Mechanistic analysis of soil salinity evolution under long-term mulched drip irrigation in a typical oasis irrigation district of Xinjiang of China
Keywords:
soil salinity, influencing factors, RF, SHAP algorithm, threshold rangesAbstract
Soil salinization poses a significant challenge for sustainable development in oasis irrigation districts. This study focused on mulched drip-irrigated cotton fields in the downstream area of the Manas River Basin. Using machine learning and Shapley Additive Explanations (SHAP) algorithms, the long-term dynamics of soil salinity in the 0-100 cm soil profile and its key driving factors from 2013 to 2021 were analyzed. The results revealed that prolonged drip irrigation led to a notable decline in soil salinity within the 0-100 cm profile. In Field A, average salinity decreased from 5.58 g/kg to 2.39 g/kg, while in Field B, it declined from 11.39 g/kg to 3.88 g/kg. The random forest (RF) model exhibited robust predictive performance, achieving a coefficient of determination (R2) of 0.886 on the test dataset. The importance ranking of the influencing factors was as follows: groundwater depth>irrigation amount>groundwater mineralization>annual evaporation>annual precipitation>soil bulk density. SHAP analysis further revealed that irrigation amounts below 6500 m3/hm2, groundwater depths exceeding 3.3 m, and groundwater mineralization levels below 8.75 g/L were associated with reduced soil salinity accumulation. The threshold ranges for mitigating salinity were identified as a groundwater depth between 3.3 and 3.5 m and an irrigation amount ranging from 6500 to 6800 m3/hm2. These results offer a scientific foundation for developing effective soil salinity control strategies in oasis irrigation systems.
Key words: soil salinity; influencing factors; RF; SHAP algorithm; threshold ranges
DOI: 10.25165/j.ijabe.20261904.9972
Citation: Liu K S, Li W H, Lyu T B, Gao S L, Wu J C, He J Y, et al. Mechanistic analysis of soil salinity evolution under long-term mulched drip irrigation in a typical oasis irrigation district of Xinjiang of China. Int J Agric & Biol Eng, 2026; 19(4): 165–173.
References
Feng L, Wan S, Zhang Y, Dong H. Xinjiang cotton: Achieving super-high yield through efficient utilization of light, heat, water, and fertilizer by three generations of cultivation technology systems. Field Crops Research, 2024; 312: 109401. doi:10.1016/j.fcr.2024.109401
Shen Y, Li S, Chen Y, Qi Y, Zhang S. Estimation of regional irrigation water requirement and water supply risk in the arid region of Northwestern China 1989-2010. Agricultural Water Management, 2013; 128: 55-64. doi:10.1016/j.agwat.2013.06.014
Zhou Y, Li F, Xin Q, Li Y, Lin Z. Historical variability of cotton yield and response to climate and agronomic management in Xinjiang, China. Science of The Total Environment, 2024; 912: 169327. doi:10.1016/j.scitotenv.2023.169327
Geng YH, Cao GJ, Wang LC, Wang M, Huang JX. Can drip irrigation under mulch be replaced with shallow-buried drip irrigation in spring maize production systems in semiarid areas of northern China? Journal of the Science of Food and Agriculture, 2021; 101(5): 1926-34. doi:10.1002/jsfa.10808
Zhang W, Dong A, Liu F, Niu W, Siddique KH. Effect of film mulching on crop yield and water use efficiency in drip irrigation systems: A meta-analysis. Soil and tillage Research, 2022; 221: 105392. doi:10.1016/j.still.2022.105392
Guan Z, Jia Z, Zhao Z, You Q. Dynamics and Distribution of Soil Salinity under Long-Term Mulched Drip Irrigation in an Arid Area of Northwestern China. Water, 2019; 11(6): 1225. doi:10.3390/w11061225
Cheng M, Wang H, Fan J, Wang X, Sun X, Yang L, et al. Crop yield and water productivity under salty water irrigation: A global meta-analysis. Agricultural Water Management, 2021; 256: 107105. doi:10.1016/j.agwat.2021.107105
Tao Y, Xie W, Xu L, Zhang L, Wang G, Wang X, et al. The characteristics of soil salinization effects on nitrogen mineralization and nitrification in upland fields. Frontiers in Environmental Science, 2024; 12: 1369554. doi:10.3389/fenvs.2024.1369554
Feng Z, Wang L, Peng Q, Li J, Liang T. Effect of environmental factors on soil properties under different land use types in a typical basin of the North China Plain. Journal of Cleaner Production, 2022; 344: 131084. doi:10.1016/j.jclepro.2022.131084
Tessema N, Yadeta D, Kebede A, Ayele GT. Soil and Irrigation Water Salinity, and Its Consequences for Agriculture in Ethiopia: A Systematic Review. Agriculture-Basel, 2023; 13(1): 109. doi:10.3390/agriculture13010109
Xie W, Yang J, Yao R, Wang X. Spatial and Temporal Variability of Soil Salinity in the Yangtze River Estuary Using Electromagnetic Induction. Remote Sensing, 2021; 13(10): 1875. doi:10.3390/rs13101875
Lian H, Sun Z, Xu C, Gu F. The Relationship Between the Distribution of Water and Salt Elements in Arid Irrigation Areas and Soil Salination Evolution. Frontiers in Earth Science, 2022; 10: 852485. doi:10.3389/feart.2022.852485
Vermeulen D, Van Niekerk A. Machine learning performance for predicting soil salinity using different combinations of geomorphometric covariates. Geoderma, 2017; 299: 1-12. doi:10.1016/j.geoderma.2017.03.013
Andrade Foronda D, Colinet G. Prediction of soil salinity/sodicity and salt-affected soil classes from soluble salt ions using machine learning algorithms. Soil Systems, 2023; 7(2): 47. doi:10.3390/soilsystems7020047
Wang F, Han L, Liu L, Bai C, Ao J, Hu H, et al. Advancements and Perspective in the Quantitative Assessment of Soil Salinity Utilizing Remote Sensing and Machine Learning Algorithms: A Review. Remote Sensing, 2024; 16(24): 4812. doi:10.3390/rs16244812
Sui H, Chen D, Yan J, Li B, Li W, Cui B. Soil Salinity Estimation Over Coastal Wetlands Based on Random Forest Algorithm and Hydrological Connectivity Metric. Frontiers in Marine Science, 2022; 9: 895172. doi:10.3389/fmars.2022.895172
Speiser JL, Miller ME, Tooze J, Ip E. A comparison of random forest variable selection methods for classification prediction modeling. Expert systems with applications, 2019; 134: 93-101. doi:10.1016/j.eswa.2019.05.028
Valenta RK, Kemp D, Owen JR, Corder GD, Lebre E. Re-thinking complex orebodies: Consequences for the future world supply of copper. Journal of Cleaner Production, 2019; 220: 816-26. doi:10.1016/j.jclepro.2019.02.146
Kyriazos T, Poga M. Dealing with multicollinearity in factor analysis: the problem, detections, and solutions. Open Journal of Statistics, 2023; 13(3): 404-24. doi:10.4236/ojs.2023.133020
Li K, Liu H, He X, Li X. Simulation of water and salt transport in soil under pipe drainage and drip irrigation conditions in Xinjiang. Water, 2019; 11(12): 2456. doi:10.3390/w11122456
Zong R, Wang Z, Li W, Li H, Ayantobo OO. Effects of practicing long-term mulched drip irrigation on soil quality in Northwest China. Science of the Total Environment, 2023; 878: 163247. doi:10.1016/j.scitotenv.2023.163247
Wang H, Li H, Ren Z. Modeling multiphase fluid flow and salt precipitation due to water vaporization in producing wells of underground gas storage. Gondwana Research, 2023; 122: 348-59. doi:10.1016/j.gr.2022.12.010
Nachshon U, Weisbrod N, Dragila MI, Grader A. Combined evaporation and salt precipitation in homogeneous and heterogeneous porous media. Water Resources Research, 2011; 47(3). doi:10.1029/2010WR009677
Guanghui M, Fuqiang T, Hongchang H. Effect of water table depth on soil water and salt dynamics and soil salt accumulation characteristics under mulched drip irrigation. Transactions of the CSAE, 2018; 34(05): 90-7 (in Chinese).doi:10.11975/j.issn.1002-6819.2018.05.012
Abliz A, Tiyip T, Ghulam A, Halik U, Ding J-l, Sawut M, et al. Effects of shallow groundwater table and salinity on soil salt dynamics in the Keriya Oasis, Northwestern China. Environmental Earth Sciences, 2016; 75(3): 1-15. doi:10.1007/s12665-015-4794-8
Zeng Y, Zhao CY, Shi FZ, Schneider M, Lv GH, Li Y. Impact of groundwater depth and soil salinity on riparian plant diversity and distribution in an arid area of China. Scientific Reports, 2020; 10(1): 7272. doi:10.1038/s41598-020-64045-w
Xia J, Zhang S, Zhao X, Liu J, Chen Y. Effects of different groundwater depths on the distribution characteristics of soil-Tamarix water contents and salinity under saline mineralization conditions. Catena, 2016; 142: 166-76. doi:10.1016/j.catena.2016.03.005
Xu C, Tian J, Wang G, Nie J, Zhang H. Dynamic Simulation of Soil Salt Transport in Arid Irrigation Areas under the HYDRUS-2D-Based Rotation Irrigation Mode. Water Resources Management, 2019; 33(10): 3499-512. doi:10.1007/s11269-019-02312-w
Mmolawa K, Or D. Root zone solute dynamics under drip irrigation: A review. Plant and Soil, 2000; 222(1-2): 163-90. doi:10.1023/a:1004756832038
Wang W, Tian H, Yang G, Liu B, Pan Y, Ding G, et al. Dynamic variation of groundwater level and its influencing factors in typical oasis irrigated areas in Northwest China. Open Geosciences, 2023; 15(1): 20220493. doi:10.1515/geo-2022-0493
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 International Journal of Agricultural and Biological Engineering

This work is licensed under a Creative Commons Attribution 4.0 International License.
IJABE is an international peer reviewed, open access journal, adopting Creative Commons Copyright Notices as follows.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).