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1961—2016年江西不同量级暴雨的时空分布特征 被引量:2

Spatio-Temporal Variations of Rainstorms with Different Magnitudesin Jiangxi Province During 1961-2016
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摘要 利用江西省83个站点逐日降水资料,采用滑动平均、小波分析和Mann-Kendall检验等方法,分析了1961—2016年江西春季(3—5月)、汛期(5—7月)、秋季(9—11月)不同量级暴雨的时空分布特征。结果表明:不同量级的暴雨在不同季节的变化特征存在明显的差异,降水主要集中在汛期。暴雨量在春季和秋季变化趋势平稳,而汛期在1990年之前呈减少趋势,之后呈增加趋势;其空间分布均呈“南少北多、东多西少”特征;存在准30 a和准10 a两个变化周期。大暴雨量在春季和汛期呈“先下降、后上升”的趋势,空间分布较为平均。特大暴雨发生的概率很小,主要集中在汛期,其降水量变化趋势呈“先下降、后上升”特征,空间分布集中在赣北中部和赣中东部。 Based on the data of 83 stations in Jiangxi province,the spatio-temporal variations features of rainstorms with different intensities in spring(March to May),flood-season(May to July),autumn(September to November)was studied from 1961 to 2016 by moving average,means of wavelet analysis and Mann-Kendall mutuation.Results show that the rainstorms presented different features in different seasons,and there were also significant differences among rainstorms of different magnitudes,rainfall of all magnitudes is mainly concentrated in the flood season.Variations of rainstorms were stable in spring and autumn,but in flood season,rainstorms was decreasing before 1990 and then increasing;the spatial distribution also revealing characteristics of more in north and east but less in south and west;they also showed quasi-30-year and quasi-10-year periodic change.In the spring and the flood-season,the occurrence of heavy rainstorm displayed decreased first and then increased,more evenly distributed.The probability extraordinary rainstorm was vary small,and mainly concentrated in flood-season,they had been appearing decreased first and then increased,they mainly located in middle of north Jiangxi and eastern of central Jiangxi.
作者 张超美 黄彩婷 赵冠男 Zhang Chaomei;Huang Caiting;Zhao Guannan(Climate Center of Jiangxi Province,Nanchang 330096,China)
机构地区 江西省气候中心
出处 《气象与减灾研究》 2020年第4期249-255,共7页 Meteorology and Disaster Reduction Research
基金 江西省气象局重点项目“2019年7月景德镇两次低涡切变大暴雨过程对比分析”和“影响江西汛期的大气河水汽输送特征及其对暴雨的指示作用” 江西省气象局预报员专项“2018年汛期降水成因分析及预测技术总结”.
关键词 暴雨 时空分布 变化周期 江西 rainstorm temporal and spatial distribution variation period Jiangxi
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