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.
Single-image snow removal based on an attention mechanism and a generative adversarial network
