IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v97y2010i12p1961-1970.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(10)00060-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Williams, Timothy Olalekan & Faures, J.-M. & Namara, R. & Snyder, K., 2020. "Large-scale irrigated farming system: the potential and challenges to improve food security, livelihoods and ecosystem management," IWMI Books, Reports H049740, International Water Management Institute.
    2. Thiam, Sophie & Villamor, Grace B. & Kyei-Baffour, Nicholas & Matty, François, 2019. "Soil salinity assessment and coping strategies in the coastal agricultural landscape in Djilor district, Senegal," Land Use Policy, Elsevier, vol. 88(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:97:y:2010:i:12:p:1961-1970. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.