Assessment of Air Temperature Trends in the Source Region of Yellow River and Its Sub-Basins, China
Assessment of Air Temperature Trends in the Source Region of Yellow River and Its Sub-Basins, China
复制标题
中国黄河源区及其子流域气温趋势评估
DOI：
10.1007/s13143-017-0064-x
复制
发表时间：
2018-03
影响因子：
2.3
通讯作者：
Adnan Muhammad
中科院分区：
文献类型：
--
作者：
Iqbal Mudassar;Wen Jun;Wang Xin;Lan Yongchao;Tian Hui;Anjum Muhammad Naveed;Adnan Muhammad
在次流域尺度上（具有不同的土地覆盖特征）气候变量的变化对于在气候变化的背景下规划、开发和设计水资源基础设施至关重要。利用1965 - 2014年逐日气温资料，分析了黄河源区各子流域最高气温（Tmax）、最低气温（Tmin）、平均气温（Tavg）和气温日较差（DTR）的年际和季节变化特征。结果表明，SRYR的年Tmax、Tmin和Tavg分别以0.28、0.36和0.31°C（10年）−1的速率经历变暖趋势。与第一阶段（1965-1989年）相比，第二阶段（1990-2014年）观察到更多的绝对变化和增长趋势。除唐乃海（一个低海拔的子流域），这些增加的趋势和变化似乎更显着的其他流域的最高幅度在冬季。各子盆地中，黄河沿的增长趋势较其他子盆地更为明显。最大的Tmin上升幅度为1.24和1.18°C（10年）−1，分别出现在高海拔的吉麦和黄河岩子盆地，而最小的上升幅度为0.23°C（10年）− 1，出现在低海拔的唐乃海子盆地。唐乃海地区的高高差可能是Tmin震级上升幅度较小的主要原因。在过去十年中，所有温度变量的趋势幅度较小，表明该地区正在降温。总体而言，温度变量的变化有显着的空间和季节变化。这意味着，径流的季节变化可能会更大或不同的每个子流域。
Changes in climatic variables at the sub-basins scale (having different features of land cover) are crucial for planning, development and designing of water resources infrastructure in the context of climate change. Accordingly, to explore the features of climate changes in sub-basins of the Source Region of Yellow River (SRYR), absolute changes and trends of temperature variables, maximum temperature (Tmax), minimum temperature (Tmin), mean temperature (Tavg) and diurnal temperature range (DTR), were analyzed annually and seasonally by using daily observed air temperature dataset from 1965 to 2014. Results showed that annual Tmax, Tmin and Tavg for the SRYR were experiencing warming trends respectively at the rate of 0.28, 0.36 and 0.31°C (10 yr)−1. In comparison with the 1st period (1965-1989), more absolute changes and trends towards increasing were observed during the 2nd period (1990-2014). Apart from Tangnaihai (a low altitude sub-basin), these increasing trends and changes seemed more significant in other basins with highest magnitude during winter. Among sub-basins the increasing trends were more dominant in Huangheyan compared to other sub-basins. The largest increase magnitude of Tmin, 1.24 and 1.18°C (10 yr)−1, occurred in high altitude sub-basins Jimai and Huangheyan, respectively, while the smallest increase magnitude of 0.23°C (10 yr)−1occurred in a low altitude sub-basin Tangnaihai. The high elevation difference in Tangnaihai probably was the main reason for the less increase in the magnitude of Tmin. In the last decade, smaller magnitude of trend for all temperature variables signified the signal of cooling in the region. Overall, changes of temperature variables had significant spatial and seasonal variations. It implies that seasonal variations of runoff might be greater or different for each sub-basin.
登录
查看更多内容
影响因子：
4.9
作者：
Y. Lan;Guohui Zhao;Yaonan Zhang;J. Wen;Xinglin Hu;Jinqing Liu;Mingling Gu;Jun-Ming Chang
通讯作者：
Y. Lan;Guohui Zhao;Yaonan Zhang;J. Wen;Xinglin Hu;Jinqing Liu;Mingling Gu;Jun-Ming Chang
影响因子：
3.4
作者：
T. Mavromatis;Dimitrios Stathis
通讯作者：
T. Mavromatis;Dimitrios Stathis
影响因子：
3.2
作者：
S. Yue;P. Pilon;Bob Phinney;G. Cavadias
通讯作者：
S. Yue;P. Pilon;Bob Phinney;G. Cavadias
影响因子：
3.4
作者：
Qiang Zhang;Chong-yu Xu;Zeng-xin Zhang;G. Ren;Y. Chen
通讯作者：
Qiang Zhang;Chong-yu Xu;Zeng-xin Zhang;G. Ren;Y. Chen
影响因子：
4.3
作者：
M. Shadmani;S. Marofi;Majid Roknian
通讯作者：
M. Shadmani;S. Marofi;Majid Roknian