An analysis is presented of sound measurements performed near two detonations unexploded ordnance (UXO) in the North Sea, at distances ranging from 1.5 to 12 km. The charge masses were 325 and 140 kg TNT equivalent. objective was improve accuracy model predictions area where UXO affect harbour porpoises Sea. For predictions, an explosion emission combined with a shallow-water propagation model....

Continuing advances within unmanned aerial vehicles and scalar magnetic sensor technology are revolutionizing geophysical remote sensing. For perspective, examples of high resolution, low noise data presented in this study enabled detection accurate positioning human-made ferrous objects with a total mass 0.5 kg, from altitudes around above 2 m. However, these new possibilities come requirement...

Reliable and accurate geolocation is essential for robust detection, discrimination and remediation of unexploded ordnance (UXO) and other munitions and explosives-of-concern (MEC). The MEC characterization and remediation activities using the currently available detection and geolocation technologies often yield unsatisfactory results, and are extremely expensive, due mainly to the inability o...

Peter B. Bach, MD, MAPP Department of Epidemiology and Biostatistics Memorial Sloan-Kettering Cancer Center New York, New York James R. Jett, MD Division of Pulmonary Medicine and Oncology Mayo Clinic Rochester, Minnesota Ugo Pastorino, MD Division of Thoracic Surgery Istituto Tumori Milan, Italy Melvyn S. Tockman, MD, PhD Department of Cancer Prevention and Control Moffitt Cancer Center Tampa,...

The efficient characterization of sites contaminated with unexploded ordnance (UXO) is necessary prior to returning these sites to the public domain. Characterization plans must be based on an accurate prediction of the UXO distribution. A doubly stochastic Poisson process is proposed as the underlying model controlling the spatial distribution of UXO. This model allows the single parameter (in...

The primary objective of the research presented here is to develop high-accuracy and high-reliability geolocation algorithms and to prototype a hybrid system based on multisensor integration to improve geolocation of geophysical sensors at munitions and explosives of concern (MEC) sites. The current methods used at MEC sites for buried unexploded ordnance (UXO) detection are extremely expensive...

In most field environments, unexploded ordnance (UXO) items are found among extensive surface and subsurface clutter and shrapnel from ordnance. Traditional algorithms for UXO remediation experience severe difficulty distinguishing buried targets from anthropic clutter. Furthermore, naturally occurring magnetic geologic noise often adds to the complexity of the discrimination task. These proble...

Introduction: The gradual development of coastal areas throughout the world in proximity to military training ranges and areas of past conflict has created a need to locate underwater unexploded ordnance (UXO). These ordnance, which may have veered off course and failed to detonate when they were initially released, may still pose a risk of explosion if they are subject to handling. This compli...