Optimisation of Lagrangian Flash Flood Microsensors Dropped by Unmanned Aerial Vehicle

Handle URI:
http://hdl.handle.net/10754/317257
Title:
Optimisation of Lagrangian Flash Flood Microsensors Dropped by Unmanned Aerial Vehicle
Authors:
Abdulaal, Mohammed
Abstract:
Abstract Physical Sciences and Engineering Division Mechanical Engineering Department Master of Science Optimisation of Lagrangian Flash Flood Microsensors Dropped by Unmanned Aerial Vehicle by Mohammed Abdulaal Floods are the most common natural disasters, causing thousands of casualties every year in the world. In particular, ash ood events are particularly deadly because of the short timescales on which they occur. Classical sensing solutions such as xed wireless sensor networks or satellite imagery are either too expensive or too inaccurate. Nevertheless, Unmanned Aerial Vehicles equipped with mobile microsensors could be capable of sensing ash oods in real time for a low overall cost, saving lives and greatly improving the e ciency of the emergency response. Using ood simulation data, we show that this system could be used to detect ash oods. We also present an ongoing implementation of this system using 3D printed sensors and sensor delivery systems on a UAV testbed as well as some preliminary results.
Advisors:
Claudel, Christian G. ( 0000-0003-0702-6548 )
Committee Member:
Lubineau, Gilles ( 0000-0002-7370-6093 ) ; Thoroddsen, Sigurdur T ( 0000-0001-6997-4311 )
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Program:
Mechanical Engineering
Issue Date:
May-2014
Type:
Thesis
Appears in Collections:
Theses; Physical Sciences and Engineering (PSE) Division; Mechanical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.advisorClaudel, Christian G.en
dc.contributor.authorAbdulaal, Mohammeden
dc.date.accessioned2014-05-21T09:17:52Z-
dc.date.available2014-05-21T09:17:52Z-
dc.date.issued2014-05en
dc.identifier.urihttp://hdl.handle.net/10754/317257en
dc.description.abstractAbstract Physical Sciences and Engineering Division Mechanical Engineering Department Master of Science Optimisation of Lagrangian Flash Flood Microsensors Dropped by Unmanned Aerial Vehicle by Mohammed Abdulaal Floods are the most common natural disasters, causing thousands of casualties every year in the world. In particular, ash ood events are particularly deadly because of the short timescales on which they occur. Classical sensing solutions such as xed wireless sensor networks or satellite imagery are either too expensive or too inaccurate. Nevertheless, Unmanned Aerial Vehicles equipped with mobile microsensors could be capable of sensing ash oods in real time for a low overall cost, saving lives and greatly improving the e ciency of the emergency response. Using ood simulation data, we show that this system could be used to detect ash oods. We also present an ongoing implementation of this system using 3D printed sensors and sensor delivery systems on a UAV testbed as well as some preliminary results.en
dc.language.isoenen
dc.subjectOVAen
dc.subjectMicro Sensoren
dc.subjectFlooden
dc.subjectLoglangianen
dc.titleOptimisation of Lagrangian Flash Flood Microsensors Dropped by Unmanned Aerial Vehicleen
dc.typeThesisen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
thesis.degree.grantorKing Abdullah University of Science and Technologyen_GB
dc.contributor.committeememberLubineau, Gillesen
dc.contributor.committeememberThoroddsen, Sigurdur Ten
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.nameMaster of Scienceen
dc.person.id124295en
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