边材木质部液流-氧复合传感器设计及应用  

Design and application of edge wood xylem liquid flow oxygen composite sensor

作　　者：周海洋 马和龙 孙卿峰 赵燕东[1,2,3] 林剑辉 郑一力[1,2,3] ZHOU Haiyang;MA Helong;SUN Qingfeng;ZHAO Yandong;LIN Jianhui;ZHENG Yili(School of Technology,Beijing Forestry University,Beijing 100083,China;State Key Laboratory of Efficient Production of Forest Resources,Beijing 100083,China;Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation,Beijing 100083,China)

机构地区：[1]北京林业大学工学院,北京100083 [2]林木资源高效生产全国重点实验室,北京100083 [3]林业装备与自动化国家林业和草原局重点实验室,北京100083

出　　处：《农业工程学报》2025年第5期79-86,共8页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金项目(31901238)。

摘　　要：树木根区土壤氧气含量是影响树木长势的重要环境因子。由于氧气空间分布复杂,直接测量具有较大的局限性。该研究基于荧光猝灭原理和热扩散液流测量原理研制了树干木质部氧含量和液流速率复合参数检测传感器,并对传感器进行了标定、温度校正和性能测试,以水分转移为关键突破线索,探究转移路径上氧含量与根区土壤氧含量关系。标定试验表明,氧气含量低于30%时,检测相对误差低于1.4%,液流速率相对误差低于5%。户外对照试验表明,复合传感器与商业光纤氧传感器、液流速率传感器检测结果相关系数分别为0.947和0.958。复合传感器集成度高、对树木伤害小、稳定性突出的优势为同步监测树干氧含量和液流速率提供了更好地解决方案。结合复合传感器监测数据和微气象参数,应用树木宏观吸水模型和根系土壤氧扩散模型进行深入分析,推导出不同深度根部氧环境含量的分布特征,实现树木根部氧环境含量的有效监测。研究可为树木根部氧环境动态监测提供技术支持,也为优化树木生长环境、提升树木水氧管理提供科学依据。The oxygen content in the soil of tree root zones is a crucial environmental factor influencing the growth of trees.The study aimed to develop a novel sensor system for monitoring oxygen content in tree xylem and sap flow velocity,with the goal of investigating the relationship between oxygen levels in the root zone soil and those in the water transfer pathway.This research sought to address the limitations of direct soil oxygen measurements,which are often hindered by the complex spatial distribution of oxygen.By leveraging the dynamics of water movement within trees,the study provided a technical foundation for optimizing tree growth environments and enhancing water-oxygen management.A composite sensor was developed based on fluorescence quenching and thermal diffusion sap flow measurement principles to simultaneously detect oxygen content in tree xylem and sap flow velocity.Calibration experiments were conducted to ensure accuracy,with temperature correction applied to minimize environmental interference.The sensor's performance was evaluated through outdoor comparative tests against commercial fiber-optic oxygen sensors and sap flow sensors.Data from the sensor were integrated with micrometeorological parameters and analyzed using a tree water uptake model and a root-soil oxygen diffusion model to derive oxygen distribution patterns at different root depths.The calibration results demonstrated the sensor's high precision,with relative errors of less than 1.4%for oxygen content measurements below 30%and less than 5%for sap flow velocity.Outdoor comparative tests further validated the sensor's performance,showing strong correlations with commercial sensors.The correlation coefficients were 0.947 for oxygen content and 0.958 for sap flow velocity,confirming the sensor's reliability and accuracy.The integration of sensor data with micrometeorological parameters,such as temperature and humidity,enabled the derivation of oxygen distribution patterns at various root depths.The analysis revealed that oxygen content d

关 键 词：土壤 氧气 传感器 木质部水运输 

分 类 号：S15[农业科学—土壤学] TP73[农业科学—农业基础科学]