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文家沟泥石流治理工程效果的定量分析评价
  • ISSN号:1004-9665
  • 期刊名称:《工程地质学报》
  • 时间:0
  • 分类:P642.23[天文地球—工程地质学;天文地球—地质矿产勘探;天文地球—地质学]
  • 作者机构:[1]地质灾害防治与地质环境保护国家重点实验室(成都理工大学),成都610059, [2]爱荷华大学智能系统研究实验室,美国爱荷华州爱荷华城52242, [3]成都理工大学外国语学院,成都610059
  • 相关基金:高等学校博士学科点专项科研基金(20135122130002);国家自然科学基金创新研究群体科学基金(41521002);国家杰出青年科学基金(41225011)资助
中文摘要:

汶川地震后文家沟频繁暴发泥石流,给当地居民带了巨大的财产损失并造成了人员伤亡。为了防范泥石流带来的危害,文家沟治理工程采用了"上游水砂分离、中游固底护坡、下游拦挡停淤"的总体思路并完成治理。在治理工程经历了5个雨季的考验之后,本文基于生存分析模型以及Bootstrap方法和ELM,从定量研究的角度对治理工程的效果进行分析评价。生存分析模型结果表明治理前生存概率降低至0%时,治理后仍为55.6%;治理后暴发泥石流的最大小时降雨量为治理前的2.571倍,降雨总量为治理前的1.232倍,降雨历时为治理前的5.435倍;模型结果体现了治理工程泥石流防范的重要作用。Bootstrap方法以及ELM模型结果表明,在假设没有治理工程情况下,2011~2015年的10次降雨事件暴发泥石流概率为100%,远高于真实情况的30%;且预测的泥石流冲出量远远大于真实的冲出量;模型结果体现了治理工程防灾减灾的重要性。

英文摘要:

After Wenchuan Earthquake in China, debris flows as a kind of geohazard occur frequently in Wenjia Gully. The debris flows have already cost millions of property and casualty losses to the local community. For the purpose of preventing debris flows, geological engineering treatments have been implemented in multiple locations of Wenjia Gully. The adopted preventive measures include water and sediment separation upstream, reinforce bottom of channel reinforcement and slope protection midstream, damming against and silting downstream. To evaluate the effectiveness of these treatments, this paper presents a data-driven method to conduct this research by collecting data during five seasons of heavy rainfalls. Survival analysis, Bootstrap method and Extreme Learning Machine(ELM) are selected to build data-driven models. By implementing survival analysis models, the survival probabilities of locations without treatment decrease to 0%.The survival probability of the locations with treatment stay at 55. 6%after the five rainfall seasons. Meanwhile, the maximum hourly rainfall in the post-treatment period is2. 571 times as the one in pre-treatment period. Total rainfall volume of post-treatment period is 1. 232 times as the one in pre-treatment period. Total time period of rainfall of post-treatment is 5. 435 times as the one of pre-treatment. Comparing the survival probabilities, the effect of treatments are significant in the prevention of debris flows. After resampling by bootstrap method, the predictive results from Extreme Learning Machine indicate that, without geological treatment, the probability of having debris flow under 10 times of heavy rainfall is 100%.It is much higher than the observed 30% between the year of 2011 and 2015. The predicted debris flows magnitudes are also significantly higher than the observed ones with treatment. Hence, geological engineering treatment is crucial in reducing and preventing geohazards.

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期刊信息
  • 《工程地质学报》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国科学院地质与地球物理研究所
  • 主编:王思敬
  • 地址:北京北土城西路19号中国科学院地质与地球物理研究所
  • 邮编:100029
  • 邮箱:gcdz@mail.igcas.ac.cn
  • 电话:010-82998121 82998124
  • 国际标准刊号:ISSN:1004-9665
  • 国内统一刊号:ISSN:11-3249/P
  • 邮发代号:82-296
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:14297