延河流域实际蒸散发时空特征及影响因素分析

doi:10.16843/j.sswc.2021.04.006

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Abstract [Background] This paper is to study the variation law of actual evapotranspiration (E_a) under the change of climate and vegetation restoration in the Yanhe River Basin, which may provide a scientific reference for the research of management and planning of water resources under the change of climate and vegetation cover.[Methods] Based on the meteorological data, runoff data, and normalized difference vegetation index data (NDVI) in Yanhe River Basin from 1978 to 2017, We firstly calibrated the parameter (α) of the advection-aridity model and used the parameter after calibration to calculate E_a. Then we used the Mann-Kendall test and inverse distance weighting method to analyze the changes in trends and the characteristics in spatial and temporal distribution of E_a. In addition, we used Pearson correlation analysis method to explore the reasons of the change in E_a.[Results] The optimal parameter of the AA model is 0.85 in the Yanhe River Basin. Under this parameter, both the relative error of the calculated results in the calibration period and the verification period is 5%. Moreover, the Nash Efficiency Coefficient (N) is as high as 0.998 in the verification period. The calculated results of the calibrated AA model are reliable and have high accuracy in our study in the Yanhe River Basin so that the model meets the accuracy requirements. From the view of time point, E_a has only one maximum value in a year, and the month at the high-value of evapotranspiration appears from June to August in a year, which is a unimodal distribution. As a whole, the average annual E_a for many years is 472.92 mm and shows a trend of increasing by 0.23 mm/a. From the view of spatial point, the overall spatial appearance of E_a is high in the southeast and low in the northwest. The distribution characteristics of the high-value area of E_a gradually drift southward with time. In Yanhe River Basin, E_a is negatively correlated with annual precipitation, relative humidity, atmospheric pressure, wind speed at 2 m height and NDVI, but it is not significant, and negative correlation coefficients are all below 0.2. E_a is positively correlated with actual duration of sunshine, maximum daily temperature, minimum daily temperature, and average temperature, it passes the 0.05 significance level test, and the correlation coefficient between actual duration of sunshine and E_a reaches 0.74. The correlation coefficient between E_a and NDVI is -0.063, which shows a weak negative correlation, but their relationship varies in different regions.[Conclusions] On the annual scale, the increase in E_a is caused by the combination of rising in temperature and actual duration of sunshine, and falling in atmospheric pressure. The spatial heterogeneity of vegetation coverage determines the actual spatial difference of actual evapotranspiration. But E_a is intensively affected by water replenishment. Therefore, under the influence of water replenishment, the effect of vegetation coverage on E_a is significantly different.

Key words： actual evapotranspiration advection-aridity model spatial and temporal characteristics meteorological factor NDVI

Received: 03 April 2020

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S161.4

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	Articles by authors
	LUO Yu
	YIN Diansheng
	MU Xingmin
	GAO Peng
	ZHAO Guangju

Cite this article:

LUO Yu,YIN Diansheng,MU Xingmin, et al. Analysis of temporal and spatial characteristics of actual evapotranspiration and its influence factors in Yanhe River Basin[J]. SSWC, 2021, 19(4): 51-59.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2021.04.006 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2021/V19/I4/51

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