Journal of Arid Meteorology ›› 2021, Vol. 39 ›› Issue (3): 486-493.

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Risk Distribution Characteristics of Rainstorm and Flood Disaster Based on Flood Area Model in the Xiaoma River Basin of Xingtai

ZHAO Zhinan1, WANG Lirong2, WANG Congmei1, HAN Xiaoqing3   

  1. 1. Xingtai Meteorological Bureau of Hebei Province, Xingtai 054000, Hebei, China;
    2. Meteorological Disaster Prevention Center of Hebei Province, Shijiazhuang 050021, China;
    3. Land and Resource Using and Planning Institute of Hebei Province, Shijiazhuang 050051, China
  • Online:2021-06-30 Published:2021-07-16

基于Flood Area模型的邢台市小马河流域暴雨洪涝灾害风险分布特征


  1. 1.河北省邢台市气象局,河北邢台054000;2.河北省气象灾害防御中心,

Abstract: Based on the precipitation data of 26 automatic stations during 2014-2019 in the Xiaoma river basin and 7 national meteorological stations during 1980-2019 around the basin, the area rainfall under different return periods in the basin was calculated by using Tyson polygon method and MuDFiT software. The submerged areas under different return periods were simulated by Flood Area model and the inundation range map have been drawn on the same time. Based on this composited disasterbearing data, the damage information of various disasterbearing bodies can be obtained. The heavy rainfall process from 19 to 20 July 2016 was selected to verify the risk distribution characteristics of onceinacentury rainstorm and flood disaster, the results were basically consistent with the simulated flooding range. The study showed that with the recurrence period and submergence depth increasing, the deeper submergence area extended to the middle and lower reaches of the basin and the lower elevation. The forest land was seriously damaged with the highest damage rate when the submerged depth was between 0.1 m and 0.3 m or more than 1.0 m, when the submerged depth was less than 0.1 m, the impact on forest land was smaller and the damage rate was the lowest. Other disasterbearing bodies had the highest damage rate under 0.1 m submergence depth, the damage rate was in the middle level when the submerged depth was more than 1.0 m, when the submerged depth was from 0.5 m to 1.0 m, the damage rate was lowest.

Key words: rainstorm and flood, the Xiaoma river basin, Flood Area model, inundation simulation

摘要: 利用邢台市小马河流域26个区域站2014—2019年及周边7个国家站1980—2019年的逐日降水资料,基于泰森多边形法和MuDFiT软件计算不同重现期面雨量。运行Flood Area模型对该流域不同重现期下的淹没范围进行模拟,基于此叠加承灾体数据,得到各承灾体受损率。为验证模拟结果的准确性,选取2016年7月19—20日强降雨过程对百年一遇暴雨洪涝灾害风险分布特征进行验证,结果与模拟淹没范围基本一致。研究表明随着重现期不断增大,洪水逐渐向中下游地区推进,淹没范围不断扩大加深。当淹没深度在0.1~0.3 m及1.0 m以上时,林地受损率最高,淹没深度小于0.1 m时,林地受损率最低。人口、GDP、城镇用地、耕地、草地等其他承灾体淹没深度在0.1 m以下时受损率最高,在0.1~0.3 m时受损率次之,在1.0 m以上时受损率居中,在0.3~0.5 m时受损率较低,淹没深度位于0.5~1.0 m时受损率最低。

关键词: 暴雨洪涝, 小马河流域, Flood Area模型, 淹没模拟