ISSN 1000-3665 CN 11-2202/P
    郑金涛,金晓媚,李晴,等. 基于地理探测器的张承地区表层土壤湿度变化的驱动因素分析[J]. 水文地质工程地质,2024,51(0): 1-11. DOI: 10.16030/j.cnki.issn.1000-3665.202309007
    引用本文: 郑金涛,金晓媚,李晴,等. 基于地理探测器的张承地区表层土壤湿度变化的驱动因素分析[J]. 水文地质工程地质,2024,51(0): 1-11. DOI: 10.16030/j.cnki.issn.1000-3665.202309007
    ZHENG Jintao, JIN Xiaomei, LI Qing, et al. Driving factors analysis of surface soil moisture variation in Zhangjiakou-Chengde district based on geodetector[J]. Hydrogeology & Engineering Geology, 2024, 51(0): 1-11. DOI: 10.16030/j.cnki.issn.1000-3665.202309007
    Citation: ZHENG Jintao, JIN Xiaomei, LI Qing, et al. Driving factors analysis of surface soil moisture variation in Zhangjiakou-Chengde district based on geodetector[J]. Hydrogeology & Engineering Geology, 2024, 51(0): 1-11. DOI: 10.16030/j.cnki.issn.1000-3665.202309007

    基于地理探测器的张承地区表层土壤湿度变化的驱动因素分析

    Driving factors analysis of surface soil moisture variation in Zhangjiakou-Chengde district based on geodetector

    • 摘要: 张家口、承德地区(以下简称“张承地区”)作为京津冀的生态屏障、重要的水源保护地和风沙阻隔区,近年来开展了一系列生态治理工程。土壤湿度作为综合反映气候、植被覆盖、土壤性质的重要指标,在大气水—地表水—地下水的循环中至关重要。但张承地区地处半干旱区,其水资源相对匮乏,且现有研究忽视了对于研究区土壤湿度空间变化特征及驱动因素的分析。以中等分辨率成像光谱仪(moderate-resolution imaging spectroradiometer,MODIS)数据、全球陆地数据同化系统(global land data assimilation system,GLDAS)数据集等为基础,基于温度-植被干旱指数(temperature vegetation dryness index,TVDI)模型反演并分析张承地区2001—2021年土壤湿度及时空变化特征,利用地理探测器方法分析8个驱动因子对张承地区土壤湿度时空异质性的解释力。结果表明:(1)2001—2021年张承地区的土壤湿度呈现波动上升趋势,土壤湿度分布为东部高,西部低,张家口低于承德;空间上,研究区83.09%区域的土壤湿度呈现逐年上升的趋势;(2)研究区土壤湿度的驱动因素解释力大小排序为:归一化植被指数(normalized difference vegetation index,NDVI)>土壤类型>年均降水>土地利用类型>坡度>高程>年均气温>坡向,其中NDVI和土壤类型的解释力均高于30%,为主导驱动因素;(3)在交互作用分析中,多因子共同作用的影响大于单因子作用, NDVI与高程的交互影响作用最强。研究结果对于张承地区水资源的高效利用及生态环境保护具有重要的参考作用。

       

      Abstract: As an important water conservation and sand-windy barrier, Zhangjiakou and Chengde (Zhang-Cheng) district is very important for ecological protection in the Beijing-Tianjin-Hebei region. The soil moisture is an important comprehensive indicator for climate, vegetation cover, and soil property, and is essential in the cycle of atmospheric−surface water−underground water. However, few studies focused on the soil moisture change and its impact factors in the Zhang-Cheng district, an area with semi-arid climate and scarce water resources. Based on moderate-resolution imaging spectroradiometer (MODIS) and global land data assimilation system data (GLDAS), the spatiotemporal variation of surface soil moisture in Zhang-Cheng district was simulated during the period of 2001−2021 using temperature vegetation dryness index (TVDI) model. Moreover, the geodetector method was also employed to identify the contribution of 8 impact factors on soil moisture. The results indicate that the soil moisture is generally fluctuating increase during the period of 2001−2021. Spatially, the soil moisture is higher in the east and lower in the west part of the study area and approximately 83.09% of the the study area experienced a progressive increase in soil moisture. In terms of driving factors, normalized difference vegetation index (NDVI), soil type, annual precipitation, land use type, slope, elevation, annual temperature, and aspect were analyzed in descending order of their effect on soil moisture variation. NDVI and soil type are the dominant drivers, with each contribution exceeding 30%. As to interaction analysis, it indicates that the effect of multiple factors is greater than that of individual factor. The synergistic interaction between NDVI and elevation is the largest influence on soil moisture. This study has great significance for efficient utilization of water resources and eco-environmental protection in the Zhang-Cheng district.

       

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