河西走廊东部不同气候态气温变化及其对气候评价的影响

doi:10.13866/j.azr.2024.07.01

Abstract

Abstract:

Hexi Corridor Eastern is an area sensitive to changes in climate and climate states, greatly affecting climate evaluation. Using the monthly temperature data of five national meteorological stations in Hexi Corridor Eastern from 1961 to 2022, differences in the average temperatures of four climate states, including 1961-1990, 1971-2000, 1981-2010 and 1991-2020 were compared, and their influence on the climate assessment business was analyzed. The results showed that the annual temperatures of the four climate states increased in various and whole regions, most notably in the P2 (1971-2000) and P4 (1991-2020) states. The temperature differences in the climate states revealed the following: (1) the monthly, seasonal, and yearly temperatures consistently warmed up in the whole basin and various regions, and (2) except for the P3 (1981-2010) to P4 climate states, others showed maximal and minimal elevation in winter and summer, respectively. The monthly variations in enhanced temperatures were apparent, and the growth rate demonstrated obvious spatial differences in the same season and month. After the replacement of the climate state means, the conspicuous characteristics of temperature variations were weakened in the Hexi Corridor Eastern, and their grades were adjusted from positive to negative; temperature rating was as high as 56%-87% to a lower level; the cold winter years increased by 17-28 years, and the warm winter years reduced by 15-23 years from P1(1961-1990) to P4 climate states. This study can provide a reference for understanding temperature changes, climate business, decision-making service, and meteorological science research in Hexi Corridor Eastern.

Key words: climate warming, temperature climate state, change, climate assessment, Hexi Corridor Eastern

YANG Xiaoling, ZHOU Hua, CHEN Jing, ZHAO Huihua, WU Wen. Temperature in different climate states and their influence on climate evaluation in the Hexi Corridor Eastern[J].Arid Zone Research, 2024, 41(7): 1089-1098.

Figures/Tables 10

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序号	评价标准/℃	等级
1	ΔA≤-2.0	异常偏低
2	-2.0<ΔA≤-1.0	明显偏低
3	-1.0<ΔA<0.0	正常略低
4	0.0≤ΔA<1.0	正常略高
5	1.0≤ΔA<2.0	明显偏高
6	ΔA≥2.0	异常偏高

项目		永昌	凉州	民勤	古浪	天祝	全区域
	均值(T₁)/℃	4.8	7.7	7.9	4.9	-0.3	5.0
	倾向率(a₁)/[℃·（10a）^-1]	0.139	0.029	0.272	0.127	0.064	0.126
	趋势系数	0.250	0.054	0.433^**	0.244	0.137	0.243
	均值(T₂)/℃	5.0	7.9	8.3	5.2	0.0	5.3
	倾向率(a₂)/[℃·（10a）^-1]	0.298	0.407	0.548	0.418	0.385	0.411
	趋势系数	0.505^*	0.551^*	0.739^*	0.594^*	0.612^*	0.621^*
	均值(T₃)/℃	5.4	8.5	8.8	5.7	0.3	5.8
	倾向率(a₃)/[℃·（10a）^-1]	0.412	0.792	0.541	0.626	0.293	0.533
	趋势系数	0.629^*	0.795^*	0.719^*	0.787^*	0.523^*	0.736^*
	均值(T₄)/℃	5.8	9.2	9.4	6.3	0.7	6.3
	倾向率(a₄)/[℃·（10a）^-1]	0.528	0.894	0.554	0.770	0.519	0.653
	趋势系数	0.750^*	0.842^*	0.730^*	0.844^*	0.753^*	0.810^*
Δa_2-1/[℃·（10a）^-1]		0.159	0.378	0.276	0.291	0.321	0.285
Δa_3-2/[℃·（10a）^-1]		0.114	0.385	-0.007	0.208	-0.092	0.122
Δa_4-3/[℃·（10a）^-1]		0.116	0.102	0.013	0.144	0.226	0.120
Δa_4-1/[℃·（10a）^-1]		0.389	0.865	0.282	0.643	0.455	0.527

差值	永昌	凉州	民勤	古浪	天祝	全区域
ΔT_2-1	0.2	0.2	0.4	0.3	0.2	0.3
ΔT_3-2	0.4	0.6	0.5	0.5	0.4	0.5
ΔT_4-3	0.4	0.7	0.5	0.6	0.4	0.5
ΔT_4-1	1.0	1.5	1.4	1.5	1.0	1.3

差值	站点	1月	2月	3月	4月	5月	6月	7月	8月	9月	10月	11月	12月
ΔT_2-1	永昌	0.2	0.6	0.1	0.4	-0.1	-0.1	0.1	0.2	0.4	-0.1	0.5	0.4
	凉州	0.3	0.7	0.1	0.3	-0.1	-0.1	0.0	0.0	0.2	-0.1	0.4	0.7
	民勤	0.6	1.0	0.4	0.5	0.1	0.1	0.1	0.1	0.2	0.1	0.6	1.0
	古浪	0.5	0.8	0.2	0.3	0.0	0.2	0.2	0.0	0.3	0.0	0.6	0.7
	天祝	0.2	0.5	0.1	0.2	-0.1	0.2	0.2	0.1	0.4	-0.1	0.7	0.4
	全区域	0.4	0.7	0.2	0.3	0.0	0.1	0.1	0.1	0.3	0.0	0.5	0.6
ΔT_3-2	永昌	0.3	0.7	0.5	0.3	0.2	0.5	0.6	0.3	0.3	0.3	0.3	0.2
	凉州	0.6	1.0	0.8	0.5	0.5	0.8	0.7	0.3	0.5	0.7	0.7	0.4
	民勤	0.4	0.9	0.7	0.4	0.5	0.6	0.5	0.1	0.2	0.4	0.5	0.4
	古浪	0.6	1.0	0.6	0.3	0.3	0.7	0.7	0.3	0.4	0.5	0.6	0.4
	天祝	0.4	0.7	0.5	0.2	0.2	0.5	0.5	0.2	0.4	0.2	0.4	0.2
	全区域	0.5	0.9	0.6	0.4	0.4	0.6	0.6	0.3	0.4	0.4	0.5	0.3
ΔT_4-3	永昌	0.0	0.5	0.8	0.7	0.2	0.6	0.6	0.4	0.2	0.3	0.3	-0.1
	凉州	0.3	0.8	1.1	0.8	0.5	1.0	0.7	0.6	0.6	0.7	0.7	0.3
	民勤	0.2	0.7	1.0	0.8	0.4	0.7	0.5	0.5	0.4	0.4	0.6	0.3
	古浪	0.3	0.8	1.1	0.8	0.3	0.8	0.8	0.6	0.4	0.5	0.7	0.2
	天祝	0.0	0.6	0.8	0.7	0.2	0.5	0.4	0.4	0.3	0.3	0.3	-0.1
	全区域	0.1	0.7	1.0	0.8	0.3	0.7	0.6	0.5	0.4	0.4	0.5	0.1
ΔT_4-1	永昌	0.5	1.9	1.5	1.4	0.3	1.0	1.3	0.9	0.9	0.5	1.1	0.6
	凉州	1.2	2.5	2.0	1.7	1.0	1.7	1.4	0.8	1.3	1.3	1.8	1.4
	民勤	1.2	2.6	2.2	1.7	1.0	1.5	1.1	0.7	0.8	1.0	1.6	1.6
	古浪	1.4	2.6	1.8	1.4	0.7	1.6	1.6	1.0	1.1	1.0	1.9	1.3
	天祝	0.6	1.9	1.4	1.1	0.4	1.1	1.1	0.7	1.1	0.5	1.4	0.5
	全区域	1.0	2.3	1.8	1.5	0.7	1.4	1.3	0.8	1.0	0.8	1.6	1.1

Temperature in different climate states and their influence on climate evaluation in the Hexi Corridor Eastern

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气候态	永昌	凉州	民勤	古浪	天祝	全区域
P1~P2	6	7	17	10	12	12
P2~P3	8	12	5	4	4	6
P3~P4	14	4	10	12	12	12
P1~P4	28	23	32	26	28	30

气候态		永昌	凉州	民勤	古浪	天祝	全区域
冷冬年数	P1	10	6	10	14	14	11
	P2	18	22	20	19	21	19
	P3	30	30	31	28	28	29
	P4	34	33	38	31	33	35
暖冬年数	P1	34	33	38	30	34	34
	P2	28	26	26	23	26	25
	P3	17	19	17	16	17	17
	P4	13	14	15	15	13	15

[1]	SUN Linlin, LIU Qiong, HUANG Guan, CHEN Yonghang, WEI Xin, GUO Yulin, ZHANG Taixi, GAO Tianyi, XU Yunhong. Analysis of surface solar radiation under different cloud conditions in Xinjiang and the surrounding “Belt and Road” regions [J]. Arid Zone Research, 2024, 41(9): 1480-1490.
[2]	ZHANG Wenrui, SUN Dongyuan, WANG Yike, YANG Jun, LAN Lijun, JIN Hujia, XU Yu. Coupling relationship and spatiao-temporal differentiation of the water resources-ecological environment-social economic system in the Hexi Corridor [J]. Arid Zone Research, 2024, 41(9): 1527-1537.
[3]	CHEN Songqing, DONG Hongfang, YUE Yifeng, HAO Yuanyuan, LIU Xin, CAO Xianyu, MA Jun. Geographical distribution and dynamic change prediction of Hippophae rhamnoides subsp. sinensis under different climate scenarios [J]. Arid Zone Research, 2024, 41(9): 1560-1571.
[4]	LYU Zhuangzhuang, QIAO Qingqing, DONG Sunyi, WANG Dong. Paleoclimatic evolution and driving mechanisms in arid areas of inland Asia during the Middle Miocene Climatic Optimum in the context of global climate warming [J]. Arid Zone Research, 2024, 41(8): 1309-1322.
[5]	WU Siyuan, HAO Lina. Changes in vegetation cover and driving factors in the Yellow River Basin from 2001 to 2021 [J]. Arid Zone Research, 2024, 41(8): 1373-1384.
[6]	ZHANG Hongwei, BIE Qiang, SHI Ying, SU Xiaojie, LI Xinzhang. Characteristics of vegetation cover changes in the upper reaches of the Yellow River Basin and the influencing factors [J]. Arid Zone Research, 2024, 41(8): 1385-1394.
[7]	LYU Yanxun, ZHAO Hongmin, WANG Xiaojun, WANG Bin, MA Zhongwu, LIU Minlan, ZHANG Linghui. Dust weather changes in Northwest Chinese Cities: Lanzhou as a case study [J]. Arid Zone Research, 2024, 41(7): 1112-1119.
[8]	ZHOU Jie, WANG Xuhu, DU Weibo, ZHOU Xiaolei, YANG Jie, ZAHNG Xiaowei. Prediction of potential distribution area of Picea schrenkiana under the background of climate change [J]. Arid Zone Research, 2024, 41(7): 1167-1176.
[9]	LI Bingjie, FAN Zhitao, QU Zhicheng, YAO Shunyu, SU Xiashu, LIU Dongwei, WANG Lixin. Evaluation and prediction of ecosystem carbon storage in the Inner Mongolia section of the Yellow River Basin based on the InVEST-PLUS model [J]. Arid Zone Research, 2024, 41(7): 1217-1227.
[10]	ZHANG Shunxin, WU Zihao, YAN Qingwu, LI Gui’e, MU Shouguo. Spatiotemporal changes in the ecosystem carbon storage on the northern slope of the Tianshan Mountains and simulations based on the PLUS-InVEST model [J]. Arid Zone Research, 2024, 41(7): 1228-1237.
[11]	MA Yuanzhi, QIN Xiaolin, LING Hongbo, YAN Junjie, ZHANG Guangpeng. Spatio-temporal characteristics and trends of area changes in the small and medium-sized lakes in Xinjiang, China, from 1991 to 2020 [J]. Arid Zone Research, 2024, 41(6): 905-916.
[12]	LIANG Shuanghe, NIU Zuirong, JIA Ling. Analysis of runoff changes and attribution in the main stream of Zuli River in the past 65 years [J]. Arid Zone Research, 2024, 41(6): 928-939.
[13]	YAO Xiaochen, GAO Fan, HAN Fanghong, HE Bing. Land use intensity change and its influence on evapotranspiration in Aksu River Basin from 2000 to 2020 [J]. Arid Zone Research, 2024, 41(6): 951-963.
[14]	TANG Kexin, GUO Jianbin, HE Liang, CHEN Lin, WAN Long. Characteristics of the spatial and temporal evolution of Gross Primary Productivity and its influencing factors in China’s drylands [J]. Arid Zone Research, 2024, 41(6): 964-973.
[15]	HU Guanglu, LIU Peng, LI Jia’nan, TAO Hu, ZHOU Chengqian. Characteristics of soil moisture dynamics and influencing factors of three landscape types at the oasis edge in the middle reaches of the Heihe River [J]. Arid Zone Research, 2024, 41(4): 550-565.