土壤温湿度模型构建及其在北京东灵山森林土壤的应用

陆思宜; 李玉梅

doi:10.7523/j.ucas. 2025.052

中国科学院大学学报 >

0 2025110503 - 2025110503

DOI: https://doi.org/10.7523/j.ucas. 2025.052

土壤温湿度模型构建及其在北京东灵山森林土壤的应用

陆思宜 ,
李玉梅

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中国科学院大学地球与行星科学学院,地球系统数值模拟与应用全国重点实验室,北京 100049; 中国科学院大学测试中心分子化石实验室,北京 101400

收稿日期: 2025-08-05

修回日期: 2025-11-03

网络出版日期: 2025-11-05

基金资助

^*国家自然科学基金项目（42077412，41430531，41272207），中央高校基本科研业务费专项项目（E3E40404X2）资助

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Construction of the soil temperature and moisture models and their application to forest soils in Dongling Mountain, Beijing

LU Siyi ,
LI Yumei

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State Key Laboratory of Earth System Numerical Modeling and Application, Chinese Academy of Sciences, Beijing 100049, China; Laboratory of Molecular Fossils of Testing Centers, University of Chinese Academy of Sciences, Beijing 101400, China

Received date: 2025-08-05

Revised date: 2025-11-03

Online published: 2025-11-05

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摘要

土壤温湿度影响着土壤生物的生长发育,是调控生态过程的重要环境因素。了解土壤温湿度及其变化规律,是开展农林、气候、环境等工作的基础之一。长期监测各地土壤温湿度较为困难,通过模型模拟则更具有可行性。既有模型受限于局地与网格化数据的系统性差异以及复杂的调参机制,在大尺度下准确模拟土壤温湿度尚有待完善。为此,本研究创建了地形高程校正（topographic elevation correction,TEC）土壤温度模型,通过校正再分析气温资料,模拟10cm深度土壤日均温;创建了高斯稳态收敛（Gauss convergence with steady state,GCSS）土壤湿度模型,以大气降水为驱动因子,依据水文特征设定稳态收敛边界条件,并进行了南北双模式检验。在东灵山生长季节土壤湿度模拟中,捕捉到了湿润锋的向下迁移且模拟精度良好,决定系数R²=0.74。本研究还模拟了气候发生大幅度变化时东灵山土壤剖面的温湿度,供重建古环境和预测未来农林业发展参考。

关键词： 土壤温度模型; 土壤湿度模型; 东灵山; 古环境; 物理机制建模

本文引用格式

陆思宜 , 李玉梅 . 土壤温湿度模型构建及其在北京东灵山森林土壤的应用[J]. 中国科学院大学学报, 0 : 2025110503 -2025110503 . DOI: 10.7523/j.ucas. 2025.052

Abstract

Soil temperature and humidity influence soil biology growth and development, making them important environmental factors in regulating ecological processes. Understanding soil temperature and humidity and their patterns of change is one of the foundations for conducting agricultural, forestry, climate, and environmental work. Long-term monitoring of soil temperature and humidity in various regions is challenging, but modeling simulations offer a more feasible approach. Existing models are limited by systematic differences between local and grid-based data, as well as complex parameter tuning mechanisms, and their ability to accurately simulate soil temperature and humidity at large scales remains imperfect. To address this, this study developed the topographic elevation correction(TEC) soil temperature model, which corrects reanalyzed air temperature data to simulate the daily average temperature at a 10 cm depth; and the Gauss convergence with steady state(GCSS) soil moisture model, which uses atmospheric precipitation as the driving factor, sets steady-state convergence boundary conditions based on hydrological characteristics, and undergoes north-south dual-mode testing. In the simulation of soil moisture during the growing season in Dongling Mountain, the downward migration of the moist front was captured, and the simulation accuracy was good, coefficient of determination R²=0.74. This study also simulated temperature and humidity conditions in soil profiles of Dongling Mountain during periods of significant climate change, providing a reference for reconstructing paleoenvironments and predicting future agricultural and forestry development.

Key words： soil temperature model; soil moisture model; Dongling Mountain; paleoenvironment; physical mechanism modeling

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