周慧^1,,
章新平^1,2,,,
姚天次³,
华明权¹,
王学界¹
1. 湖南师范大学资源与环境科学学院, 湖南 长沙 410081
2. 湖南师范大学, 地理空间大数据挖掘与应用湖南省重点实验室, 湖南 长沙 410081
3. 中国科学院地理科学与资源研究所, 中国科学院陆地水循环及地表过程重点实验室, 北京 100101

基金项目: 国家自然科学基金项目（批准号：41571021）和湖南师范大学一流学科建设项目（批准号：810006）共同资助


详细信息

作者简介: 周慧, 女, 24岁, 硕士研究生, 自然地理学专业, E-mail:zhxy940602@163.com

通讯作者: 章新平, E-mail:zxp@hunnu.edu.cn

中图分类号: P426.6;P597⁺.2;P534.63⁺2

收稿日期:2018-07-20
修回日期:2018-10-29
刊出日期:2019-03-30

Analysis on the responses of precipitation δ¹⁸O to upstream rainout in Changsha

Zhou Hui^1,,
Zhang Xinping^1,2,,,
Yao Tianci³,
Hua Mingquan¹,
Wang Xuejie¹
1. College of Resources and Environmental Science, Hunan Normal University, Changsha 410081, Hunan
2. Key Laboratory of Geospatial Big Data Mining and Application, Hunan Province, Hunan Normal University, Changsha 410081, Hunan
3. Key Laboratory of Water Cycle and Related Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101


More Information

Corresponding author: Zhang Xinping,E-mail:zxp@hunnu.edu.cn

MSC: P426.6;P597⁺.2;P534.63⁺2

--> Received Date: 20 July 2018
Revised Date: 29 October 2018
Publish Date: 30 March 2019


摘要
摘要:利用长沙站2010~2016年的日降水δ¹⁸O实测数据，对不同时间尺度下降水中δ¹⁸O的变化特征及其与局地温度和降水量、水汽输送、水汽输送上游地区的对流活动和降水量的关系进行了分析，旨在了解不同水汽来源以及水汽输送上游地区的降水过程对站点降水稳定同位素组成的影响，深化对长沙地区降水稳定同位素变化规律的认识。结果表明：在日时间尺度下，δ¹⁸O变化在-18.07‰~4.50‰，δ¹⁸O呈左偏分布，且较正态分布更集中；在月时间尺度下，δ¹⁸O变化在-13.10‰~-1.32‰，且呈现出冬、春季值高于夏、秋季值的季节分布。无论是在日尺度还是在月尺度下，δ¹⁸O与局地降水量之间都不存在显著且稳定的反相关关系。与"局地效应"相比，长沙降水中δ¹⁸O的变化能敏感地响应上游关键区降水量的变化。日尺度下δ¹⁸O与上游关键区前期区域平均降水量之间的最大相关系数暖半年（4~9月）变化在-0.79~-0.63之间，均通过0.001的信度检验；冷半年（10月~翌年3月）变化在-0.79~-0.44之间，除2012年外，其余也都通过0.001的信度检验。月尺度下δ¹⁸O与同期上游关键区区域平均降水量之间的相关系数暖半年为-0.75，冷半年为-0.57，均超过0.001的信度。说明局地降水中δ¹⁸O的变化存在"上游效应"，且上游关键区的降水对下游地区降水稳定同位素组成的影响较"局地效应"显著。
关键词: 长沙/
降水中δ¹⁸O/
上游降水/
对流活动/
水汽输送

Abstract:Based on the daily precipitation δ¹⁸O from January 2010 to December 2016 at Changsha station (25°15'N, 112°33'E), we analyzed the variation characteristics of precipitation δ¹⁸O at different timescales and their relationships with local surface air temperature, precipitation amount and upstream rainout. Our aims were to elucidate the variations of the stable isotopes of precipitation in Changsha, and specifically to determine the impacts of changes in moisture sources and upstream rainout processes. The results showed that, δ¹⁸O varied from -18.07 ‰ to 4.50 ‰ at the daily scale, with a negative skew. δ¹⁸O exhibited a pronounced seasonal pattern of variation, ranging from -13.10 ‰ to -1.32 ‰ at the monthly scale, with higher δ¹⁸O in winter and spring and lower values in summer and autumn. There were no statistically significant and stable negative correlations between δ¹⁸O and local precipitation amount on either the daily or monthly scales; however, changes in δ¹⁸O in Changsha responded sensitively to the variation of precipitation amount in the key upstream area along air mass trajectories. Year-to-year, the strongest negative lagged correlations (r)between δ¹⁸O and the preceding average precipitation amount over the Indian Peninsula and the Bay of the Bengal (Zone1)varied from -0.79 to -0.63 (all significant at the 0.001 level)in the warm half-year (from April to September)of 2010~2016. However, in the cold half-year (from October to the following March), the key area switched to regions including most of Yunnan, Guizhou and Guangxi provinces and their surrounding areas (Zone2); the corresponding r values varied from -0.79 to -0.44, which are all significant at the 0.001 level, except for the year 2012. At the monthly scale, the correlation coefficients between precipitation-weighted monthly mean δ¹⁸O and average precipitation amount in the key upstream area were -0.75 and -0.57 between 2010 and 2016 in the warm half-year and cold half-year, respectively (both significant at the 0.001 level). Overall, our results emphasize the crucial role of the upstream effect in explaining the variations of the stable isotopes in precipitation in Changsha.
Key words:Changsha/
stable oxygen isotope/
upstream rainout/
convective activity/
moisture transport



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