Spatial-temporal Patterns and Factors of Soil Moisture in the Middle Reaches of the Yellow River under Changing Environments

LIU Bo; HAN Qinggong; ZHANG Jielin; PENG Shouzhang

doi:10.13870/j.cnki.stbcxb.2025.01.023

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Spatial-temporal Patterns and Factors of Soil Moisture in the Middle Reaches of the Yellow River under Changing Environments

更新时间：2025-03-14

- Spatial-temporal Patterns and Factors of Soil Moisture in the Middle Reaches of the Yellow River under Changing Environments
- Vol. 39, Issue 1, Pages: 73-83(2025)
- 作者机构：
  
  1. 西北农林科技大学资源环境学院, 陕西杨凌,712100
  2. 西北农林科技大学水土保持科学与工程学院, 黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌,712100
  3. 中国科学院水利部水土保持研究所, 陕西杨凌,712100
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2025.01.023
  CLC： S152.7
- Published：2025
- 稿件说明：
移动端阅览
LIU Bo, HAN Qinggong, ZHANG Jielin, et al. Spatial-temporal Patterns and Factors of Soil Moisture in the Middle Reaches of the Yellow River under Changing Environments[J]. 2025, 39(1): 73-83.
DOI：

LIU Bo, HAN Qinggong, ZHANG Jielin, et al. Spatial-temporal Patterns and Factors of Soil Moisture in the Middle Reaches of the Yellow River under Changing Environments[J]. 2025, 39(1): 73-83. DOI： 10.13870/j.cnki.stbcxb.2025.01.023.

摘要

目的为识别黄河中游土壤湿度的主要驱动因子，分析土地覆盖和气候变化对黄河中游土壤湿度变化的影响，为区域生态环境保护和高质量发展提供理论依据。方法使用SiB2模型模拟黄河中游2000年、2005年、2010年、2015年和2020年的表层土壤湿度(SSM)与根区土壤湿度(RZSM)，分析其时空分布格局；结合地理探测器、随机森林、SHAP分析其主要驱动因子；使用情景设置法分析土地覆盖与气候变化对SSM和RZSM变化的贡献。结果1)参数校准后的SiB2模型可较好地模拟黄河中游的土壤湿度。2)黄河中游土壤湿度整体呈南高北低的空间分布特征，SSM和RZSM在不同生态分区、不同季节和不同土地覆盖类型下分布特征存在差异。3)降水、土壤类型和向下短波辐射是黄河中游SSM的主要驱动因子，降水、土壤类型和土地覆盖类型是黄河中游RZSM的主要驱动因子，不同生态分区土壤湿度的驱动因子存在差异。4)黄河中游土地覆盖类型的转换对RZSM的影响具有区域差异性，叶面积指数(LAI)升高导致RZSM降低是主要的变化方向。5)相较于2000年，2020年SSM和RZSM的下降分别由气候变化的差异和土地覆盖变化的差异所主导。结论2000—2020年黄河中游地区土地覆盖变化导致根区土壤水分下降，降水量对土地覆盖类型转换后土壤湿度的变化有重要影响。

Abstract

ObjectiveTo identify the main driving factors of soil moisture in the middle reaches of the Yellow River

to analyze the impact of land cover and climate change on soil moisture changes in the middle reaches of the Yellow River

and to provide a theoretical basis for regional ecological environmental protection and high-quality development.MethodsThe SiB2 model was used to simulate the surface soil moisture (SSM) and root zone soil moisture (RZSM) in the middle reaches of the Yellow River for the years 2000

2005

2010

2015 and 2020

and to analyze their spatial and temporal distribution patterns. The main driving factors were analyzed by combining the GeoDetector

Random Forest

and SHAP

and the contribution of land cover and climate change to the changes of SSM and RZSM was analyzed by using scenario-setting method.Results1) The SiB2 model could better simulate the soil moisture in the middle reaches of the Yellow River after the parameter calibration. 2) Soil moisture in the middle reaches of the Yellow River showed overall spatial distribution characteristics of high in the south and low in the north

and there were differences in the distribution characteristics of SSM and RZSM under different ecological zones

different seasons and different land cover types. 3) Precipitation

soil type and downward shortwave radiation were the main drivers of SSM in the middle reaches of the Yellow River

and precipitation

soil type and land cover type were the main drivers of RZSM in the middle reaches of the Yellow River

and there were differences in the drivers of soil moisture in different ecological zones. 4) The effect of land cover type conversion on RZSM in the middle reaches of the Yellow River was regionally different

and the main direction of change was the decrease of RZSM due to the increase of leaf area index(LAI). 5) Compared to 2000

the decline in SSM and RZSM in 2020 was dominated by differences in climate change and land cover change

respectively.ConclusionLand cover changes in the middle reaches of the Yellow River from 2000 to 2020 led to a decline in soil moisture in the root zone

and precipitation magnitude had an important effect on changes in soil moisture after land cover type conversion.

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