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哈密市巴里坤县暖季降水特征分析
Analysis of Precipitation Characteristics in the Warm Season in Barkol County, Hami City

DOI: 10.12677/ccrl.2025.144064, PP. 648-654

Keywords: 暖季降水,降水日数,降水量
Warm-Season Precipitation
, Precipitation Days, Precipitation Amount

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Abstract:

根据哈密市巴里坤县1961~2024年暖季(5~9月)降水资料,运用线性回归法、F检验法和Mann-Kendall非参数化统计检验方法对暖季降水进行分析,得出巴里坤暖季降水特征,结果表明:(1) 巴里坤县暖季降水日数年际变化呈减少趋势,小雨日数占比最多,暴雨日数占比最少;(2) 月降水日数呈单峰性变化,7月降水日数最多,9月降水日数最少;(3) 暖季降水量平均为168.8 mm,年际变化和各月降水量均呈增加趋势;(4) 暖季最长连续降水日数7月出现最多,最长连续无降水日数9月出现最多。
Based on precipitation data from May to September (warm season) during 1961~2024 in Barkol County, Hami City, this study analyzes warm-season precipitation characteristics using linear regression, F-test, and Mann-Kendall non-parametric statistical methods. The results indicate: (1) The interannual variation of warm-season precipitation days in Barkol County shows a decreasing trend, with light rain days accounting for the highest proportion and heavy rain days the lowest. (2) Monthly precipitation days exhibit a unimodal pattern, with the highest number of precipitation days in July and the lowest in September. (3) The average warm-season precipitation amount is 168.8 mm, with increasing trends observed in both interannual and monthly precipitation. (4) The longest consecutive precipitation days occur most frequently in July, while the longest consecutive non-precipitation days are most common in September.

References

[1]  韩宁, 苗春生. 近6年陕甘宁三省5-9月短时强降水统计特征[J]. 应用气象学报, 2012, 23(6): 691-701.
[2]  曹瑜, 游庆龙, 马茜蓉. 青藏高原中东部夏季极端降水年代际变化特征[J]. 气象科学, 2019, 39(4): 437-445.
[3]  杨金虎, 江志红, 王鹏祥, 等. 中国年极端降水事件的时空分布特征[J]. 气候与环境研究, 2008, 13(1): 75-83.
[4]  张爱英, 高霞, 任国玉. 华北中部近45A极端降水事件变化特征[J]. 干旱气象, 2008, 26(4): 46-50.
[5]  董伟, 刘海峰, 朱玉祥. 吉林省夏季极端降水事件特征分析[J]. 自然灾害学报, 2012, 21(4): 69-75.
[6]  王艳君, 刘俸霞, 翟建青, 等. 全球升温1.5℃与2.0℃目标下长江流域极端降水的变化特征[J]. 气象科学, 2019, 39(4): 540-547.
[7]  罗玉, 范广洲, 周定文, 等. 西南地区极端降水变化趋势[J]. 气象科学, 2015, 35(5): 581-586.
[8]  陈春艳, 王建捷, 唐冶, 等. 新疆夏季降水日变化特征[J]. 应用气象学报, 2017, 28(1): 71-85.
[9]  丁亚磊, 姬兴杰, 刘美, 等. 小时和日值降水数据对河南省暴雨日数和暴雨日变化特征的影响[J]. 气象科学, 2023, 43(1): 69-79.
[10]  杨歆雨, 张容焱, 徐翃, 等. 福建年极端降水风险概率评估[J]. 应用气象学报, 2025, 36(1): 53-65.

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