湖北农业科学 ›› 2020, Vol. 59 ›› Issue (10): 32-37.doi: 10.14088/j.cnki.issn0439-8114.2020.10.007

• 资源·环境 • 上一篇    下一篇

基于SPI的旱涝气候演变及对洪湖水位的影响分析

邓艳君1, 周守华1, 杨超2, 夏智宏1, 刘凯文1   

  1. 1.湖北省荆州市气象局,湖北 荆州 434020;
    2.中国科学院测量与地球物理研究所,武汉 430077
  • 收稿日期:2019-09-16 出版日期:2020-05-25 发布日期:2020-08-03
  • 通讯作者: 周守华(1961-),男,湖北荆州人,高级工程师,主要从事农业气象研究。
  • 作者简介:邓艳君(1988-),女,湖北荆州人,工程师,硕士,主要从事3S技术与气象应用研究,(电话)13697300790(电子信箱)570517642@qq.com。
  • 基金资助:
    湖北省气象局科技课题(2019J07)

Analysis of drought and flood change based on standard precipitation index(SPI) and its impact on lake water level of Honghu lake

DENG Yan-jun1, ZHOU Shou-hua1, YANG Chao2, XIA Zhi-hong1, LIU Kai-wen1   

  1. 1. Jingzhou Meteorological Service,Jingzhou 434020,Hubei,China;
    2. Institutes of Geodesy and Geophysics,Chinese Academy of Sciences,Wuhan 430077,China
  • Received:2019-09-16 Online:2020-05-25 Published:2020-08-03

摘要: 利用洪湖市气象站逐月降水数据和洪湖水位站水位资料,计算不同时间尺度标准化降水指数(SPI)及其干旱等级,分析洪湖市旱涝气候演变及不同时间尺度旱涝气候事件演变特征,探讨降水量、不同时间尺度SPI与洪湖水位的相关性。结果表明,洪湖市近62年来干旱年和洪涝年频次和等级均相差较小,不同季节旱涝变化及等级频次分布存在一定差异,洪湖市呈湿润化演变趋势,SPI以0.086/10年的速率弱增长,春、秋季SPI呈下降趋势,干旱略加剧,夏、冬季SPI呈增长趋势,洪涝加剧;洪湖水位与降水变化趋势一致,但时间上有所滞后,洪湖水位与SPI具有较好的相关性,相关程度因SPI的时间尺度存在一定差异,其中SPI3与水位相关性最好,利用3个月时间尺度的SPI3来监测洪湖水位变化,两者具有很好的一致性,可以采用SPI3指数监测洪湖水位。

关键词: 旱涝, SPI, 洪湖, 水位

Abstract: Based on the monthly precipitation data from Honghu meteorological station and water level data from Honghu lake, variables time-scale standard precipitation index(SPI) was calculated. Using SPI, the changes of drought-flood and the temporal characteristics of drought-flood events were analyzed in Honghu lake. The correlation among precipitation, various time-scale SPI and water lever were investigated. The results showed that the frequency and grade of the drought and flood events in Honghu lake in the past 62 years were approximate on the annual scale, little difference on seasonal scale. There was a wetting trend in Honghu, and annual SPI decreased with an average rate of 0.086/10a. SPI declined in spring and autumn, and slightly intensified in drought; SPI increased in summer and winter, and increased in flood and waterlogging. The variability between the water level and the precipitation data was consistent, but the water level later than the precipitation data three months. Variables time-scale SPIand water level were significant correlation. The 3 month scale SPI3 was most closely correlated with water level of Honghu lake. The 3 month scale SPI3 agrees well with the variability of the water level. SPI3 can be used to monitor the water level of Honghu lake.

Key words: drought and flood, standard precipitation index(SPI), Honghu lake, water level

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