周慧^1,2,,
章新平^1,2,,,
姚天次^1,2,
罗紫东^1,2,
华明权^1,2,
孙惠惠^1,2
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

基金项目: 国家自然科学基金项目（批准号：41571021）和湖南省重点学科建设项目（批准号：20160001）共同资助


详细信息

作者简介: 周慧, 女, 23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: K878;P92

收稿日期:2017-06-29
修回日期:2017-10-22
刊出日期:2018-03-30

δ¹⁸O in precipitation and water vapor transfer in the summer half year in China

Zhou Hui^1,2,,
Zhang Xinping^1,2,,,
Yao Tianci^1,2,
Luo Zidong^1,2,
Hua Mingquan^1,2,
Sun Huihui^1,2
1. College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, Hunan
2. Key Laboratory of Geospatial Big Data Mining and Application, Hunan Province, Hunan Normal University, Changsha 410081, Hunan


More Information

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

MSC: K878;P92

--> Received Date: 29 June 2017
Revised Date: 22 October 2017
Publish Date: 30 March 2018


摘要
摘要:利用GNIP提供的我国32个站1961~2015年暖半年（4~9月）逐月降水中δ¹⁸O、NOAA提供的NCEP/NCAR月平均再分析资料以及实测的月降水量（P）数据，分析了各站点的P、降水中δ¹⁸O分别与我国暖半年4条水汽通道的水汽输送强度（Q）之间的相关关系，并对6个代表站δ¹⁸O与其所在格点不同风向的水汽输送比例之间的关系进行了讨论和比较。结果表明，与台站降水量相比，降水中δ¹⁸O可以更加明确地指示影响该站点的水汽通道和水汽输送的变化。δ¹⁸O与西南通道Q-具有显著相关性的站点数最多，达18个，占总站点数的56.3%，这些站点主要位于华北、长江沿线及其以南地区；受东南通道影响的站点集中分布于长江以南地区；有5个站点的δ¹⁸O与西北通道Q的相关关系通过了0.05的信度检验；与南海通道Q密切相关的站点数最少，仅有4个。不同来向的水汽输送对站点降水中δ¹⁸O的影响差异显著，平均而言，西风水汽输送比例每增加1%，拉萨站δ¹⁸O值将增加0.22‰，增幅高于昆明站的0.10‰和武汉站的0.09‰。南风水汽输送比例每增加1%，武汉、拉萨站的δ¹⁸O值分别降低0.15‰和0.16‰，降幅均高于昆明站的0.09‰。天津和福州站降水中δ¹⁸O分别仅与南风、东风水汽输送比例的关系最为密切，相关系数分别为-0.57和-0.58。兰州站δ¹⁸O与经（纬）向的水汽输送比例之间均不存在显著相关性。
关键词: 暖半年(4~9月)/
降水/
氧稳定同位素/
水汽通道/
水汽输送

Abstract:Based on the monthly δ¹⁸O in precipitation provided by GNIP at 32 stations, the monthly mean reanalysis dataset from NCEP/NCAR offered by NOAA, as well as the monthly precipitation data observed at corresponding stations in the summer half year(from April to September)during 1961~2015 in China, this study analyzes the correlations between the precipitation amount, the δ¹⁸O in precipitation at every station and the intensity of water vapor transfer (Q) from 4 vapor inflow corridors in the summer half year in China, discusses and compares the relationships between δ¹⁸O at 6 representative stations and the proportions of water vapor transfer of different wind directions at corresponding grid. The results suggest that δ¹⁸O value in precipitation can explicitly indicate the changes of vapor inflow corridors and the water vapor transfer compared with the precipitation amount in stations. In particular, the number of stations which have significant correlations between δ¹⁸O and Q of southwest corridor are the most with 18 stations in total, which account for 56.3% of all stations. These stations mainly centralize in north China, along the Changjiang River and areas south of it. The stations controlled by southeast corridor are largely in areas south of the Changjiang River. There are 5 stations whose correlations between δ¹⁸O and Q of northwest corridor pass the reliability testing by 0.05. Only 4 stations that their δ¹⁸O in precipitation are closely related to the Q of South China Sea corridor. The water vapor transfer of different direction has distinct impact on the δ¹⁸O value in precipitation. On average, there will be 0.22‰ increase in δ¹⁸O per 1% increase in the proportions of west wind water vapor transfer at Lhasa Station, which is higher than Kunming Station(0.10‰)and Wuhan Station(0.09‰). While each 1% increase in the proportions of south wind water vapor transfer, there will be 0.15‰ decrease at Wuhan Station and 0.16‰ at Lhasa Station in δ¹⁸O, respectively, both of them are higher than Kunming Station(0.09‰). The δ¹⁸O in precipitation at Tianjin and Fuzhou stations are merely closely related to the proportions of south and east wind water vapor transfer, the correlation coefficients are -0.57 and -0.58, respectively. Whereas it is absent of statistically significant correlation between δ¹⁸O and the proportions of meridional or zonal water vapor transfer at Lanzhou Station.
Key words:summer half year(from April to September)/
precipitation/
oxygen stable isotopes/
vapor inflow corridor/
water vapor transfer



PDF全文下载地址:

http://www.dsjyj.com.cn/data/article/export-pdf?id=dsjyj_11453