Probability prediction model for landslide occurrences in Xi’an, Shaanxi Province, China

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• 作者：Jian-qi Zhuang (1)
  Javed Iqbal (2) (3)
  Jian-bing Peng (1)
  Tie-ming Liu (4)
  
• 关键词：Landslide ; Probability prediction model ; Real ; time monitoring ; Xi’an
• 刊名：Journal of Mountain Science
• 出版年：2014
• 出版时间：March 2014
• 年：2014
• 卷：11
• 期：2
• 页码：345-359
• 全文大小：5,846 KB
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• 作者单位：Jian-qi Zhuang (1)
  Javed Iqbal (2) (3)
  Jian-bing Peng (1)
  Tie-ming Liu (4)
  
  1. College of Geological Engineering and Surveying of Changan University/Key Laboratory of Western China Mineral Resources and Geological Engineering, Xi’an, 710054, China
  2. Department of Earth Sciences, COMSATS Institute of Information Technology, Abbottabad, 22030, Pakistan
  3. Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
  4. Geo-hazards Mitigation and Research of Chang’an University, Xi’an, 710054, China
  
• ISSN：1993-0321

文摘

Landslides are increasing since the 1980s in Xi’an, Shaanxi Province, China. This is due to the increase of the frequency and intensity of precipitation caused by complex geological structures, the presence of steep landforms, seasonal heavy rainfall, and the intensifcation of human activities. In this study, we propose a landslide prediction model based on the analysis of intraday rainfall (IR) and antecedent effective rainfall (AER). Primarily, the number of days and degressive index of the antecedent effective rainfall which affected landslide occurrences in the areas around Qin Mountains, Li Mountains and Loess Tableland was established. Secondly, the antecedent effective rainfall and intraday rainfall were calculated from weather data which were used to construct critical thresholds for the 10%, 50% and 90% probabilities for future landslide occurrences in Qin Mountain, Li Mountain and Loess Tableland. Finally, the regions corresponding to different warning levels were identified based on the relationship between precipitation and the threshold, that is; “A-region is safe, “B-region is on watch alert, “C-region is on warning alert and “D-region is on severe warning alert. Using this model, a warning program is proposed which can predict rainfall-induced landslides by means of real-time rain gauge data and real-time geo-hazard alert and disaster response programs. Sixteen rain gauges were installed in the Xi’an region by keeping in accordance with the regional geology and landslide risks. Based on the data from gauges, this model accurately achieves the objectives of conducting real-time monitoring as well as providing early warnings of landslides in the Xi’an region.