• 地球信息综合分析 •

### 矿区地面沉降预计方法与应用前景分析

1. 1. 首都师范大学资源环境与旅游学院,北京 100048;
2. 三维信息获取与应用教育部重点实验室,北京 100048
• 收稿日期:2010-09-30 修回日期:2011-03-23 出版日期:2011-04-25 发布日期:2011-04-25
• 通讯作者: 常占强(1964-),男,河北人,博士,副教授。主要从事3S技术与地面沉降监测研究。 E-mail:changkkll@tom.com E-mail:changkkll@tom.com
• 基金资助:

北京自然科学基金项目(8093032);北京市教委科技研究计划项目(KM200910028016)。

### Analysis and Prospect on the Prediction Methods of Ground Subsidence in Mining Area

CHANG Zhanqiang1,2, GONG Huili1,2

1. 1. College of Resource, Environment &Tourism, Capital Normal University, Beijing 100048, China;
2. Key Lab of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China
• Received:2010-09-30 Revised:2011-03-23 Online:2011-04-25 Published:2011-04-25

Abstract: The ground surface subsidence due to underground mining of mineral resources is a kind of serious environmental issues over the world, which all the countries with abundant mineral resources are currently confronted with. China is not an exception. With the sharp increasing in mineral resources consumption, this issue will inevitably become more and more severe in the future. In order to greatly reduce the damages induced by ground surface subsidence to the infrastructures and natural environment, it is very important to predict the ground surface subsidence precisely. In the present paper, the authors, first of all, made a systematic and comprehensive analysis on the characteristics and applicability of the major ground subsidence prediction methods currently used at home and abroad. Then, according to their applicability, the authors suggested that the major ground subsidence prediction methods should be divided in to two categories:(1) the prediction methods on spatial domain distribution; (2) the prediction methods on the temporal domain variation. In addition, several feasible and significant directions in the investigation of the ground subsidence prediction were put forward, including (1) on the ground prediction under the concrete circumstances of geology and mining; (2) on the unification problem for the spatial distribution and the temporal variation in the prediction of the ground surface subsidence; and (3) on the integration problem of ground temporal subsidence prediction and field monitoring. Finally, the authors conducted the prospect on the prediction of ground surface subsidence, in which the cooperation and supplement between the prediction methods of ground surface subsidence and the advanced modern space Earth observation monitoring techniques, such as Interferometric Synthetic Aperture Radar and Global Positioning System were emphasized and expected to substantially improve the prediction accuracy of ground surface subsidence and utmost reduce the damages induced by underground mining of mineral resources. Along with the continuously increasing demands for mineral resources, the investigation on ground surface subsidence prediction is expected to play a more important role in the protection of ground surface facilities and natural environments in the future.