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Pregled bibliografske jedinice broj: 758640

Stochastic Inversion of Two-Layer Soil Model Parameters from Electromagnetic Induction Data


Vasić, Darko; Ambruš, Davorin; Bilas, Vedran
Stochastic Inversion of Two-Layer Soil Model Parameters from Electromagnetic Induction Data // Proceedings of the 2015 IEEE Sensors Applications Symposium, IEEE SAS 2015 / Bilas, Vedran ; Flammini, Alessandra (ur.).
Piscataway: IEEE, 2015. str. 210-214 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Stochastic Inversion of Two-Layer Soil Model Parameters from Electromagnetic Induction Data

Autori
Vasić, Darko ; Ambruš, Davorin ; Bilas, Vedran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2015 IEEE Sensors Applications Symposium, IEEE SAS 2015 / Bilas, Vedran ; Flammini, Alessandra - Piscataway : IEEE, 2015, 210-214

ISBN
978-1-4799-6116-0

Skup
2015 IEEE Sensors Applications Symposium, IEEE SAS 2015

Mjesto i datum
Zadar, Croatia, 13-15. 4. 2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
induction sensor; soil conductivity; soil susceptibility; inverse problem; Markov chains; Monte Carlo methods

Sažetak
Soil electrical conductivity and magnetic susceptibility are connected to a number of soil properties such as water content, salinity and clay content. Electromagnetic induction (EMI) sensors for geoelectric characterization and mapping of upper soil layers typically consist of a transmitter and several spatially distributed receiver coils. In this paper, we develop a stochastic approach to the inverse problem of determination of electrical conductivity and magnetic susceptibility of two-layered soil, and thickness of its upper layer. As a forward model, we use an analytical truncated-region EMI model with one transmitter and several receiver coils placed horizontally above the soil. For solving the stochastic inversion problem we employ Markov Chain Monte Carlo (MCMC) approach. We illustrate the application of the inversion procedure on a synthetic single-frequency data set obtained from the model of an EMI sensor. Furthermore, we investigate the measurement uncertainty requirements for the sensor. The model and the stochastic inversion approach are suitable for design of EMI sensors and off-line analysis of the EMI data.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Vedran Bilas (autor)

Avatar Url Davorin Ambruš (autor)

Avatar Url Darko Vasić (autor)


Citiraj ovu publikaciju

Vasić, Darko; Ambruš, Davorin; Bilas, Vedran
Stochastic Inversion of Two-Layer Soil Model Parameters from Electromagnetic Induction Data // Proceedings of the 2015 IEEE Sensors Applications Symposium, IEEE SAS 2015 / Bilas, Vedran ; Flammini, Alessandra (ur.).
Piscataway: IEEE, 2015. str. 210-214 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Vasić, D., Ambruš, D. & Bilas, V. (2015) Stochastic Inversion of Two-Layer Soil Model Parameters from Electromagnetic Induction Data. U: Bilas, V. & Flammini, A. (ur.)Proceedings of the 2015 IEEE Sensors Applications Symposium, IEEE SAS 2015.
@article{article, year = {2015}, pages = {210-214}, keywords = {induction sensor, soil conductivity, soil susceptibility, inverse problem, Markov chains, Monte Carlo methods}, isbn = {978-1-4799-6116-0}, title = {Stochastic Inversion of Two-Layer Soil Model Parameters from Electromagnetic Induction Data}, keyword = {induction sensor, soil conductivity, soil susceptibility, inverse problem, Markov chains, Monte Carlo methods}, publisher = {IEEE}, publisherplace = {Zadar, Croatia} }
@article{article, year = {2015}, pages = {210-214}, keywords = {induction sensor, soil conductivity, soil susceptibility, inverse problem, Markov chains, Monte Carlo methods}, isbn = {978-1-4799-6116-0}, title = {Stochastic Inversion of Two-Layer Soil Model Parameters from Electromagnetic Induction Data}, keyword = {induction sensor, soil conductivity, soil susceptibility, inverse problem, Markov chains, Monte Carlo methods}, publisher = {IEEE}, publisherplace = {Zadar, Croatia} }




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