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冰川冻土 ›› 2021, Vol. 43 ›› Issue (4): 1049-1059.doi: 10.7522/j.issn.1000-0240.2021.0070

• 冰冻圈与全球变化 • 上一篇    下一篇

1979—2017年雅鲁藏布江流域雪深时空分布特征及其影响因素分析

谭秋阳1,2(), 程磊3, 徐宗学1,2(), 赵彦军4,5, 刘江涛1,2, 刘晓婉1,2   

  1. 1.北京师范大学 水科学研究院,北京 100875
    2.城市水循环与海绵城市技术北京市重点实验室,北京 100875
    3.武汉大学 水资源与 水电工程科学国家重点实验室,湖北 武汉 430072
    4.中国科学院 地理科学与资源研究所 陆地水循环及 地表过程重点实验室,北京 100101
    5.中国科学院大学,北京 100049
  • 收稿日期:2020-01-08 修回日期:2020-06-05 出版日期:2021-08-31 发布日期:2021-09-09
  • 通讯作者: 徐宗学 E-mail:tanqiuyang@mail.bnu.edu.cn;zxxu@bnu.edu.cn
  • 作者简介:谭秋阳,硕士研究生,主要从事气候变化及其对水循环影响研究. E-mail: tanqiuyang@mail.bnu.edu.cn
  • 基金资助:
    国家自然科学基金重点项目(91647202)

Spatiotemporal distribution of snow cover depth and its driving factors in the Yarlung Zangbo River basin, 1979—2017

Qiuyang TAN1,2(), Lei CHENG3, Zongxue XU1,2(), Yanjun ZHAO4,5, Jiangtao LIU1,2, Xiaowan LIU1,2   

  1. 1.College of Water Sciences,Beijing Normal University,Beijing 100875,China
    2.Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology,Beijing 100875,China
    3.State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072,China
    4.Key Laboratory of Water Cycle and Related Land Surface Processes,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
    5.University of Chinese Academy of Sciences,Beijing 100049,China
  • Received:2020-01-08 Revised:2020-06-05 Online:2021-08-31 Published:2021-09-09
  • Contact: Zongxue XU E-mail:tanqiuyang@mail.bnu.edu.cn;zxxu@bnu.edu.cn

摘要:

积雪是水文过程的重要环节,基于1979—2017年中国雪深长时间序列数据集、中国区域地面气象要素数据集提供的降水和气温数据,结合DEM数字高程模型等,运用Mann-Kendall检验法、Sen氏坡度法、Pearson相关分析法,分析了雅鲁藏布江流域雪深时空变化分布特征,并对雪深与气象因子(气温、降水)和地形因子(高程、坡度、坡向)的相关性进行了分析。结果表明:1979—2017年雅江流域多年平均雪深为1.95 cm,且以0.02 cm·a-1的速率呈现显著减少趋势;雪深空间分布特征差异性明显,呈现“二高二低”相间分布的特征,高值区为流域西部边缘和东部的山地区域,低值区为中游河谷、流域出口低谷区;气象因子对雪深的变化起决定性作用,其中年平均气温与雪深的相关系数数值为-0.63,二者相关性显著;雪深呈现出随着高程的增加而增加的变化趋势,但最大雪深并非出现在最高海拔处;雪深随坡度的变化呈现“减少—增加—减少”三段式分布规律,且东坡和南坡的雪深厚度高于西坡和北坡的雪深厚度。

关键词: 雅鲁藏布江, 雪深, 气象, 地形, 时空分布

Abstract:

Snow cover is an important part of the hydrological process. Based on long-term snow cover depth data set of China, as well as the regional surface meteorological element data from the China Meteorological Data Set (1979—2017), combined with DEM digital elevation model, the spatiotemporal distribution of snow cover depth in the Yarlung Zangbo River basin from 1979 to 2017, as well as the correlation between snow cover depth and meteorological factors (temperature, precipitation), and the correlation between snow cover depth and terrain factors (elevation, slope and aspect) are analyzed by using Mann-Kendall trend test, Sen’s slope estimator and Pearson correlation analysis method. The results show: (1) from 1979 to 2017, the annual average snow cover depth in the Yarlung Zangbo River basin was 1.95 cm, with a decreasing rate of 0.02 cm·a-1; (2) the spatial difference of snow cover depth was obvious, showing a characteristic of "two peaks and two valleys"; the large value area located in the western edge and the eastern mountainous area of the basin, and the small value appeared in the middle valley and the outlet valley; (3) meteorological factor played a decisive role to the variation of snow cover depth; the correlation coefficient between annual average temperature and snow cover depth was -0.63, quite significantly; (4) the snow cover depth increased with elevation, but the maximum snow cover depth did not appeared at the highest elevation; (5) with slope changing, the snow cover depth presented a three-step distribution, i.e., “decrease-increase-decrease”, and the snow cover depth on the east slopes and the south slopes were greater than that on the west slopes and the north slopes.

Key words: Yarlung Zangbo River, snow cover depth, meteorology, terrain, spatiotemporal distribution

中图分类号: 

  • P426.63+5