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干旱区地理 ›› 2023, Vol. 46 ›› Issue (12): 1951-1962.doi: 10.12118/j.issn.1000-6060.2023.153

• 气候与水文 • 上一篇    下一篇

新疆洪水预报预警中融雪径流模型应用进展

余其鹰1,2(),胡彩虹1,白云岗2(),卢震林2,曹彪2,刘富余2,刘成帅1   

  1. 1.郑州大学黄河实验室,河南 郑州 450001
    2.新疆水利水电科学研究院,新疆 乌鲁木齐 830049
  • 收稿日期:2023-04-07 修回日期:2023-04-25 出版日期:2023-12-25 发布日期:2024-01-05
  • 通讯作者: 白云岗(1974-),男,博士,教授级高级工程师,主要从事农业水土工程等方面研究. E-mail: xjbaiyg@sina.com
  • 作者简介:余其鹰(1994-),男,博士研究生,主要从事水文学及水资源方面研究. E-mail: 781832094@qq.com
  • 基金资助:
    新疆维吾尔自治区自然科学基金项目(2022D01A281);新疆水利科技专项(XSKJ-2023-13)

Application of snowmelt runoff model in flood forecasting and warning in Xinjiang

YU Qiying1,2(),HU Caihong1,BAI Yungang2(),LU Zhenlin2,CAO Biao2,LIU Fuyu2,LIU Chengshuai1   

  1. 1. Yellow River Laboratory, Zhengzhou University, Zhengzhou 450001, Henan, China
    2. Xinjiang Institute of Water Resources and Hydropower Research, Urumqi 830049, Xinjiang, China
  • Received:2023-04-07 Revised:2023-04-25 Online:2023-12-25 Published:2024-01-05

摘要:

针对全球变化背景下极端升温、暴雪和暖湿化现象以及中国新疆地区融雪洪水灾害风险增大问题,概述了新疆不同类型洪水灾害特征,重点阐述了近年发生频率增加、致灾性强、灾害风险增大,但在新疆未引起重视的融雪洪水的研究进展,对比分析了不同类型融雪径流模型特点和研究现状。综合目前融雪径流模型已有进展和面临的挑战,提出新疆未来研究需考虑融雪径流模型的物理机制和融雪消融过程,以提高预报预警精度。回顾了融雪洪水在新疆的预报预警技术,指出构建高精度预报预警融雪洪水模型所面临的风吹雪、冻土表层雪和雪面雨等关键问题,并提出提升新疆洪水模拟、预报预警、应对突发洪水的综合能力的关键技术,为提升新疆融水洪水预报预警技术提供思路与建议。

关键词: 融雪洪水, 融雪模型, 洪水预报, 新疆

Abstract:

This study examines various flood disaster types in Xinjiang, China, encompassing extreme temperature fluctuations, snowstorms, and warm, humid conditions attributed to global climate change. This study focuses on the underexplored issue of snowmelt floods, addressing their escalating frequency, severity, and associated disaster risk in Xinjiang. Using VOSviewer software, this study analyzes the research keywords and collaboration networks among different authors investigating snowmelt floods in Xinjiang. In addition, it scrutinizes the research priorities of scholars at various stages. A comparative analysis of the characteristics and research status of diverse snowmelt runoff models is presented. The study advocates for future research in Xinjiang to delve into the physical mechanisms and snowmelt processes integral to snowmelt runoff models, aiming to enhance prediction and warning accuracy. An assessment of the technologies employed for predicting and warning snowmelt floods in Xinjiang is conducted, highlighting pertinent issues such as wind-blown snow, frozen ground surface snow, and rain-on-snow. Furthermore, the study recommends key technologies to augment the overall capability of flood simulation, prediction, warning, and response to abrupt floods. It also explores strategies for optimizing the use of flood resources. In conclusion, this study furnishes recommendations for refining the prediction and warning technology pertinent to snowmelt floods in Xinjiang.

Key words: snowmelt flood, snowmelt model, flood forecast, Xinjiang