地理科学

地理科学 ›› 2012, Vol. 32 ›› Issue (7): 885-891.doi: 10.13249/j.cnki.sgs.2012.07.885

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岷江上游潜在性泥石流堰塞湖危害及判识

柳金峰1,2(), 游勇1,2, 陈兴长3   

  1. 1.中国科学院山地灾害与地表过程重点实验室, 四川 成都 610041
    2.中国科学院水利部成都山地灾害与环境研究所, 四川 成都 610041
    3.西南科技大学环境与资源学院, 四川 绵阳 621010
  • 收稿日期:2011-05-03 修回日期:2011-09-12 出版日期:2012-07-20 发布日期:2012-07-20
  • 作者简介:

    作者简介：柳金峰（1979-）,男,安徽泾县人,助理研究员,主要从事山地灾害实验与防治工程研究。E-mail：liujf@imde.ac.cn

  • 基金资助:
    国家科技支撑计划课题(2009BAK56B05)、国家自然科学基金项目（40971014）资助

Potential Damages and Identification of Debris Flow Barrier Lakes in theUpper Min River Drainage

Jin-feng LIU1,2(), Yong YOU1,2, Xing-chang CHEN3   

  1. 1. Key Laboratory of Mountain Surface Process and Hazards, Chinese Academy of Sciences, Chengdu, Sichuan 610041, China
    2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, Sichuan 610041, China
    3. School of Environment and Resources, Southwest University of Science and Technology, Mianyang, Sichuan 621010, China
  • Received:2011-05-03 Revised:2011-09-12 Online:2012-07-20 Published:2012-07-20

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摘要：

汶川地震造成泥石流形成条件的改变,其次生灾害堰塞湖的危害已开始显现。如何对震后潜在性泥石流堰塞湖进行判识,成为迫切需要解决的问题。选取岷江上游映秀至汶川段为研究区,通过分析震后泥石流形成条件的变化、典型泥石流堰塞湖的危害及松散物质储量,选取潜在性泥石流堰塞湖的判识指标,利用模糊物元可拓模型,建立潜在性泥石流堰塞湖的综合判识模式。通过判识,研究区形成泥石流堰塞湖可能性高的一级支沟有17条,主要集中分布在映秀镇至草坡乡段,此段将是今后受堰塞湖危害的高危地段。

关键词: 岷江上游, 泥石流, 堰塞湖, 潜在危害, 判识

Abstract:

The Wenchuan earthquake caused numerous landslides and collapses that provided abundant loose solid materials for future mobilization as debris flows. The formation conditions for debris flows were changed consequently. Debris flows will be very active for a long time in the affected area. Their secondary disaster, barrier lake, is beginning to appear. Therefore, it is urgent to identify those debris flow gullies which are potential to form barrier lakes following the environmental changes caused by the earthquake. This paper selected the upper Min River from Yinxiu to Wenchuan as study area, analyzed the changed formation conditions of debris flows and the damages of a typical debris flow barrier lake, and interpreted the loose solid materials from TM satellite images and aerial photographs. Then, the identification factors were selected and classified based on the factor independence analysis. At last, the fuzzy matter-element extension theory was used to construct a model to identify potential barrier lakes. The potential future increase in debris flow activity relates directly to the great increase in loose materials. The interpretation results indicated that the area of the landslides and collapses caused by the earthquake is 39.40 km2, accounting for 6.97% of the total study area. Assuming 55% of the landslide and collapse area were their deposition area and the average deposition depth was 10 m, the volume of the loose solid materials can be estimated as 2.13×108m3 which was sufficient for debris flow formation. Based on the factor independence analysis, the volume of the loose solid materials per unit area, the discharge ratio between the debris flow gully and the main river, the slope gradient of debris flow channel, the main river width, and the included angle between the debris flow gully and the main river were determined as identification factors. According to the multi-factor comprehensive identification, among the 55 first-grade gullies, 17 gullies have high probabilities for potential debris flow barrier lakes, 15 have moderate probabilities, and 23 gullies have low probabilities. The most likely debris flow gullies for forming barrier lakes mainly distribute in the middle-to-lower reaches of the study area (Yingxiu Town to Caopo Town), and those with moderate and low probabilities are mainly distributed in the upper reaches of the study area (Caopo Town to Wenchuan County). In addition, among the 17 potential debris flow gullies with high probabilities, 4 gullies already yielded barrier lakes during the 2008-2010 rainy seasons. The remaining debris flow gullies will produce barrier lakes in the future with high probability.

Key words: Upper Min River, debris flow, barrier lakes, potential damages, identification

中图分类号: 

  • P642.23