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Quantitative evaluation of soil salinity and its spatial distribution using electromagnetic induction method

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  • Yao, Rongjiang
  • Yang, Jingsong

Abstract

In the Lower Yellow River Delta, soil salinity is a problem due to the presence of a shallow, saline water table and marine sediments. Spatial information on soil salinity at the field level is increasingly needed, particularly for better soil management and crop allocation in this area. In this paper, a mobile electromagnetic induction (EMI) system including EM38 and EM31 is employed to perform field electromagnetic (EM) survey, and fast determination and quantitative evaluation of the spatial pattern of soil salinity is discussed using the field EM survey data. Optimal operation modes of EM38 and EM31 are determined to establish multiple linear regression models for estimating salinity from apparent soil electrical conductivity (ECa). Spatial trend and semivariogram are illustrated and spatial distribution of field salinity status is further visualized and quantitatified. The results suggest that ECa (EM38 and EM31) data is highly correlated with salinity, and that the interpretation precision of soil salinity at various layers can be improved using EM38h and EM31h (where h represents the horizontal mode of EM measurement). Both EM38h and EM31h exhibit significant geographic trend. Nested spherical models fit the semivariance of EM38h and EM31h better than single spherical models. Spatial autocorrelation of EM31h is stronger than that of EM38h, and short-range variation is the chief constitute of spatial heterogeneity for both EM38h and EM31h. Quantitative classification shows that soil salinity exhibits the trend of accumulation in the root zone. In 0-1.0Â m solum, heavy salinized and saline soils are the predominant soil types, accounting for 54% and 41% of total survey area, respectively. The area of light and moderate salinized soils is comparatively small, which accounts for only 0.4% and 4.6%, respectively.

Suggested Citation

  • Yao, Rongjiang & Yang, Jingsong, 2010. "Quantitative evaluation of soil salinity and its spatial distribution using electromagnetic induction method," Agricultural Water Management, Elsevier, vol. 97(12), pages 1961-1970, November.
    • Handle: RePEc:eee:agiwat:v:97:y:2010:i:12:p:1961-1970
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    References listed on IDEAS

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    1. Barbiero, Laurent & Cunnac, Sebastien & Mane, Landing & Laperrousaz, Caroline & Hammecker, Claude & Maeght, Jean Luc, 2001. "Salt distribution in the Senegal middle valley: Analysis of a saline structure on planned irrigation schemes from N'Galenka creek," Agricultural Water Management, Elsevier, vol. 46(3), pages 201-213, January.
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    Cited by:

    1. Yasin ul Haq & Muhammad Shahbaz & H. M. Shahzad Asif & Ali Al-Laith & Wesam H. Alsabban, 2023. "Spatial Mapping of Soil Salinity Using Machine Learning and Remote Sensing in Kot Addu, Pakistan," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    2. Hamideh Nouri & Sattar Chavoshi Borujeni & Sina Alaghmand & Sharolyn J. Anderson & Paul C. Sutton & Somayeh Parvazian & Simon Beecham, 2018. "Soil Salinity Mapping of Urban Greenery Using Remote Sensing and Proximal Sensing Techniques; The Case of Veale Gardens within the Adelaide Parklands," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    3. Xuemei Jiang & Yuwei Ma & Gang Li & Wei Huang & Hongyan Zhao & Guangming Cao & Aiqin Wang, 2022. "Spatial Distribution Characteristics of Soil Salt Ions in Tumushuke City, Xinjiang," Sustainability, MDPI, vol. 14(24), pages 1-11, December.
    4. Gebremeskel, Gebremedhin & Gebremicael, T.G. & Kifle, Mulubrehan & Meresa, Esayas & Gebremedhin, Teferi & Girmay, Abbadi, 2018. "Salinization pattern and its spatial distribution in the irrigated agriculture of Northern Ethiopia: An integrated approach of quantitative and spatial analysis," Agricultural Water Management, Elsevier, vol. 206(C), pages 147-157.
    5. Jumeniyaz Seydehmet & Guang-Hui Lv & Abdugheni Abliz, 2019. "Landscape Design as a Tool to Reduce Soil Salinization: The Study Case of Keriya Oasis (NW China)," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    6. Mohamed G. Eltarabily & Abdulrahman Amer & Mohammad Farzamian & Fethi Bouksila & Mohamed Elkiki & Tarek Selim, 2024. "Time-Lapse Electromagnetic Conductivity Imaging for Soil Salinity Monitoring in Salt-Affected Agricultural Regions," Land, MDPI, vol. 13(2), pages 1-21, February.

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