基于Penman-Monteith模型分时段模拟华北落叶松日蒸腾过程

doi:10.16843/j.sswc.2019.05.007

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Abstract [Background] Transpiration is the main form of water consumption in vegetation. It is of great significance to study the actual transpiration of forest trees in arid loess area to improve the utilization efficiency of forest moisture, strengthen the construction and management of forest vegetation and maintain the stability of forest branches. Analysis of its evapotranspiration water consumption characteristics also has important guiding significance for regulating the relationship between water and solving the contradiction between water supply and demand in arid regions.[Methods] This paper takes the Larix principis-rupprechtii in the loess arid area of Qinghai province as the research object. From May to August 2018, the real-time data of the stem sap flow (10 min frequency) of Larix principis-rupprechtii growing season was obtained by using the probe stem flow meter, combined with the Penman-Monteith equation. The inverse total pore resistance γ_st of the canopy and the meteorological data obtained from the portable automatic weather station were used to construct the regression model of γ_st and meteorological factors of Larix principis-rupprechtii in the alpine region, which provided a basis for accurately estimating the transpiration of L. principis-rupprechtii. It provides scientific reference for the accurate estimation of transpiration of L. principis-rupprechtii.[Results] 1) The diurnal variation of transpiration rate of L. principis-rupprechtii shows a single peak curve, and of meteorological elements for sap flow is about 70 min. 2)The canopy layer stomatic resistance at different periods was negatively related to VPD and temperature T, and is positively related to air relative humidity RH. By comparison, we can find that the effect of multiple factors regression of meteorological factors is better than that of single factors regression. The simulated results are ideally within an average error of 14.5%.The multivariate regression equation between γ_st and three meteorological factors during the period from 00:00 to 8:00 is γ_st=-117 376.512+103 310.241VPD-3 134.50t+1 608.292RH. The multivariate regression equation for the period from 08:00 to 20:00 is γ_st=-269.467+244.359VPD-20.451t+8.033RH. The multivariate regression equation for the 20:00-24:00 period is γ_st=-1 570.795-141.384t+49.334RH. The multivariate regression model established by this method can simulate the transpiration process of L. principis-rupprechtii in high cold area and provide reference for studying transpiration of vegetation.

Key words： Penman-Monteith equation trunk stem flow canopy layer stomatic resistance lag time transpiration rate transpiration model

Received: 11 March 2019

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S715.4

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	CHEN Qi
	LI Yuanhang
	WANG Qionglin
	WANG Li
	LIN Sha
	HE Kangning

Cite this article:

CHEN Qi,LI Yuanhang,WANG Qionglin, et al. Simulation of the daily transpiration process of Larix principis-rupprechtii based on Penman-Monteith model[J]. SSWC, 2019, 17(5): 54-64.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2019.05.007 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2019/V17/I5/54

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