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概率积分法开采沉陷预计的GIS实现
引用本文:刘洋,武玲玲,周江刚. 概率积分法开采沉陷预计的GIS实现[J]. 北京测绘, 2014, 0(3): 110-112,130
作者姓名:刘洋  武玲玲  周江刚
作者单位:天津市普迅电力信息技术有限公司,天津,300384;安徽理工大学测绘学院,安徽淮南,232001
摘    要:以概率积分法为预计模型,对研究区可能的沉陷趋势进行预计,然后与GIS耦合,利用新一代的ArcGIS数据存储格式——Geodatabase建库,以整合目标区地形图、矿区图以及户籍信息等,为沉陷预计和信息管理做准备,然后利用预计模型求得的下沉参数实现沉陷范围和趋势的可视化,以方便信息的综合管理和其他决策。

关 键 词:GIS  概率积分法  开采沉陷预计

Implementate Subsidence Prediction by GIS Using a Method of Probability Integral
LIU Yang,WU Ling-ling,ZHOU Jiang-gang. Implementate Subsidence Prediction by GIS Using a Method of Probability Integral[J]. Beijing Surveying and Mapping, 2014, 0(3): 110-112,130
Authors:LIU Yang  WU Ling-ling  ZHOU Jiang-gang
Affiliation:1 Tianjin Richsoft Electric Power Information Technology co. ,Ltd, Tianjin 300384,China ; 2 School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan, Anhui 232001 ,China)
Abstract:This paper predict the subsidence trend of the study area, based on the probability integral method. Then con struct a database using the a new data storage format from ArcGIS Geodatabase, to integrate the target area topo graphic map, mine map and household registration information etc,preparing for the subsidence prediction and infor mation management. Then use the estimated model to calculate subsidence parameters to realize visualization subsidence range and trend, to the comprehensive management of convenient information and other decision
Keywords:GIS  probability integral method  predicting parameters  Mining subsidence forecast
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