raybet体育在线 院报 ›› 2025, Vol. 42 ›› Issue (6): 44-50.DOI: 10.11988/ckyyb.20240374

• 水资源 • 上一篇    下一篇

1981—2020年高黎贡山南段极端降水特性及演变趋势

陈文华1(), 张宁2(), 冯春红2, 赵伟华3, 杨敏2   

  1. 1 保山学院 资源环境学院,云南 保山 678000
    2 云南省水文水资源局 保山分局,云南 保山 678000
    3 raybet体育在线 流域水环境研究所,武汉 430010
  • 收稿日期:2024-04-11 修回日期:2024-06-11 出版日期:2025-06-01 发布日期:2025-06-01
  • 通信作者:
    张 宁(1980-),男,河南正阳人,高级工程师,硕士,主要从事水文水资源分析评价研究。E-mail:
  • 作者简介:

    陈文华(1982-),男,云南腾冲人,副教授,博士,主要从事3S技术应用及气候变化生物学研究。E-mail:

  • 基金资助:
    怒江下游山地农业生态系统云南省野外科学观测研究站项目(202305AM340031)

Characteristics and Evolution Trends of Extreme Precipitation in Southern Gaoligong Mountain from 1981 to 2020

CHEN Wen-hua1(), ZHANG Ning2(), FENG Chun-hong2, ZHAO Wei-hua3, YANG Min2   

  1. 1 School of Resources and Environmental Science,Baoshan University,Baoshan 678000,China
    2 BaoshanBranch,Yunnan Hydrology and Water Resources Bureau,Baoshan 678000,China
    3 Basin Water EnvironmentalResearch Department, Changjiang River Scientific Research Institute, Wuhan 430010, China
  • Received:2024-04-11 Revised:2024-06-11 Published:2025-06-01 Online:2025-06-01

摘要:

为揭示高黎贡山南段极端降水时空变化特征及其与强ENSO事件的关系,基于1981—2020年区域8个站点的日降水数据,采用创新趋势分析(ITA)、线性回归分析(LR)以及复合分析等方法,以海温异常指数(DMI、ONI)为支持,选取5个极端降水指数(EPI)进行分析。结果显示:除最大连续干旱日数(CDD)显著增加外,大部分极端降水指标呈减少趋势,预示该地区存在干旱加剧的总体趋势,其中,东坡、西坡湿日总降水量(PTOT)减少幅度分别为39.9、46.1 mm/(10 a);最大连续干旱日数(CDD)增加幅度分别为3.9、0.7 d/(10 a);区域极端降水与大洋尼诺指数ONI存在弱到中等程度的关联,该关系主要表现为负相关,即ONI为正位相时,雨季降水更倾向为偏少(偏干)状态;在大尺度驱动因素的季节关联上,西、东坡流域略有差异。对前期和同期季节尺度ONI的跟踪将有助于对本地区极端降水变化作出预估。

关键词: 极端降水, 演变趋势, 创新趋势分析, 线性回归分析, 复合分析, ONI, 关联, 高黎贡山

Abstract:

[Objectives] To reveal the spatiotemporal characteristics of extreme precipitation from 1981 to 2020 in the southern Gaoligong Mountain(S-GLG) and explore its relationship with strong ENSO events, this study analyses the trends of five extreme precipitation indices (EPIs) and their responses to large-scale sea surface temperature anomalies, such as the Oceanic Niño Index (ONI) and the Dipole Mode Index (DMI), providing a scientific basis for regional drought risk assessment and water resource management. [Methods] Using daily precipitation data from 8 meteorological stations, this study selected five EPIs: total wet-day precipitation (PTOT), maximum consecutive dry days (CDD), maximum 1-day precipitation (RX1day), number of heavy precipitation days (R10mm), and extreme precipitation intensity (SDII). Innovative trend analysis (ITA) and linear regression (LR) were used to analyze long-term trends, and composite analysis was employed to examine the impact of ENSO events (represented by ONI and DMI) on extreme precipitation. Seasonal-scale correlation analysis was conducted to distinguish the response differences between the western and eastern slopes. [Results] The results showed that except for a significant increase in CDD (3.9 d/(10 a) on the western slope and 0.7 d/(10 a) on the eastern slope), other EPIs exhibited decreasing trends, with PTOT decreasing most significantly (39.9 mm/(10 a) on the western slope and 46.1 mm/(10 a) on the eastern slope), indicating an intensifying drought risk in the region. ENSO correlations revealed weak to moderate negative relationships between extreme precipitation and ONI (p<0.1). During positive ONI phases (El Niño-like conditions), there was a higher probability of reduced precipitation during the rainy season. Additionally, the influence of DMI showed phase-dependent negative correlations, but with lower statistical significance. Regional seasonal differences were evident. The western slope showed a stronger negative correlation between rainy-season PTOT and CWD and simultaneous ONI during summer and autumn (r=-0.46 to -0.52), while the eastern slope exhibited a more pronounced lagged response of corresponding indices to ONI in the previous autumn and winter (r=-0.33 to -0.38), potentially indicating that topography may modulate the transmission of ENSO signals across the region. [Conclusions] The southern Gaoligong Mountain is experiencing a “drying” trend in extreme precipitation, with ENSO events (especially ONI) serving as key driving factors. Innovative findings include: (1) the first quantitative demonstration of seasonal response differences to ENSO between the western and eastern slopes, providing key parameters for improving local climate models; and (2) the proposal that early-stage ONI tracking may serve as a potential indicator for regional extreme precipitation prediction. These research findings provide important guidance for developing climate adaptation strategies in the region of Hengduan Mountains.

Key words: extreme precipitation, evolution trends, innovative trend analysis, linear regression analysis, composite analysis, ONI, correlation, Gaoligong Mountain

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