蒸散量
蒸腾作用
环境科学
水文学(农业)
水蒸气
大气科学
采样(信号处理)
涡度相关法
土壤水分
温带气候
蒸发
焊剂(冶金)
土壤科学
生态系统
化学
生态学
光合作用
气象学
地质学
生物
计算机视觉
滤波器(信号处理)
生物化学
有机化学
计算机科学
物理
岩土工程
作者
Zhongmin Hu,Xuefa Wen,Xiaomin Sun,Linghao Li,Guirui Yu,Xuhui Lee,Shenggong Li
摘要
Abstract Stable isotopic measurements of water provide a promising tool for partitioning of ecosystem evapotranspiration (ET). This approach, however, is still facing some challenges due to the uncertainties in estimating the isotopic compositions of ET and its components. In this study, a tunable diode laser analyzer was deployed for in situ measurements of the oxygen isotopic compositions of water vapor. Using these measurements together with samples of water in plant and soil pools, we partitioned ET via estimating the oxygen isotopic compositions of ET ( δ ET ) and that of its two components, i.e., plant transpiration ( δ T ) and soil water evaporation ( δ E ). A new δ T model was developed in this study, which illustrated consistent estimations with the traditional model. Most of the variables and parameters in the new model can be measured directly with high accuracy, making its potential to be used at other sites high. Our results indicate that the ratio of plant transpiration to evapotranspiration (T/ET) illustrates a “U” shape diurnal pattern. Mean T/ET at 0630–1830 during the sampling days was 83%. Soil depth of 15 cm is a reasonable depth for soil water sampling for estimating δ E at this site. We also investigated the uncertainties in estimating these three terms and their effects on partitioning. Overall, in terms of partitioning, the uncertainties are relatively small from δ T and δ E but quite large from δ ET . Quantifying and improving the precision of δ ET should be a priority in future endeavors of ET partitioning via the stable isotopic approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI