Multiple co-linearity and uncertainty of factors in dam safety monitoring model
Jie Yang, HU De-xiu · Journal of Hydraulic Engineering · 2004
The partial least-squares regression(PLSR)method is introduced to analyze the variable of dam safety monitoring model and the factors affecting these variables.This method combines the forecasting by means of model with non-model style data connotation analysis,thus,the establishment of model by mean of regression,simplification of data structure and the analysis of correlative uncertainty of model factors can be carried out simultaneously.The accuracy of the dam safety monitoring model is controlled by the cross validation test.The comparison of in situ monitoring data with model forecasting shows that the proposed method can effectively overcome the effects of multiple co-linearity among variables on fitting accuracy and forecasting capability of the safety monitoring model.