冬小麦蒸散源区代表性分析

谢静; 宋妮; 陈智芳; 王景雷

引用本文:	谢静,宋妮,陈智芳,等.冬小麦蒸散源区代表性分析[J].灌溉排水学报,0,():-.
	XIE Jing,Song Ni,Chen Zhifang,et al.冬小麦蒸散源区代表性分析[J].灌溉排水学报,0,():-.

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冬小麦蒸散源区代表性分析
谢静, 宋妮, 陈智芳, 王景雷
中国农业科学院农田灌溉研究所/农业部作物需水与调控重点开放实验室

摘要:

【目的】利用涡度相关技术观测冬小麦生育期内湍流通量,结合Kljun模型和KM模型分析试验区农田生态系统通量贡献区的时空分布。【方法】使用闭路涡度系统对2019年10月～2020年6月新乡综合试验基地冬小麦进行通量观测,采用足迹解析模型中的Kljun模型和基于土地利用信息的KM模型对通量源区分布和规律进行分析。【结果】① 整个生育期主风向为西南风,次风向为东北风。② 不同生育期、不同大气状态下的源区面积存在一定的差异,大气非稳定状态下源区面积均大于稳定状态,源区方向与长度受风向风速的影响。③ Kljun模型和KM模型计算的源区面积间存在线性关系S_KM=0.93S_Kl-1962.5,R_²=0.96,其中KM模型计算通量足迹值整体大于Kljun模型。【结论】不同模型计算的源区不同,风向和风速是源区分布的主要影响因素,田块是试验区内通量重要贡献的主要来源。

关键词: 涡度相关技术;通量源区;Kljun模型;KM模型

DOI：

分类号:S271

基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目）

Analysis on Representativeness of Evapotranspiration Source Area of Winter Wheat

XIE Jing, Song Ni, Chen Zhifang, WANG Jinglei

Institute of farmland irrigation,Chinese Academy of Agricultural Sciences/ Key Open Laboratory of crop water demand and regulation

Abstract:

【Objective】Using the eddy covariance observation systems, turbulent fluxes in the winter wheat growth stage was captured. The flux contribution area of farmland ecosystem in experimental area and its temporal dynamics was analyzed by Kljun and KM models.【Method】Fluxes of the winter wheat were observed with the closed-path eddy covariance system from October 2019 to June 2020 at XinXiang comprehensive experimental base. The analytic footprint model of Kljun, and KM method based on land use information were used to analyze the distribution and variation of flux sources.【Result】① The southwest wind is the prevailing wind of the whole growth stage, the northeast wind is the secondary wind direction; ② In different growth stages and under different atmospheric states, differences were found among source areas, the source area is much larger under stable conditions than under unstable conditions; The direction and length of source areas are affected by wind direction and wind speed; ③ There is a linear relationship between the source area calculated by Kljun and KM models, SKM=0.93SKl-1962.5, R²=0.96, the results of KM method were larger than that of Kljun model.【Conclusion】The source regions calculated by Kljun and KM models are different, wind direction and wind speed are the main factors affecting the source distribution, the field of winter wheat is the main source of flux contribution in the experimental area.

Key words: Eddy covariance system; Source area; Kljun model; KM method;