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| 引用本文： | 李晓蕾,刘睿,田永瑞,谢炳科.??????????????в?????????о?[J].大地测量与地球动力学,2010,30(5):125-128. |
| 作者姓名： | 李晓蕾 刘睿 田永瑞 谢炳科 |
| 作者单位： | 1. 重庆科技学院建筑工程学院,重庆,401331;长安大学地质工程与测绘学院,西安,710054 2. 中国科学研究院地理科学与资源研究所,资源与环境信息系统国家重点实验室,北京,100101 3. 长安大学地质工程与测绘学院,西安,710054 4. 重庆科技学院建筑工程学院,重庆,401331 |
| 基金项目： | 中国科学院地理科学与资源研究所前沿领域创新项目 |
| 摘 要： | ?????????????????????????????????????ε???????????????????в??????????????????????????в?????????????С?????????????B??????????????????????????????????????????????????????5????????122%??????????????179%??GM(1,1)????284%???????????????????5????????????????????????20%???????????????????????? |
| 关 键 词： | ?????? ???η??? ?в????? ?????в???????? ??????? |
STUDY ON SPATIAL MULTI-POINT RESIDUAL MODEL BASED ON GREY PREDICTION |
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| Li Xiaolei,Liu Rui,Tian Yongrui,Xie Bingke.STUDY ON SPATIAL MULTI-POINT RESIDUAL MODEL BASED ON GREY PREDICTION[J].Journal of Geodesy and Geodynamics,2010,30(5):125-128. | |
| Authors: | Li Xiaolei Liu Rui Tian Yongrui Xie Bingke |
| Institution: | 1)School of Civil Engineering and Architecture, Chongqing University of Science and Technology, Chongqing 401331 2)Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 1001013)College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054 |
| Abstract: | On the basis of the analysis of the shortage of Grey single point prediction model, by considering the spatial correlation between the deformation observation points, the residual modification is applied in the spatial multi point model and thus the spatial multi point residual model is developed.By taking the subsidence monitoring data of Xiaolangdi multipurpose dam as an example, the results shows that the total absolute values of relative error(5 cycles) of spatial multi point residual model is 122%, better than 179% of spatial multi point model and 284% of GM(1,1) model. Meanwhile, this model has the best fitting accuracy with the relative error less than 20% in short cycle fitting. |
| Keywords: | grey prediction deformation analysis residual modification spatial multi point residual model subsidence monitoring |
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