| Citation: | CHEN Wenling，PENG Shiya，LIU Yanfeng，et al. Spatial variability of soil salinity profiles in cotton fields under mulched drip irrigation[J]. Bulletin of Geological Science and Technology，2026，45（6）：1-12 doi: 10.19509j.cnki.dzkq.tb202602018
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Soil salinization is an important factor affecting agricultural production in arid regions. Soil salinity has strong spatial variability. Xinjiang, located in the northwest of China, lies in an arid to semi-arid region where mulched drip irrigation technology is widely adopted to save irrigation water. However, soil salinization in Xinjiang remains severe, and soil salinity exhibits strong spatial variability. Therefore, investigating the spatial variability characteristics of soil salinity under mulched drip irrigation is of great scientific significance for efficient water conservation and salinity control in the arid regions.
To study the spatial variability of soil salinity in cotton fields under mulched drip irrigation, cotton fields at the experimental fields are located at paotai soil improvement experimental station of the 8th division, xinjiang production and construction corps (abbreviated as "paotai experimental station") and irrigation experimental station of water conservancy research institute, bayingolin administration bureau of tarim river basin, xinjiang (abbreviated as "bazhou experimental station") were selected for study. Soil salinity profiles were monitored in detail, and a combination of traditional statistical and geostatistical methods was used to analyze the spatial variability and distribution characteristics of soil salinity profiles in the study area based on the soil water flow system in cotton fields under mulched drip irrigation.
The results indicated that the coefficient of variation of soil electrical conductivity in the three profiles ranged from 0.54 to 0.67. The variability of topsoil electrical conductivity was largest, and the degree of spatial variability at depths of 10 to 45 cm decreased with increasing depth. Soil electrical conductivity had a strong spatial correlation in the three profiles. Spatial variability was mainly attributable to structural factors, and random factors accounted for 3.53%, 5.03%, and 6.61%, respectively. Soil electrical conductivity characteristics across the profiles exhibited low conductivity in shallow layers, locally high conductivity in intermediate zones, and high conductivity in deep layers. Horizontally, conductivity was lower near drip lines, while values between plastic mulch strips and in wide rows were higher, which correlated with factors such as soil water flow systems and particle composition. Overall, the soil salinity of the cotton field at the Paotai experimental station was higher than that at the Bazhou experimental station. The soil electrical conductivity was higher than 7.7 mS/cm, which had a negative effect on cotton growth.
The findings can provide a scientific basis for implementing efficient water conservation and salinity control measures and precision agriculture in arid regions.
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