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  • Reducing the concentration of fine dust PM2.5 and PM10 in construction by optimizing facilities on the construction site

    In most countries of the world, the construction industry is one of the main sources of air pollution in urban areas and agglomerations. One of the most dangerous pollutants are fine dust particles PM2.5 and PM10, formed from the production of dusty construction processes. Due to the optimal location of administrative facilities on the construction site, it is possible to reduce the concentration of dust emissions of particles PM2.5 and PM10. In addition, the cost of the dust control method is of concern to contractors, as it leads to an increase in the cost of construction. Therefore, reducing overall transportation costs is another optimization goal. To solve several tasks at once, the study uses multi-purpose optimization using the particle swarm method (MRF) algorithm to find an optimized construction site layout that can simultaneously reduce both the level of pollution from dust emissions and transportation costs.

    Keywords: environmental safety, environmental monitoring, atmospheric air protection, ecology in construction, dust suppression, feasibility study, dust collection systems, labor protection in construction

  • Analysis of the load curve in the isolated areas of power supply

    The article studies the subject of human settlements with decentralized power supply, included into a locally isolated power supply complex. The basic integrated measures were determined for settlements power lines daily load curves. The results are presented, for dependency assessment between the integrated measures for daily load curves and the number of the settlement’s inhabitants. The dependency has been proven to be effectively described by a second order equation. For the dependency, the correlation coefficient, the determination coefficient and the average approximation error have been given.

    Keywords: Power line load curve, decentralized power supply zone, locally isolated power supply complex, approximation