticity of urbanization shows an increasing trend from the east of China to the west. The spatial heterogeneity of the CO2 emissions of the five airport clusters that are located in five urban agglomerations is discussed. In order to achieve effective reductions of CO2 emissions from airports, policy-makers should consider the spatial heterogeneity of the major driving factors of carbon emissions in different regions to avoid carbon lock-in.
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Series Volume Series Issue Edition
ISSN 0921-3449 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2657
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Author Edison, T.A.
Title The dangers of electric lighting Type Journal Article
Year 1889 Publication The North American Review Abbreviated Journal
Volume (down) 149 Issue 396 Pages 625-634
Keywords Public Safety
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2377
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Author Richter, A.; Ng, K.T.W.; Karimi, N.
Title 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 (down) 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.
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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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Author Zhao, N.; Cao, G.; Zhang, W.; Samson, E.L.
Title Tweets or nighttime lights: Comparison for preeminence in estimating socioeconomic factors Type Journal Article
Year 2018 Publication ISPRS Journal of Photogrammetry and Remote Sensing Abbreviated Journal ISPRS Journal of Photogrammetry and Remote Sensing
Volume (down) 146 Issue Pages 1-10
Keywords Remote Sensing
Abstract Nighttime lights (NTL) imagery is one of the most commonly used tools to quantitatively study socioeconomic systems over large areas. In this study we aim to use location-based social media big data to challenge the primacy of NTL imagery on estimating socioeconomic factors. Geo-tagged tweets posted in the contiguous United States in 2013 were retrieved to produce a tweet image with the same spatial resolution of the NTL imagery (i.e., 0.00833° × 0.00833°). Sum tweet (the total number of tweets) and sum light (summed DN value of the NTL image) of each state or county were obtained from the tweets and the NTL images, respectively, to estimate three important socioeconomic factors: personal income, electric power consumption, and fossil fuel carbon dioxide emissions. Results show that sum tweet is a better measure of personal income and electric power consumption while carbon dioxide emissions can be more accurately estimated by sum light. We further exploited that African-Americans adults are more likely than White seniors to post geotagged tweets in the US, yet did not find any significant correlations between proportions of the subpopulations and the estimation accuracy of the socioeconomic factors. Existence of saturated pixels and blooming effects and failure to remove gas flaring reduce quality of NTL imagery in estimating socioeconomic factors, however, such problems are nonexistent in the tweet images. This study reveals that the number of geo-tagged tweets has great potential to be deemed as a substitute of brightness of NTL to assess socioeconomic factors over large geographic areas.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0924-2716 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 1994
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