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2013 | OriginalPaper | Chapter

10. Mapping the Risk of Soil Salinization Using Electromagnetic Induction and Non-parametric Geostatistics

Authors : Houria Dakak, Aicha Benmohammadi, Brahim Soudi, Ahmed Douaik, Mohamed Badraoui, Abdelmjid Zouahri

Published in: Developments in Soil Salinity Assessment and Reclamation

Publisher: Springer Netherlands

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Abstract

The knowledge about the magnitude, the spatial extent, the distribution and the evolution of salinity over a period of time is essential for the better management of salt-affected soils. Soil salinity is determined, conventionally, by measuring the electrical conductivity of a saturated past extract (ECe). However, given the spatio-temporal variability of salinity, numerous samples are necessary, which makes the conventional procedure laborious and expensive. As an alternative, the apparent electrical conductivity of soil (ECa) can be measured in the field by the use of the electromagnetic induction (EMI) method. This method is fast and allows making extensive ECa determination in space and monitoring. In the present study, an area of 2,060 ha has been investigated in the irrigation district of Tadla, central Morocco. Twelve soil samples were collected for ECe measurement, while 92 ECa measurements were realized with EM38. The pairs of ECe-ECa values allowed establishing the calibration equation permitting to convert the ECa into ECe values and for other ECa values for which ECe was not accomplished. The geostatistics was used to develop maps for the risk of soil salinization. Initially, a threshold for the risk of soil salinization was determined, and indicators were built. Later, the spatial variability of these indicators was described and modelled using the variogram. Finally, the maps were generated based on a non-parametric method of geostatistical interpolation, that is, indicator kriging. The results showed that the study area presents various degrees of soil salinization risks. The south-eastern part and small areas in central west and east of the study area have a low risk of salinization. In contrast, the south-western, the north-western and the central parts have a high risk of salinization. All the remaining parts of the study area have a moderate risk of salinization. It is concluded that the combined use of ECe and ECa-EM38 values and geostatistics allowed establishing a reliable soil salinization risk map and help to develop rehabilitation plan for the salt-affected soils.

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Metadata
Title
Mapping the Risk of Soil Salinization Using Electromagnetic Induction and Non-parametric Geostatistics
Authors
Houria Dakak
Aicha Benmohammadi
Brahim Soudi
Ahmed Douaik
Mohamed Badraoui
Abdelmjid Zouahri
Copyright Year
2013
Publisher
Springer Netherlands
DOI
https://doi.org/10.1007/978-94-007-5684-7_10