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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 (up) Energy Strategy Reviews
Volume 20 Issue 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.
Address
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Language Summary Language Original Title
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ISSN 2211467X ISBN Medium
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2055
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Author Garcia-Saenz, A.; Sanchez de Miguel, A.; Espinosa, A.; Valentin, A.; Aragones, N.; Llorca, J.; Amiano, P.; Martin Sanchez, V.; Guevara, M.; Capelo, R.; Tardon, A.; Peiro-Perez, R.; Jimenez-Moleon, J.J.; Roca-Barcelo, A.; Perez-Gomez, B.; Dierssen-Sotos, T.; Fernandez-Villa, T.; Moreno-Iribas, C.; Moreno, V.; Garcia-Perez, J.; Castano-Vinyals, G.; Pollan, M.; Aube, M.; Kogevinas, M.
Title Evaluating the Association between Artificial Light-at-Night Exposure and Breast and Prostate Cancer Risk in Spain (MCC-Spain Study) Type Journal Article
Year 2018 Publication Environmental Health Perspectives Abbreviated Journal (up) Environ Health Perspect
Volume 126 Issue 4 Pages 047011
Keywords Human Health; Remote Sensing; Adult; Aged; Aged, 80 and over; Breast Neoplasms/*epidemiology/etiology; Case-Control Studies; Circadian Rhythm; Female; Humans; Incidence; Light/*adverse effects; Lighting/*adverse effects; Male; Middle Aged; Prostatic Neoplasms/*epidemiology/etiology; Risk Factors; Spain/epidemiology; Young Adult
Abstract BACKGROUND: Night shift work, exposure to light at night (ALAN) and circadian disruption may increase the risk of hormone-dependent cancers. OBJECTIVES: We evaluated the association of exposure to ALAN during sleeping time with breast and prostate cancer in a population based multicase-control study (MCC-Spain), among subjects who had never worked at night. We evaluated chronotype, a characteristic that may relate to adaptation to light at night. METHODS: We enrolled 1,219 breast cancer cases, 1,385 female controls, 623 prostate cancer cases, and 879 male controls from 11 Spanish regions in 2008-2013. Indoor ALAN information was obtained through questionnaires. Outdoor ALAN was analyzed using images from the International Space Station (ISS) available for Barcelona and Madrid for 2012-2013, including data of remotely sensed upward light intensity and blue light spectrum information for each geocoded longest residence of each MCC-Spain subject. RESULTS: Among Barcelona and Madrid participants with information on both indoor and outdoor ALAN, exposure to outdoor ALAN in the blue light spectrum was associated with breast cancer [adjusted odds ratio (OR) for highest vs. lowest tertile, OR=1.47; 95% CI: 1.00, 2.17] and prostate cancer (OR=2.05; 95% CI: 1.38, 3.03). In contrast, those exposed to the highest versus lowest intensity of outdoor ALAN were more likely to be controls than cases, particularly for prostate cancer. Compared with those who reported sleeping in total darkness, men who slept in “quite illuminated” bedrooms had a higher risk of prostate cancer (OR=2.79; 95% CI: 1.55, 5.04), whereas women had a slightly lower risk of breast cancer (OR=0.77; 95% CI: 0.39, 1.51). CONCLUSION: Both prostate and breast cancer were associated with high estimated exposure to outdoor ALAN in the blue-enriched light spectrum. https://doi.org/10.1289/EHP1837.
Address IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
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Language English Summary Language Original Title
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Series Volume Series Issue Edition
ISSN 0091-6765 ISBN Medium
Area Expedition Conference
Notes PMID:29687979; PMCID:PMC6071739 Approved no
Call Number GFZ @ kyba @ Serial 3044
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Author Tripathy, B.R.; Sajjad, H.; Elvidge, C.D.; Ting, Y.; Pandey, P.C.; Rani, M.; Kumar, P.
Title Modeling of Electric Demand for Sustainable Energy and Management in India Using Spatio-Temporal DMSP-OLS Night-Time Data Type Journal Article
Year 2018 Publication Environmental Management Abbreviated Journal (up) Environ Manage
Volume 61 Issue 4 Pages 615-623
Keywords Remote Sensing
Abstract Changes in the pattern of electric power consumption in India have influenced energy utilization processes and socio-economic development to greater extent during the last few decades. Assessment of spatial distribution of electricity consumption is, thus, essential for projecting availability of energy resource and planning its infrastructure. This paper makes an attempt to model the future electricity demand for sustainable energy and its management in India. The nighttime light database provides a good approximation of availability of energy. We utilized defense meteorological satellite program-operational line-scan system (DMSP-OLS) nighttime satellite data, electricity consumption (1993-2013), gross domestic product (GDP) and population growth to construct the model. We also attempted to examine the sensitiveness of electricity consumption to GDP and population growth. The results revealed that the calibrated DMSP and model has provided realistic information on the electric demand with respect to GDP and population, with a better accuracy of r (2) = 0.91. The electric demand was found to be more sensitive to GDP (r = 0.96) than population growth (r = 0.76) as envisaged through correlation analysis. Hence, the model proved to be useful tool in predicting electric demand for its sustainable use and management.
Address Department of Geography, Jamia Millia Islamia, New Delhi, 110025, India. pavan.jamia@gmail.com
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Series Editor Series Title Abbreviated Series Title
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ISSN 0364-152X ISBN Medium
Area Expedition Conference
Notes PMID:29282533 Approved no
Call Number GFZ @ kyba @ Serial 2484
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Author Hoffmann, J.; Palme, R.; Eccard, J.A.
Title Long-term dim light during nighttime changes activity patterns and space use in experimental small mammal populations Type Journal Article
Year 2018 Publication Environmental Pollution Abbreviated Journal (up) Environ Pollut
Volume 238 Issue Pages 844-851
Keywords Animals
Abstract Artificial light at night (ALAN) is spreading worldwide and thereby is increasingly interfering with natural dark-light cycles. Meanwhile, effects of very low intensities of light pollution on animals have rarely been investigated. We explored the effects of low intensity ALAN over seven months in eight experimental bank vole (Myodes glareolus) populations in large grassland enclosures over winter and early breeding season, using LED garden lamps. Initial populations consisted of eight individuals (32 animals per hectare) in enclosures with or without ALAN. We found that bank voles under ALAN experienced changes in daily activity patterns and space use behavior, measured by automated radiotelemetry. There were no differences in survival and body mass, measured with live trapping, and none in levels of fecal glucocorticoid metabolites. Voles in the ALAN treatment showed higher activity at night during half moon, and had larger day ranges during new moon. Thus, even low levels of light pollution as experienced in remote areas or by sky glow can lead to changes in animal behavior and could have consequences for species interactions.
Address Animal Ecology, University of Potsdam, Maulbeerallee 1, 14469, Potsdam, Germany
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Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0269-7491 ISBN Medium
Area Expedition Conference
Notes PMID:29627754 Approved no
Call Number GFZ @ kyba @ Serial 1848
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Author Hu, Z.; Hu, H.; Huang, Y.
Title Association between nighttime artificial light pollution and sea turtle nest density along Florida coast: A geospatial study using VIIRS remote sensing data Type Journal Article
Year 2018 Publication Environmental Pollution (Barking, Essex : 1987) Abbreviated Journal (up) Environ Pollut
Volume 239 Issue Pages 30-42
Keywords Animals; Remote Sensing
Abstract Artificial lighting at night has becoming a new type of pollution posing an important anthropogenic environmental pressure on organisms. The objective of this research was to examine the potential association between nighttime artificial light pollution and nest densities of the three main sea turtle species along Florida beaches, including green turtles, loggerheads, and leatherbacks. Sea turtle survey data was obtained from the “Florida Statewide Nesting Beach Survey program”. We used the new generation of satellite sensor “Visible Infrared Imaging Radiometer Suite (VIIRS)” (version 1 D/N Band) nighttime annual average radiance composite image data. We defined light pollution as artificial light brightness greater than 10% of the natural sky brightness above 45 degrees of elevation (>1.14x10(-11) Wm(-2)sr(-1)). We fitted a generalized linear model (GLM), a GLM with eigenvectors spatial filtering (GLM-ESF), and a generalized estimating equations (GEE) approach for each species to examine the potential correlation of nest density with light pollution. Our models are robust and reliable in terms of the ability to deal with data distribution and spatial autocorrelation (SA) issues violating model assumptions. All three models found that nest density is significantly negatively correlated with light pollution for each sea turtle species: the higher light pollution, the lower nest density. The two spatially extended models (GLM-ESF and GEE) show that light pollution influences nest density in a descending order from green turtles, to loggerheads, and then to leatherbacks. The research findings have an implication for sea turtle conservation policy and ordinance making. Near-coastal lights-out ordinances and other approaches to shield lights can protect sea turtles and their nests. The VIIRS DNB light data, having significant improvements over comparable data by its predecessor, the DMSP-OLS, shows promise for continued and improved research about ecological effects of artificial light pollution.
Address Department of Computing Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA. Electronic address: Lucy.Huang@tamucc.edu
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 0269-7491 ISBN Medium
Area Expedition Conference
Notes PMID:29649758 Approved no
Call Number GFZ @ kyba @ Serial 1855
Permanent link to this record