河南省引黄受水区极端降水时空演变及变异特征分析OA
Spatial-Temporal Evolution and Variation Characteristics of Extreme Precipitation in the Yellow River Water Receiving Area of Henan Province
为了解河南省引黄受水区极端降水演变规律,科学认识区域水旱灾害风险,为受水区水资源配置及防灾减灾提供科学依据,基于 1973-2022 年引黄受水区 20 个气象站的逐日降水数据,应用RClimDex模型计算 8 项极端降水指标,利用Mann-Kendall趋势检验、Morlet小波分析法及变异范围(RVA)法,对该区域极端降水指标的时空演变特征、周期变化规律及变异程度进行了系统分析.结果表明:年降水量等 7 项降水指标由西北向东南递增,持续干燥指数呈相反分布,西北部干旱风险较高;各指标无显著线性变化趋势,主要表现为年际强波动,2010 年突变后极值指标波动剧烈且极端降水突发性显著;研究期内存在 15~17 a的长周期演变特征,目前处于偏丰水期,未来短期内降水偏多且极端事件呈现频发趋势;极值指标变异程度显著高于总量指标,其中1d最大降水量是唯一达到中度变异等级的指标,区域气候风险主要源于单日极端强降水的突发性增强.
The aim of this study is to reveal the evolutionary patterns of extreme precipitation in the Yellow River Water Receiving Area of Henan Province,to scientifically understand the risks of flood and drought disasters at the regional scale,and to provide a scientific basis for water resources allocation and for disaster prevention and mitigation in the water receiving area.Based on daily precipitation data from 20 me-teorological stations during 1973-2022,eight extreme precipitation indices were calculated using the RClimDex model,and analyzed via the Mann-Kendall trend test,Morlet wavelet analysis,and Range of Variability Approach(RVA).This study systematically analyzed the spatio-temporal evolution characteristics,periodic variation patterns,and the degree of variability of extreme precipitation indices in the region.The results show that:Seven precipitation indices,including annual precipitation,increase from northwest to southeast,while the consecutive dry days index shows an opposite distribution,indicating a higher drought risk in the northwestern region.All indices exhibit no significant linear trends and are mainly characterized by strong interannual fluctuations,with extreme value indices fluctuating drastically and the suddenness of extreme precipitation becoming highly significant after the abrupt change in 2010.A long-period evolution characteristic of 15-17 years ex-ists during the study period.The region is currently in a relatively wet season,suggesting relatively high precipitation and a frequent trend of extreme events in the near future.The variation degrees of extreme value indices are significantly higher than those of total amount indices.Among them,the maximum 1-day precipitation is the only index reaching a moderate degree of variation,indicating that regional climate risks mainly stem from the enhanced suddenness of single-day extreme heavy precipitation.
张修宇;曹丹丹;张兴胜;李雨;田志锋
水利部黄河流域水治理与水安全重点实验室,河南 郑州 450003||华北水利水电大学 水资源学院,河南 郑州 450046华北水利水电大学 水资源学院,河南 郑州 450046新乡黄河河务局 长垣黄河河务局,河南 长垣 453400华北水利水电大学 水资源学院,河南 郑州 450046黄河勘测规划设计研究院有限公司,河南 郑州 450003
天文与地球科学
极端降水时空演变RClimDex模型RVA河南省引黄受水区
extreme precipitationspatial-temporal evolutionRClimDex modelRVAYellow River Water Receiving Area of Henan Province
《人民黄河》 2026 (4)
76-82,7
水利部黄河流域水治理与水安全重点实验室研究基金资助项目(2023-SYSJJ-04)河南省重点研发专项(261111321600)河南省科技研发计划联合基金资助项目(232103810102)水利部黄河泥沙重点实验室开放课题(HHNS202005)河南省重大公益科技专项(201300311500)
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