journal article·2018-11-27Open access

Numerical Simulation of Propagation Characteristics of Hazardous Noxious Substances Spilled from Transport Ships

Chan Ho Jeong, Min Kyu Ko, Moonjin Lee, Seong Hyuk Lee

Applied Sciences· Volume 8· Issue 12

Abstract

This study numerically investigates the propagation characteristics of hazardous noxious substances (HNSs) spilled from transport ships and suggests the metal model for predicting the HNS propagation velocity varied with the current velocity and HNS density. The commercial computational fluid dynamics (CFD) code ANSYS FLUENT (V. 17.2) was used for two-dimensional simulation based on the Reynolds-averaged Navier–Stokes (RANS) equation together with the standard k–ε model. The scalar transport equation was also solved to estimate the spatial and transient behaviors of HNS. The main parameters to analyze the near-field propagation characteristics of HNSs spilled from the ship were layer thickness, HNS concentration, and propagation velocity. It was found that advection becomes more dominant in propagating an HNS layer that becomes thinner as the current velocity increases. When the current velocity increased beyond a certain level (~0.75 m/s), the mixing effect made the HNS layer less dense but thicker. Consequently, lower-density HNS causes increased HNS concentrations at sea level. As the current velocity increased, the concentration distribution became homogeneous regardless of HNS density. In particular, the second-order response surface model provided for three variables on the basis of the numerical results for 15 cases with the use of the general least-squares regression method, showing a good fit. This model would be useful in estimating the propagation velocity of HNS spilled from a ship.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Oil Spill Detection and Mitigation · Toxic Organic Pollutants Impact · Environmental Chemistry and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering, Chung-Ang University, Seoul 156-756, Korea

Department of Mechanical Systems Engineering, Chung-Ang University, Seoul 156-756, Korea

Maritime Safety and Environmental Research Division, Korea Research Institute of Ships & Ocean Engineering, Daejeon 34103, Korea

Funding

Chung-Ang University · Ministry of Oceans and Fisheries

References (20)

Show source-provided references
1. Review on hazardous and noxious substances (HNS) involved in marine spill incidents an online database10.1016/j.jhazmat.2014.11.005 ↗
2. Offshore experiments on styrene spillage in marine waters for risk assessment10.1016/j.marpolbul.2012.04.022 ↗
3. Hazardous and noxious substances (HNS) in the marine environment: Prioritizing HNS that pose major risk in a European context10.1016/j.marpolbul.2010.09.016 ↗
4. Development of a risk based prioritisation methodology to inform public health emergency planning and preparedness in case of accidental spill at sea of hazardous and noxious substances (HNS)10.1016/j.envint.2014.05.012 ↗
5. Numerical prediction of oil amount leaked from a damaged tank using two-dimensional moving particle simulation method10.1016/j.oceaneng.2013.05.009 ↗
6. Risk assessment and national measure plan for oil and HNS spill accidents near Korea10.1016/j.marpolbul.2013.05.021 ↗
7. A review of oil, dispersed oil and sediment interactions in the aquatic environment: Influence on the fate, transport and remediation of oil spills10.1016/j.marpolbul.2013.12.024 ↗
8. Simulation of a Hazardous and Noxious Substances (HNS) spill in the marine environment: Lethal and sublethal effects of acrylonitrile to the European seabass10.1016/j.chemosphere.2013.05.064 ↗
9. Oil spill simulation and validation in the Arabian (Persian) Gulf with special reference to the UAE coast10.1007/s11270-007-9413-1 ↗
10. The oil spill model OILTRANS and its application to the Celtic Sea10.1016/j.marpolbul.2012.07.036 ↗
11. Zhong, X., Niu, H., Wu, Y., Hannah, C., Li, S., and King, T. (2018). A Modeling study on the oil spill of M/V Marathassa in Vancouver harbor. J. Mar. Sci. Eng., 6.10.3390/jmse6030106 ↗
12. Enhancing the management response to oil spills in the Tuscany Archipelago through operational modelling10.1016/j.marpolbul.2014.03.021 ↗
13. Zafirakou, A., Themeli, S., Tsami, E., and Aretoulis, G. (2018). Multi-criteria analysis of different approaches to protect the marine and coastal environment from oil spills. J. Mar. Sci. Eng., 6.10.3390/jmse6040125 ↗
14. Understanding the flow properties by a numerical modeling in the South Sea of Korea10.7837/kosomes.2012.18.4.295 ↗
15. Kriging models for global approximation in simulation based multidisciplinary design optimization10.2514/2.1234 ↗
16. Coupled CFD-response surface method (RSM) methodology for optimizing jettability operating conditions10.3390/chemengineering2040051 ↗
17. Montgomery, D.C. (2017). Design and Analysis of Experiments, John Wiley & Sons, Inc.. [9th ed.].
18. Best, H., and Wolf, C. (2015). The SAGE Handbook of Regression Analysis and Causal Inference, SAGE Reference.10.4135/9781446288146 ↗
19. Myers, R.H., Montgomery, D.C., and Cook, C.M. (2016). Response Surface Methodology—Process and Product Optimization Using Designed Experiments, John Wiley & Sons, Inc.
20. Experimental investigation of oil leakage from damaged ships due to collision and grounding10.1016/j.oceaneng.2011.09.028 ↗