临沧市近64a气候变化特征分析
Analysis of Climate Change Characteristics in Lincang City during the Last 64 Years
DOI: 10.12677/ccrl.2025.146118, PDF,    科研立项经费支持
作者: 杨宏庆, 杨忠良:临沧市气象局气象灾害防御技术中心,云南 临沧;高 雨*:云南省气象台系统保障科,云南 昆明
关键词: 临沧市Mann-Kendall突变检验回归方法变化特征突变Lincang City Mann-Kandall Test Variation Characteristics Regression Analysis Abrupt Chang
摘要: 为探究中缅边境复杂山地地形区域气候变化特征,利用1961~2024年临沧市8个国家气象站的气温、降水资料,采用Mann-Kendall突变检验和分段回归方法,分析了临沧市近64a气温和降水变化特征。结果表明:(1) 年平均气温以0.22℃∙(10a)1的速率显著升高并在2004年发生显著突变,突变后升温速率进一步加剧。(2) 年平均最高气温以0.21℃∙(10a)1速率平稳升温,秋季最敏感;年平均最低气温以 0.32℃∙(10a)1的速率显著升高,突变特征普遍存在且秋冬季贡献突出。(3) 年降水量以−27.93 mm∙(10a)1的速率显著减少,在2015年发生显著突变,由夏秋季主导,突变后速率骤增至−329.33 mm∙(10a)1。(4) 年降雨日数以−7.66 d∙(10a)1的速率显著减少,夏季则显著增加(1.98 d∙(10a)1),降雨日数的减少主要由春、秋、冬的下降趋势所主导。临沧市近64a整体呈现气温显著升高、降雨量和降雨日数显著减少的气候变化特征。
Abstract: To investigate the characteristics of climate change in the complex mountainous terrain along the China-Myanmar border, this study utilized temperature and precipitation data (1961~2024) from eight national meteorological stations in Lincang City. The Mann-Kendall test and piecewise regression analysis were employed to analyze the variation characteristics of temperature and precipitation over the recent 64-year period. The results show that: (1) The annual mean temperature increased significantly at a rate of 0.22˚C/decade, with a notable abrupt change occurring in 2004, after which the warming rate intensified. (2) The annual mean maximum temperature increased steadily at 0.21˚C∙decade1, most markedly in autumn, while the annual mean minimum temperature rose at a higher rate of 0.32˚C/decade, with widespread abrupt changes predominantly in autumn and winter. (3) Annual precipitation exhibited a significant decreasing trend at −27.93 mm/decade, with an abrupt change in 2015 largely driven by reductions in summer and autumn, followed by a sharp decline at −329.33 mm/decade. (4) The annual number of rainy days decreased by −7.66 days/decade, despite a summer increase of 1.98 days/decade. Seasonal reductions in spring, autumn, and winter primarily contributed to this trend. Overall, Lincang has experienced pronounced warming coupled with significant declines in both precipitation and rainy days over the study period.
文章引用:杨宏庆, 高雨, 杨忠良. 临沧市近64a气候变化特征分析[J]. 气候变化研究快报, 2025, 14(6): 1184-1194. https://doi.org/10.12677/ccrl.2025.146118

参考文献

[1] 卢玢宇, 裴占江, 史风梅, 等. 黑龙江省近30年气候变化特征分析[J]. 黑龙江农业科学, 2019(5): 19-26.
[2] IPCC (2013) Summary for Policy Makers of the Synthesis Report of the IPCC Fifth Assessment Report. Cambridge University Press.
[3] 高启慧, 秦圆圆, 梁媚聪, 等. IPCC第六次评估报告综合报告解读及对我国的建议[J]. 环境保护, 2023, 51(Z2): 82-84.
[4] 中国气象局气候变化中心. 中国气候变化蓝皮书[M]. 北京: 科学出版社, 2021: 11-12.
[5] 王蕾, 张百超, 石英, 等. IPCC第六次评估报告关于气候变化影响和风险主要结论的解读[J]. 气候变化研究进展, 2022, 18(4): 389-394.
[6] 任国玉, 郭军, 徐铭志, 等. 近50年中国地面气候变化基本特征[J]. 气象学报, 2005, 63(6): 942-955.
[7] 段旭, 陶云. 云南近50年来的气候变化[J]. 热带气象学报, 2012, 28(2): 243-250.
[8] 符传博, 吴涧, 丹利. 近50年云南省雨日及降水量的气候变化[J]. 高原气象, 2011, 30(4): 1027-1033
[9] 何萍, 李宏波, 黄惠. 1960-2009年云南高原楚雄市气候年代际变化特征及城市气候分析[J]. 地理科学进展, 2011, 30(1): 65-72.
[10] 刘翔卿, 王雷, 刘阳, 等. 1951-2010年云贵高原大理和丽江气温、降水的气候特征分析[J]. 气候与环境研究, 2018. 23(5): 513-523.
[11] 姚愚, 李蕊, 郑建萌, 等. 1961-2017年云南季节变化特征分析[J]. 气象科学, 2020, 40(6): 849-858.
[12] 解明恩, 姚愚, 段玮, 等. 低纬高原气候季节变化特征研究——以云南昆明大理为例[J]. 热带气象学报, 2023, 39(2): 171-182.
[13] 方鹏, 曾妮, 苟杨, 等. 1984-2023年贵州省0cm地温的时空变化特征分析[J]. 山地气象学报, 2025, 49(1): 52-57.
[14] 魏凤英. 现代气候统计诊断与预测技术[M]. 北京: 气象出版社, 2007.
[15] 张应华. 水文气象序列趋势分析与变异诊断的方法及其对比[J]. 干旱区地理, 2015, 38(4): 10-23.
[16] 马莲, 卢素锦, 司剑华, 等. 黄河源区1961-2017降水序列趋势及突变识别[J]. 四川农业大学学报, 2019, 37(6): 842-851.