Near-Shore Hydrodynamic Conditions and Chemical Plume Tracking

2004 ◽  
Author(s):  
Derek Fong ◽  
Stephen Monismith
2008 ◽  
Vol 24 (2) ◽  
pp. 307-317 ◽  
Author(s):  
D.J. Harvey ◽  
Tien-Fu Lu ◽  
M.A. Keller

2020 ◽  
pp. 1489-1518
Author(s):  
Tien-Fu Lu ◽  
Mohamed Awadalla

Using autonomous robot to detect chemical emissions and track plumes caused by fire, toxic gas leakage and explosive at their early stages, and swiftly localize their sources can avoid risking human health and potentially save lives. The benefits of deploying autonomous robot(s) rather than human beings in performing such hazardous tasks are obvious. Even though using real robots to research, develop, and experiment in real environment are normally preferred, modelling and simulation are indeed sometimes better options when such as a consistent and repeatable complex environment with controllable variables (i.e. wind velocity and plume propagation in this case) for experiments is important. This chapter presents one out of many possible modelling and simulation approaches for the research related to chemical plume tracking and source localization using robots, and covers the modelling of robot, the modelling of the environment, and the integration of both to become a platform.


2001 ◽  
Vol 73 (15) ◽  
pp. 3662-3668 ◽  
Author(s):  
Timo Kikas ◽  
Hiroshi Ishida ◽  
Donald R. Webster ◽  
Jiří Janata

2002 ◽  
Vol 74 (15) ◽  
pp. 3605-3610 ◽  
Author(s):  
Timo Kikas ◽  
Hiroshi Ishida ◽  
Jirí Janata

2014 ◽  
Vol 971-973 ◽  
pp. 93-97
Author(s):  
Xiang Yao Meng ◽  
Zhi Ming Qiu ◽  
Peng Zhang

A new discrete chemical plume model based on CFD was established, which avoids the shortcomings of the current model. In this model CFD was applied to simulate the turbulent environment of chemical plume, while the chemical substances contained in the plume were modeled as discrete phase. Utilizing this model, chemical plume under water was simulated numerically and analyzed hereafter. The transport characteristics of simulated plume were consistent with existing experimental results. Based on the simulation results, the effect of flow field on plume transport was also analyzed. The model proves an efficient approach to simulate the transport process in different environment, as well as analyze various types of actual situations. Moreover, this model can provide the theoretical basis for plume tracking algorithm research and simulation platform, which promotes significantly the research on chemical plume tracking.


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