The development of exposure models involves several steps:
Data Collection: Gathering relevant data on the chemical properties, environmental conditions, and population characteristics. Model Selection: Choosing the appropriate model type based on the scenario and available data. Parameterization: Defining input parameters such as exposure duration, frequency, and concentration levels. Validation and Calibration: Ensuring the model's accuracy by comparing its predictions against empirical data. Scenario Analysis: Running the model under different conditions to explore various exposure scenarios.
