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浙江省极端降水时空分布及其城市化效应特征研究OA

Spatial and Temporal Distribution of Extreme Precipitation in Zhejiang Province and Its Urbanization Effects

中文摘要英文摘要

该文基于浙江省1960-2020年67个国家级气象站点逐日降水数据,采用Mann-Kendall、PreWhitening Mann-Kendall及极点对称模态分解法,从强度、频率、持续性三维度剖析极端降水时空分布与趋势特征,并结合郊区-城市动态转变站点序列评估城市化影响.结果表明:①12项极端降水指数中11项呈上升趋势,仅CDD下降,PRCPTOT、R95p、R99p年增幅分别达3.93 mm、3.58 mm、2.06 mm;② 空间呈"北少南多、沿海与山区差异显著"格局,东南部沿海和西部山区为高值区,RX1d、R95p高值分别超117 mm、852 mm;③ESMD可有效提取长期趋势,与PWMK结合需警惕局部趋势反转,多数指数部分站点趋势显著,干旱日数减少、湿润日数增加,中高强度降水相关指标多增长;④RCU结果表明,城市化对降水量、降水强度均有增幅作用,R50 mm和R99p指数贡献率分别为111.9%、182.7%.

Against the backdrop of global climate change,extreme precipitation events have become increas-ingly frequent and intense,posing severe challenges to regional water security,ecological stability,and socio-economic development worldwide.Accelerated global warming has intensified the hydrological cycle,shorten-ing the recurrence period of extreme precipitation and increasing its intensity by 10%-20%,with China showing a polarized"southward increase and northward decrease"pattern.As a typical subtropical monsoon region on China's southeast coast,Zhejiang Province is highly vulnerable to extreme precipitation due to the combined ef-fects of atmospheric circulation,complex hilly topography,and rapid urbanization,making it a key area for study-ing regional extreme climate dynamics.However,existing studies on extreme precipitation in the region often focus on single-dimensional characteristics such as intensity or frequency and rely on static urban-suburban classi-fications to assess urbanization impacts,failing to fully capture the synergistic evolution of multi-dimensional fea-tures or precipitation's dynamic responses to urban expansion.To address this,this study systematically analyzed the spatiotemporal patterns,trend characteristics,and urbanization effects of extreme precipitation in Zhejiang Province from 1960 to 2020 using daily precipitation data from 67 national meteorological stations.It selected 12 extreme precipitation indices recommended by the Expert Team on Climate Change Detection and Indices,covering three dimensions:intensity,frequency,and persistence.Trend analyses were conducted using three com-plementary methods:Mann-Kendall,PreWhitening Mann-Kendall(to eliminate autocorrelation),and Extreme-Point Symmetric Mode Decomposition(to extract long-term trends).To more accurately quantify urbanization impacts,41 stations that transitioned from suburban to urban areas between 1990 and 2020 were dynamically classified based on 30m-resolution land cover data,with their precipitation trends compared before and after ur-banization to isolate natural variability.The results showed:①Over 61 years,11 of the 12 indices trended up-ward,with only consecutive dry days decreasing.Total precipitation,extreme precipitation above the 95th per-centile,and extreme heavy precipitation above the 99th percentile increased significantly by 3.93 mm/year,3.58 mm/year,and 2.06 mm/year respectively,indicating a surge in cumulative high-intensity rainfall.Consecu-tive wet days increased by 0.02 days/year,while consecutive dry days decreased by 0.09 days/year,reflecting en-hanced precipitation continuity.②Spatially,extreme precipitation showed a"less in the north,more in the south"pattern,with marked differences between coastal and mountainous areas.High-value zones for intensity indices(e.g.,maximum 1-day precipitation exceeding 117 mm,extreme precipitation above the 95th percentile exceeding 852 mm)concentrated in typhoon-influenced southeastern coastal regions and western mountainous areas affected by orographic lifting.③Trend tests revealed that Extreme-Point Symmetric Mode Decomposition effectively captured long-term trends,while PreWhitening Mann-Kendall improved assessment objectivity by re-ducing autocorrelation.However,combining the two risked local trend reversals,requiring method-specific inter-pretation.Most indices showed significant trends at specific stations,with fewer dry days,more wet days,and generally rising frequency,intensity,and total volume of moderate-to-high intensity precipitation.④Urbaniza-tion significantly amplified precipitation amount and intensity:its contribution rates to days with daily precipita-tion≥50 mm and extreme heavy precipitation above the 99th percentile reached 111.9%and 182.7%respective-ly,with post-1990 trends of these indices shifting from decreasing to increasing,directly reflecting the growing impact of urban expansion.This study's innovations include:integrating intensity-frequency-persistence dimen-sions to reveal the synergistic evolution of extreme precipitation;comparing multi-method trend tests to clarify their applicability and limitations;using dynamically transitioning urban-suburban stations to quantify urbaniza-tion impacts,avoiding biases from static classifications.The findings enhance understanding of regional extreme precipitation dynamics under climate change and urbanization,providing critical scientific support for flood disas-ter mitigation,urban planning optimization,and ecological hydrological regulation in Zhejiang Province and simi-lar monsoon-influenced coastal regions.

莫芷慧;方佳毅;钱俊辰;谢鹏;杨思茹;朱思颖;李颖;杨军;蒋梦非

杭州师范大学 遥感与地球科学研究院,浙江 杭州 311121杭州师范大学 遥感与地球科学研究院,浙江 杭州 311121||全省湿地智慧监测与生态修复重点实验室,浙江 杭州 311121杭州师范大学 遥感与地球科学研究院,浙江 杭州 311121杭州师范大学 遥感与地球科学研究院,浙江 杭州 311121杭州师范大学 遥感与地球科学研究院,浙江 杭州 311121杭州师范大学 遥感与地球科学研究院,浙江 杭州 311121浙江省气象科学研究院,浙江 杭州 310008浙江省气候中心,浙江 杭州 310002杭州市气象局,浙江 杭州 310051

资源环境

极端降水趋势对比时空分布城市化浙江省灾害风险

extreme precipitationtrend comparisonspatiotemporal distributionurbanizationZhejiang Provincedisaster risk

《灾害学》 2026 (2)

84-94,11

浙江省自然科学基金联合基金重点资助项目"基于多尺度下垫面特征的暴雨时空演变特征与灾损评估模型研究"(No.LZJMZ25D050006)教育部人文社会科学研究一般项目"面向洪涝韧性提升的沿海城市气候适应基础设施动态优化路径研究"(25YJCZH045)

10.3969/j.issn.1000-811X.2026.02.010

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