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Grant: Engage Grants Program

Memorial University of Newfoundland

$25,000.00

Detection and classification of multiple unexploded ordnance items using global optimization methods

FY 2016-17

Summary
Unexploded ordnance (UXO) items are explosive weapons that did not explode during military exercises.These items can remain buried in shallow earth and pose a risk of accidental detonation or release of toxicchemicals. In Canada and other countries, millions of acres of land are contaminated by UXO items thatcontinue to cause severe environmental contamination and present risks to personal safety and property. UXOitems are largely metallic and have physical properties that differ significantly from the soil in which they areemplaced. UXO can therefore be detected using geophysical surveys. The geophysical data can be interpretedusing numerical methods to provide quantitative information about the buried items: for example their location,dimensions and composition. This information can help discriminate between different types of buriedmunitions and less dangerous metallic items such as shrapnel and cultural debris, leading to safer, more reliableand more cost effective remediation operations. When a UXO item lies far from any other, the geophysical dataresponse is relatively unambiguous. When there are multiple items in close proximity, their responses overlap,making for a much more challenging detection and classification problem. With such data it can be impossibleto determine how many items exist in the subsurface. The purpose of the proposed research is to develop newnumerical methods that can assess the likelihood of there being different numbers and types of items whilecalculating the required quantitative information about those multiple items. These new methods will be testedon real-life survey data to assess their readiness for transfer to industry. Black Tusk Geophysics, a Canadiancompany that is a world leader in this field, specializes in detection and classification of UXO, primarily forremediation of contaminated land. Incorporation of the new software developed through the Engage Grant intoBlack Tusk's suite of capabilities would enhance Black Tusk's competitiveness by providing novel processingalgorithms. The new software would also result in improved remediation approaches for UXO-contaminatedland in Canada.
Program
Engage Grants Program
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
500419-2016
Name nom
Farquharson, Colin
Department département
Earth Sciences
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2016
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1551
Committee name en
Atlantic Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Atlantique
Area of application code
406
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Pollutants and toxic agents (waste, use 902)
Area of application fr
Polluants et agents toxiques (déchets, utiliser 902)
Research subject code
4300
Research subject group en
Geophysics
Research subject group fr
Géophysique
Research subject en
Geophysics
Research subject fr
Géophysique
Partie
1
Nb partie
1
Application title
Detection and classification of multiple unexploded ordnance items using global optimization methods
Keyword
NSERC
Application summary
Unexploded ordnance (UXO) items are explosive weapons that did not explode during military exercises.These items can remain buried in shallow earth and pose a risk of accidental detonation or release of toxicchemicals. In Canada and other countries, millions of acres of land are contaminated by UXO items thatcontinue to cause severe environmental contamination and present risks to personal safety and property. UXOitems are largely metallic and have physical properties that differ significantly from the soil in which they areemplaced. UXO can therefore be detected using geophysical surveys. The geophysical data can be interpretedusing numerical methods to provide quantitative information about the buried items: for example their location,dimensions and composition. This information can help discriminate between different types of buriedmunitions and less dangerous metallic items such as shrapnel and cultural debris, leading to safer, more reliableand more cost effective remediation operations. When a UXO item lies far from any other, the geophysical dataresponse is relatively unambiguous. When there are multiple items in close proximity, their responses overlap,making for a much more challenging detection and classification problem. With such data it can be impossibleto determine how many items exist in the subsurface. The purpose of the proposed research is to develop newnumerical methods that can assess the likelihood of there being different numbers and types of items whilecalculating the required quantitative information about those multiple items. These new methods will be testedon real-life survey data to assess their readiness for transfer to industry. Black Tusk Geophysics, a Canadiancompany that is a world leader in this field, specializes in detection and classification of UXO, primarily forremediation of contaminated land. Incorporation of the new software developed through the Engage Grant intoBlack Tusk's suite of capabilities would enhance Black Tusk's competitiveness by providing novel processingalgorithms. The new software would also result in improved remediation approaches for UXO-contaminatedland in Canada.