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Author Huang, X., Wang, C., & Lu, J.
Title Understanding Spatiotemporal Development of Human Settlement in Hurricane-prone Areas on U.S. Atlantic and Gulf Coasts using Nighttime Remote Sensing Type Journal Article
Year 2019 Publication Natural Hazards and Earth System Sciences Abbreviated Journal
Volume Issue Pages 1-22
Keywords Remote Sensing; hurricanes; cyclones; Weather; natural disasters; DMSP-OLS; nighttime light; night lights; vegetation-adjusted NTL urban index; VANUI
Abstract Hurricanes, as one of the most devastating natural disasters, have posed great threats to people in coastal areas. A better understanding of spatiotemporal dynamics of human settlement in hurricane-prone areas is demanded for sustainable development. This study uses the DMSP/OLS nighttime light (NTL) data sets from 1992 to 2013 to examine human settlement development in areas with different levels of hurricane proneness. The DMSP/OLS NTL data from six satellites were intercalibrated and desaturated with AVHRR and MODIS optical imagery to derive the vegetation-adjusted NTL urban index (VANUI), a popular index that quantifies human settlement intensity. The derived VANUI time series was examined with the Mann-Kendall test and Theil-Sen test to identify significant spatiotemporal trends. To link the VANUI product to hurricane impacts, four hurricane-prone zones were extracted to represent different levels of hurricane proneness. Aside from geographic division, a wind-speed weighted track density function was developed and applied to historical North Atlantic Basin (NAB)-origin storm tracks to better categorize the four levels of hurricane proneness. Spatiotemporal patterns of human settlement in the four zones were finally analyzed. The results clearly exhibit a north-south and inland-coastal discrepancy of human settlement dynamics. This study also reveals that both the zonal extent and zonal increase rate of human settlement positively correlate with hurricane proneness levels. The intensified human settlement in high hurricane-exposure zones deserves further attention for coastal resilience.
Address Department of Geography, University of South Carolina, Columbia, 29208, U.S.A
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Call Number (down) IDA @ intern @ Serial 2519
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Author Tuttle, B. T., Anderson, S. J., Sutton, P. C., Elvidge, C. D., & Baugh, K.
Title It Used To Be Dark Here Type Journal Article
Year 2013 Publication American Society for Photogrammetry and Remote Sensing Abbreviated Journal
Volume 3 Issue 11 Pages 287-297
Keywords Remote Sensing
Abstract Nighttime satellite imagery from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has a unique capability to observe nocturnal light emissions from sources including cities, wild fires, and gas flares. Data from the DMSP OLS is used in a wide range of studies including mapping urban areas, estimating informal economies, and estimations of population. Given the extensive and increasing list of applications a repeatable method for assessing geolocation accuracy would be beneficial. An array of portable lights was designed and taken to multiple field sites known to have no other light sources. The lights were operated during nighttime overpasses by the DMSP OLS and observed in the imagery. An assessment of the geolocation accuracy was performed by measuring the distance between the GPS measured location of the lights and the observed location in the imagery. A systematic shift was observed and the mean distance was measured at 2.9 km.
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Call Number (down) IDA @ intern @ Serial 2520
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Author Phillips, A.J.K.; Vidafar, P.; Burns, A.C.; McGlashan, E.M.; Anderson, C.; Rajaratnam, S.M.W.; Lockley, S.W.; Cain, S.W.
Title High sensitivity and interindividual variability in the response of the human circadian system to evening light Type Journal Article
Year 2019 Publication Proceedings of the National Academy of Sciences of the United States of America Abbreviated Journal Proc Natl Acad Sci U S A
Volume 116 Issue 24 Pages 12019-12024
Keywords Human Health; circadian rhythms; light sensitivity; circadian disruption; melatonin suppression; evening light
Abstract Before the invention of electric lighting, humans were primarily exposed to intense (>300 lux) or dim (<30 lux) environmental light-stimuli at extreme ends of the circadian system's dose-response curve to light. Today, humans spend hours per day exposed to intermediate light intensities (30-300 lux), particularly in the evening. Interindividual differences in sensitivity to evening light in this intensity range could therefore represent a source of vulnerability to circadian disruption by modern lighting. We characterized individual-level dose-response curves to light-induced melatonin suppression using a within-subjects protocol. Fifty-five participants (aged 18-30) were exposed to a dim control (<1 lux) and a range of experimental light levels (10-2,000 lux for 5 h) in the evening. Melatonin suppression was determined for each light level, and the effective dose for 50% suppression (ED50) was computed at individual and group levels. The group-level fitted ED50 was 24.60 lux, indicating that the circadian system is highly sensitive to evening light at typical indoor levels. Light intensities of 10, 30, and 50 lux resulted in later apparent melatonin onsets by 22, 77, and 109 min, respectively. Individual-level ED50 values ranged by over an order of magnitude (6 lux in the most sensitive individual, 350 lux in the least sensitive individual), with a 26% coefficient of variation. These findings demonstrate that the same evening-light environment is registered by the circadian system very differently between individuals. This interindividual variability may be an important factor for determining the circadian clock's role in human health and disease.
Address Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia sean.cain@monash.edu
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ISSN 0027-8424 ISBN Medium
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Notes PMID:31138694 Approved no
Call Number (down) IDA @ intern @ Serial 2521
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Author Deng, J., Che, T., Xiao, C., Wang, S., Dai, L., & Meerzhan, A.
Title Suitability Analysis of Ski Areas in China: An Integrated Study Based on Natural and Socioeconomic Conditions Type Journal Article
Year 2019 Publication The Cryosphere Abbreviated Journal The Cryosphere
Volume 13 Issue Pages 2149–2167
Keywords Remote Sensing; China; Skiing; winter sports; GIS; Asia
Abstract The successful bidding of the 2022 Winter Olympics (Beijing 2022, officially known as the XXIV Olympic Winter Games) has greatly stimulated Chinese enthusiasm to participate in winter sports. Consequently, the Chinese ski industry is rapidly booming driven by enormous market demand and government support. However, investing in ski area at an unreasonable location will cause problems both from economic perspective (in terms of operation and management) as well as geographical concerns (such as environmental degradation). To evaluate the suitability of a ski area based on scientific 20 metrics has since become a prerequisite to the sustainable development of ski industry. In this study, we evaluate the locational suitability of ski areas in China by integrating their natural and socioeconomic conditions using linear weighted method based on geographic information systems (GIS) spatial analysis combined with remote sensing, online and field survey data. Key indexes for evaluating the natural suitability include snow cover, air temperature, topographic conditions, groundwater, and vegetation, whereas socioeconomic suitability is evaluated based on economic conditions, accessibility of transportation, 25 distance to tourist attractions, and distance to cities. As such, an integrated metrics considering both natural and socioeconomic suitability is defined to be a threshold and used to identify the suitability of a candidate region for ski area development. The results show that 92% of existing ski areas are located in areas with an integrated index greater than 0.5. In contrary, a ski area is considered to be a dismal prospect when the locational integrated index is less than 0.5. Finally, corresponding development strategies for decision-makers are proposed based on the multi-criteria metrics, which will be extended to incorporate potential influences from future climate change and socioeconomic development.
Address Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China; chetao(at)lzb.ac.cn
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Publisher Copernicus Place of Publication Editor
Language English Summary Language English Original Title
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Call Number (down) IDA @ intern @ Serial 2522
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Author Garstang, R.H.
Title Dust and Light Pollution Type Journal Article
Year 1991 Publication The Astronomical Society of the Pacific Abbreviated Journal
Volume 103 Issue Pages 1109-1116
Keywords Skyglow
Abstract We have refined our model for the prediction ofthe brightness ofthe night sky due to man-made light pollution by the addition of an ozone layer, by the use ofa more accurate representation ofthe atmospheric molecular density variation as a function ofheight, and by using a better mathematical representation ofthe scattering angular function of aerosols. Each ofthese modifications leads to a small reduction in the predicted brightness ofthe night sky. We have also added to our model a thin layer ofdust ofarbitrary optical thickness and height above sea level. We have studied dust clouds at various heights and ofvarious optical thicknesses. Most ofour calculations have been performed for Kitt Peak National Observatory. Most calculations have used scattering and absorption coefficients appropriate for volcanic clouds; a few calculations refer to desert dust. Light pollution is reduced by a dust cloud ofmoderate density whose altitude is below about 10 km (for the V band) and increased for dust clouds at greater altitudes. Observations from good sites are not likely to be greatly affected by the increases in light pollution caused by volcanic clouds at altitudes oforder 20 km.
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Call Number (down) IDA @ intern @ Serial 2523
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