Sap Flow Measurement as an Instrument for Evaluating Transpiration in Water Balance Studies of a River Basin

IF 0.9 4区 环境科学与生态学 Q4 WATER RESOURCES Water Resources Pub Date : 2023-12-01 DOI:10.1134/s0097807823700215
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Abstract

The article presents the results of instrumental measurements of stem sap flow with the use of sap-flowmeters in the trunks of white fir (Abies nephrolepis), the analysis of the main factors of the process of moisture transport in tree trunks, and the results of modeling hourly series of xylem flow rates. The analysis of factors was made with the use of the method of principal components, and the reproduction of individual series of xylem consumption was based on a multiple linear regression model. The evaluated volume of the transported moisture flux in fir trees over the vegetation period in 2020 varied from 1720 to 5620 L, depending on tree diameter, and the mean daily velocity of stem sap flow in the xylem varied from 0.3 to 1.0 cm/h. Regression analysis was used to find the optimal structure of the empirical model, which includes two predictors—air temperature and humidity. The empirical coefficients of regression equations were determined for each tree based on calibration samples. The results of testing on long enough test samples showed that the model series of xylem discharge on a complete sample (from May to October) for three test trees out of four are close to the measured values: the coefficient of correlation is 0.79–0.88, Nash–Sutcliffe coefficient is 0.62–0.85. The simulation efficiency improves significantly when samples for individual months are used: the correlation coefficient is 0.87‒0.94, the Nash–Sutcliffe coefficient is 0.73‒0.97.

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将树液流量测量作为流域水量平衡研究中评估蒸腾作用的工具
摘要 文章介绍了使用树液流量计对白冷杉树干中的茎液流量进行仪器测量的结果、树干中水分传输过程的主要因素分析以及木质部流速小时序列建模的结果。因素分析采用主成分法,木质部消耗量单个序列的再现基于多元线性回归模型。在 2020 年的植被期,杉树的水分通量从 1720 升到 5620 升不等(取决于树的直径),木质部茎液流动的平均日速度从 0.3 厘米/小时到 1.0 厘米/小时不等。通过回归分析找到了经验模型的最佳结构,该模型包括两个预测因子--气温和湿度。根据校准样本为每棵树确定了回归方程的经验系数。对足够长的测试样本进行测试的结果表明,四棵测试树中有三棵树的完整样本(从 5 月到 10 月)木质部排水量模型序列与测量值接近:相关系数为 0.79-0.88,Nash-Sutcliffe 系数为 0.62-0.85。使用单个月份的样本时,模拟效率明显提高:相关系数为 0.87-0.94,纳什-苏克里夫系数为 0.73-0.97。
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来源期刊
Water Resources
Water Resources 环境科学-水资源
CiteScore
1.60
自引率
20.00%
发文量
86
审稿时长
6-12 weeks
期刊介绍: Water Resources is a journal that publishes articles on the assessment of water resources, integrated water resource use, water quality, and environmental protection. The journal covers many areas of research, including prediction of variations in continental water resources and regime; hydrophysical, hydrodynamic, hydrochemical and hydrobiological processes, environmental aspects of water quality and protection; economic, social, and legal aspects of water-resource development; and experimental methods of studies.
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