The Modelling of Industrial Contaminant Spillage using Hydrodynamics in conjunction with Stereophotogrammetry
School Name
Spring Valley High School
Grade Level
11th Grade
Presentation Topic
Computer Science
Presentation Type
Mentored
Oral Presentation Award
3rd Place
Abstract
Oil spills are a huge economic and ecological issue that many companies face every day. They cost millions of dollars to fix and cause devastating effects to the ocean’s ecosystems. In the event of the Deepwater Horizon oil spill in 2010, around $54 billion was lost in total when it was all said and done. The purpose of this experiment was to investigate the use of SPH modelling in conjunction with stereophotogrammetry in order model an industrial oil spill to predict which areas might be affected in a certain landscape. It is hypothesized that if a UAV is used to create a stereophotogrammetric model of a distinct landscape, this model can be integrated with SPH technology in order to accurately predict what areas of land would be affected in the event of an oil spill. First, pictures were taken of a landscape using an RTK Sensefly UAV. The point cloud data was then exported into a program called Global Mapper along with the GNS data and other aspects to create the stereophotogrammetric model. From this model, an industrial oil spill was modelled through the use of a raw digital elevation model (REM). Both an example of a saddle and a hill were tested. They showed the flow areas that were most likely to be affected and how much they would be saturated. This illustrated how the oil spread throughout the environment and the area that would be affected in a given amount of time. The model was able to successfully predict where the liquid would flow throughout the landscape and displayed this information. It showed the hypothetical pools of oil, and where they would accumulate the most during a spill. This would aid a response team reacting to the spill by giving them information on how far the oil had spread or by giving information on prevention of damage.
Recommended Citation
McLean, Thomas, "The Modelling of Industrial Contaminant Spillage using Hydrodynamics in conjunction with Stereophotogrammetry" (2017). South Carolina Junior Academy of Science. 62.
https://scholarexchange.furman.edu/scjas/2017/all/62
Location
Wall 119
Start Date
3-25-2017 11:00 AM
Presentation Format
Oral and Written
Group Project
No
The Modelling of Industrial Contaminant Spillage using Hydrodynamics in conjunction with Stereophotogrammetry
Wall 119
Oil spills are a huge economic and ecological issue that many companies face every day. They cost millions of dollars to fix and cause devastating effects to the ocean’s ecosystems. In the event of the Deepwater Horizon oil spill in 2010, around $54 billion was lost in total when it was all said and done. The purpose of this experiment was to investigate the use of SPH modelling in conjunction with stereophotogrammetry in order model an industrial oil spill to predict which areas might be affected in a certain landscape. It is hypothesized that if a UAV is used to create a stereophotogrammetric model of a distinct landscape, this model can be integrated with SPH technology in order to accurately predict what areas of land would be affected in the event of an oil spill. First, pictures were taken of a landscape using an RTK Sensefly UAV. The point cloud data was then exported into a program called Global Mapper along with the GNS data and other aspects to create the stereophotogrammetric model. From this model, an industrial oil spill was modelled through the use of a raw digital elevation model (REM). Both an example of a saddle and a hill were tested. They showed the flow areas that were most likely to be affected and how much they would be saturated. This illustrated how the oil spread throughout the environment and the area that would be affected in a given amount of time. The model was able to successfully predict where the liquid would flow throughout the landscape and displayed this information. It showed the hypothetical pools of oil, and where they would accumulate the most during a spill. This would aid a response team reacting to the spill by giving them information on how far the oil had spread or by giving information on prevention of damage.
Mentor
Mentor: Kenny McLean, CDS Corp.