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三明市后山冲沟泥石流易发性评价及预报
引用本文:赵宾杰,叶龙珍,余斌,柳侃,吴钟腾,邓杰. 三明市后山冲沟泥石流易发性评价及预报[J]. 科学技术与工程, 2021, 21(14): 5719-5725. DOI: 10.3969/j.issn.1671-1815.2021.14.012
作者姓名:赵宾杰  叶龙珍  余斌  柳侃  吴钟腾  邓杰
作者单位:成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都610059;桂林航天工业学院能源与建筑环境学院,桂林541004;自然资源部丘陵山地地质灾害防治重点实验室,福州350002;成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都610059;三明市自然资源局,三明 365000
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:2019年5月15—17日和6月7—10日三明市区持续强降雨,其中5月16日24 h降雨量为50年一遇,受强降雨影响,市区东侧后山产生大量浅层滑坡,冲沟内松散固体物源增加,后山冲沟山洪暴发;若在100年一遇甚至200年一遇暴雨作用下,冲沟内产生的浅层滑坡数量及能够参与泥石流活动的松散固体物源量都将会大幅度提高,很可能暴发由浅层滑坡诱发的沟谷泥石流.根据直接指标评价法对三明市区后山20条冲沟的泥石流易发程度进行评价:除了碧桂园后山冲沟为不易发外,其余19条冲沟的泥石流易发程度均为轻度易发;通过19条轻度易发泥石流冲沟的地形数据和2019年5—6月两次降雨过程数据,对浅层滑坡诱发沟谷泥石流降雨预报模型进行验证,结果表明模型预报结果与实际相符;并利用该预报模型给出三明后山冲沟泥石流预报临界降雨值,为该区泥石流预测预报和监测预警指标选取提供参考.

关 键 词:浅层滑坡  泥石流  易发性评价  预报模型
收稿时间:2020-08-08
修稿时间:2021-01-20

Susceptibility assessment and prediction model of gully debris flow in Sanming Houshan
Zhao Binjie,Ye Longzhen,Yu Bin,Liu Kan,Wu Zhongteng,Deng Jie. Susceptibility assessment and prediction model of gully debris flow in Sanming Houshan[J]. Science Technology and Engineering, 2021, 21(14): 5719-5725. DOI: 10.3969/j.issn.1671-1815.2021.14.012
Authors:Zhao Binjie  Ye Longzhen  Yu Bin  Liu Kan  Wu Zhongteng  Deng Jie
Affiliation:Guilin University of Aerospace Technology
Abstract:Heavy rainfall continued in Sanming City from May 15-17, and June 7-10, 2019, and the 24-hour rainfall on May 16 was once in 50 years. Affected by the heavy rainfall, a large amount of shallow landslides was generated, loose solid sources increased , and flash floods occurred in the gully of urban houshan basin; if the rainstorm occurs once in 100 years or even 200 years, the number of shallow landslides and the amount of loose solid sources that can participate in debris flow activities will be greatly increased, and it is likely that debris flows caused by shallow landslides will occur. According to the direct index evaluation method,Debris flow susceptibility of 20 gullies was evaluated: except country garden gullies,the debris flow of the remaining 19 gullies is mildly susceptible; Verifying the prediction model of debris flow caused by shallow landslides through 19 gullies topographic data of mildly prone to debris flow and two rainfall process data from May to June 2019, the results show that the model prediction results are consistent with the actual; Using this prediction model, the critical rainfall values of the gully debris flows are given, which provides a reference for the prediction and monitoring of debris flow in this area.
Keywords:shallow landslide   debris flow   Susceptibility assessment   prediction model
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