| 摘要: |
| 利用1960—2019年遂宁市3个国家气象站的气象资料，运用线性趋势、M-K检验、小波分析、IDW空间插值等方法分析了遂宁市日照时数的时空变化特征，基于相关分析法找出其影响因子，结果表明：时间变化上，遂宁市日照时数的年、季节变化均呈现减少的趋势，且年变化减少趋势显著，夏季减少幅度为四季中最大，对全年日照时数减少的影响最明显，在1988年日照时数出现了突变，各月日照时数呈现单峰型特征，8月达到峰值；空间分布上，日照时数表现为“南少北多”的特征；日照时数有着明显的17~23 a的周期振荡；影响因子方面，日照时数与总云量和降水日数呈极显著负相关，与降水量呈显著负相关。 |
| 关键词: 日照时数；时空变化；小波分析；相关系数 |
| DOI： |
| 投稿时间：2021-01-29 |
| 基金项目:中国气象局气象干部培训学院教材建设项目（2020-教材-30）：高原山地典型气象灾害风险评估与区划；高原与盆地暴雨旱涝灾害四川省重点实验室项目（2018-重点-05-08）：四川省木竹类植物农业气象指标体系研究 |
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| Variation Characteristics and Influencing Factors of Sunshine Duration in Suining from 1960 to 2019 |
| ZHANG Ming,ZHANG Yujie,YANG Lixia,YANG Xue,SUN Jun |
| (Suining Meteorological Bureau of Sichuan Province, Suining 629000 , China ;Sichuan Province Key Laboratory of Heavy Rain, Drought and Flood Disasters in Plateau and Basin, Chengdu 610072 , China;Sichuan Branch of China Meteorological Administration Training Center, Chengdu 610072 , China) |
| Abstract: |
| Based on meteorological data during 1960 to 2019 of 3 national meteorological stations in the city of Suining, the variation characteristics of sunshine duration and the influencing factors are analyzed by using the linear trend, wavelet analysis, Mann-Kendall test, IDW spatial interpolation and correlation analysis methods. The results indicate that the annual and seasonal variation of sunshine duration in Suining showed a decreasing trend, and the annual variation showed a significant decreasing trend, with the decrease amplitude in summer being the largest in the four seasons, which greatly affects the decrease of annual sunshine duration. The year of 1988 was the time point of the abrupt reduction of sunshine duration. The sunshine duration of each month showed unimodal type, which peaked in August. The sunshine duration showed a spatial distribution characteristic of "less in the south and more in the north". The sunshine duration oscillates obviously on the time scale of 17— 23 years. In terms of influencing factors, the variation of sunshine duration was very significantly negatively correlated with total cloudage, precipitation days, and significantly negatively correlated with precipitation. |
| Key words: Sunshine duration；temporal and spatial variation；wavelet analysis；correlation coefficient |
