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Author Kinzey, B. R.; Smalley, E.; Ghosh, S.; Tuenge, J. R.; Pipkin, A.; Trevino, K.
Title Lighting and Power Upgrade Recommendations for U.S. National Park Service Caribbean Units Type Journal Article
Year 2019 Publication National Park Service Caribbean Units Abbreviated Journal
Volume Issue Pages
Keywords Lighting; Conservation; Ecology; Skyglow; Planning
Abstract The U.S. National Park Service (NPS) maintains and operates numerous park units along the Eastern Seaboard of the United States, extending into the Caribbean to Commonwealth territories like Puerto Rico and the U.S. Virgin Islands (USVI). Several of these units were in the direct path of hurricanes Irma and Maria during the 2017 hurricane season and suffered considerable damage, including power outages, structural damage, and destroyed equipment. In February 2018, a task force deployed to three locations in the Caribbean to assess hurricane damage to the existing lighting systems and energy infrastructure. The primary objective was providing related recommendations for resiliency upgrades to the lighting and electrical supply systems, with special added emphasis on the numerous goals, objectives, and requirements of the NPS (such as protecting night skies, wildlife, wilderness character, cultural resources, etc.). Numerous opportunities exist for simultaneously increasing resiliency and preserving natural environments within these sensitive locations, and technological approaches that work in the extreme conditions encountered here should readily translate to many other less complex sites across the greater park system. Ultimately, care and attention to detail in implementation are the most important underlying requirements for success across the myriad needs likely encountered at these sites, once commitment to resolving them has been secured
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Publisher U.S. Department of Energy Place of Publication Editor
Language English Summary Language English Original Title
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Notes Approved no
Call Number IDA @ intern @ Serial 2626
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Author Otchia, C. S. & Asongu, S. A.
Title Industrial Growth in Sub-Saharan Africa: Evidence from Machine Learning with Insights from Nightlight Satellite Images Type Journal Article
Year 2019 Publication African Governance and Development Institute Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing or not precise. Taken together, the research confirms four groups of important determinants of industrial growth: natural resources, agriculture growth, institutions, and manufacturing imports. Our findings indicate that Africa should follow a more

multisector approach for development, putting natural resources and agriculture productivity growth at the forefront.
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Notes Approved no
Call Number IDA @ intern @ Serial 2627
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Author Portugal, S. J., White, C. R., Frappell, P. B.m Green, J. A., & Butler, P. J.
Title Impacts of “supermoon” events on the physiology of a wild bird Type Journal Article
Year 2019 Publication Ecology and Evolution Abbreviated Journal
Volume 9 Issue Pages 7974-7984
Keywords Animals; Moonlight
Abstract The position of the Moon in relation to the Earth and the Sun gives rise to several predictable cycles, and natural changes in nighttime light intensity are known to cause alterations to physiological processes and behaviors in many animals. The limited research undertaken to date on the physiological responses of animals to the lunar illumination has exclusively focused on the synodic lunar cycle (full moon to full moon, or moon phase) but the moon's orbit—its distance from the Earth—may also be relevant. Every month, the moon moves from apogee, its most distant point from Earth—and then to perigee, its closest point to Earth. Here, we studied wild barnacle geese (Branta leucopsis) to investigate the influence of multiple interacting lunar cycles on the physiology of diurnally active animals. Our study, which uses biologging technology to continually monitor body temperature and heart rate for an entire annual cycle, asks whether there is evidence for a physiological response to natural cycles in lunar brightness in wild birds, particularly “supermoon” phenomena, where perigee coincides with a full moon. There was a three‐way interaction between lunar phase, lunar distance, and cloud cover as predictors of nighttime mean body

temperature, such that body temperature was highest on clear nights when the full

moon coincided with perigee moon. Our study is the first to report the physiological responses of wild birds to “supermoon” events; the wild geese responded to the combination of two independent lunar cycles, by significantly increasing their body temperature at night. That wild birds respond to natural fluctuations in nighttime ambient light levels support the documented responses of many species to anthropogenic sources of artificial light, that birds seem unable to override. As most biological systems are arguably organized foremost by light, this suggests that any interactions between lunar cycles and local weather conditions could have significant impacts on the energy budgets of birds.
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Notes Approved no
Call Number IDA @ intern @ Serial 2628
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Author Campisi, D.; Gitto, S.; Morea, D.
Title Economic feasibility of energy efficiency improvements in street lighting systems in Rome Type Journal Article
Year 2017 Publication International Journal of Energy Economics and Policy Abbreviated Journal
Volume 7 Issue 1 Pages 190-198
Keywords Economics; Energy; Society; LED lighting; LED; real options
Abstract This study evaluates an investment project concerning the redevelopment of the public lighting of the Municipality of Rome. In particular, we consider the replacing of the traditional lamps of the system with LED lamps. We consider the factors that affect this kind of project: the cost of energy, the manteinance cost, the investment cost and the Weighted Average Cost of Capital (WACC). Our results underline the reduction of energy consumption and of the maintenance costs, lower emissions of CO2 into the atmosphere, the reduction of light pollution, the positive effects on road safety and the indipendence by incentives.
Address Department of Industrial Engineering, University of Rome Tor Vergata, Italy
Corporate Author Thesis
Publisher Elsevier Place of Publication Editor
Language English Summary Language English Original Title
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Area Expedition Conference
Notes Approved no
Call Number IDA @ intern @ Serial 2629
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Author Chen, J., & Li, L.
Title Regional Economic Activity Derived From MODIS Data: A Comparison With DMSP/OLS and NPP/VIIRS Nighttime Light Data Type Journal Article
Year 2019 Publication IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Abbreviated Journal
Volume Issue Pages 1-11
Keywords Remote Sensing; Economics
Abstract Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data are the two most commonly used indicators of gross domestic product (GDP) estimation. Few studies explore the potential of daytime satellite data for estimating GDP. This study demonstrates a linear support vector machine (Linear-SVM) model to estimate GDP over Hubei province and Guangdong province, China, in 2013 from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Also, a comparison of MODIS data with DMSP/OLS and NPP/VIIRS nighttime light data was conducted. Results show that the Linear-SVM model (Hubei: R2 = 0.66, 0.71, 0.92; Guangdong: R2 = 0.37, 0.32, 0.67) has better model performance than simple linear regression (R2 = 0.54, 0.59, 0.86; R2 = 0.23, 0.23, 0.63) based on DMSP/OLS nighttime lights, DMSP/OLS corrected nighttime lights, and NPP/VIIRS nighttime lights, respectively, while MODIS data has model performance of R2 = 0.77 (Hubei) and R2 = 0.55 (Guangdong) based on the Linear-SVM model, further indicating that MODIS data improves the accuracy of GDP estimation compared to DMSP/OLS nighttime lights. In addition, MODIS data produced finer GDP estimation than DMSP/OLS nighttime lights, especially in dark and light saturated areas. Although MODIS data is not as accurate as the NPP/VIIRS nighttime lights for estimating GDP, the proposed method could be applicable to other daytime satellite data and has broad prospects for improving the spatial and temporal resolution of regional economic activity and improving estimation accuracy.
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Language Summary Language Original Title
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Area Expedition Conference
Notes Approved no
Call Number IDA @ intern @ Serial 2630
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