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Coupling of the AQUATOX and EFDC Models for Ecological Impact Assessment of Chemical Spill Scenarios in the Jeonju River, Korea.
- Source :
-
Biology (2079-7737) . Oct2020, Vol. 9 Issue 10, p340-340. 1p. - Publication Year :
- 2020
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Abstract
- Simple Summary: This study proposed a methodology to simulate ecological damage in a toluene spill situation by coupling AQUATOX, an established ecological assessment model, and EFDC, a Lagrangian fluid diffusion model. TheAQUATOX-EFDC simulation showed a significant ecological impact, especially the greatest damage on the fish species group, the top predators. In this study, an ecological impact was assessed for the short-term leak scenario through the AQUATOX-EFDC model, which combines the proven ecological model AQUATOX with the hydrodynamic model EFDC. A case study of the coupled AQUATOX-EFDC model was conducted for 30–30,000 kg toluene leak scenarios in the Jeonju River in South Korea. A 21-day scenario simulation was conducted, and the impact of the toluene spill accident was evaluated by comparing the biomass between the control simulation and the perturbed simulation. As a result of the simulation, it was found that in the scenario in which 3000 kg of toluene was leaked for a day, a substantial change was expected in the range of 0–640 m from the accident site. Additionally, for a 30,000 kg leak, a substantial change was expected in the range of 0–2300 m from the accident site, and the greatest damage was observed for the fish species group, the top predators. As a result, the AQUATOX-EFDC simulation showed a significant ecological impact, and the proposed model will be helpful to understand the ecological impact and establish the management strategy for the ecological risk of the chemical spill. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20797737
- Volume :
- 9
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Biology (2079-7737)
- Publication Type :
- Academic Journal
- Accession number :
- 146661650
- Full Text :
- https://doi.org/10.3390/biology9100340