忠武输气管道沿线滑坡预测方法  

Prediction Methods for Landslide Hazards for Zhong-wu Gas Pipeline

作　　者：张军[1] 杨成坡[1] 陈辉 

机构地区：[1]中国地质大学测绘工程系,湖北武汉430074 [2]河南省地勘局第二水位地质队,河南郑州450053

出　　处：《地理空间信息》2011年第5期135-138,168,共4页Geospatial Information

基　　金：国家自然科学基金资助项目(40974011);国家863计划资助项目(2009AA12Z317)

摘　　要：忠武管道呈狭长线条状分布,其穿过的滑坡工程地质条件各异,导致滑坡的空间分布具有很大的随机性;同时按照忠武管道滑坡灾害防治要求,主要采用GPS进行滑坡监测,监测内容为位移-时间变化量,周期一般设为2年,监测时间间隔平均为一个月,故描述滑坡运动规律的数据量较少且单一。针对忠武管道沿线滑坡这些特点,提出了一种改进的串联灰色神经网络模型,并在忠武管道黄草坡滑坡监测中进行了实际运用。Zhong-wu pipeline was a narrow line-like distribution,which pass through different geological conditions of landslides,leading to the spatial distribution of landslides has great randomness.Zhong-wu pipeline at the same time in accordance with the requirements of landslide prevention,the main used GPS for landslide monitoring,cycle was generally set to 2 years,the average time interval of one month monitoring,monitoring of displacement-the amount of time,described the movement of landslide data in less and single Landslides along the Zhong-wu pipeline for these characteristics.This paper present an improved gray neural network model series,and applied to Huang-Caopo landslide monitoring.

关 键 词：滑坡空间预测 滑坡时间预测 GPS 灰色神经模型 

分 类 号：P258[天文地球—测绘科学与技术]