Digital regolith mapping of clay across the Ashley irrigation area using electromagnetic induction data and inversion modelling

Geoderma ◽  
2019 ◽  
Vol 346 ◽  
pp. 18-29 ◽  
Author(s):  
Xueyu Zhao ◽  
Jie Wang ◽  
Dongxue Zhao ◽  
Nan Li ◽  
Ehsan Zare ◽  
...  
Keyword(s):  
Electromagnetic Induction ◽  
Irrigation Area ◽  
And Inversion ◽  
Inversion Modelling

Reconnaissance scale mapping of salinity in three‐dimensions using EM38 and EM34 data and inversion modelling

2020 ◽  
Vol 31 (18) ◽  
pp. 2936-2951
Author(s):  
Jie Wang ◽  
Xueyu Zhao ◽  
Dongxue Zhao ◽  
Maryem Arshad ◽  
Ehsan Zare ◽  
...  
Keyword(s):  
Three Dimensions ◽  
And Inversion ◽  
Inversion Modelling

Soil salinity monitoring and detection of obstructed drainage pipes in the B-XII irrigation district (SW Spain) using electromagnetic induction sensing and inversion. 

2021 ◽  
Author(s):  
Mario Ramos ◽  
Mohhamad Farzamian ◽  
José Luis Gómez ◽  
Alfonso González ◽  
Benito Salvatierra ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Salinity ◽  
Electromagnetic Induction ◽  
Drainage System ◽  
State Agency ◽  
Irrigation District ◽  
Sw Spain ◽  
Hard Soil ◽  
Moisture Conditions ◽  
And Inversion

<p>Inversion of electromagnetic induction (EMI) signals is increasingly used for monitoring soil salinity in irrigated fields. In the B-XII irrigation district (SW Spain) the build-up of high salt concentrations in the topsoil is often related with a deficient performance of the underlying drainage system resulting in higher-than-average soil moisture conditions and salinization. This work aims at using EMI sensing and inversion to identify and localize problems (<em>e.g</em>. obstruction) with the drainage system in a 12.5 ha irrigated field in the B-XII irrigation district. The identified salinity hotspots in the EMI images are further validated using remotely sensed NDVI data and detailed information obtained during the cleaning of the drainage system, in addition to hard soil data. This study shows that EMI sensing and inversion can pinpoint problems with the drainage system that result in salinity hotspots and identify areas where the drainage system should be cleaned or substituted.</p><p> </p><p>This work is funded by the Spanish State Agency for Research through grants PID2019-104136RR-C21 and PID2019-104136RR-C22 and by IFAPA/FEDER through grant AVA2019.018.</p>

scholarly journals Exploration Disaster Source of Mine Water by Electromagnetic Radiation

2020 ◽  
Vol 26 (5) ◽  
pp. 16-21
Author(s):  
Benyu Su ◽  
Zhixiong Li ◽  
Rongyao Li ◽  
Rongfu Rao ◽  
Jingcun Yu
Keyword(s):  
Coal Seam ◽  
Electromagnetic Radiation ◽  
Underground Mining ◽  
Parameter Distribution ◽  
Forward Modelling ◽  
Electric Parameter ◽  
Inversion Theory ◽  
Deep Underground ◽  
And Inversion ◽  
Inversion Modelling

geological hazard in deep underground mining. Before the rock mass explosion, electromagnetic energy will radiate outward during the deformation and rupture of the coal rocks. Hence, it is possible to use the electromagnetic radiation to predict geological disasters in coal mines. A challenging task using the active source electromagnetic survey technique is to detect geological anomalies, such as disaster water sources and geological structures. To this end, this paper proposes a new electromagnetic radiation solution based on the forward and inversion theory to detect geological anomalies in the coal seam. Based on typical coal mine geological models, the forward modelling and inversion modelling have been performed, respectively. The forward modelling explained the geological anomalies inside the coal seam, which were very sensitive to the response of the radiated electromagnetic field; especially, for the water-bearing geological anomalies. The inversion modelling discovered that the inversion geo-electric parameter distribution agreed well with the actual model. As a result, the proposed method is feasible for geological anomalies detection.

Monitoring changes in salinity and sodicity in a tile-drained field in the B-XII irrigation district (SW Spain) using electromagnetic induction sensing and inversion.

2021 ◽  
Author(s):  
José Luis Gómez Flores ◽  
Mario Ramos Rodriguez ◽  
Alfonso González Jiménez ◽  
Mohammad Farzamian ◽  
Juan Francisco Herencia Galán ◽  
...  
Keyword(s):  
Electromagnetic Induction ◽  
Saline Water ◽  
Drainage System ◽  
State Agency ◽  
Irrigation District ◽  
Irrigated Agriculture ◽  
Sw Spain ◽  
Strong Relation ◽  
Parameters Inversion ◽  
And Inversion

<p>Continuous monitoring of soil salinity/sodicity is of prime importance in environments such as the B-XII irrigation district (SW Spain) where a shallow saline water table and intensive irrigated agriculture create a fragile equilibrium between salt accumulation and leaching in the topsoil. We evaluate to which extend electromagnetic induction (EMI) sensing and inversion with limited calibration can be used to accomplish such monitoring purposes, given that widespread soil sampling and laboratory analyses are prohibitive for economic and technical reasons.</p><p>Detailed EMI surveys were performed in 2017 and 2020 in a 4-ha tile-drained field with a heavy clay soil. Soil samples were taken at different locations and depths along a transect and analyzed for salinity/sodicity-related parameters. Inversion of the EMI signals along the investigated transect yielded consistent conductivity images for both years and showed a strong relation (R<sup>2</sup><0.95) with saturated paste extract conductivity. The observed spatial conductivity patterns persisted from 2017 to 2020, although the obtained absolute values of the salinity/sodicity parameters changed slightly. This indicates that salinity hotspots persist in time and are mainly associated with wet locations, where salt movement towards the topsoil is promoted, possibly as a result of deficiencies in the performance of the drainage system.</p><p>Our results show that inversion of EMI signals offers a powerful means for accurately monitoring spatial and temporal changing salinity/sodicity under the specific conditions of the B-XII irrigation district.</p><p> </p><p><strong>Acknowledgement</strong></p><p>This work is funded by the Spanish State Agency for Research through grant PID2019-104136RR-C21 and by IFAPA/FEDER through grant AVA2019.018.</p><p> </p>

Simultaneous calibration and inversion algorithm for multiconfiguration electromagnetic induction data acquired at multiple elevations

Geophysics ◽  
2019 ◽  
Vol 84 (1) ◽  
pp. EN1-EN14 ◽  
Author(s):  
Xihe Tan ◽  
Achim Mester ◽  
Christian von Hebel ◽  
Egon Zimmermann ◽  
Harry Vereecken ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Electromagnetic Induction ◽  
Synthetic Data ◽  
Ground Surface ◽  
Acquisition Time ◽  
Inversion Algorithm ◽  
Transect Line ◽  
Promising Tool ◽  
Reference Measurements ◽  
And Inversion

Electromagnetic induction (EMI) is a contactless and fast geophysical measurement technique. Frequency-domain EMI systems are available as portable rigid booms with fixed separations up to approximately 4 m between the transmitter and the receivers. These EMI systems are often used for high-resolution characterization of the upper subsurface meters (up to depths of approximately 1.5 times the maximum coil separation). The availability of multiconfiguration EMI systems, which measure multiple apparent electrical conductivity ([Formula: see text]) values of different but overlapping soil volumes, enables EMI data inversions to estimate electrical conductivity ([Formula: see text]) changes with depth. However, most EMI systems currently do not provide absolute [Formula: see text] values, but erroneous shifts occur due to calibration problems, which hinder a reliable inversion of the data. Instead of using physical soil data or additional methods to calibrate the EMI data, we have used an efficient and accurate simultaneous calibration and inversion approach to avoid a possible bias of other methods while reducing the acquisition time for the calibration. By measuring at multiple elevations above the ground surface using a multiconfiguration EMI system, we simultaneously obtain multiplicative and additive calibration factors for each coil configuration plus an inverted layered subsurface electrical conductivity model at the measuring location. Using synthetic data, we verify our approach. Experimental data from five different calibration positions along a transect line showed similar calibration results as the data obtained by more elaborate vertical electrical sounding reference measurements. The synthetic and experimental results demonstrate that the multielevation calibration and inversion approach is a promising tool for quantitative electrical conductivity analyses.

scholarly journals Improved Geoarchaeological Mapping with Electromagnetic Induction Instruments from Dedicated Processing and Inversion

2016 ◽  
Vol 8 (12) ◽  
pp. 1022 ◽  
Author(s):  
Anders Christiansen ◽  
Jesper Pedersen ◽  
Esben Auken ◽  
Niels Søe ◽  
Mads Holst ◽  
...  
Keyword(s):  
Electromagnetic Induction ◽  
And Inversion
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