14
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Quantitative evaluation of soil ion content using an imaginary part model of soil dielectric constant

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          ABSTRACT: An imaginary part model of soil dielectric constant for predicting the soil salinity status was developed based on a series of relations between dielectric imaginary part and soil bulk conductivity, soil bulk conductivity and soil solution electrical conductivity, and soil solution electrical conductivity and ion contents in soil using pot trials with different soil salinity levels in the 2008 growing season. This model was calibrated and tested with data from the 2009 growing season. The results showed that the inverted values of the total concentration of salt (Sc), Cl−, and Ca2+ at low frequencies (P-band of microwave observations) from the imaginary part model fitted well with the observed values, since root mean square errors (RMSEs) were 0.34 g kg−1, 0.09 g kg−1 and 0.13 g kg−1, respectively, but the inversion effect of Na+ was relatively poor. Moreover, the Sc, Cl−, and Na+ could be well inverted at high frequencies (C-band of microwave observations), since RMSEs were minor, with values of 0.25 g kg−1, 0.02 g kg−1, and 0.15 g kg−1, respectively. The close fit between the observed and inverted values indicated that the present models could be used to estimate soil ion content quickly and reliably under different saline conditions, which, when suitable measures are taken, can be used to reduce the effects of soil salinity on crop growth.

          Related collections

          Most cited references25

          • Record: found
          • Abstract: not found
          • Article: not found

          Diagnosis and Improvement of Saline and Alkali Soils

          L Richards (1954)
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            An Empirical Model for the Complex Dielectric Permittivity of Soils as a Function of Water Content

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Remote sensing of soil salinity: potentials and constraints

                Bookmark

                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                sa
                Scientia Agricola
                Sci. agric. (Piracicaba, Braz.)
                São Paulo - Escola Superior de Agricultura "Luiz de Queiroz" (Piracicaba, SP, Brazil )
                1678-992X
                July 2019
                : 76
                : 4
                : 299-304
                Affiliations
                [1] Nanjing Jiangsu orgnameNanjing Agricultural University orgdiv1College of Agriculture China
                [2] Guangzhou orgnameSouth China Agricultural University orgdiv1College of Agriculture orgdiv2Dept. of Crop Science China
                Article
                S0103-90162019001400299
                10.1590/1678-992x-2017-0431
                9d282a2e-a8ca-4446-8546-afe3cf34dac2

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 23 December 2017
                : 11 March 2018
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 27, Pages: 6
                Product

                SciELO Brazil

                Categories
                Biometry, Modeling and Statistics

                soil salinity,microwave sensing,prediction
                soil salinity, microwave sensing, prediction

                Comments

                Comment on this article