Progress and Issues on Key Technologies in Forecasting of Snowmelt Flood Disaster in Arid Areas, Northwest China

  • Rensheng CHEN ,
  • Yongping SHEN ,
  • Weiyi MAO ,
  • Shiqiang ZHANG ,
  • Haishen Lü ,
  • Yongqiang LIU ,
  • Zhangwen LIU ,
  • Shifeng FANG ,
  • Wei ZHANG ,
  • Chunyan CHEN ,
  • Chuntan HAN ,
  • Junfeng LIU ,
  • Qiudong ZHAO ,
  • Xiaohua HAO ,
  • Ruqi LI ,
  • Yan QIN ,
  • Weidong HUANG ,
  • Chengxian ZHAO ,
  • Shufeng WANG
Expand
  • 1.Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
    2.Institute of Desert Meteorology,China Meteorological Administration,Urumqi 830000,China
    3.Northwest University,Xi'an 710127,China
    4.Hohai University,Nanjing 210098,China
    5.Xinjiang University,Urumqi 830046,China
    6.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
    7.Xinjiang Meteorological Observatory,Urumqi 830002,China
    8.Hydrology and Water Resources Bureau of Gansu Province,Lanzhou 730000,China
    9.Xinjiang Irtysh River Basin Development and Construction Management Bureau,Urumqi 830000,China
    10.Altay Hydrological Survey Bureau,Altay Xinjiang 836300,China
CHEN Rensheng (1974-), male, Yishui County, Shandong Province, Professor. Research areas include alpine hydrology. E-mail:crs2008@lzb.ac.cn

Received date: 2021-01-20

  Revised date: 2021-02-20

  Online published: 2021-04-30

Supported by

the National Key Research and Development Program of China “Research and demonstration on key technologies of monitoring, forecasting, prevention and control of snowmelt flood disaster in arid areas”(2019YFC1510500);The National Natural Science Foundation of China “Study on the service function of cryosphere water resources”(41690141)

Abstract

Under the global warming, the extreme warming process, heavy snowfall and Rain-On-Snow event occur more frequently, resulting in more frequent snowmelt floods, and the rain, snow and ice mixed floods. Therefore, the projection, prediction, forecasting and early warning of the flood disasters are urgently needed in the arid regions of northwest China. According to the present research progress on key technologies of snowmelt flood disaster forecasting, it is necessary to reveal the mechanism of flood disasters, develop the monitoring and early warning device of snowmelt flood disasters, and then construct the three-dimensional monitoring system in arid areas. Based on the in situ, remote observation and involved research results, a hydrological model should be developed to accurately simulate the rain, snow and ice mixed floods. Therefore, an Intelligent Decision Support System (IDSS) should be constructed to demonstrate the flood submerged areas, evaluate the risk of the flood disasters and give the best solutions in the arid regions of northwest China.

Cite this article

Rensheng CHEN , Yongping SHEN , Weiyi MAO , Shiqiang ZHANG , Haishen Lü , Yongqiang LIU , Zhangwen LIU , Shifeng FANG , Wei ZHANG , Chunyan CHEN , Chuntan HAN , Junfeng LIU , Qiudong ZHAO , Xiaohua HAO , Ruqi LI , Yan QIN , Weidong HUANG , Chengxian ZHAO , Shufeng WANG . Progress and Issues on Key Technologies in Forecasting of Snowmelt Flood Disaster in Arid Areas, Northwest China[J]. Advances in Earth Science, 2021 , 36(3) : 233 -244 . DOI: 10.11867/j.issn.1001-8166.2021.025

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