Geodetic deformation forecasting based on multi-variable grey prediction model and regression model

[ X ]

Tarih

2019

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Emerald Group Publishing Ltd

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Purpose The purpose of this paper is to examine the effectiveness of the multivariable grey prediction model in deformation forecasting. Design/methodology/approach Deformation in a dam can be seen because of many factors but without any doubt, the most influential factor is the water level. In this study, the deformation level of a point in the Keban Dam crest has been tried to be forecasted depending on the water level by the multivariable grey model GM(1,N). Regression analysis was used to test the accuracy of the prediction results obtained using the grey prediction model. Findings The results show that there is a great consistency between the grey prediction values and the actual values, and that the GM(1,N) produces more reliable results than the regression analysis. Based on the results, it can be concluded that the GM(1,N) is a very reliable estimation model for limited data conditions. Originality/value Different from the other studies in the literature, this study investigates deformation in a dam subject to the water level in the dam reservoir. The main contribution of the study to the literature is to suggest a relatively new procedure for estimating the deformation in the dams based on the water level.

Açıklama

Anahtar Kelimeler

Grey system theory, Deformation forecasting, Multivariable grey prediction model

Kaynak

Grey Systems-Theory and Application

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

9

Sayı

4

Künye