Simulation of oil spill behaviour and response operations in PISCES

Abstract

The aim of this paper is to present a novel method of numerical simulation of oil spill behaviour in the conditions of human response.The main point of the method is to extend the Lagrangian approach by introducing interactions between oil particles. This innovation allows some essential disadvantages of the traditional Lagrangian method to be compensated, in particular the impossibility of describing oil interaction with different kinds of natural and artificial barriers like coastlines and booms. The tuning of the interparticle interaction was made via multi-stage parametric optimization with the aid of the alternating-variable descent technique, and includes the verification with known semi-empirical solutions as well as with different logical tests.The model takes into account the main physicochemical processes occurring in the oil slick, which include evaporation, dispersion, emulsification and viscosity variation. Simulation is carried out with regard to the following environment factors: coastline, field of currents, weather, sea state, ice conditions and environmentally sensitive areas. In addition, models of response resource application including booming and recovery have been developed.The presented technique is used as model part of the PISCES (Potential Incident Simulation Control and Evaluation System) oil spill simulator produced by TRANSAS and designed for planning spill recovery after accidental marine oil spills.

Modeling the effectiveness of oil combating from an ecological perspective – A Bayesian network for the Gulf of Finland; the Baltic Sea

“…To be able to evaluate the exposure of species in a more realistic way, a more inclusive oil drift model should be used. Within the Baltic Sea several such models are in use, including Seatrack Web [62] and PISCES [63]. However, these software systems are mainly designed for forecasting the movement of oil either in real or scenario-type situations, and their ability to produce reliable probability estimates on oil drifting is limited.…”

Marine Pollution Simulation and Comparative Intervention Procedures Based on Case Scenario

“…The velocity of the runoff at a given point is produced by linear interpolation of the reference vector value. The spreading of oil is based on the Langrangian model, in which the particles that make up the oil mass are subjected to horizontal motion as a result of the effects of current, wind and diffusion (Delgado et al, 2006;Aydın and Solmaz, 2019).…”

Numerical Modelling of Oil Spill Transport in Tide-Dominated Estuaries: A Case Study of Humber Estuary, UK

“…The Lagrangian approach involves representing oil slicks by several constituents (particles) that are transported by advection and dispersion [83]. In contrast, some oil spill models are based on Eulerian approaches [84,85], which either apply the mass and momentum equation to the oil slick layer or apply a convection-diffusion equation [86,87]. In general, Lagrangian models are more popular in oil spill modelling because complexities that arise from irregular and discontinuous oil slick shapes are more easily simulated than with Eulerian models [88].…”