Browsing by Author "Kozarev N."

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    Dynamics of surface water pollution caused by open pit mining in copper concentrate production
    (2016-01-01) Hlebarov G.; Kozarev N.
    The dynamics of surface water pollution around an open pit obtained in the course of pyrite and chalcopyrite mining is studied. The data referring to the water quality in a small river including pH, the river flow rate and the concentrations of Fe3+, Cu2+, Mn2+, SO42- and NO3- is obtained. The influence of the rainfall and snowfall on the surface water pollution is analysed and discussed. Polynomial models of the river flow rate and water pollutants emission are offered. They can be applied to control the water treatment plant operation.
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    Modelling of multicomponent distillation for optimization and on-line control short-cut model and model adaptation
    (2015-01-01) Kozarev N.
    Some aspects of the multicomponent distillation modelling are analysed and discussed. A highly simplified noniterative mathematical model is offered for calculation of the top and bottom product compositions. It can be successfully adapted to a working distillation column on the base of easy obtainable measurement data related to the lower or upper cut points of the products. Being extremely fast, the model can be used for optimisation of the mode of operation and on-line control of crude oil separation and other multicomponent distillation processes.
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    Sensors applicability for PM2.5 and PM10 air concentration measurements
    (2018-01-01) Ilieva N.; Nikolova Y.; Predyov I.; Kozarev N.
    Comparisons of Private Stations (PS) measurements with Automatic Monitoring Stations (AMS) included in the National Environmental Monitoring System of the Ministry of Environment and Waters in Bulgaria has been made. The chosen PS (a total of four) are located close to AMS. In order to check whether the PS data are reliable and could be used for air quality monitoring, a statistical analysis of the data from the PS and the AMS was performed. The concentrations measured by two methods are quite different, but a good correlation between them has been established. In order to improve the PS measurement accuracy models for correction of the PM10 and PM2.5 concentrations measured using sensors were derived. They are characterized with good accuracy but are only valid for the warm part of the year. It is necessary to derive another set of coefficients for the cold half of the year. Without correction, the PS measurement error is large and their records may be misleading.