The content of this article is from the "Surveying and Mapping Bulletin", No. 5, 2021, review number: GS (2021) 2567
An EMD method for suppressing boundary effects and its application in landslide monitoring
Sun Haoran, Yue Jianping
College of Earth Sciences and Engineering, Hohai University, Nanjing 211100, Jiangsu, China
Fund Project: National Key R&D Program (2018YFC1508603)
Citation format: Sun Haoran, Yue Jianping. An EMD Method for Inhibiting Boundary Effect and Its Application in Landslide Monitoring[J]. Bulletin of Surveying and Mapping, 2021(5): 77-80,90.doi: 10.13474/j.cnki.11-2246.2021.0146.
：http://tb.sinomaps.com/CN/10.13474/j.cnki.11-2246.2021.0146
summary
Abstract: The correct decomposition of landslide displacement sequence has an important impact on landslide prediction and early warning. Empirical mode decomposition is a commonly used time series decomposition method, but the method has an endpoint effect in the decomposition process, and the established prediction model has divergent endpoints, resulting in a large deviation in the prediction error. Therefore, based on the principle of function extension, this paper improves the classical empirical modal decomposition method, proposes an empirical modal decomposition method that inhibits the endpoint effect, and analyzes and verifies the improved method by using the white grid landslide data of the Jinsha River. The experimental results show that the endpoint effect of the improved method is good, and the prediction accuracy is improved compared with the classical method.
About the Author
About author:: Sun Haoran (1995-), female, master's student, the main research direction is landslide deformation monitoring.
E-mail:[email protected]
Preliminary: Yang Ruifang
Review: Song Qifan
Final Judge: Jin Jun