| 引用本文: | 经思思,陈皓锐,吴立鹏,等.库布齐沙漠表层土壤含盐量时空演变及其驱动因素分析[J].灌溉排水学报,2025,44(10):103-110. |
| JING Sisi,CHEN Haorui,WU Lipeng,et al.库布齐沙漠表层土壤含盐量时空演变及其驱动因素分析[J].灌溉排水学报,2025,44(10):103-110. |
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| 摘要: |
| 【目的】明确库布齐沙漠湿地表层土壤含盐量（SSC）的时空演变规律及其气象驱动因素。【方法】基于ReliefF特征选择和机器学习算法构建表层SSC反演模型，绘制2000—2024年库布齐沙漠北缘表层SSC反演图，采用趋势分析、相关性分析及地理探测器模型，分析库布齐沙漠北缘表层SSC的时空变化特征及其与气象因素之间的关系。【结果】PSO-SVM算法的性能优于PLSR和RF算法（R2=0.63，RMSE=0.009，MAE=0.007）；基于最佳模型绘制的表层SSC反演图表明，2000—2024年库布齐沙漠北缘的年平均SSC呈波动上升趋势；研究区表层SSC的空间分布异质性显著，较高值主要集中于研究区西南部并延伸至北部，其在像元尺度上与气温和降水量的相关性最强，与真实水汽压和混合比的相关性最弱；气温、降水量、水汽压亏缺和风速是影响库布齐沙漠北缘表层SSC时空分布格局的重要驱动因素。【结论】库布齐沙漠表层SSC存在明显的时空分异特征，气温和降水量对表层SSC的时空分布格局具有重要影响。 |
| 关键词: 土壤含盐量；遥感反演；时空演变；气象驱动因素；库布齐沙漠 |
| DOI：10.13522/j.cnki.ggps.2025133 |
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| Spatiotemporal variation in topsoil salt content and its key determinants in the Kubuqi Desert |
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JING Sisi, CHEN Haorui, WU Lipeng, CHEN Junying, YE Sumeng,
QIAN Long, WU Yuxiao, MIAO Ping, MA Hongli
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1. College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China;
2. State Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research,
Beijing 100048, China; 3. Ordos River and Lake Protection Center, Ordos 017200, China;
4. Field Scientific Observation and Research Station for Agricultural Irrigation in Ningxia Yellow River
Diversion Irrigation Area, Ministry of Water Resourcesr, Yinchuan 750021, China
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| Abstract: |
| 【Objective】The Kubuqi Desert in Inner Mongolia is an ecologically fragile region; understanding the spatiotemporal variation of topsoil salt content (SSC) and its controlling factors is crucial for sustainable land management in the region. This paper develops a method to map SSC variation over time and identify the key meteorological drivers influencing SSC distribution. 【Method】 Based on measured soil data, an SSC inversion model was developed using ReliefF feature selection and machine learning algorithms. The model was then applied to generate surface SSC maps for the northern margin of the Kubuqi Desert from 2000 to 2024. Trend analysis, correlation analysis, and geographic detector methods were used to examine the spatiotemporal variation in SSC and its relationships with meteorological variables. 【Result】 ① The PSO-SVM algorithm outperformed PLSR and RF in inversely calculating SSC, with R2 = 0.63, RMSE = 0.009 and MAE = 0.007. ② From 2000 to 2004, the annual SSC at the northern edge of the desert showed a fluctuating but increasing trend. ③ Spatially, the SSC was significantly heterogeneous, with its value increasing from the southwest to the north. At the pixel scale, SSC was strongly correlated with temperature and precipitation, but weakly with vapor pressure and mixing ratio. ④ Temperature, precipitation, vapor pressure deficit, and wind speed had high explanatory power for the SSC changes, representing the primary meteorological drivers of spatiotemporal variation of SSC. 【Conclusion】SSC in the northern margin of the Kubuqi Desert shows pronounced spatiotemporal variation. Temperature and precipitation are the dominant factors shaping this variation. These results can help improve management of salt-affected soil in the desert. |
| Key words: soil salt content; remote sensing inversion; space-time evolution; meteorological driving factors; Kubuqi Desert |
