【摘要】：針對傳統(tǒng)位移監(jiān)測很少考慮不同測點(diǎn)之間相互作用的問題,基于經(jīng)濟(jì)學(xué)領(lǐng)域空間計(jì)量學(xué)基本理論,研究了空間自回歸模型在邊坡位移預(yù)測中的應(yīng)用。以某工程高邊坡外觀位移數(shù)據(jù)為例,對邊坡的位移狀況進(jìn)行預(yù)測,并與傳統(tǒng)的自回歸積分滑動(dòng)平均模型相比較。結(jié)果表明:(a)在空間自相關(guān)系數(shù)較為顯著的條件下,運(yùn)用空間自回歸模型可以較為精確地預(yù)測邊坡變形狀況,且優(yōu)于傳統(tǒng)模型;(b)空間自回歸模型相較于傳統(tǒng)模型參數(shù)更加簡潔、考慮的影響因素更全面,可以同時(shí)對空間所有測點(diǎn)位移進(jìn)行估計(jì)。
[Abstract]:In view of the problem that the traditional displacement monitoring seldom takes into account the interaction between different measuring points, the application of the spatial self-regression model in the slope displacement prediction is studied based on the basic theory of the space metrology in the field of economics. Taking the displacement data of high side slope of a certain project as an example, the displacement condition of the side slope is predicted, and compared with the traditional self-regression integral sliding average model. The results show that: (a) the spatial autoregressive model can predict the slope deformation more accurately under the condition that the spatial autocorrelation coefficient is significant, and the model is superior to the traditional model; (b) the space self-regression model is more concise than the traditional model parameters, The influence factors considered are more comprehensive, and the displacement of all measuring points in the space can be estimated at the same time.
【作者單位】： 大唐環(huán)境產(chǎn)業(yè)集團(tuán)股份有限公司大唐(北京)水務(wù)工程技術(shù)有限公司;
【分類號】：TV698.11

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