Modeling of TNT transport from landmines: Numerical approach

Irrazábal, Maik; Hernández‐Rivera, Samuel P.; Briano, Julio G.

doi:10.1016/j.chemosphere.2009.07.008

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…For example, the level of explosives in the chemical signatures of some types of Yugoslavian landmines buried under the ground was investigated in details [12]. In addition, a recent mathematical model has been used to describe the distribution and diffusion of explosives over buried landmines in different environmental conditions [13].…”

Section: Gc/ms Analyses Of Organic Compounds Given Off By the Plasticmentioning

confidence: 99%

Detection of explosives by olfactory sensory neurons

Corcelli

Lobasso

Lopalco

et al. 2010

Journal of Hazardous Materials

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Section: Gc/ms Analyses Of Organic Compounds Given Off By the Plasticmentioning

confidence: 99%

Detection of explosives by olfactory sensory neurons

Corcelli

Lobasso

Lopalco

et al. 2010

Journal of Hazardous Materials

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“…It describes the transport of the explosive chemical emitted by the land mines due to the advection and diffusion processes. Note that numerical solutions for modelling the transport of TNT emanating from land mines [ 29 ] were proposed. In this paper, we model a land mine as a point source placed on an impermeable planar surface and diffusing an explosive chemical, such as the TNT, at a constant rate [ 12 ], and an analytical model for the transport of the explosive vapours is used.…”

Section: The Forward Problemmentioning

confidence: 99%

Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors

Chhadé

Abdallah

Mougharbel

et al. 2014

Sensors

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We consider the problem of localising an unknown number of land mines using concentration information provided by a wireless sensor network. A number of vapour sensors/detectors, deployed in the region of interest, are able to detect the concentration of the explosive vapours, emanating from buried land mines. The collected data is communicated to a fusion centre. Using a model for the transport of the explosive chemicals in the air, we determine the unknown number of sources using a Principal Component Analysis (PCA)-based technique. We also formulate the inverse problem of determining the positions and emission rates of the land mines using concentration measurements provided by the wireless sensor network. We present a solution for this problem based on a probabilistic Bayesian technique using a Markov chain Monte Carlo sampling scheme, and we compare it to the least squares optimisation approach. Experiments conducted on simulated data show the effectiveness of the proposed approach.

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Microbial 2,4,6-trinitrotoluene degradation: could we learn from (bio)chemistry for bioremediation and vice versa?

Stenuit

Agathos

2010

Appl Microbiol Biotechnol

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2,4,6-Trinitrotoluene (TNT) is released in nature from manufacturing or demilitarization facilities but also after munitions firing/detonation or leakage from explosive remnants of war. Due to its toxicity and recalcitrance, life cycle of TNT-containing products and bioremediation are critical issues. As TNT is a strongly electron-deficient aromatic with a positive molecular quadrupole moment and three electrophilic nitro groups, its environmental fate is contingent upon specific sorptive electron donor-acceptor interactions and nucleophilic, reductive (bio)transformations. The microbial degradation of TNT is governed by cometabolism and therefore depends on the growth substrate(s) available in contaminated environments. Long considered an ecotoxicological safety endpoint, the immobilization of TNT metabolites derived from nitro moiety reduction in soil is controversial because they preferentially bind to the dissolved soil organic matter which can be released into surface and groundwaters. The ever-growing biochemical knowledge of TNT degradation has made bioaugmentation and phytoremediation attractive alternatives. While the discovery and engineering of microorganisms with novel/improved degradative abilities are very challenging, the deciphering of the physiological roles of promiscuous enzymes involved in TNT biodegradation, such as type II hydride transferases of the Old Yellow Enzyme family, opens new perspectives for bioremediation. Finally, transgenic plants have enabled effective phytoremediation at the field scale, which is emerging as the preferable in situ option to rehabilitate TNT-contaminated sites.

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Modeling of TNT transport from landmines: Numerical approach

Cited by 4 publications

References 26 publications

Detection of explosives by olfactory sensory neurons

Detection of explosives by olfactory sensory neurons

Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors

Microbial 2,4,6-trinitrotoluene degradation: could we learn from (bio)chemistry for bioremediation and vice versa?

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