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Research Methodology and Modeling of Processes of Industrial Waste Treatment
Major: Ecology and Environmental Protection
Code of Subject: 7.101.01.O.2
Credits: 5
Department: Ecology and Sustainable Environmental Management
Lecturer: associate professor Sabadash Vira
Semester: 1 семестр
Mode of Study: денна
Learning outcomes:
• Assimilation methods for the identification and classification of types of pollution sources and environmental waste management industry.
• Mathematical models exploringof dispersion of pollutants typical sources and principles of ecological forecasting environmental quality.
• Mastering the techniques of design maximum permissible emissions and maximum permissible discharges into water bodies.
• Develop skills in engineering calculation methodologies within the design maximum permissible emissions and maximum permissible discharges using computers.
• Mathematical models exploringof dispersion of pollutants typical sources and principles of ecological forecasting environmental quality.
• Mastering the techniques of design maximum permissible emissions and maximum permissible discharges into water bodies.
• Develop skills in engineering calculation methodologies within the design maximum permissible emissions and maximum permissible discharges using computers.
Required prior and related subjects:
• Introduction to speciality;
• Environmental engineering;
• Basics of industrial ecology.
• Environmental engineering;
• Basics of industrial ecology.
Summary of the subject:
Subject and theoretical base of course "Research methodology and modelling of processes of industrial waste." Study the basic concepts, definitions, position and approaches in mathematical modelling. Mathematical models of ecological processes creation. The principles of calculating of field emission contamination of a set discrete sources; coordinate transformation. Study the calculating algorithm of processes. The method of calculating the maximum permissible concentrations required height pipe size sanitary protection zone.
Recommended Books:
1. Введение в математическое моделирование: Учебное пособие / Под ред. П. В. Трусова. – М.: Университетская книга, Логос, 2007.– 440 с.
2. Станжицький О.М., Таран Є.Ю., Гординський Л.Д. Основи математичного моделювання : Навчальний посібник. – К.: Видавничо-поліграфічний центр “Київський університет”, 2006. – 96 с.
3. Павленко П.М. Основи математичного моделювання систем і процесів: Навчальний посібник. – К.: Книжкове вид-во НАУ, 2010.– 198 с.
2. Станжицький О.М., Таран Є.Ю., Гординський Л.Д. Основи математичного моделювання : Навчальний посібник. – К.: Видавничо-поліграфічний центр “Київський університет”, 2006. – 96 с.
3. Павленко П.М. Основи математичного моделювання систем і процесів: Навчальний посібник. – К.: Книжкове вид-во НАУ, 2010.– 198 с.
Assessment methods and criteria:
• Current control, oral examination (30%)
• final control (control measure, exam), written-oral form (70%)
• final control (control measure, exam), written-oral form (70%)