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Study on the Scale Effect of Spatial Variation in Soil Salinity Based on Geostatistics: A Case Study of Yingdaya River Irrigation Area

Author

Listed:
  • Li Lu

    (School of Geology and Mining Engineering, Xinjiang University, Urumqi 830046, China
    Jiangsu Zhongwu Environmental Protection Industry Development Co., Ltd., Changzhou 213000, China)

  • Sheng Li

    (School of Geology and Mining Engineering, Xinjiang University, Urumqi 830046, China
    State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Rong Wu

    (School of Civil Engineering, Wanjiang University of Technology, Ma’anshan 232001, China)

  • Deyou Shen

    (Xinjiang Railway Survey and Design Institute Co., Ltd., Urumqi 830046, China)

Abstract

Soil salinization seriously restricts the development of agricultural economies in arid and semi-arid areas. Mastering the spatial variability characteristics of multi-scale soil salt in irrigated areas is of great significance for the improvement and utilization of saline soil and agricultural production. The middle and lower reaches of the Yingdaya River were selected as the study area, and the irrigation area was divided into three scales: the L scale (irrigation area), the M scale (township level) and the S scale (village level). A total of 131 data sets were obtained through field investigations and sampling, and the spatial variability characteristics and scale effects of the soil salt in multi-scale irrigated areas were analyzed using classical statistics, geostatistics and nested model methods. The results showed that the average soil salinities at the L, M and S scales were 1.664%, 0.263% and 0.217%, respectively, and the coefficients of variation were 2.564, 1.312 and 0.866, respectively. The soil salinities at different scales exhibited moderate spatial correlation and anisotropic characteristics, through which, the maximum variation directions for L and M were 113° and 139°, respectively, and the maximum variation direction of the S scale was 86°. The spatial distribution of the soil salinity is affected by the scale effect, but the accuracy of spatial estimations can be effectively improved by using a multi-scale nested model for interpolation. The high-value areas of soil salt in the irrigation areas were distributed in the southeastern regions of the study area, and weakened in small areas around the high-value areas. The influence of each influencing factor on the soil salinization at different scales also differed. Except for the slope, the correlations between other influencing factors and the soil salt content gradually decreased with decreases in the scale. This study provides a concise summary of the spatial variation analysis of soil characteristic variables, and also provides a scientific basis for the formulation and implementation of salinization control programs.

Suggested Citation

  • Li Lu & Sheng Li & Rong Wu & Deyou Shen, 2022. "Study on the Scale Effect of Spatial Variation in Soil Salinity Based on Geostatistics: A Case Study of Yingdaya River Irrigation Area," Land, MDPI, vol. 11(10), pages 1-19, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1697-:d:930385
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    References listed on IDEAS

    as
    1. Sheng Li & Li Lu & Yuan Gao & Yun Zhang & Deyou Shen, 2022. "An Analysis on the Characteristics and Influence Factors of Soil Salinity in the Wasteland of the Kashgar River Basin," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    2. Abderraouf Benslama & Kamel Khanchoul & Fouzi Benbrahim & Sana Boubehziz & Faredj Chikhi & Jose Navarro-Pedreño, 2020. "Monitoring the Variations of Soil Salinity in a Palm Grove in Southern Algeria," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
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    Cited by:

    1. Dorijan Radočaj & Mladen Jurišić & Irena Rapčan & Fran Domazetović & Rina Milošević & Ivan Plaščak, 2023. "An Independent Validation of SoilGrids Accuracy for Soil Texture Components in Croatia," Land, MDPI, vol. 12(5), pages 1-16, May.

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