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.
| Identifer | oai:union.ndltd.org:kaust.edu.sa/oai:repository.kaust.edu.sa:10754/317257 |
| Date | 05 1900 |
| Creators | Abdulaal, Mohammed |
| Contributors | Claudel, Christian G., Physical Science and Engineering (PSE) Division, Lubineau, Gilles, Thoroddsen, Sigurdur T |
| Source Sets | King Abdullah University of Science and Technology |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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