CollectHomepage AdvertisementContact usMessage

Arid Land Geography ›› 2023, Vol. 46 ›› Issue (12): 1951-1962.doi: 10.12118/j.issn.1000-6060.2023.153

• Original article • Previous Articles     Next Articles

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

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