近60 a新疆开都-孔雀河流域大气饱和水汽压差变化特征及影响因子

doi:10.13866/j.azr.2024.11.02

干旱区研究 ›› 2024, Vol. 41 ›› Issue (11): 1808-1818.doi: 10.13866/j.azr.2024.11.02 cstr: 32277.14.AZR.20241102

近60 a新疆开都-孔雀河流域大气饱和水汽压差变化特征及影响因子

李晓琦¹(), 李漠岩¹^,²(), 李佳卉¹, 姚俊强³, 许兴斌¹^,²

1.新疆师范大学地理科学与旅游学院，新疆乌鲁木齐 830054
2.新疆干旱区湖泊环境与资源实验室，新疆乌鲁木齐 830054
3.中国气象局乌鲁木齐沙漠气象研究所，新疆乌鲁木齐 830002

收稿日期:2024-06-20 修回日期:2024-08-01 出版日期:2024-11-15 发布日期:2024-11-29
通讯作者: 李漠岩. E-mail: limy525@126.com
作者简介:李晓琦（2002-），男，主要从事干旱区气候与水循环研究. E-mail: 15588528726@163.com
基金资助:
新疆人才发展基金“天池英才”引进计划青年博士项目;上海合作组织科技伙伴计划及国际科技合作计划项目(2023E01022);上海合作组织科技伙伴计划及国际科技合作计划项目(2023E01005);中国沙漠气象科学研究基金(Sqj2023017)

Changes in atmospheric vapor pressure deficit in the Kaidu-Kongque River Basin and its influencing factors

LI Xiaoqi¹(), LI Moyan¹^,²(), LI Jiahui¹, YAO Junqiang³, XU Xingbin¹^,²

1. School of Geographic Science and Tourism, Xinjiang Normal University, Urumqi 830054, Xinjiang, China
2. Xinjiang Key Laboratory of Lakes Environment and Resources in Arid Zone, Urumqi 830054, Xinjiang, China
3. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, Xinjiang, China

Received:2024-06-20 Revised:2024-08-01 Published:2024-11-15 Online:2024-11-29

摘要/Abstract

摘要：

基于1961—2021年新疆开都-孔雀河流域逐月气温和相对湿度观测数据，分析开都-孔雀河流域大气饱和水汽压差、饱和水汽压及实际水汽压的变化趋势，探讨山地、绿洲、荒漠环境下大气饱和水汽压差变化特征，揭示了大气饱和水汽压差变化的影响因子。结果表明：（1） 1961—2021年开都-孔雀河流域年及四季大气饱和水汽压差总体呈上升趋势，并呈阶段性变化特征，其中1997年发生突变，从1961—1996年的下降趋势突变为1997—2021年的上升趋势，揭示了1997年以后大气干旱加剧，尤其在春季。（2）不同环境下大气饱和水汽压差变化趋势与气温和实际水汽压的变化趋势一致，其中荒漠环境下大气饱和水汽压差增长速率最大，其次是绿洲和山地环境。（3）大气饱和水汽压差与温度变化呈正相关，而与相对湿度变化呈负相关；1997年以来气温快速升高而相对湿度迅速降低是导致大气饱和水汽压差加速上升的主要原因；此外，实际水汽压的增长速率小于饱和水汽压的增长速率。研究成果有助于深入理解大气干旱过程及对气候变化的响应关系。

关键词: 饱和水汽压差（VPD）, 实际水汽压, 变化特征, 影响因子, 开都-孔雀河

Abstract:

In this study, we analyzed meteorological observation data from the Kaidu-Kongque River basin in Xinjiang between 1961 and 2021 to investigate trends of vapor pressure deficit (VPD), as well as saturated (es) and actual (ea) water vapor pressure. We explored VPD changes across mountainous, oasis, and desert environments along with the factors influencing these changes. The results revealed the following: (1) Annual and seasonal VPD showed an upward trend from 1961 to 2021, characterized by distinct phases in which a sudden change occurred in 1997, shifting from a downward trend from 1961 to 1996 to an upward trend from 1997 to 2021, highlighting an intensification of atmospheric drought post 1997, particularly in spring. (2) VPD trends align with those of temperature and ea, showing the most significant increase in desert environments, followed by oasis and mountainous environments. (3) VPD changes are primarily affected by ea and es, positively correlated with temperature changes and negatively correlated with Relative Humidity changes. The rapid rise in temperature and decline in RH since 1997 are the primary causes of accelerated VPD, with the growth rate of ea being lower than that of es. These findings enhance our understanding of atmospheric drought and its response to climate change.

Key words: VPD, actual water vapor pressure, variation characteristics, influencing factors, Kaidu-Kongque River

李晓琦, 李漠岩, 李佳卉, 姚俊强, 许兴斌. 近60 a新疆开都-孔雀河流域大气饱和水汽压差变化特征及影响因子[J]. 干旱区研究, 2024, 41(11): 1808-1818.

LI Xiaoqi, LI Moyan, LI Jiahui, YAO Junqiang, XU Xingbin. Changes in atmospheric vapor pressure deficit in the Kaidu-Kongque River Basin and its influencing factors[J]. Arid Zone Research, 2024, 41(11): 1808-1818.

图/表 14

图1

图2

表1

图3

图4

图5

表2

图6

图7

图8

图9

表3

图10

图11

参考文献 33

[1]	Balliu A, Zheng Y, Sallaku G, et al. Environmental and cultivation factors affect the morphology, architecture and performance of root systems in soilless grown plants[J]. Horticulturae, 2021, 7(8): 243.
[2]	Zhong Z, He B, Wang Y P, et al. Disentangling the effects of vapor pressure deficit on northern terrestrial vegetation productivity[J]. Science Advances, 2023, 9(32): eadf3166.
[3]	赵卉忱, 贾根锁, 王鹤松, 等. 中国半干旱区草甸草原和典型草原碳通量日变化特征[J]. 气候与环境研究, 2020, 25(2): 172-184.
	[Zhao Huichen, Jia Gensuo, Wang Hesong, et al. Diurnal variations of the carbon fluxes of semiarid meadow steppe and typical steppe in China[J]. Climatic and Environmental Research, 2020, 25(2): 172-184. ]
[4]	Yuan W, Zheng Y, Piao S, et al. Increased atmospheric vapor pressure deficit reduces global vegetation growth[J]. Science Advances, 2019, 5(8): eaax1396.
[5]	Lobell D B, Hammer G L, McLean G, et al. The critical role of extreme heat for maize production in the United States[J]. Nature Climate Change, 2013, 3(5): 497-501.
[6]	Novick K A, Ficklin D L, Stoy P C, et al. The increasing importance of atmospheric demand for ecosystem water and carbon fluxes[J]. Nature Climate Change, 2016, 6(11): 1023-1027.
[7]	李晓菲, 徐长春, 李路, 等. 21世纪开都-孔雀河流域未来气候变化情景预估[J]. 干旱区研究, 2019, 36(3): 556-566.
	[Li Xiaofei, Xu Changchun, Li Lu, et al. Projection of future climate change in the Kaidu-Kongqi River Basin in the 21st Century[J]. Arid Zone Research, 2019, 36(3): 556-566. ]
[8]	IPCC. Climate Change 2022: Impacts, Adaptation and Vulnerability[M]. Cambridge: Cambridge University Press, 2022: 3056.
[9]	IPCC. Climate Change 2023: Synthesis Report[M]. Cambridge: Cambridge University Press, 2023: 1-36.
[10]	Zhang H, Wu B, Yan N, et al. An improved satellite-based approach for estimating vapor pressure deficit from MODIS data[J]. Journal of Geophysical Research: Atmospheres, 2014, 119(21): 212-256.
[11]	Dai A. Increasing drought under global warming in observations and models[J]. Nature Climate Change, 2013, 3(1): 52-58.
[12]	李旭谱, 张福平, 胡猛, 等. 基于SPOT NDVI的植被覆盖时空演变规律分析——以西北五省为例[J]. 干旱地区农业研究, 2012, 35(5): 180-184, 199.
	[Li Xupu, Zhang Fuping, Hu Meng, et al. Analysis of the regulation of spatial-temporal variation of the vegetation coverage based on SPOT NDVI data—A case study in Northwest China[J]. Agricultural Research in the Arid Areas, 2012, 35(5): 180-184, 199. ]
[13]	董翰林, 王文婷, 谢云, 等. 新疆气候干湿变化特征及其影响因素[J]. 干旱区研究, 2023, 40(12): 1875-1884. doi: 10.13866/j.azr.2023.12.01
	[Dong Hanlin, Wang Wenting, Xie Yun, et al. Climate dry-wet conditions,changes, and their driving factors in Xinjiang[J]. Arid Zone Research, 2023, 40(12): 1875-1884. ] doi: 10.13866/j.azr.2023.12.01
[14]	虞佳陆, 张景, 张敏, 等. 基于标准化前期降水蒸散指数的新疆干旱时空演变特征[J]. 干旱地区农业研究, 2023, 41(4): 275-288.
	[Yu Jialu, Zhang Jing, Zhang Min, et al. SAPEI—Based spatial and temporal variation characteristics of drought in Xinjiang[J]. Agricultural Research in the Arid Areas, 2023, 41(4): 275-288. ]
[15]	潘银妹, 戴雪荣, 毛东雷. 新疆开都河-孔雀河流域近59年极端气候事件时空变化特征[J]. 湖北农业科学, 2022, 61(15): 42-49,74.
	[Pan Yinmei, Dai Xuerong, Mao Donglei. Characteristics of spatial and temporal changes of extreme climate events in the Kaidou River-Kongque River Basin in Xinjiang in recent 59 years[J]. Hubei Agricultural Sciences, 2022, 61(15): 42-49, 74. ]
[16]	石光義. 基于SWAT模型的新疆开都-孔雀河流域径流时空变化研究[D]. 长春: 长春工程学院, 2020.
	[Shi Guangyi. Study on Runoff Spatiotemporal Variation of Xinjiang Kaidu-Kongqi River Basin Based on SWAT Model[D]. Changchun: Changchun Institute of Technology, 2020. ]
[17]	Allen R G, Pereira L S, Raes D, et al. FAO Irrigation and drainage paper No. 56[J]. Rome: Food and Agriculture Organization of the United Nations, 1998, 56(97): e156.
[18]	Aguilar E, Peterson T, Obando P R, et al. Changes in precipitation and temperature extremes in Central America and northern South America, 1961-2003[J]. Journal of Geophysical Research: Atmospheres, 2005, 110(D23): 1-15.
[19]	Jaeckel L A. Estimating regression coefficients by minimizing the dispersion of the residuals[J]. The Annals of Mathematical Statistics, 1972, 43(5): 1449-1458.
[20]	Wang H, Chen Y, Chen Z. Spatial distribution and temporal trends of mean precipitation and extremes in the arid region, Northwest of China, during 1960-2010[J]. Hydrological Processes, 2013, 27(2): 1807-1818.
[21]	Dodge Y. The Concise Encyclopedia of Statistics[M]. New York: Springer, 2008.
[22]	Fang S, Yan J, Che M, et al. Climate change and the ecological responses in Xinjiang, China: Model simulations and data analyses[J]. Quaternary International, 2013, 311: 108-116.
[23]	Li B, Chen Y, Shi X, et al. Temperature and precipitation changes in different environments in the arid region of Northwest China[J]. Theoretical and Applied Climatology, 2013, 112(3-4): 589-596.
[24]	Yao J, Chen Y, Yang Q. Spatial and temporal variability of water vapor pressure in the arid region of Northwest China, during 1961-2011[J]. Theoretical and Applied Climatology, 2016, 123: 683-691.
[25]	Li M, Yao J, Guan J, et al. Observed changes in vapor pressure deficit suggest a systematic drying of the atmosphere in Xinjiang of China[J]. Atmospheric Research, 2021, 248: 105199.
[26]	韩永贵, 韩磊, 黄晓宇, 等. 基于指数平滑和ARIMA模型的西北地区饱和水汽压差预测[J]. 干旱区研究, 2021, 38(2): 303-313. doi: 10.13866/j.azr.2021.02.02
	[Han Yongui, Han Lei, Huang Xiaoyu, et al. Prediction of vapor pressure deficit in Northwest China based on exponential and ARIMA models[J]. Arid Zone Research, 2021, 38(2): 303-313. ] doi: 10.13866/j.azr.2021.02.02
[27]	李素雲, 祁栋林, 温婷婷, 等. 1961—2020年青海省饱和水汽压差变化特征及影响因子分析[J]. 干旱区研究, 2023, 40(2): 173-181. doi: 10.13866/j.azr.2023.02.02
	[Li Suyun, Qi Donglin, Wen Tingting, et al. 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. ] doi: 10.13866/j.azr.2023.02.02
[28]	Simmons A, Willett K, Jones P, et al. Low-frequency variations in surface atmospheric humidity, temperature, and precipitation: Inferences from reanalyses and monthly gridded observational data sets[J]. Journal of Geophysical Research: Atmospheres, 2010, 115(D1): 1-21.
[29]	Willett K, Dunn R, Thorne P, et al. HadISDH land surface multi-variable humidity and temperature record for climate monitoring[J]. Climate of the Past, 2014, 10(6): 1983-2006.
[30]	Rawson H, Begg J, Woodward R. The effect of atmospheric humidity on photosynthesis, transpiration and water use efficiency of leaves of several plant species[J]. Planta, 1977, 134: 5-10. doi: 10.1007/BF00390086 pmid: 24419571
[31]	於嘉禾, 王卫光, 陈泽峰. 全球旱地饱和水汽压差和根区土壤水分变化对植被生产力的影响及其成因[J]. 生态学报, 2024, 44(11): 4808-4819.
	[Yu Jiahe, Wang Weiguang, Chen Zefeng. Influences of vapor pressure deficit and root-zone soil moisture changes on vegetation productivity and its causes across global drylands[J]. Acta Ecologica Sinica, 2024, 44(11): 4808-4819. ]
[32]	Yao J, Zhao Y, Chen Y, et al. Multi-scale assessments of droughts: A case study in Xinjiang, China[J]. Science of the Total Environment, 2018, 630: 444-452.
[33]	Chen Y, Li Z, Fan Y, et al. Progress and prospects of climate change impacts on hydrology in the arid region of Northwest China[J]. Environmental Research, 2015, 139: 11-19. doi: 10.1016/j.envres.2014.12.029 pmid: 25682220

	季节	山区	绿洲	荒漠	全流域趋势
T_a/[℃·（10a）^-1]	年	0.154	0.216	0.282^*	0.217
	春季	0.149	0.267^*	0.344^**	0.257^*
	夏季	0.150	0.136	0.217	0.169
	秋季	0.174	0.127	0.194	0.129
	冬季	0.171	0.333^**	0.401^**	0.309^*
RH/[%·（10a）^-1]	年	-0.058	0.535^**	-0.207	0.201
	春季	0.012	0.066	-0.486^**	-0.085
	夏季	0.495^**	0.493^**	0.048	0.382^**
	秋季	-0.041	0.704^**	-0.269^*	0.274^*
	冬季	-0.721^**	0.764^**	-0.321^*	0.122

	季节	山区	绿洲	荒漠	全流域趋势
VPD/[kPa·（10a）^-1]	年	0.002	0.003	0.018	0.007
	春季	0.004	0.014	0.031	0.015
	夏季	-0.003	0.003	0.026	0.007
	秋季	0.005	-0.004	0.010	0.002
	冬季	0.003	0.001	0.007	0.003

	季节	山区	绿洲	荒漠	全流域趋势
es/[kPa·（10a）^-1]	年	0.009	0.018	0.027	0.018
	春季	0.008	0.024	0.034	0.023
	夏季	0.014	0.028	0.044	0.029
	秋季	0.010	0.011	0.017	0.012
	冬季	0.004	0.010	0.013	0.009
ea/[kPa·（10a）^-1]	年	0.007	0.015	0.009	0.011
	春季	0.004	0.010	0.004	0.007
	夏季	0.017	0.026	0.018	0.022
	秋季	0.005	0.015	0.008	0.010
	冬季	0.003	0.009	0.006	0.006

近60 a新疆开都-孔雀河流域大气饱和水汽压差变化特征及影响因子

Changes in atmospheric vapor pressure deficit in the Kaidu-Kongque River Basin and its influencing factors

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 33

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	黄坤琳, 吴国周, 徐维新, 李利东, 王海梅, 李航, 李自翔, 司荆柯, 刘洪宾, 吴成娜. 呼伦贝尔东部农田区动态融雪过程及其影响因子[J]. 干旱区研究, 2024, 41(9): 1514-1526.
[2]	吕彦勋, 赵洪民, 王小军, 王彬, 马仲武, 刘民兰, 张龄慧. 中国西北城市沙尘天气变化特征——以兰州为例[J]. 干旱区研究, 2024, 41(7): 1112-1119.
[3]	姚俊强. 新疆空中水资源和地表水资源变化特征研究[J]. 干旱区研究, 2024, 41(2): 181-190.
[4]	崔洋,王岱,高睿娜,安兴琴. 宁夏近60 a大气环境容量变化特征及其影响因子[J]. 干旱区研究, 2023, 40(6): 885-895.
[5]	闫豫疆, 李建贵, 李均力, 蒋腾. 面向生态系统服务供需的开都-孔雀河流域生态安全格局研究[J]. 干旱区研究, 2023, 40(5): 829-839.
[6]	李素雲, 祁栋林, 温婷婷, 史飞飞, 乔斌, 肖建设. 1961—2020年青海省饱和水汽压差变化特征及影响因子分析[J]. 干旱区研究, 2023, 40(2): 173-181.
[7]	满多清, 李得禄, 刘明成, 张德魁, 唐进年, 陈芳, 付贵全, 杨雪梅, 丁峰. 民勤西沙窝沙区不同演替阶段植被变化特征研究[J]. 干旱区研究, 2023, 40(12): 1949-1958.
[8]	王云鹏, 李红英, 姚玉璧, 李栋梁, 范琦玮, 刘香萍. 敦煌太阳总辐射多时间尺度变化特征及影响因素[J]. 干旱区研究, 2023, 40(12): 1885-1897.
[9]	赵蒙恩,闫庆武,刘政婷,王文铭,李桂娥,吴振华. 鄂尔多斯市土壤侵蚀时空演变及影响因子分析[J]. 干旱区研究, 2022, 39(6): 1819-1831.
[10]	王澄海,杨金涛,杨凯,张飞民,张晟宁,李课臣,杨毅. 过去近60 a黄河流域降水时空变化特征及未来30 a变化趋势[J]. 干旱区研究, 2022, 39(3): 708-722.
[11]	丁文魁,李兴宇,杨晓玲,马中华,李岩瑛. 气象干旱变化特征及其对粮食产量的影响——以甘肃武威市为例[J]. 干旱区研究, 2022, 39(2): 656-664.
[12]	吴霞,姜志伟,蒙荣,李云飞,孙晓涵. 河套平原太阳辐射变化特征及其与气象要素的相互影响[J]. 干旱区研究, 2022, 39(1): 41-53.
[13]	买买提阿布都拉·依米尔,阿依夏木古丽·买买提,沙依然·外力,陈天宇,布帕提曼·艾拜都拉,阿依夏木·买买提托合提,毛炜峄. 和田地区沙尘暴时间分布及变化特征[J]. 干旱区研究, 2021, 38(5): 1306-1317.
[14]	许志平,邵天杰,张连凯,邵明玉,牛俊杰. 黄土区不同土地利用类型下砂质壤土地表CO₂通量变化特征——以清凉寺沟流域为例[J]. 干旱区研究, 2021, 38(4): 1000-1009.
[15]	张晓龙, 沈冰, 黄领梅. 基于ITPCAS再分析资料中国近地面风速时空变化特征 [J]. 干旱区研究, 2020, 37(1): 1-9.