文章摘要
袁普金,姚赫,张勇,高旭彪.生产建设项目弃渣场安全选址方案研究[J].水土保持通报,2018,38(6):132~137,143
生产建设项目弃渣场安全选址方案研究
Investigation of Site Selection for Slag Abandonment Yard of Production and Construction Projects
投稿时间:2018-08-15  修订日期:2018-09-25
DOI:10.13961/j.cnki.stbctb.2018.06.020
中文关键词: 弃渣场  滑坡  预测模型  水土保持
英文关键词: abandoned dreg sites  landslide  prediction model  soil and water conservation
基金项目:国家自然科学基金项目“干湿交替作用下非均质土体的形变与破坏机制”(41807065);水利部水土保持方案技术评审项目(12630005)
作者单位
袁普金 水利部 水土保持监测中心, 100055, 北京 
姚赫 长江水利委员会 长江流域水土保持监测中心站, 湖北 武汉 430010 
张勇 长江水利委员会 长江流域水土保持监测中心站, 湖北 武汉 430010 
高旭彪 水利部 水土保持监测中心, 100055, 北京 
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中文摘要:
      [目的] 研究弃渣失稳后可能产生的滑移距离,为生产建设项目弃渣场安全选址提供参考依据。[方法] 收集了1 032组国内外堆积体、滑坡体、火山流体数据,整理出有效数据882组,在此基础上,基于发生类似运动的概率提出了历史发生频率选址法,基于理论修正模型提出了模型预测选址法。[结果] 根据历史发生频率法,对5,4,1级弃渣场宜分别取2.78,5.88,14.29倍落差的安全距离,对2级、3级弃渣场宜取7.14倍的落差的安全距离。利用模型预测法,根据不同的渣场大小等级(AL)和岩质类型(RT),可准确预测弃渣场选址的安全防护距离。[结论] 历史发生频率法操作较简单,容易推广和实施。模型法理论性强,判断较为准确,但需进行试算迭代,使用要求较高。
英文摘要:
      [Objective] The possible mass movement distance resulted from the instability of the abandoned dreg sites was studied for life and property security and environmental protection.[Methods] In accordance with the summarized historical data about 1 032 samples from soil accumulation, landslide mass and volcanic fluids, 882 effective data were selected by statistical analysis, and two models with regard to site selection were proposed.[Results] The corresponding safe distance for waste rock and soil accumulation in the different scales was calculated by the historical frequency. The 2.78, 5.88 and 14.29 times of its distance corresponding to the waste rock and soil accumulation were suggested for 5, 4 and 1 class abandoned dreg sites. And the 7.14 times of its distance corresponding to the waste rock and soil accumulation was suggested for 2 and 3 class abandoned dreg sites. The numerical prediction method with a highly application for loess accumulation was proposed to determine the safe distance by the theoretical modification and evaluation of the existed experience models, considering the mass scale, landform and rock classification.[Conclusion] The historical frequency method with a simple procedure can be widely used and accepted. The numerical prediction method has higher precision with iterative computation.
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