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当前位置: 首页 > 文章 > 涡度相关技术实测农田的通量贡献区范围分析 灌溉排水学报 2017 (6) 49-56
Position: Home > Articles > Analyzing Flux Footprint of Agro-ecosystem Measured by the Eddy Covariance System Journal of Irrigation and Drainage 2017 (6) 49-56

涡度相关技术实测农田的通量贡献区范围分析

作  者：
冯俊婷;胡振华;张宝忠;周青云;彭致功
单  位：
国家节水灌溉北京工程技术研究中心;山西农业大学林学院;中国水利水电科学研究院流域水循环模拟与调控国家重点实验室
关键词：
涡度相关技术;通量贡献区;FSAM模型;KL模型;冬小麦
摘  要：
基于涡度相关系统实测的北京地区2013—2014年冬小麦通量数据,采用FSAM和KL模型,分析了不同大气条件、不同风向、不同生育期通量源区范围的分布情况。结果表明,(1)整个小麦生育季,大气层结稳定和不稳定条件下,270°~360°方向风频所占比例最大,分别为42%和37%,为主风方向。(2)不同生育期、不同大气层结的主风向源区存在一定差异,大气层结稳定时,上风方向通量源区范围在16.07~167.05 m之间变化;大气层结不稳定时,上风方向通量源区范围在13.73~153.66 m之间变化。且大气层结稳定时的源区面积均比不稳定层结的大,源区面积随生育期呈先减小后增大的趋势;(3)从解析FSAM模型和拉格朗日KL模型的对比分析看,FSAM和KL模型估算距离观测点的最远距离分别为215.8和291.8 m,不同生育期2种模型估算结果也有差异。
译  名：
Analyzing Flux Footprint of Agro-ecosystem Measured by the Eddy Covariance System
作  者：
FENG Junting;HU Zhenhua;ZHANG Baozhong;ZHOU Qingyun;PENG Zhigong;Forestry College,Shanxi Agriculture University;State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research;National Center of Efficient Irrigation Engineering and Technology Research-Beijing;
关键词：
eddy covariance system;;flux footprint;;FSAM model;;KL model;;winter wheat
摘  要：
Using FSAM and KL models and flux data measured during the growing stage of winter wheat from the eddy covariance system in Beijing, we analyzed the flux footprints under different atmospheric conditions and growing stages. The results are summarized as follows.(1)The prevailing wind direction was in 270o~360oand the wind frequency under stable and unstable atmospheric conditions was 42% and 37% respectively in the same direction.(2)The flux footprint under prevailing wind direction varied at different growing stages and atmospheric conditions; when the atmospheric condition was stable, the upwind range of the flux footprint was 16.07~167.05 m,while when the atmospheric condition was unstable, the upwind range of flux footprint was 13.73~153.66 m. The flux footprint under stable atmospheric condition was higher than that under unstable atmospheric condition, and the upwind footprint increased first then decreased within the growing stages.(3) Comparative analysis of the FSAM and KL models showed that the longest distances from the observation point estimate by the FSAM model and KL model were 215.8 m and 291.8 m respectively. The results estimated by the two models at different growing stages differed.

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