温江近60年极端降水的变化特征分析
Analysis on the Variation Characteristics of Extreme Precipitation in Wenjiang in the Recent 60 Years
摘要: 本文采用成都市温江站1960~2019年逐日降水量数据,采用百分位法计算得到极端降水量、极端降水日数、极端降水强度,利用线性倾向估计、累积距平等方法,对成都地区的极端降水事件进行了研究。结果表明:1) 极端降水量和极端降水日数呈波动下降趋势,但这种下降趋势并不显著。年际尺度上,极端降水量的变化趋势在1982年与2012年存在突变,极端降水日数的变化趋势在1973年与1997年存在突变。年代尺度上,二者的最高值均出现在60 s,最低值均出现在00 s。2) 近60 a极端降水强度呈现出波动变化,无线性趋势。年极端降水强度值在多年平均值线上下小幅波动,年代极端降水强度变化不大。
Abstract: Based on the daily precipitation data of Chengdu Wenjiang station from 1960 to 2019, the extreme precipitation, the number of days of extreme precipitation and the intensity of extreme precipitation are calculated by percentile method. The extreme precipitation events in Chengdu are studied by using linear trend estimation and cumulative anomaly. The results show that: 1) The extreme precipitation and extreme precipitation days show a fluctuating downward trend, but the downward trend is not significant. On the interannual scale, the variation trend of extreme precipitation was abrupt in 1982 and 2012, and the variation trend of extreme precipitation days was abrupt in 1973 and 1997. On the decade scale, the highest value of both appeared in 60 s and the lowest value appeared in 00 s. 2) In recent 60 years, the intensity of extreme precipitation showed a fluctuating change, without a linear trend. The annual extreme precipitation intensity fluctuates slightly above and below the multi-year average, but the annual extreme precipitation intensity changes little.
文章引用:张荣平, 肖国杰, 陈孟佳, 张妍, 张伟超. 温江近60年极端降水的变化特征分析[J]. 气候变化研究快报, 2021, 10(6): 699-705. https://doi.org/10.12677/CCRL.2021.106080

参考文献

[1] Pedersen, J., Santos, F.D., Vuuren, D.V., et al. (2021) An Assessment of the Performance of Scenarios against Histori-cal Global Emissions for IPCC Reports. Global Environmental Change, 66, Article ID: 102199. [Google Scholar] [CrossRef
[2] 沈永平, 王国亚. IPCC第一工作组第五次评估报告对全球气候变化认知的最新科学要点[J]. 冰川冻土, 2013, 35(5): 1068-1076.
[3] 张存杰, 黄大鹏, 刘昌义, 等. IPCC第五次评估报告气候变化对人类福祉影响的新认知[J]. 气候变化研究进展, 2014, 10(4): 246-250.
[4] 宋晓猛, 张建云, 占车生, 等. 气候变化和人类活动对水文循环影响研究进展[J]. 水利学报, 2013, 44(7): 779-790.
[5] 曾小艳, 陶建平. 气候变化背景下湖北省稻谷产量影响因素研究——基于湖北省78个县市面板数据的分析[J]. 华中农业大学学报(社会科学版), 2013(5): 74-78.
[6] 古力巴合热•赛力汗, 俞健. 新疆军塘湖河洪水成因分析[J]. 水利科技与经济, 2013, 19(8): 48-50.
[7] 冯庆元. 成都经济区空间相关与增长收敛分析[D]: [硕士学位论文]. 成都: 西南财经大学, 2014.
[8] 李荣波, 魏鹏, 纪昌明, 等. 雅砻江流域近60 a径流趋势特征分析[J]. 人民长江, 2017, 48(5): 38-42.
[9] Bonsal, B.R., Zhang, X.B., Vincent, L.A., et al. (2001) Characteristic of Daily and Extreme Temperature over Canada. Climate, 5, 1959-1976. [Google Scholar] [CrossRef
[10] Folland, C. and Anderson, C. (2002) Estimating Changing Extremes Using Empirical Ranking Methods. Climate, 15, 2954-2960. [Google Scholar] [CrossRef
[11] 魏凤英. 现代气候统计诊断与预测技术[M]. 北京: 气象出版社, 1999: 69-72.