eCite Digital Repository
Development of a methodology for estimation of ballast water Imported to Australian ports
Citation
Yoong, JLX and Enshaei, H, Development of a methodology for estimation of ballast water Imported to Australian ports, Journal of Basic and Applied Scientific Research, 6, (5) pp. 14-25. ISSN 2090-4304 (2016) [Refereed Article]
 | PDF 452Kb |
Copyright Statement
Copyright 2016 TextRoad Publication Licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/
Official URL: http://www.textroad.com/Basic%20and%20Applied%20Sc...
Abstract
The importance of identifying the location and magnitude of risks imposed from ship-mediated bioinvasion in Australia is significant after the assessment of previous events that have impacted the Australian ecosystem and economy. This paper provides an overview of the developed methodology adopted for the estimation of ballast water imported to Australian ports. The resultant amount of ballast water discharged for a total of 31ports in a period of five years was estimated and results were presented. A high level of risk was identified at the northwest of Australia, where 60 percent of the total ballast water imported was discharged for the year 2013. A significantly large amount of ballast water was also discovered in the regions of Newcastle and Hay Point. It was discovered that bulk carriers account for 94 percent of mediated ballast water. Proportion factors for predictions have been established based on the relation between the mass of freight exported with the amount of ballast water discharged. The study recommends a sensitivity analysis of proportion factors based on varying selected deadweight for individual ship type and size categories. To mitigate risks from ship-mediated bioinvasion, the origin of the ballast water imported should be investigated as well as the type of foreign marine life introduced. The development of a methodology in the classification of ship sizes for general cargo ships, LPG/LNG, livestock and vehicle carriers was suggested to improve the accuracy of the estimation.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | bioinvasion, vessel traffic, automatic identification system, artificial neuron network, deadweight tonnage, gross tonnage, proportion factor |
| Research Division: | Engineering |
| Research Group: | Maritime Engineering |
| Research Field: | Ocean Engineering |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding Knowledge |
| Objective Field: | Expanding Knowledge in Technology |
| UTAS Author: | Yoong, JLX (Mr Joel Lim) |
| UTAS Author: | Enshaei, H (Dr Hossein Enshaei) |
| ID Code: | 109748 |
| Year Published: | 2016 |
| Deposited By: | Seafaring |
| Deposited On: | 2016-06-29 |
| Last Modified: | 2017-10-19 |
| Downloads: | 259 View Download Statistics |
Repository Staff Only: item control page