基于大数据的矿区地灾信息智能分析系统开发与应用

Development and application of intelligent analysis system of ground disaster information in mining area based on big data

为促进矿区地质灾害信息管理及地理影响科学评价,实现资源开发后的生态环境保护与治理协调发展,本文结合山西省矿区地质灾害现状,针对矿区地质灾害数据信息化建设、智能化查询及地理影响评估的需求,将矿区地质灾害信息管理与地质灾害危险性评价相结合,保证信息的实时更新。基于WebGIS开发平台,采用分布式数据库以及B/S架构实现系统在线运行,对矿区地质灾害信息的查询检索、统计分析、核密度分析及地灾危险性分析等功能进行设计开发。研究结果表明:(1)地形、植被覆盖度以及人类活动是影响地质灾害发育的重要因素,但对不同地质灾害发育的影响程度不同;(2)就灾害点危险性而言,崩塌灾害是山西省面临的主要地质灾害,地裂缝灾害虽然数量最多、分布最广泛,但其平均危险性较低。

In order to promote the information management of geological disasters and the scientific evaluation of geographical impact in mining areas,and realize the coordinated development of ecological environment protection and governance after resource development,this paper combines with the current situation of geological disasters in mining areas in Shanxi province,aiming at the needs of geological disaster data information construction,intelligent query and geographical impact assessment in mining areas,the combination of geological disaster information management and geological disaster risk assessment ensures the real-time update of information.Based on WebGIS development platform,distributed database and B/S architecture are adopted to realize the online operation of the system,and the functions of query and retrieval,statistical analysis,core density analysis and geological disaster risk analysis of geological disaster information in mining area are designed and developed.The results show that the terrain,vegetation coverage and human activities are the important factors affecting the development of geological disasters,but the influence on the development of different geological disasters is different;as far as the risk of disaster point is concerned,collapse disaster is the main geological disaster faced by Shanxi province.Although the number of ground fissure disaster is the largest and the most widely distributed,its average risk is low.