喀斯特峰丛洼地小流域不同景观位置土壤饱和导水率特征及其影响因素
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1.桂林理工大学广西环境污染控制理论与技术重点实验室;2.中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室

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国家重点研发计划项目(2022YFF1300700),国家自然科学基金项目(41977014),广西自然科学基金项目(2023GXNSFAA026400)


Characteristics of Soil Saturated Hydraulic Conductivity and Its Influencing Factors at Different Landscape Positions in a Small Peak-Cluster Depression Watershed of Karst Region
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1.Key Laboratory for Theory and Technology of Environmental Pollution Control in Guangxi,Guilin University of Technology;2.Key Laboratory of Agro-ecological Processes in Subtropical Region,Institute of Subtropical Agriculture,Chinese Academy of Sciences

Fund Project:

National Key Research and Development Program of China (2022YFF1300700),National Natural Science Foundation of China (41977014), and Guangxi Natural Science Foundation (2023GXNSFAA026400)

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    摘要:

    [目的]峰丛洼地是重要的喀斯特地貌类型之一,探明不同景观位置对Ks的影响规律可为深入理解该区水文过程提供参考。[方法] 通过测定2种景观位置不同土层的Ks和土壤理化性质,采用方差分析、回归分析和通径分析等方法研究不同景观位置Ks的分布特征及其影响因素。[结果]景观位置和土层对Ks分布有显著的影响(p<0.05),景观位置的影响主要体现在0—10 和20—30 cm土层,土层的影响主要发生在坡地,而土地利用的影响不显著(p>0.05)。景观位置对土壤颗粒组成和全磷影响不明显(p>0.05),而有机碳、全氮和容重随景观位置不同发生明显变化(p<0.05)。坡地Ks与粉粒、砂粒、有机碳和全磷显著正相关(p<0.05),与黏粒和容重显著负相关(p<0.05);洼地Ks与容重存在显著正相关(p<0.05)。通径分析表明容重和有机碳是影响坡地和洼地Ks的主要因素。利用多元逐步回归建立了坡地和洼地Ks的回归方程,其影响因素的方差解释率分别为76.2%和32.6%。[结论]研究结果表明地貌特征分异对土壤水文参数分布有重要影响,可为喀斯特峰丛洼地小流域水土过程研究提供科学依据。

    Abstract:

    [Objective] Peak-cluster depression is one of the important karst landform types. Exploring the influence of different landscape positions on soil saturated hydraulic conductivity (Ks) can provide a reference for further understanding of the hydrological processes in this area. [Methods] Ks and the corresponding soil physical and chemical properties of different soil depths in slope and depression were measured. By measuring Ks and soil physical and chemical properties of different soil depths in slope and depression, the distribution characteristics of Ks and the corresponding influencing factors were studied according to variance analysis, regression analysis and path analysis. [Results] Landscape position and soil depth had significant influence on Ks distribution (p<0.05). The influence of landscape position was mainly identified at 0—10 and 20—30 cm soil depths, and the influence of soil depth was primarily occurred in the slope. The effect of land use on Ks was not significant (p>0.05). The influence of landscape position on soil particle composition and total phosphorus was not obvious (p>0.05), but organic carbon, total nitrogen and bulk density changed significantly with landscape position (p<0.05). Ks of slope location was significantly positively correlated with silt, sand, organic carbon and total phosphorus (p<0.05), and significantly negatively correlated with clay and bulk density (p<0.05). There was a significant positive correlation between Ks of depression location and bulk density (p<0.05). Path analysis indicated that bulk density and organic carbon were the primary factors affecting Ks in both slope and depression. The regression equations of Ks in slope and depression were established based on multiple stepwise regression, and the variance explanation rates of influencing factors were 76.2% and 32.6%, respectively. [Conclusion] The results showed that the difference in geomorphic features had a major impact on the distribution of soil hydrological parameters. It can provide a scientific basis for the study of soil and water processes in small peak-cluster depression watershed of karst region.

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  • 收稿日期:2024-07-17
  • 最后修改日期:2024-09-20
  • 录用日期:2024-09-23
  • 在线发布日期: 2025-01-09
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