Soil salinity assessment using electromagnetic induction method in a semi-arid environment — a case study in Tunisia

Slimane, Abir Ben; Bouksila, Fethi; Selim, Tarek; Joumada, Farida

doi:10.1007/s12517-022-10305-0

Cited by 6 publications

(5 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the majority of salinity profiles were found to be uniform (EMaH~EMaV), based on our findings. In addition to this, the vertical EM38 readings were higher than the horizontal ones, as also reflected by Slimane et al [55], which documented that the vertical readings were related to the water content of the whole profile. Gangrade [56] also performed EMI measurements and revealed that the coefficient of correlation for the water content ranged from 0.36 to 0.78, indicating a substantial link between the conductivity values and the water content.…”

Section: Accepted Manuscriptsupporting

confidence: 54%

“…5). Herrero et al [12] stated that the average ECe of the different depths of soils and ECaV and ECaH values displayed significant linear interactions, as also noted by the acceptable calibration equation of Slimane et al [55] based on depth-specific linear regression models with an average r 2 of roughly 0.78 that was found between the soil saturated extract conductivity and the EM38 data. Furthermore, the r 2 values of the calibration equations are slightly higher in flat cultivation compared to ridge cultivation for both vertical and horizontal readings.…”

Section: Accepted Manuscriptmentioning

confidence: 81%

See 1 more Smart Citation

Comparative Analysis of Soil Salinity under Flat and Ridge Cultivation Methods in Citrus Orchards

Kapur

2024

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Soil salinity is a serious and chronic environmental problem affecting both crop yields and soil quality. The Geonics EM38 approach is a commonly used device for monitoring the apparent bulk salinity of the soil-water continuum. In this study, we explored the spatio-temporal variability of soil salinity on a drip-irrigated ridge cultivation, which is an effective agronomic practice and traditionally used flat-cultivated citrus fields on two dates (starting irrigation season April, end of irrigation season November) in the eastern Mediterranean region of Turkey. The calibration models were satisfactory, with correlations over r 2 0.79 for both fields. ECaH and ECaV readings by EM38 were converted to the standard soil salinity values, and so forth, average salinity increased by about 17% and 18% for flat and 20% and 27% for ridge-cultivation in the soil profile, respectively. The reason for the higher increase of the ridge plantation salinity contents obtained via the EM38 readings could be the ridges, which retained the high soil water content for a longer period of time and reduced more gradually, despite the rapid decrease of the high water content in flat cultivation after irrigation. In semi-arid locations, ridge cultivation provides superior soil salinity management. Continuous irrigation may raise the salinity of the soil in flat cultivated fields, whereas in the semi-arid Mediterranean climate, salinity may remain stable for years in ridge cultivation, possibly as a certain rate of soil salinity may be efficiently leached by winter precipitation.

show abstract

Section: Accepted Manuscriptsupporting

confidence: 54%

Section: Accepted Manuscriptmentioning

confidence: 81%

Comparative Analysis of Soil Salinity under Flat and Ridge Cultivation Methods in Citrus Orchards

Kapur

2024

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

show abstract

“…Additionally, it embraces both deterministic and stochastic methods for the prediction of the spatial ECe values from the ECa survey data [71]. To date, several researchers have used the ESAP programs with EM38 readings as a tool to delineate and map ECe distribution at irrigated fields [71,[97][98][99] and district scales [100]. Amezketa [71], using customized ESAP software and EM38 data, assessed and displayed the spatial patterns of soil salinity at an irrigated plot in Spain.…”

Section: Deterministic and Stochastic Conversion Of Ecamentioning

confidence: 99%

“…Also, based on the selected calibration models, the average ECe profile (0-90 cm) was mapped. Slimane et al [100], after obtaining EM38 readings from a 240 ha region of Tunisia, imported the data into the ESAP to determine the appropriate soil sampling locations and to estimate and map the spatial variability of the area's ECe. According to the study's results, the average R 2 of the prediction models for different soil depths was approximately 0.78, (0.6 ≤ R 2 ≤ 0.8) and the ECe variation maps showed that salinity increased with depth.…”

Section: Deterministic and Stochastic Conversion Of Ecamentioning

confidence: 99%

Assessment and Mapping of Soil Salinity Using the EM38 and EM38MK2 Sensors: A Focus on the Modeling Approaches

Petsetidi,

Kargas

2023

Land

View full text Add to dashboard Cite

Soil salinization and its detrimental agricultural, environmental, and socioeconomic impact over extended regions represent a major global concern that needs to be addressed. The sustainability of agricultural lands and the development of proper mitigation strategies require effective monitoring and mapping of the saline areas of the world. Therefore, robust modeling techniques and efficient sensors that assess and monitor the spatial and temporal variations in soil salinity within an area, promptly and accurately, are essential. The aim of this paper is to provide a comprehensive and up-to-date review of the modeling approaches for the assessment and mapping of saline soils using data collected by the EM38 and EM38MK2 (MK2) sensors at different scales. By examining the current and latest approaches and highlighting the most noteworthy considerations related to their accuracy and reliability, the intention of this review is to elucidate and underline the role of the EM38 and the MK2 type in the recent needs of detecting and interpreting soil salinity. Another aim is to assist researchers and users in selecting the optimal approach for future surveys and making well-informed decisions for the implementation of precise management practices. The study’s findings revealed that the integration of the EM38 and MK2 sensors with remote sensing data and advanced methods like machine learning and inversion is a promising approach to the accurate prediction and mapping of the spatiotemporal variations in soil salinity. Therefore, future research focused on validating and expanding such sophisticated modeling applications to regional and global scales should be increased.

show abstract

“…Although EM38 and electromagnetic conductivity meter (CMD mini-explorer) devices are commonly employed for soil salinity mapping across various global locations [23][24][25][26], the use of the CMD2 device has been comparatively limited. Utili [27] employed the CMD2 device to establish a calibration relationship between water content and EC a to monitor water content in earthen embankments along the river Irvine in Galston, UK.…”

Section: Introductionmentioning

confidence: 99%

Time-Lapse Electromagnetic Conductivity Imaging for Soil Salinity Monitoring in Salt-Affected Agricultural Regions

Eltarabily,

Amer,

Farzamian

et al. 2024

Land

Self Cite

View full text Add to dashboard Cite

In this study, the temporal variation in soil salinity dynamics was monitored and analyzed using electromagnetic induction (EMI) in an agricultural area in Port Said, Egypt, which is at risk of soil salinization. To assess soil salinity, repeated soil apparent electrical conductivity (ECa) measurements were taken using an electromagnetic conductivity meter (CMD2) and inverted (using a time-lapse inversion algorithm) to generate electromagnetic conductivity images (EMCIs), representing soil electrical conductivity (σ) distribution. This process involved converting EMCI data into salinity cross-sections using a site-specific calibration equation that correlates σ with the electrical conductivity of saturated soil paste extract (ECe) for the collected soil samples. The study was performed from August 2021 to April 2023, involving six surveys during two agriculture seasons. The results demonstrated accurate prediction ability of soil salinity with an R2 value of 0.81. The soil salinity cross-sections generated on different dates observed changes in the soil salinity distribution. These changes can be attributed to shifts in irrigation water salinity resulting from canal lining, winter rainfall events, and variations in groundwater salinity. This approach is effective for evaluating agricultural management strategies in irrigated areas where it is necessary to continuously track soil salinity to avoid soil fertility degradation and a decrease in agricultural production and farmers’ income.

show abstract

Soil salinity assessment using electromagnetic induction method in a semi-arid environment — a case study in Tunisia

Cited by 6 publications

References 23 publications

Comparative Analysis of Soil Salinity under Flat and Ridge Cultivation Methods in Citrus Orchards

Comparative Analysis of Soil Salinity under Flat and Ridge Cultivation Methods in Citrus Orchards

Assessment and Mapping of Soil Salinity Using the EM38 and EM38MK2 Sensors: A Focus on the Modeling Approaches

Time-Lapse Electromagnetic Conductivity Imaging for Soil Salinity Monitoring in Salt-Affected Agricultural Regions

Contact Info

Product

Resources

About