A study on ways to reduce the use of Road Snow Removal Agent reflecting local characteristics: Based on the case of Incheon Facilities Corporation

2021 ◽  
Vol 17 (1) ◽  
pp. 1-31
Author(s):  
Jeong heum Moon ◽  
Chong soo Cheung
Keyword(s):  
Snow Removal ◽  
Local Characteristics

Editorial

2018 ◽  
Vol 6 (1) ◽  
pp. 1-2
Author(s):  
Ibrahim Sirkeci
Keyword(s):  
Qualitative Study ◽  
Cultural Dimensions ◽  
Mobile Marketing ◽  
Negative Attitudes ◽  
The Third ◽  
Cross Border ◽  
Local Characteristics ◽  
Critical Account

Transnational Marketing Journal is dedicated to disseminate scholarship on cross-border phenomena in marketing by acknowledging the importance of local and global or in other words, underlining the transnational practices marked by national and local characteristics in a fluid fashion spreading over more than one national territory. The first article by Paulette Schuster looks into “falafel” and “shwarma” in Mexico and discusses the perception of Israeli food in Mexico. The second article is a case study illustrating a critical account of cultural dimensions formulated by Schwarz using the value surveys data. The third article in the issue is a qualitative study of the negative attitudes of millennials torwards mobile marketing. 

Milestone solution for snow removal problem in Moscow

2019 ◽  
pp. 66-72
Keyword(s):  
New Technologies ◽  
Environmental Safety ◽  
Winter Period ◽  
Special Importance ◽  
Master Plan ◽  
Infrastructure Development ◽  
Snow Removal ◽  
Surface Areas ◽  
The City ◽  
Deicing Agents

The main principle of the strategy for the complex improvement of the functioning of northern cities in winter, including their infrastructure development, is a comprehensive solution of the problem of industrial-scale snow-mass collection, removal and utilization at different areas of urban roadway networks. For its implementation in the capital of Russia, “MosvodokanalNIIproject” JSC developed in 2002 the Snow Removal Master Plan for the city of Moscow. The meteorological conditions in the city, which have changed considerably in the recent years, including the changes in the snow-cover depth and in the road-surface areas to be cleaned, as well as emerging of new technologies for the cleaning of urban streets, yards and sidewalks and some new types of deicing agents, resulted in the necessity to update the above-mentioned Snow Removal Master Plan developed for the city of Moscow. Efficient application of deicing agents is of special importance for its updating in the context of the environmental safety of the city in a winter period. The article considers the results of the implementation of the updated Snow Removal Master Plan and contains some proposals concerning snow removal under the conditions of extreme snowfalls.

Modeling the Snow Deposit Process on the Highways in the Flowvision Software

2020 ◽  
pp. 72-83
Author(s):  
Т. В. Самодурова ◽  
О. В. Гладышева ◽  
Н. Ю. Алимова ◽  
Е. А. Бончева
Keyword(s):  
Hydrodynamic Model ◽  
Geometric Model ◽  
Information Resources ◽  
Road Maintenance ◽  
Snow Removal ◽  
Experimental Section ◽  
Deposit Modeling ◽  
Winter Road ◽  
Highway Embankment ◽  
Winter Road Maintenance

Постановка задачи. Рассмотрена задача моделирования отложения снега во время метелей на автомагистралях с барьерными ограждениями в программе FlowVision . Результаты. В качестве опытного участка рассмотрен участок автомагистрали, проходящий в насыпи. Создана геометрическая модель участка автомагистрали. Обоснованы информационные ресурсы для создания гидродинамической модели обтекания насыпи автомагистрали с барьерными ограждениями снеговетровым потоком во время метелей. Проведено моделирование процесса снегонакопления на опытном участке с использованием программного комплекса FlowVision во время метелей с различными параметрами. Выводы. Сделан вывод о возможности применения программного комплекса FlowVision для совершенствования методики назначения снегозащитных устройств и определения параметров снегоочистки при зимнем содержании автомобильных дорог. Statement of the problem. The problems of snow deposit modeling on the highways with crash barriers during blizzards in the FlowVision was discussed. Results. The highway section passing in the embankment as an experimental section has been considered. The geometric model of the highway section was created. The information resources for designing a hydrodynamic model of a snowflow stream of highway embankment with barriers during blizzard were identified. The modeling of the snow deposit process in the experimental section using the FlowVision software during blizzards with different parameters was carried out. Conclusions. It was concluded that it is possible to use the FlowVision software to improve the methodology for snow protection designing and determining snow removal parameters for winter road maintenance.

Local characteristics of the upward bubbly flow in an annular channel

2011 ◽  
Vol 18 (1) ◽  
pp. 37-41 ◽  
Author(s):  
O. N. Kashinsky ◽  
A. S. Kurdyumov ◽  
P. D. Lobanov
Keyword(s):  
Bubbly Flow ◽  
Annular Channel ◽  
Local Characteristics

scholarly journals The Key Reason of False Positive Misclassification for Accurate Large-Area Mangrove Classifications

2021 ◽  
Vol 13 (15) ◽  
pp. 2909
Author(s):  
Chuanpeng Zhao ◽  
Cheng-Zhi Qin
Keyword(s):  
False Positive ◽  
Classification Scheme ◽  
Abundant Species ◽  
Google Earth ◽  
Large Area ◽  
Local Characteristics ◽  
Current Classification ◽  
Standard Classification ◽  
Selected Subset ◽  
Time Series Images

Accurate large-area mangrove classification is a challenging task due to the complexity of mangroves, such as abundant species within the mangrove category, and various appearances resulting from a large latitudinal span and varied habitats. Existing studies have improved mangrove classifications by introducing time series images, constructing new indices sensitive to mangroves, and correcting classifications by empirical constraints and visual inspections. However, false positive misclassifications are still prevalent in current classification results before corrections, and the key reason for false positive misclassification in large-area mangrove classifications is unknown. To address this knowledge gap, a hypothesis that an inadequate classification scheme (i.e., the choice of categories) is the key reason for such false positive misclassification is proposed in this paper. To validate this hypothesis, new categories considering non-mangrove vegetation near water (i.e., within one pixel from water bodies) were introduced, which is inclined to be misclassified as mangroves, into a normally-used standard classification scheme, so as to form a new scheme. In controlled conditions, two experiments were conducted. The first experiment using the same total features to derive direct mangrove classification results in China for the year 2018 on the Google Earth Engine with the standard scheme and the new scheme respectively. The second experiment used the optimal features to balance the probability of a selected feature to be effective for the scheme. A comparison shows that the inclusion of the new categories reduced the false positive pixels with a rate of 71.3% in the first experiment, and a rate of 66.3% in the second experiment. Local characteristics of false positive pixels within 1 × 1 km cells, and direct classification results in two selected subset areas were also analyzed for quantitative and qualitative validation. All the validation results from the two experiments support the finding that the hypothesis is true. The validated hypothesis can be easily applied to other studies to alleviate the prevalence of false positive misclassifications.

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