1. 北京师范大学环境演变与自然灾害教育部重点实验室,北京,100875
2.
3. 安徽师范大学地理与旅游学院,安徽,芜湖,241002
4. 安徽省水利部淮河水利委员会水利科学研究院∥水利水资源安徽省重点实验室,安徽,蚌埠,233000
纸质出版日期:2019,
网络出版日期:2019-1-25,
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孙玉燕, 孙鹏, 姚蕊, 等. 1961-2014年淮河流域极端气温时空特征及区域响应[J]. 中山大学学报(自然科学版)(中英文), 2019,58(1):1-11.
SUN Yuyan, SUN Peng, YAO Rui, et al. Variations and regional responses of extreme temperature events in the Huaihe River basin in China during 1961-2014[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 2019,58(1):1-11.
孙玉燕, 孙鹏, 姚蕊, 等. 1961-2014年淮河流域极端气温时空特征及区域响应[J]. 中山大学学报(自然科学版)(中英文), 2019,58(1):1-11. DOI: 10.13471/j.cnki.acta.snus.2019.01.001.
SUN Yuyan, SUN Peng, YAO Rui, et al. Variations and regional responses of extreme temperature events in the Huaihe River basin in China during 1961-2014[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 2019,58(1):1-11. DOI: 10.13471/j.cnki.acta.snus.2019.01.001.
基于淮河流域气温日数据和趋势性、相关性等方法,全面分析淮河流域极端气温时空变化特征和流域气温变化对全球气候变化的区域响应。研究表明:① 最低气温极高值与最低气温极低值呈大范围显著上升趋势,最大增幅为0.4 ℃/10a及1.3 ℃/10a。东南部城市化高引起的热岛效应是极端暖指数在淮河流域东南部呈显著上升趋势的主要原因;② 极端冷指数呈下降趋势,除IDO和CID,淮河流域绝大部分地区其他极端冷指数呈显著下降趋势,气候变暖延长了淮河流域作物生长季;③ 淮河流域极端冷指数变化幅度大于极端暖指数,夜指数大于昼指数;东部地区极端气温指数变化幅度和显著性检验通过率均大于西部地区,且东南部的极端暖指数增幅是最大的;突变发生时间上,极端冷指数早于极端暖指数约10a;多数极端气温指数变化趋势与经纬度、海拔显著相关。
Based on daily temperature (maximum
minimum and average) data of 153 meteorological stations
the spatial and temporal characteristics of extreme temperature events in the Huaihe River basin from 1961 to 2014 are analyzed from the perspective of trend and correlation
using statistical methods to calculate 26 extreme temperature indices. The regional response of climate change in the basin is further discussed by comparing with other regional temperature changes. The results are as follows: (1) The maximum
T
max
and minimum
T
min
rise by a wide range of significant trend
the largest increase was 0.4 ℃ / 10a and 1.3 ℃ / 10a. Warm night days
summer days
hot wave spell duration indicator
and others in the Huaihe River basin as a whole are on the rise. The warm evenings with hot night index showed a trend of wide range increases significantly
with an increase of 6.3 d/10a and 7.1 d/10a. (2) Cold days
cold nights
frost days
icing days
cold spell duration indicator
cold wave spell duration indicator and frost spell duration indicator have significantly decreased by -2.3
-6.8
-10.0
-2.5
-10.0
-7.3
-4.3 d/10a
respectively. (3) The diurnal temperature range in the Huaihe River basin is decreasing in general. The growing season length shows statistically significant increasing trends at rates of 7.6 d/10a
while the temperature index in the growing season length is slightly lower. (4) The extreme temperature indices of the Huaihe River basin have obvious differences in variation range
spatial distribution
time of mutation occurrence and correlation. In terms of change amplitude
the extreme cold index is greater than the extreme warmth index
and the night index is greater than the day index. On spatial distribution
the variation amplitude of these indices and significance test pass rate are greater in eastern region than in western region
and the increase of extreme warm indices in the southeast of the Huaihe River basin is far greater than in other areas. And extreme cold index mutations occur earlier than warm about 10 a. The most extreme temperature indices are correlated with the longitude
latitude and altitude. Particularly
the trend of main extreme temperature indices of the Huaihe River basin is consistent with regional and global scales.
极端气温指数SEN趋势估计法Mann-Kendall法区域响应淮河流域
extreme temperature indicessen slope methodMann-Kendall testregional responsesHuaihe River Basin
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