Tempo-spatial Variation Characteristics of Extreme Precipitation in Shanxi Province in Recent 60 Years

DONG Bogang; YU Yang

doi:10.13870/j.cnki.stbcxb.2022.01.019

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Tempo-spatial Variation Characteristics of Extreme Precipitation in Shanxi Province in Recent 60 Years

更新时间：2025-03-12

- Tempo-spatial Variation Characteristics of Extreme Precipitation in Shanxi Province in Recent 60 Years
- Vol. 36, Issue 1, Pages: 135-141(2022)
- 作者机构：
  
  1. 北京林业大学水土保持学院,北京,100083
  2. 山西吉县森林生态系统国家野外科学观测研究站,北京,100083
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2022.01.019
  CLC： P426.6
- Published：2022
- 稿件说明：
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DONG Bogang, YU Yang. Tempo-spatial Variation Characteristics of Extreme Precipitation in Shanxi Province in Recent 60 Years[J]. 2022, 36(1): 135-141.
DOI：

DONG Bogang, YU Yang. Tempo-spatial Variation Characteristics of Extreme Precipitation in Shanxi Province in Recent 60 Years[J]. 2022, 36(1): 135-141. DOI： 10.13870/j.cnki.stbcxb.2022.01.019.

摘要

气候变化背景下

极端降水事件发生频率与强度的增加直接影响区域生态安全

分析极端降水时空变化特征对于区域风险评估具有重要意义。基于山西省1960—2019年22个气象站点的逐日降水数据

选取12个极端降水指数

采用线性趋势分析、Mann-Kendall趋势检验与突变分析、Morlet小波分析和反距离权重插值等方法

对山西省近60年极端降水的时空变化特征进行研究。结果表明: (1)山西省整体呈干旱化趋势

降雨日数(R1MM)下降趋势显著; (2)部分极端降水指数在20世纪70年代前后发生突变

突变后呈显著下降趋势; (3)极端降水变化存在约17年的主要周期

部分极端降水指数还存在7~8

4~5年的周期变化; (4)山西省西南部整体呈干旱化趋势

西北部极端降水事件趋于增加。研究结果将为山西省极端降水事件的响应对策实施提供依据。

Abstract

Under the background of climate change

the increase of the frequency and intensity of extreme precipitation events directly affects regional ecological security. Analyzing the tempo-spatial variation characteristics of extreme precipitation is of great significance for regional risk assessment. Based on the daily precipitation data of 22 meteorological stations in Shanxi Province from 1960 to 2019

12 extreme precipitation indices were selected

the tempo-spatial variation characteristics of extreme precipitation in Shanxi Province during past 60 years were studied by using the methods of linear trend analysis

Mann-Kendall trend test

mutation analysis

Morlet wavelet analysis and Inverse Distance Weighted (IDW) interpolation. The results showed that: (1) A trend of drought was detected in Shanxi Province

and the number of rainfall days (R1MM) exhibited a significant downward trend. (2) Some extreme precipitation indices experienced a mutation around the 1970s

meanwhile

a significantly downward trend was detected after the mutation. (3) The variation of extreme precipitation had the main cycle of about 17 years

some indices had periodic changes around 7~8 years or 4~5 years. (4) The southwestern part of Shanxi Province showed a trend of drought

while the extreme precipitation events in northwestern part showed an increasing trend. The results of this study provided references for the implementation of countermeasures in response to extreme precipitation events in Shanxi Province.

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references

Overland J E, Wang M. Large-scale atmospheric circulation changes are associated with the recent loss of Arctic sea ice[J]. Tellus Series A-dynamic Meteorology and Oceanography, 2010, 62(1): 1-9.

Coumou D, Rahmstorf S. A decade of weather extremes[J]. Nature Climate Change, 2012, 2(7): 491-496.

Sun Q H, Zhang X B, Zwiers F W, et al. A global, continental, and regional analysis of changes in extreme precipitation[J]. Journal of Climate, 2021, 34(1): 243-258.

徐宗学, 刘琳, 杨晓静. 极端气候事件与旱涝灾害研究回顾与展望[J]. 中国防汛抗旱, 2017, 27(1): 66-74.

李双双, 杨赛霓, 刘宪锋. 1960-2013年秦岭—淮河南北极端降水时空变化特征及其影响因素[J]. 地理科学进展, 2015, 34(3): 354-363.

钱维宏, 符娇兰, 张玮玮, 等. 近40年中国平均气候与极值气候变化的概述[J]. 地球科学进展, 2007, 22(7): 673-684.

栗忠魁, 胡卓玮, 魏铼, 等. 1951—2013年华北地区极端降水事件的变化[J]. 遥感技术与应用, 2016, 31(4): 773-783.

贺振, 贺俊. 1960年—2012年黄河流域极端降水时空变化[J]. 资源科学, 2014, 36(3): 490-501.

李胜利, 巩在武, 石振彬. 近50年来山东省极端降水指数变化特征分析[J]. 水土保持研究, 2016, 23(4): 120-127.

龙妍妍, 范广洲, 段炼, 等. 中国近54年来夏季极端降水事件特征研究[J]. 气候与环境研究, 2016, 21(4): 429-438.

翟盘茂, 王萃萃, 李威. 极端降水事件变化的观测研究[J]. 气候变化研究进展, 2007, 3(3): 144-148.

张丽花, 延军平, 刘栎杉. 山西气候变化特征与旱涝灾害趋势判断[J]. 干旱区资源与环境, 2013, 27(5): 120-125.

李芬, 张建新, 张荣. 1958—2013年山西降水时空分布[J]. 中国沙漠, 2015, 35(5): 1301-1311.

戎晓庆, 庞奖励, 韩军青. 山西省1958—2012年旱涝灾害分布趋势及气候背景研究[J]. 干旱区资源与环境, 2018, 32(9): 97-102.

张祎玮, 李芬, 茅彧. 2019年山西省主要气候事件及其对农业的影响[J]. 现代农业科技, 2021(4): 178-180.

王改玲, 王青杵, 石生新. 晋北黄土区降雨特征及其对坡地土壤侵蚀的影响[J]. 水土保持学报, 2013, 27(1): 1-5.

曹永旺, 延军平. 1961—2013年山西省极端气候事件时空演变特征[J]. 资源科学, 2015, 37(10): 2086-2098.

任健美, 李盈盈, 尤莉, 等. 近53年山西极端温度和降水变化趋势分析[J]. 地理与地理信息科学, 2014, 30(2): 120-126.

李智才, 宋燕, 丁德平. 山西省主汛期极端降水变化特征[J]. 气候与环境研究, 2010, 15(4): 433-442.

王咏梅, 张红雨, 郭雪, 等. 山西省近48年高温和强降水极端事件变化特征[J]. 干旱区研究, 2012, 29(2): 289-295.

袁瑞强, 龙西亭, 王鹏, 等. 山西省降水量时空变化及预测[J]. 自然资源学报, 2015, 30(4): 651-663.

魏凤英. 现代气候统计诊断与预测技术[M]. 2版. 北京: 气象出版社, 2007.

张国宏, 郭慕萍, 赵海英. 近45年山西省降水变化特征[J]. 干旱区研究, 2008, 25(6): 858-862.

程诗悦, 秦伟, 郭乾坤, 等. 近50年我国极端降水时空变化特征综述[J]. 中国水土保持科学, 2019, 17(3): 155-161.

何红艳, 郭志华, 肖文发. 降水空间插值技术的研究进展[J]. 生态学杂志, 2005, 24(10): 1187-1191.

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