For landslide displacement, interval predictions are generally more realistic and reliable compared with traditional point predictions. This paper presents a new interval prediction method for landslide displacement integrating dual-output least squares support vector machine (DO-LSSVM) and particle swarm optimization (PSO) algorithms. In this new method, the PSO algorithm is employed to optimize coefficients of the least squares support vector machine (LSSVM) model for obtaining point prediction results, and the interval prediction of the landslide displacement is made based on the dual-outputs obtained from the DO-LSSVM model. To assess the rationality of the predictions, three performance evaluation indicators, including the prediction interval coverage probability (PICP), normalized mean prediction interval width (NMPIW), and coverage width-based criterion (CWC), are established. Case studies of the Tanjiahe landslide and the Baishuihe landslide in the Three Gorges Reservoir region are then used to demonstrate the effectiveness of the proposed method in predicting the landslide displacement interval. The case study results demonstrate that this new method has the best overall performance compared with other existing methods, and this new method can provide accurate and reliable results for the medium- to long-term interval prediction of landslide displacement.
With their high resolution and reliability, tree rings play a very important role in global climate change study. The long tree-ring chronology is considered as one of the most important information sources to study the climatic change in the past several thousands years. In recent years, the tree-ring researches in China have made great progress, and the temperature and precipita- tion in some areas were reconstructed[1-20] which on- tributed to the global change studies in China. Due to the… 相似文献
采用Hadley中心1953—2012年海冰密集度资料、NCEP/NCAR逐月再分析资料和1977—2011年日本气象厅台风资料,对冬春季北极海冰变化的主要特征进行了分析,并对冬春季北极海冰变化与西北太平洋台风活动之间的关系进行了初步探讨。结果表明,冬春季北极海冰表现为明显的年代际变化,且在1965—2004年间具有3—4 a的低频振荡周期。在20世纪60年代后期和70年代初期,海冰变化最为显著。冬春季海冰变化与西北太平洋热带气旋生成频次、强度频次的相关性在9月份明显高于其他月份,且为正相关,而与热带气旋强度等级有较显著的负相关性。冬春季北极海冰变化与夏季西太平洋副高强度、副高面积均有很好的负相关关系。冬春季海冰面积偏多(少)时,夏季北美东部、冰岛附近地区、北太平洋以及中低纬度大部地区500 h Pa高度场为负(正)距平分布。冬春季北极海冰面积异常对北半球大气环流的持续性影响,在随后到来的台风盛期有较明显的体现。 相似文献
Acta Geotechnica - Multi-field information monitoring is useful to better understand the deformation and failure behaviour of landslides. Therefore, in this study, a physical slope model under... 相似文献