摘要
为了为了解河龙区间极端气温事件趋势变化和时空格局,基于河龙区间1960—2019年12个气象站点的14个极端气温指数,分析了河龙区间近60 a极端气温的时空变化特征,并采用小波相干分析剖析了14个极端气温指数和主要大气海洋环流模式(AO、WPSHI、EAWSM、APVI、MEI)在时间和频率域的相关关系。结果表明,14个极端气温指数中,SU、TX90P、TN90P、TNx和WSDI呈显著上升趋势,TR、TXx、TXn、TNn呈不显著上升趋势,而FD、ID、TX10P、TN10P、CSDI均呈显著下降趋势;1960 s或1980 s是冷性指数的高峰期,而2000 s或2010 s是暖性指数的高峰期。河龙区间东部、中部的极端气温事件发生频率和强度水平较高,西北部呈较低水平。冷指数中,FD、ID、TX10p、TN10p和CSDI与AO呈显著负相关,后4个指数与WPSHI呈显著负相关,ID、TX10P、TN10P与多元MEI指数MEI呈显著负相关,而它们与EAWSM和APVI呈不显著正相关;暖指数中,SU与WPSHI呈显著正相关,TN90p、WSDI与APVI呈显著负相关;极值指数中,TXn与AO呈显著正相关,TNx与APVI呈显著负相关。综合而言,极端气温指数与AO、WPSHI的相关性最为显著,与MEI、APVI的的相关性次之,与EASMI相关性弱。CSDI分别于2002—2013年、1970—2010年间提前于AO和WPSHI,WSDI在1962年左右略滞后于APVI,ID、TX10P和TN10P在2000 s滞后于MEI。
Based on 14 extreme temperature indices of 12 meteorological stations in Hekouzhen-Longmen Region from 1960 to 2019, the temporal and spatial variation characteristics of extreme temperature in Hekouzhen-Longmen Region during the past 60 years were analyzed. Meanwhile, the correlation between the 14 extreme temperature indices and the main atmospheric oceanic circulation patterns(AO, WPSHI, EAWSM, APVI, MEI) in time and frequency domains were analyzed using wavelet coherence analysis. The results showed that, among the 14 extreme temperature indices, SU, TX90P, TN90P, TNx and WSDI showed a significant increasing trend, TR, TXx, TXn and TNn showed no significant increasing trend, while FD, ID, TX10P, TN10P and CSDI showed a significant decreasing trend. 1960 s or 1980 s was the peak period of the cold indices, while 2000 s or 2010 s was the peak period of the warm indices. The frequency and intensity of extreme temperature events in the East and central parts of the Hekouzhen-Longmen Region were relatively high, while those in the Northwest were relatively low. In the cold indices, FD, ID, TX10p, TN10p and CSDI were significantly negatively correlated with AO, the last four indices were significantly negatively correlated with WPSHI, and ID, TX10P, TN10P were significantly negatively correlated with MEI, but they were not significantly positively correlated with EAWSM and APVI. In the warm indices, SU was positively correlated with WPSHI, while TN90p and WSDI were negatively correlated with APVI. In the extreme value indices, TXn was significantly positively correlated with AO, and TNx was significantly negatively correlated with APVI. In general, the extreme temperature indices had the most significant correlation with AO and WPSHI, followed by MEI and APVI, and weak correlation with EASMI. CSDI was ahead of AO and WPSHI in 2002—2013 and 1970—2010 respectively, WSDI was slightly behind APVI in 1962 or so, and ID, TX10P, TN10P lagged behind MEI in 2000 s.
作者
高文浩
黄艳平
李文栋
付金霞
李志
GAO Wenhao;HUANG Yanping;LI Wendong;FU Jinxia;LI Zhi(College of Natural Resources and Environment,Northwest A&F University,Yangling 712100,Shaanxi,China)
出处
《水利水电技术（中英文）》
北大核心
2022年第12期24-37,共14页
Water Resources and Hydropower Engineering
基金
国家自然科学基金项目(41807070,U2243210)
国家重点研发计划课题(2022YFF1300805)。
关键词
极端气温变化
河龙区间
大气海洋环流指数
极端气温
时空变化
水资源
干旱
气候变化
extreme temperature change
Hekouzhen-Longmen Region
extreme temperature indices
index of atmospheric and oceanic circulation
temporal and spatial changes
water resources
drought
climate change
