院报 ›› 2016, Vol. 33 ›› Issue (11): 127-132.DOI: 10.11988/ckyyb.20160686

• 水文水资源 • 上一篇    

云南省昭通市多尺度极端降水时空特征分析

李绅东   

  1. 云南省水文水资源局 昭通分局,云南 昭通 657000
  • 收稿日期:2016-07-07 修回日期:2016-11-08 出版日期:2016-11-20 发布日期:2016-11-08
  • 作者简介:李绅东(1964-),男,云南镇雄人,高级工程师,主要从事水文水资源研究与应用,(电话)13887065689(电子信箱)lshd789@126.com。

Spatialtemporal Distribution of Multiscale Extreme Precipitationin Zhaotong City, Yunnan Province

LI Shen-dong   

  1. Branch of Hydrology and Water Resources Bureau of Yunnan Province,Zhaotong 657000, China
  • Received:2016-07-07 Revised:2016-11-08 Online:2016-11-20 Published:2016-11-08

摘要:

为分析云南省昭通市多尺度极端降水时空特征,收集整理昭通市19个雨量站1969—2014年分时段逐年降水数据,并计算不同时间尺度(1,6,24 h)的年极端最大降水量,采用反距离加权法(IDW)插值展示其空间分布特性。在此基础上,对3个典型雨量站(鱼洞、新华、牛街)的极端最大降水进行深入分析,采用Mann-Kendall趋势检验及小波变换方法的趋势与周期分析,量化极端降水事件的时间分布特征。结果表明昭通地区极端降水事件的空间分布规律为从北向南逐渐减少,且南北极端降水量相差较大,空间分布差异明显;3个典型雨量站多尺度极端降水变化趋势不显著(p>0.05),其序列变化存在30,15,5~7 a 3个明显变化周期。

关键词: 极端降水, 时空特征, Mann-Kendall趋势检验, 小波变换, 昭通市

Abstract:

In this paper, the spatial and temporal distribution of extreme precipitation in different time scales(1 h, 6 h, 24 h) in Zhaotong, Yunnan Province were analyzed based on the data from 19 meteorological stations during 1969-2014. The Mann-Kendall trend test and wavelet transform were used to analyze the period and trend characters of three typical stations (Yudong, Xinhua, and Niujie). Then the Inversed Distance Weight method was used to interpolate the point data into the area. The results show that the trend of extreme precipitation from three typical stations is not obvious (p>0.05). The periods for these three typical stations are 30 a, 15 a and 5-7 a,respectively. The spatial distribution of the extreme precipitation differs greatly from north to south, which is larger in the North and smaller in the South.

Key words: extreme precipitation, spatial and temporal distribution, MannKendall trend test, wavelet transform, Zhaotong City

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