不同模型模拟东北黑土冻结特征曲线的适用性评价
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S152.7

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国家重点研发计划项目(2023YFD1500303)和国家自然科学基金项目(42277295)资助。


Evaluation of Different Freezing Characteristic Curve Models with Black Soils of Northeast China
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    摘要:

    我国东北黑土区频繁经历强烈的冻融循环,给水土保持和农业生产等带来很大影响。反映冻土液态水含量随负温变化的冻结特征曲线(SFCC)对于预测土壤冻融期间水、热、盐运移具有重要作用。本文室内测定了3种东北土壤不同初始含水量下的SFCC,并原位监测了一个典型东北黑土剖面冻融期间的SFCC动态。利用实测数据评价了已有SFCC模型的准确性,提出了一个新的适用于东北黑土SFCC的传递函数模型。结果表明:SFCC受土壤类型、质地、比表面积、初始含水量和容重等显著影响,稳定冻结后黏质土壤中仍存在较高比例的液态水。综合考虑土壤初始含水量和剩余含水量的非线性拟合经验模型可以准确模拟东北黑土的SFCC,均方根误差(RMSE)在0.018 m3/m3左右,AIC均为负值,但需要实测SFCC来获取模型参数。而基于土壤基础理化性质预测SFCC的传递函数模型准确性较差,RMSE超过0.08 m3/m3,AIC为正值。本文发展了一个综合考虑土壤比表面积、容重及砂粒和黏粒含量的SFCC传递函数模型。新模型提高了SFCC模型在东北黑土上的适用性,4种土壤的SFCC模拟值与实测值间的RMSE为0.025 m3/m3,AIC值平均为 -179。但未来需要更多SFCC实测数据来验证新模型的准确性,为东北黑土区冻融侵蚀和水热迁移研究提供技术和理论支撑。

    Abstract:

    The black soil in Northeast China experiences repeated freezing and thawing cycles, which result in significant effects on soil erosion and agricultural management. Soil freezing characteristics curve (SFCC) represents the change of unfrozen water content with soil temperature during freeze-thaw cycles. SFCC is important for water, heat, and solute transport in frozen soils. This study aimed to evaluate the performance of existing SFCC models for Northeast China soils and develop a new pedotransfer function for modelling SFCC. The SFCC of three typical Northeast soils was measured in the laboratory under different initial water contents, and the dynamic SFCC of a typical black soil profile in Northeast China was monitored in situ. The accuracy of existing SFCC models was evaluated using the measured data, and a new pedotransfer function model suitable for SFCC in Northeast black soils was proposed. The results show that SFCC is significantly influenced by soil type, texture, specific surface area, initial water content, and bulk density. After stable freezing, a relatively high proportion of unfrozen water still exists in clayey soils. The empirical models that consider both initial and residual water contents can accurately simulate the SFCC of Northeast black soils, with root mean square error (RMSE) around 0.018 m3/m3 and negative AIC values. However, such models require measured SFCC data to obtain its parameters. In contrast, pedotransfer function models that predict SFCC based on basic soil physicochemical properties show relatively poor accuracy, with RMSE exceeding 0.08 m3/m3 and positive AIC values. This study developed a new pedotransfer function for SFCC that incorporates soil specific surface area, bulk density, and sand and clay contents. The new model significantly improves the applicability of SFCC model in Northeast black soils. For the four tested soils, the RMSE between modelled and measured SFCC values was 0.025 m3/m3, with an average AIC value of -179. This study enhances the understanding of freezing and thawing processes of black soils, which is valuable for soil erosion and heat and water transport studies of Northeast China.

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王力,田正超,易层,任图生.不同模型模拟东北黑土冻结特征曲线的适用性评价[J].土壤,2026,58(2):503-511. WANG Li, TIAN Zhengchao, YI Ceng, REN Tusheng. Evaluation of Different Freezing Characteristic Curve Models with Black Soils of Northeast China[J]. Soils,2026,58(2):503-511

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  • 收稿日期:2024-12-04
  • 最后修改日期:2025-02-12
  • 录用日期:2025-02-14
  • 在线发布日期: 2026-05-09
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