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基于GLDAS-2数据的中国极端降水事件时空变异性研究
引用本文:尚天赦,王 飞,,戈文艳,.基于GLDAS-2数据的中国极端降水事件时空变异性研究[J].水土保持研究,2023,30(1):248-255.
作者姓名:尚天赦  王 飞    戈文艳  
作者单位:(1.西北农林科技大学 水土保持研究所, 陕西 杨凌 712100; 2.中国科学院 水利部 水土保持研究所, 陕西 杨凌 712100)
基金项目:国家自然科学基金面上项目“黄土高原刺槐林地根系挤压对土壤物理性状的影响”(42177344),“次降雨特征与植被变化对半干旱黄土区土壤水分补充的协同影响”(41771558);
摘    要:全球气候变化导致极端降水事件频发,为了做好应对极端事件的准备,利用GLDAS-2.0数据集进行可靠性分析后,提取9个极端降水指标,使用M-K检验方法分析了1948—2014年中国极端降水事件时空变化特征及其突变趋势。结果表明:全国发生极端降水事件的频率增高,西北、西南和中南地区的年降水量增强趋势明显,连续湿润天数变少,强降水变多,其中西北地区变化最为明显;西北地区中西部,中南与西北、华东的两个交界范围,极端降水相关指标突变趋势明显。结果显示西北地区中西部,西南和中南交界地区以及中南和华东交界地区发生极端降水的频率高,应提前做好应对各种自然灾害的准备。

关 键 词:极端降水事件  GLDAS  M-K趋势分析  空间分布

Research on the Spatiotemporal Variability of Extreme Precipitation Events in China Based on GLDAS-2 Data
SHANG Tianshe,WANG Fei,,GE Wenyan,.Research on the Spatiotemporal Variability of Extreme Precipitation Events in China Based on GLDAS-2 Data[J].Research of Soil and Water Conservation,2023,30(1):248-255.
Authors:SHANG Tianshe  WANG Fei    GE Wenyan  
Institution:(1.Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi 712100, China; 2.Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China)
Abstract:Global climate change leads to frequent occurrences of extreme precipitation events. In order to prepare for countermeasure to extreme events, 9 extreme precipitation indicators were extracted based on reliability analysis using the GLDAS-2.0 data set, and the M-K test was used to analyze the traits of the extreme precipitation in China from 1948 to 2014. The results show that the frequency of extreme precipitation events over the country had been increasing, and the apparent increases in the amounts of precipitation were observed in annual precipitation in the northwest, southwest and central and southern regions, and changes in the consecutive wet days and heavy precipitation showed that the consecutive wet days in northwest China decreased significantly while the heavy precipitation increased; in the border of central and western China, central and southern China, northwest and east China, extreme precipitation indicators were obviously abrupt. With respect to the high frequency of extreme precipitation in the central and western regions of northwest China, the junction of southwest and central south and the junction of central south and east China, preparations for combating various natural disasters should be made in advance.
Keywords:extreme precipitation events  GLDAS  M-K trend analysis  spatial distribution
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