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You are here: Home / Library / RBINS Staff Publications 2023 OA / D4.4 - Model validation

Ludovic Lepers, Ligia Pinto, Knut-Frode Dagestad, Vincent Gouriou, SĂ©bastien Legrand, and William Giraud (2023)

D4.4 - Model validation

Royal Belgian Institute of Natural Sciences, MANIFESTS project report(D4.4).

The transportation of hazardous and noxious substances (HNS) on ships has been on the rise in recent years, posing a significant threat to both human health and the environment. The spill of these chemicals can have far-reaching consequences, particularly when dealing with highly volatile substances that can spread rapidly and unpredictably. The MANIFESTS project has been established with the goal of better understanding the behaviour of these substances to improve response capabilities in the event of a spill. Through research and analysis, the project aims to improve already existing models for predicting the behaviour of HNS in various environments, and to validate these models through a series of experiments and real-world scenarios. Models are essential tools to understand and predict the behaviour of HNS in the event of a spill. However, they are not perfect and have limitations in terms of accuracy, which must be considered by the users. During the MANIFESTS project, the models CHEMMAP, OpenDrift, OSERIT, and MOHID, have been utilized and compared against separate sets of data. These models will be introduced briefly in the next section. This report consists of three validation sections. The first section compares a small-scale laboratory experiment that visualizes the competition between evaporation, dissolution, and volatilization, and assesses the model's ability to simulate these processes. The second section investigates the impact of wind on the evaporation rate and provides as much environmental data as possible to the model, using a wind tunnel. The two last section of this report compares the models' simulation with the sea trials that took place at the end of May 2022. These sections compare both the drift in the water and the air dispersion against field data. By analysing these different experiments, we can understand the capabilities and limitations of the models used in this project.
Report, Open Access, PDF available
Models, Modelling