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Author Sun, B.; Zhang, Y.; Zhou, Q.; Gao, D. url  doi
openurl 
  Title Street-Scale Analysis of Population Exposure to Light Pollution Based on Remote Sensing and Mobile Big Data-Shenzhen City as a Case Type Journal Article
  Year (down) 2020 Publication Sensors (Basel, Switzerland) Abbreviated Journal Sensors (Basel)  
  Volume 20 Issue 9 Pages  
  Keywords Remote Sensing; Luojia 1-01; NTL remote sensing; light pollution; population exposure to light pollution; residential area  
  Abstract Most studies on light pollution are based on light intensity retrieved from nighttime light (NTL) remote sensing with less consideration of the population factors. Furthermore, the coarse spatial resolution of traditional NTL remote sensing data limits the refined applications in current smart city studies. In order to analyze the influence of light pollution on populated areas, this study proposes an index named population exposure to light pollution (PELP) and conducts a street-scale analysis to illustrate spatial variation of PELP among residential areas in cites. By taking Shenzhen city as a case, multi-source data were combined including high resolution NTL remote sensing data from the Luojia 1-01 satellite sensor, high-precision mobile big data for visualizing human activities and population distribution as well as point of interest (POI) data. Results show that the main influenced areas of light pollution are concentrated in the downtown and core areas of newly expanded areas with obvious deviation corrected like traditional serious light polluted regions (e.g., ports). In comparison, commercial-residential mixed areas and village-in-city show a high level of PELP. The proposed method better presents the extent of population exposure to light pollution at a fine-grid scale and the regional difference between different types of residential areas in a city.  
  Address TalkingData Co., Ltd., Beijing 100027, China  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1424-8220 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:32403250 Approved no  
  Call Number GFZ @ kyba @ Serial 2921  
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Author Yue, Y.; Tian, L.; Yue, Q.; Wang, Z. url  doi
openurl 
  Title Spatiotemporal Variations in Energy Consumption and Their Influencing Factors in China Based on the Integration of the DMSP-OLS and NPP-VIIRS Nighttime Light Datasets Type Journal Article
  Year (down) 2020 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 12 Issue 7 Pages 1151  
  Keywords Remote Sensing  
  Abstract With the speedy growth of economic development, the imbalance of energy supply and demand pose a critical challenge for the energy security of our country. Meanwhile, the increasing and excessive energy consumption lead to the greenhouse effect and atmospheric pollution, greatly threatening the survival and development of human beings. This study integrated two nighttime light remote sensing datasets, namely Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) data and Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) data, to extend the temporal coverage of the study. Then, the distributions of China’s energy consumption from 1995 to 2016 at a 1-km resolution were estimated using different models and the spatiotemporal variations of energy consumption were explored on the basis of the best estimated results. Next, the factors influencing China’s energy intensity on the provincial level were investigated based on the spatial econometric model. The results show that: (1) The integrated nighttime light datasets can be successfully applied to estimate the dynamic changes of energy consumption. Moreover, the panel data model established in our research performed better than the quadratic polynomial model. (2) During the observation period, the energy consumption in China significantly increased, especially in the Yangtze River Delta, the Pearl River Delta, the Beijing–Tianjin–Hebei region, eastern coastal cities, and provincial capitals. (3) Different from the random spatial distribution pattern of energy consumption on the provincial level, the spatial distribution of energy consumption on the prefectural level has significant clusters, and its spatial agglomeration was strengthened year by year during the research period. (4) The spatial Durbin model (SDM) with a spatial fixed effect has been proved to be more suitable to explore the impact mechanism of China’s energy consumption. Among the four socio-economic factors, industrial structure has the greatest impact on the provincial energy intensity in China. Moreover, the changes in industrial structure and foreign direct investment (FDI) can not only influence the local energy intensity but also affect the energy intensity of the neighboring provinces.  
  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 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2922  
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Author Linares, H.; Masana, E.; Ribas, S.J.; Aubé, M.; Simoneau, A.; Bará, S. url  doi
openurl 
  Title Night sky brightness simulation over Montsec protected area Type Journal Article
  Year (down) 2020 Publication Journal of Quantitative Spectroscopy and Radiative Transfer Abbreviated Journal Journal of Quantitative Spectroscopy and Radiative Transfer  
  Volume 249 Issue Pages 106990  
  Keywords Skyglow  
  Abstract Night sky brightness over Montsec Observatory (north-east of Spain) has been computed and checked against measurements using Illumina numerical model [2]. In a previous publication [20] the methodology was validated and light pollution received in the observatory coming from a unique city was computed. Here we present a simulation that includes all the sources that has a significant impact over the quality of the night sky in this area. The decision of which sources should be included in the simulations was taken following the methodology explained by [6]: using a point spread function (PSF) as a simple approach to estimate which sources are brightening the sky dome over the observer. An ad hoc PSF derived with Illumina was used with the purpose of avoiding to have to rely on already existing empirical PSF. The resulting PSF can be used in any location with similar atmospheric conditions. Differences in the spectrum of the lamps can be accounted easily by adjusting a spectrum scale factor. Illumina simulates the artificial sky brightness received (W/sr/m2) by an observer from any direction. Adding the natural sky brightness allows to compare the simulations to measurements taken with different instrumentation. In our case simulations were checked against ASTMON, SQC and SQM measurements. They show a good agreement both in absolute values and in geographical patterns for the three filters studied, B, V and R. The methodology presented opens many possibilities, such as increasing the reliability of the maps that point out the light pollution main contributors for any location, and reducing the amount of time needed to perform an accurate simulation of the night sky brightness.  
  Address  
  Corporate Author Thesis  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0022-4073 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2923  
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Author Esaki, Y.; Obayashi, K.; Saeki, K.; Fujita, K.; Iwata, N.; Kitajima, T. url  doi
openurl 
  Title Association between light exposure at night and manic symptoms in bipolar disorder: cross-sectional analysis of the APPLE cohort Type Journal Article
  Year (down) 2020 Publication Chronobiology International Abbreviated Journal Chronobiol Int  
  Volume in press Issue Pages in press  
  Keywords Human Health; Bipolar disorder; circadian rhythm; dark; light at night; manic symptom  
  Abstract Previous studies have found that keeping the room dark at night was associated with a decrease in manic symptoms for patients with bipolar disorder (BD). However, the association between light at night of real-life conditions and manic symptoms is unclear. We investigated the association between bedroom light exposure at night and manic symptoms in BD patients. One-hundred and eighty-four outpatients with BD participated in this cross-sectional study. The average light intensity at night during sleep was evaluated using a portable photometer for seven consecutive nights. Manic symptoms were assessed using the Young Mania Rating Scale (YMRS), and scores >/=5 were treated as a “hypomanic state.” The median (interquartile range) YMRS score was 2.0 (0-5.0), and 52 (28.2%) participants were in a hypomanic state. The prevalence of a hypomanic state was significantly higher in the participants with an average light intensity at night exposure of >/=3 lux than in those with <3 lux (36.7% versus 21.9%; P = .02). In multivariable logistic regression analysis adjusted for BD type, depressive symptoms, sleep duration, and daytime physical activity, the odds ratio (OR) for a hypomanic state was significantly higher for the participants with an average light intensity at night exposure of >/=3 lux than for those with <3 lux (OR: 2.15, 95% confidence interval: 1.09-4.22, P = .02). This association remained significant at the cutoff value of YMRS score >/=6 (OR: 2.51, 95% confidence interval: 1.15-5.46; P = .02). The findings of this study indicate bedroom light exposure at night is significantly associated with manic symptoms in BD patients. Although the results of this cross-sectional investigation do not necessarily imply causality, they may serve to inform beneficial nonpharmacological intervention and personalized treatment of BD patients.  
  Address Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0742-0528 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:32238002 Approved no  
  Call Number GFZ @ kyba @ Serial 2924  
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Author Chang, S.; Wang, J.; Zhang, F.; Niu, L.; Wang, Y. url  doi
openurl 
  Title A study of the impacts of urban expansion on vegetation primary productivity levels in the Jing-Jin-Ji region, based on nighttime light data Type Journal Article
  Year (down) 2020 Publication Journal of Cleaner Production Abbreviated Journal Journal of Cleaner Production  
  Volume 263 Issue Pages 121490  
  Keywords Remote Sensing  
  Abstract Rapid urbanization has generated enormous pressure on natural resources. This study illustrates urban expansion in the Jing-Jin-Ji region and its influence on vegetation primary productivity. Tempo-spatial correlations between a vegetation index and nighttime light intensity are discussed to assess the urbanization effect quantitatively. The results show that: (1) From 1998 to 2018, urban areas gradually expanded outward from their original conglomerations. (2) In the past 20 years, Beijing and Tianjin have developed in different ways. The surrounding satellite cities have mostly developed concentrically, although some cities in Hebei province have developed more linearly. (3) The average primary productivity of the study area in 1998, 2003, 2008, 2013, and 2018 was generally lower than that of non-urban regions of the same year. (4) During the period from 1998 to 2018, the primary productivity of vegetation in the urban built-up areas increased, and the condition of the plant improved.  
  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 0959-6526 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2925  
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