摘要
煤矿地表开采沉陷影响生态环境和居民人身的安全。针对沉陷区日常沉降监测中监测点位保存不易,数据获取困难等问题,本文基于数据等时间距化方法,分别运用灰色模型对沉陷区的沉降量进行预计。经实例验证,灰色预计模型能满足工程预计精度要求。
Mining subsidence affects the safety of ecological environment and residents.In view of the problems of difficulty in data acquisition and the preservation of monitoring site in the subsidence area,based on the data time interval method,the grey model is used to predictive the subsidence value of subsidence area.It is verified by examples that the grey prediction model can meet the engineering accuracy requirement.
出处
《北京测绘》
2017年第4期1-3,18,共4页
Beijing Surveying and Mapping
基金
国家自然科学基金资助项目(51404272)
关键词
灰色模型
沉陷区
预测
grey prediction model
subsidence area
predictive
