1961—2020年青海省饱和水汽压差变化特征及影响因子分析

doi:10.13866/j.azr.2023.02.02

Abstract

Abstract:

The vapor pressure deficit can reflect the ability of the atmosphere to obtain water from the surface,which is one of the main driving factors of evapotranspiration. Clarifying the spatial and temporal variation of vapor pressure deficit (VPD) can help to investigate the response of air dryness to climate change in Tibetan Plateau. Mann-Kendall test, multiple linear regression were used to analyze temporal and spatial variation characteristics and the influencing factors of VPD before and after the breakpoint from 1961 to 2020 in Qinghai Province. The results showed that VPD had an increasing trend in Qinghai Province from 1961 to 2020 and a mutation in 1998. The seasonal averages and corresponding climatic trend rates of VPD were the same as summer>spring>autumn>winter. In different functional areas, average VPDs showed as Qaidam Basin>Eastern Agricultural Area>Qinghai Lake Area>Qingnan Pastoral Area, the corresponding climatic trend rates were the Eastern Agricultural Area>Qaidam Basin>Qingnan Pastoral Area>Qinghai Lake Area. The multi-year average VPD showed a “saddle field” distribution in space, and had an increasing trend except the Guinan Station in the northeastern of Qingnan pastoral area, which had a decreasing trend. The predominant meteorological factors of VPD were different before and after mutation in Qinghai Province. However, the highest temperature and relative humidity in general were the main factors. During the variation of VPD in the spring, summer, autumn and multi-year, the contribution rate of altitude was the highest, followed by longitude; while in winter, the contribution rate of altitude is still the highest, followed by latitude.

Key words: vapor pressure deficit, variation characteristics, influencing factors, Qinghai Province

LI Suyun, QI Donglin, WEN Tingting, SHI Feifei, QIAO Bin, XIAO Jianshe. The variation characteristics and influencing factors of vapor pressure deficit in Qinghai Province from 1961 to 2020[J].Arid Zone Research, 2023, 40(2): 173-181.

Figures/Tables 8

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References 30

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分区	年份	平均气温(T_ave)	最高气温(T_max)	最低气温(T_min)	降水量(p)	降水日数(D_p)	相对湿度(rh)	绝对湿度 (arh)	风速 (wnd)	贡献率/%
青海省	1961—1997	0.67^**	0.85^**	0.25	-0.68^**	-0.84^**	-0.80^**	-0.31^*	0.09	T_max（47.9^**）> rh（26.9）
青海省	1998—2020	0.59^**	0.69^**	0.31	-0.23	-0.52^**	-0.91^**	-0.50^**	0.49^**	rh（71.1^）> T_max（28.9^）
柴达木盆地	1961—1989	0.71^**	0.77^**	0.48^**	-0.55^**	-0.68^**	-0.76^**	-0.53^**	-0.16	rh（49.9^）> T_max（48.5^）
柴达木盆地	1990—2020	0.66^**	0.80^**	0.46^**	-0.25	-0.45^**	-0.62^**	0.17	-0.21	T_max（60.8^）> rh（39.2^）
东部农业区	1961—2002	0.70^**	0.81^**	0.33^*	-0.69^**	-0.81^**	-0.82^**	-0.18	-0.07	T_max（40.2^）> rh（33.7^）> p（18.4^**）
东部农业区	2003—2020	0.70^**	0.76^**	0.48^**	-0.60^**	-0.76^**	-0.95^**	-0.57^**	0.39^**	rh（81.2^**）> T_max（15.2）
青海湖地区	1961—1996	0.52^**	0.84^**	0.01	-0.73^**	-0.80^**	-0.86^**	-0.47^**	0.46^**	T_max（37.7^）> rh（34.3^）> p（20.4^**）
青海湖地区	1997—2020	0.41^**	0.69^**	0.09	-0.29^*	-0.63^**	-0.92^**	-0.43^**	0.52^**	rh（57.3^）> T_max（29.8^）
青南牧区	1961—1997	0.69^**	0.85^**	0.38^**	-0.48^**	-0.78^**	-0.79^**	-0.04	0.38^**	T_max（53.5^）> rh（30.7^）> D_p（15.8）
青南牧区	1998—2020	0.61^**	0.85^**	0.17	-0.25	-0.56^**	-0.96^**	-0.52^**	0.54^**	rh（73.0^）> T_max（27.0^）

不同时间段	方程	相关系数	贡献率/%
1961—2020年	VPD = -0.204 × lat - 0.459 × lon - 0.003 × h + 66.342	0.93^**	h(53.4^*) > lon(38.0^) > lat(8.6^)
春季	VPD = -0.293 × lat - 0.413 × lon - 0.003 × h + 66.865	0.94^**	h (56.5^*)> lon(32.0^) > lat(11.5^*)
夏季	VPD = -0.141 × lat - 0.908 × lon - 0.005 × h + 116.884	0.92^**	h (52.9^*)> lon(43.7^) > lat*(3.4)
秋季	VPD = -0.127 × lat - 0.431 × lon - 0.002 × h + 58.279	0.90^**	h(50.9^*) > lon(42.7^) > lat*(6.4)
冬季	VPD = -0.256 × lat - 0.078× lon - 0.001 × h + 22.521	0.91^**	h(53.2^*) > lat(29.3^) > lon(17.5^*)

The variation characteristics and influencing factors of vapor pressure deficit in Qinghai Province from 1961 to 2020

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