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Author Marder, M.
Title Being Dumped Type Journal Article
Year 2019 Publication Environmental Humanities Abbreviated Journal
Volume 11 Issue 1 Pages 180-193
Keywords Commentary
Abstract In this article, Michael Marder interprets the “toxic flood” we are living or dying through as a global dump. On his reading, multiple levels of existence—from the psychic to the physiological, from the environmental-elemental to the planetary—are being converted into a dump, a massive and still growing hodgepodge of industrial and consumer by-products and emissions; shards of metaphysical ideas and theological dreams; radioactive materials; light, sound, and other modes of sensory pollution; pesticides and herbicides; and so forth. Toxicity targets our bodily tissues, senses, and minds, not to mention our worlds, without individuating us in this targeting, as indifferent and random as the global dump that nourishes it. Disrupting metabolism at every scrambled register of existence, it waxes into what Marder calls “ontological toxicity,” the mangled parts of the dump that do not pass through and out of being and, in not passing, warrant the annihilation, the rapid passing away, of all else. In an ontologically toxic state, the meaning of being is being dumped.
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Call Number IDA @ intern @ Serial 2503
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Author Sielachowska, M., & Zajkowski, M.
Title Assessment of Light Pollution Based on the Analysis of Luminous Flux Distribution in Sports Facilities Type Journal Article
Year 2019 Publication Engineer of the XXI Century Abbreviated Journal
Volume 70 Issue Pages 139-150
Keywords Lighting
Abstract The article attempts to assess the amount of light pollution with artificial light from sports facilities. The football stadium has been analysed, while considering a few configurations that take into account different coefficients of reflection of the luminous flux for the tribunes and the object main board. Simplified model of the football stadium was introduced to the DIALux simulation software, and then computer calculations were made for selected variants. In addition, the applicable normative requirements in the field of lighting systems were discussed and the mathematical distribution of the luminous flux in the examined sports facility was presented.
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Call Number IDA @ intern @ Serial 2504
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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 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 IDA @ intern @ Serial 2520
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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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Call Number IDA @ intern @ Serial 2522
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