The Deformation Forecast Model of Landslides Based on Multiple Factors and Taylor Series
Abstract In this paper, the deformation of the landslide is regarded as the function of the time and the rainfall of every month and the temperature. Taylor series is used to determine the relationship of the deformation to the time and rainfall of every month and temperature; Taylor series is expanded to quadratic terms, and a Kalman filter model is developed to forecast the deformation of the landslide. An example of calculation shows that the fitted effect and forecast effect of the model are better, and that the model can be used to forecast the short-term deformation of the terrene landslide.
Key words :
landslide
Taylor series
Kalman filter
forecast
Cite this article:
LU Fumin,JIANG Tingyao. The Deformation Forecast Model of Landslides Based on Multiple Factors and Taylor Series[J]. jgg, 2017, 37(10): 1029-1033.
LU Fumin,JIANG Tingyao. The Deformation Forecast Model of Landslides Based on Multiple Factors and Taylor Series[J]. jgg, 2017, 37(10): 1029-1033.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2017/V37/I10/1029
[1]
WANG Fu,HAN Baomin,HU Liangliang,MENG Hao,GUO Zhenhua. Research on GNSS/INS Integrated Navigation Algorithm in Complex Urban Environments [J]. jgg, 2022, 42(1): 15-20.
[2]
ZHOU Yang. Seismic Data Prediction Based on Regression Model of Nuclear Mixed Effects [J]. jgg, 2021, 41(9): 967-972.
[3]
HAO Yonghe,HAO Yongyan,TANG Chengzhong,YANG Hua. Research on Dam Deformation Trend Judgment and Prediction Based on Deformation Information Decomposition [J]. jgg, 2021, 41(8): 841-845.
[4]
HUANG Jiawei,LU Tieding,HE Xiaoxing,LI Wei. Short Term Prediction Model of Ionospheric TEC Based on Residual Correction of Prophet-Elman [J]. jgg, 2021, 41(8): 783-788.
[5]
LIU Lili,LIN Xueyuan,YU Feng,CHEN Xiangguang. A Filtering Method of SINS/CNS/GNSS Integrated Navigation System [J]. jgg, 2021, 41(7): 676-681.
[6]
LU Tieding,HUANG Jiawei,HE Xiaoxing,Lü Kaiyun. Short-Term Ionospheric TEC Prediction Using EWT-Elman Combination Model [J]. jgg, 2021, 41(7): 666-671.
[7]
YAO Zhiwei,CHEN Yu. Time Series Forecasting of Equivalent Water Height and Surface Displacements from GRACE Using Deep Neural Networks [J]. jgg, 2021, 41(7): 721-726.
[8]
LU Tieding,HUANG Jiawei, LU Chunyang,HE Xiaoxing,QIAN Wenlong. Short-Term Ionospheric TEC Prediction Model Based on EWT-ARMA [J]. jgg, 2021, 41(4): 331-335.
[9]
LI Lei,ZHANG Ning,YIN Shuhui,WANG Yizhuo. ARMA Residual Correction Model for Detecting Ionospheric TEC Anomalies before Menyuan MS 6.4 Earthquake [J]. jgg, 2021, 41(4): 382-386.
[10]
FU Bolin,XIE Shuyu,LI Tao,LI Hao,ZUO Pingping,GAO Ertao. Comparative Study of Landslide Remote Sensing Monitoring Based on SBAS/PS-InSAR Technology [J]. jgg, 2021, 41(4): 392-397.
[11]
LU Zhaoxing, Lü Zhifeng, LI Ting, ZHANG Jinsheng, YAO Yao. Forecasting of the Variable Geomagnetic Field Based on BP Neural Network [J]. jgg, 2021, 41(3): 229-233.
[12]
HUANG Wenxi, ZHU Fuying, ZHAI Dulin, LIN Jian, QING Yun, LI Xinxing, YANG Jian. Comparative Analysis of BP Neural Network and ARMA Model in Short-Term Prediction of Mid-Latitude TEC [J]. jgg, 2021, 41(3): 262-267.
[13]
ZHOU Wentao, ZHANG Wenjun, YANG Yuanji, MA Xudong, RAN Maoying. A Combined Model Prediction Method for Surface Subsidence Monitoring in Mining Areas [J]. jgg, 2021, 41(3): 308-312.
[14]
LI Wei,LU Tieding,HE Xiaoxing,QIAN Wenlong. Prediction and Analysis of GNSS Vertical Coordinate Time Series Based on Prophet-RF Model [J]. jgg, 2021, 41(2): 116-121.
[15]
ZHAO Qingzhi,LIU Yang,YAO Wanqiang. Establishment of Short-Term Rainfall Forecast Model by Least Square Support Vector Machine [J]. jgg, 2021, 41(2): 152-156.