1965-2013年黄土高原地区极端气温趋势变化及空间差异  

Trend variations and spatial difference of extreme air temperature events in the Loess Plateau from 1965 to 2013

作　　者：赵安周[1] 刘宪锋[2,3] 朱秀芳[2,3] 潘耀忠[2,3] 赵玉玲[1] 王冬利[1] 

机构地区：[1]河北工程大学资源学院,邯郸056038 [2]北京师范大学地表过程与资源生态国家重点实验室,北京100875 [3]北京师范大学资源学院,北京100875

出　　处：《地理研究》2016年第4期639-652,共14页Geographical Research

基　　金：国家"高分辨率对地观测系统"重大专项(民用部分);河北工程大学博士专项基金(20120157);邯郸市科学技术研究与发展计划项目(1434201078);邯郸市科技局项目(1423109059-6)

摘　　要：基于黄土高原地区52个气象站点逐日平均气温、最高和最低气温数据,采用一元线性趋势分析、相关分析等方法,分析该地区极端气温趋势变化及空间差异。结果表明:1日最高(低)气温极低值、日最高(低)气温极高值、热夜日数、暖昼(夜)日数、热持续日数、夏季日数和生物生长季日数呈增加的趋势,其余极端气温指数呈减小的趋势。2空间分布上,表征低温事件的冰冻日数、霜冻日数、冷昼(夜)日数和冷持续日数下降最显著的区域位于黄土高原北部;表征高温事件的热夜日数、夏季日数、暖昼(夜)日数和热持续日数上升最显著的区域主要位于黄土高原西北部;生物生长季日数上升最显著的区域主要位于黄土高原中部地区。3相关分析表明除了极值指数和气温日较差与其余极端气温指数相关性较差外,其余各极端气温指数之间均具有较好的相关性。4多数极端气温指数的变化趋势与平均气温关系密切,平均气温突变前后极端气温指数存在明显差异。5 Hurst指数结果表明黄土高原地区极端气温变化均呈同向变化特征。Based on daily temperature（average, maximum, and minimum） data from 52 meteorological stations, this study analyzed the spatiotemporal variation of 16 extreme air temperature events in the Loess Plateau from 1965 to 2013, using the methods of linear regression, Mann-Kendall test, correlation analysis, and Hurst index. The results are as follows：（1） From the view of temporal variation, the occurrence of ice days（ID0）, frost days（FD0）,cold days（TX10p）, cold nights（TN10p）, as well as the cold spell duration indicator（CSDI）and diurnal temperature range（DTR）, indicated statistically significant decreasing trends（P 〈0.05）. In particular TX10 p clearly decreased（4.63d/10 a, P 〈 0.001）, while the occurrence of tropical nights（TR20）, summer days（SU25）, warm days（TX90p）, warm nights（TN90p）,warm spell duration days（WSDI）, and growing season length（GSL） had significantly increasing trends（P 〈 0.05）, of which TX90 p had an especially clear increase（5.68d/10 a, P 〈0.001）. The monthly minimum value of daily maximum temperature（TXn）, monthly minimum value of daily minimum temperature（TNn）, monthly maximum value of daily maximum temperature（TXx）, and monthly maximum value of daily minimum temperature（TNx） showed increasing trends of 0.30°C/10 a, 0.40°C/10 a, 0.20°C/10 a, and 0.30°C/10 a, respectively;（2） In terms of spatial distribution, the extreme warm indices（TR20, SU25, TX90 p, TN90 p, and GSL） indicated that extremely high temperatures had the most significant increasing trends in the north Loess Plateau region, and the cold indices（ID0, FD0, TX10 p, TN10 p, and CSDI）indicated that extremely low temperatures had the most significant decreasing trends in the northwest Loess Plateau region. GSL increased most significantly in areas located in the central Loess Plateau region;（3） Pearson correlation indicated that all the extreme air temperature indices had good correlation, except for the extremal indices（TXn

关 键 词：极端气温指数 趋势变化 空间差异 黄土高原地区 

分 类 号：P423.3[天文地球—大气科学及气象学]