Biology and Pedology

Evaluation of soil salinization susceptibility based on Logistic regression analysis: A case of Tarim irrigation area in southern Xinjiang

  • Lei JIANG ,
  • Xiaolong LIU ,
  • Shuai GUO ,
  • Liang HE ,
  • Jianlei XING ,
  • Junjie GUO
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  • 1. Urumqi Center of Natural Resources Comprehensive Survey, China Geological Survey, Urumqi 830057, Xinjiang, China
    2. School of Environmental Studies, China University of Geosciences, Wuhan 430078, Hubei, China

Received date: 2023-02-21

  Revised date: 2023-03-14

  Online published: 2023-12-05

Abstract

The southern region of Xinjiang has great potential for land resource utilization and is a crucial reserve supplying cultivated land resources in China. Evaluating soil salinization susceptibility in this area is necessary, as it aids in making informed decisions regarding water and land selection and land zoning management in southern Xinjiang. Sources, including total dissolved solids (TDS) in groundwater, groundwater depth, soil texture, geomorphic type, land-use type, and soil salt content, were collected via field surveys. By employing data-driven evidence weight, the spatial correlations of a single factor contributing to soil salinization were analyzed, followed by a multifactor comprehensive quantitative evaluation of soil salinization using a Logistic regression model. The results showed the following: (1) Shallow groundwater depth, high groundwater TDS, fine-grained soil, alluvial (lacustrine) plain geomorphology, and grassland land-use types showed strong positive spatial correlation with high soil salt content. (2) High soil salinization-prone areas were identified, encompassing the ancient channel in the alluvial plain and ancient lake marsh in the lacustrine plain, covering ~29 km2 and accounting for 1.3% of the total area. Additionally, abandoned farmland around the irrigated area was a prone area of soil salinization, covering ~453 km2, accounting for 20.5% of the total area. In contrast, the vast desert and water areas around the irrigated area exhibited a low salinization-prone area of ~1726 km2, accounting for 78.2% of the total irrigated area. (3) The comprehensive evaluation using the Logistic regression model was validated with field investigation, affirming its accuracy and reliability. This comprehensive quantitative assessment of soil salinization susceptibility provides a scientific basis for soil salinization prevention and control measures and for making informed decisions regarding the selection of reserved cultivated land resources in southern Xinjiang.

Cite this article

Lei JIANG , Xiaolong LIU , Shuai GUO , Liang HE , Jianlei XING , Junjie GUO . Evaluation of soil salinization susceptibility based on Logistic regression analysis: A case of Tarim irrigation area in southern Xinjiang[J]. Arid Land Geography, 2023 , 46(11) : 1858 -1867 . DOI: 10.12118/j.issn.1000-6060.2023.073

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