994 resultados para Snow Plows.
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Virginia Department of Transportation, Richmond
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Mode of access: Internet.
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Federal Highway Administration, Office of Research, Washington, D.C.
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Federal Highway Administration, Implementation Division, Washington, D.C.
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Federal Highway Administration, Washington, D.C.
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Federal Highway Administration, Office of Research and Development, Washington, D.C.
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Underbody plows and High Speed Ice Blades are an integral part of clearing Iowa roads of snow and ice during winter operations. Changing these blades requires crews to suspend plowing operations and return to the garage decreasing time spent clearing roads and increasing workplace hazards. A blade with a longer lifespan is desired. The Department is determining if using plow blades that have been flame hardened increase longevity of use over the Departments current underbody plow blades that are oven baked. This would reduce downtime and employee exposure to workplace hazards and increase productivity per dollar spent.
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Backup warning system devices were evaluated to determine if they would alert winter maintenance snow plow drivers to obstacles directly behind the trailer and out of view of the driver when a unit is backed up. When the sensors on the back of the tow plow were covered with snow during plowing operations, the sensor would go off in the cab and continue going off, which would result in drivers turning the volume of the unit way down. One shop stated that the wireless transmitted signal would be hit or miss depending on the winter weather that they were operating in. The sensors on the back of the tow plow trailer would come in contact with salt brine and in this situation one of the sensors did go bad. The weatherproof box that was designed to keep the system waterproof did not fully keep the moisture out. It was found that the system did alert drivers of items behind the unit and there were no backup accidents reported during the research period.
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Bulbos de 2° ciclo, tipo jumbo, com 84 g/unidade e tipo 1, com 35 g/unidade, foram comparados. Verificou-se que: o tipo jumbo teve melhor rendimento de: peso de bulbos; número de bulbos; comprimento da haste floral; comprimento da espiga floral e hastes florais de melhor qualidade. Otipo 1 apresentou melhor rendimento para peso de bulbos plantados por peso de bulbos e cormilhos colhidos.
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A profundidade de plantio dos cormilhos influi na produção e qualidade do material de propagação. Em maiores profundidades, o peso médio por unidade produzida é maior. Para produzir bulbos dos tipos jumbo até o tipo 5, a profundidade de 7,3 cm foi a melhor. A profundidade de 5,6 cm foi melhor para quantidade. Maiores profundidades produzem menor cormilhos.
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Os cormilhos tipo 7 produziram bulbos e cormilhos dos tipos de 1 a 8 em maior quantidade que o tipo 8 e os bulbos tipos 1, 2, 3, 4 e 5 mais pesados. Os cormilhos tipo 8 também produziram bulbos e cormilhos dos tipos 1 a 8, porém seus cormilhos foram mais pesados que os cormilhos produzidos pelo tipo 7.
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Bulbos de mesmo ciclo, com pesos e tamanhos próximos, apresentaram comportamentos semelhantes para a produção de flores, bulbos e cormilhos. Os bulbos maiores, tipos 1 e 2, tiveram melhor rendimento de flores, bulbos e cormilhos que os demais tipos, decrescendo esse rendimento com a redução do tamanho dos bulbos por unidade plantada. Em função do peso plantado, as unidades menores apresentaram melhor desempenho.
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This paper presents the Juste-Neige system for predicting the snow height on the ski runs of a resort using a multi-agent simulation software. Its aim is to facilitate snow cover management in order to i) reduce the production cost of artificial snow and to improve the profit margin for the companies managing the ski resorts; and ii) to reduce the water and energy consumption, and thus to reduce the environmental impact, by producing only the snow needed for a good skiing experience. The software provides maps with the predicted snow heights for up to 13 days. On these maps, the areas most exposed to snow erosion are highlighted. The software proceeds in three steps: i) interpolation of snow height measurements with a neural network; ii) local meteorological forecasts for every ski resort; iii) simulation of the impact caused by skiers using a multi-agent system. The software has been evaluated in the Swiss ski resort of Verbier and provides useful predictions.
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To elucidate the evolutionary history of snow voles, genus Chionomys, we studied the phylogeography of Chionomysnivalis across its range and investigated its relationships with two congeneric species, Chionomysgud and Chionomysroberti, using independent molecular markers. Analyses were based on mitochondrial (~940 bp cyt b) and Y-chromosomal (~2020 bp from three introns) genetic variation. Our data provide conclusive evidence for a Caucasian and Middle Eastern origin for the three species and a subsequent westward expansion of C.nivalis. In addition, we discuss the taxonomic status of the genus Chionomys in relation to the genus Microtus.