Automatic Monitoring System of emissions
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Date
2024
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Faculty of Engineering and Natural Science
Abstract
”Sergeks” in area of Ecology Our country is very polluted because of the incorrect ecological laws, old manufactures and irresponsible users of natural resources. And our the state has no tools to control it. Our research work will solve this problem by using informational technologies. It is very important to constantly evaluate the air quality in urban areas to warn residents to risks posed by air they breathe. However, the construction typical monitoring networks in poor countries will impractical due to their enormous cost. Nationwide Air Quality Network monitoring was created to offer air quality indicators, and this is important for citizen to be informed about the present and upcoming air quality in its current place to avoid overexposure. This network made it possible to broadcast frequently quality control and development the most important information system that helps prevent dangerous circumstances. Difficulty in collection and interpretation of time series and Direct data is fundamental disadvantage of an unusual network topology. Old mathematical simulation model Actually in this area I acted more like as a developer. We had collabration of 2 ecological companies of Kazakhstan and Russia, ”Koktem Tech” where I am tech lead of company and ”Integral” Russian biggest green tech company. Little bit about current situation of environmental permits of Kazakhstan, we are currently using model approved in 1986 named OND-86. This model does not coincide with current realities and gives incorrect sanitary protection zones for residential areas, which could lead to an environmental disaster. Our country uses at this moment computer Russian program called ”ERA” which they themselves have not used since 2013. But for out Ministry of ecology doesnt see ant problem. We will also try to solve this problem and develop new desktop or web application which will correspond to current realities.
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Makhanbet B / Automatic Monitoring System of emissions / 2024 / Computer Science - 7M06102