1. komponenta

Lecture type	Total
Lectures	30
Seminar	30

* Load is given in academic hour (1 academic hour = 45 minutes)

COURSE OBJECTIVES: Introduction to the concept and methods of risk assessment and its application in environmental management.
COURSE CONTENT (SYLLABUS):
1. The concept of risk. Perception of risk. Uncertainty.
2. hazards, probabilities and consequences. Scenario analysis.
3. conceptual models in risk assessment. The concept of the source-path receptor. Examples.
4. environmental risk assessment, EU (ERA); health risk, environmental risk, specific industrial risks
5. risk assessment methodologies; steps in the assessment process
6. chemical risk assessment. Properties and adverse effects.
7. hazard identification and dose-response relationships. Assessment factors NOAEL, LOAEL, action threshold
8. Test methods for toxicity and ecotoxicity; LD50, LC50, EC50, IC50. In silico methods; QSAR / QSPR techniques for predicting the risk of organic pollutants in the environment
9. Exposure assessment and characterization of environmental risks; PNEC / PEC.
10. regulatory requirements for risk control of industrial installations. Principles and objectives of the Seveso II Directive.
11. elements of risk assessment of major accident hazards. Risk matrix, its significance and application in risk management.
12. relationship between waste management measures and specific hazards and risks to human health and the environment. Landfill risk assessment framework; routes of exposure.
13. methodology of collection and analysis of information for risk assessment. Qualitative and quantitative methods of risk assessment.
14. application of Bayes' theorem for quantitative risk assessment. Examples.
15. Logical trees and their application in risk assessment. Risk analysis; event tree and fault tree. Examples
DEVELOPMENT OF GENERAL AND SPECIFIC COMPETENCIES OF STUDENTS: Understand the basic principles of risk analysis and risk assessment methodology for human health and the environment. Adopt methodology for collecting and analysing information for risk assessment, and qualitative and quantitative methods of risk assessment.

STUDENT RESPONSIBILITIES: Regular attendance at lectures and seminars. Active participation in discussions and case analyses. Debate.
FORMAT OF TEACHING: Lectures. Seminars.
SURVEILLANCE STUDENT WORK: Partial exams (2) or written exam
METHOD OF MONITORING THE QUALITY AND PERFORMANCE OF COURSES: student survey.
LEARNING OUTCOMES AT THE LEVEL OF COURSE (4-8):
1. Identify potential adverse effects of hazard sources in different risk scenarios.
2. argue different risk perceptions and uncertainties in risk assessment.
3. rank risk using matrix method
4. Valorise conditional probability by applying Bayes' theorem in risk assessment.
5. Assess the routes of exposure in risk assessment of municipal waste landfills.
6. Identify cause-and-effect relationships in risk analysis using logical trees.
LEARN OUTCOMES AT THE LEVEL OF THE PROGRAMME STUDY:
1. recognize the problem by applying integrated basic sciences in the field of environmental protection
2. apply probability and statistics on the data collected and risk assessment
3. develop independent opinions on global processes and their understanding

REQUIRED LITERATURE:
Teaching materials available on the course website https://www.fkit.unizg.hr/predmet/proriz_a

1. procjena rizika, Nastavni materijali dostupni na stranicama kolegija https://www.fkit.unizg.hr/predmet/proriz_a, M. Kovačić i A. Lončarić Božić,
2. R. E. Hester, R. M. Harrison, Risk Assessment and Risk Management, The Royal Society of Chemistry, Cambridge, 1998.
   D. T. Allen, D. R. Shonnard, Green Engineering, Prentice Hall PTR, New York, 2002.,

Izborni kolegij - Regular studij - Environmental Engineering
Izborni kolegij III - Regular studij - Environmental Engineering