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基于大数据的矿区地灾信息智能分析系统开发与应用
引用本文:孟超,张绍良,杨永均,付丽强,赵毅敏. 基于大数据的矿区地灾信息智能分析系统开发与应用[J]. 中国矿业, 2021, 30(12)
作者姓名:孟超  张绍良  杨永均  付丽强  赵毅敏
作者单位:中国矿业大学环境与测绘学院,中国矿业大学环境与测绘学院,中国矿业大学环境与测绘学院,山西省自然资源厅信息中心,山西省自然资源厅信息中心
基金项目:国家自然科学资助(编号:51874307)、国家自然科学资助(编号:41807515)
摘    要: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结合起来,保证信息的实时更新。基于web GIS,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。本文基于系统处理结果分析了矿区地质灾害发育特征及地质灾害危险性,得到如下结论:(1)地形、植被覆盖度以及人类活动是影响地质灾害的发育重要因素,但其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。

关 键 词:地质灾害  大数据  危险性评估  信息系统  矿区
收稿时间:2020-06-26
修稿时间:2021-12-06

Development and Application of Intelligent Analysis System of Ground Disaster Information in Mining Area Based on Big Data
MENG Chao,ZHANG Shaoliang,YANG Yongjun,FU Liqiang and ZHAO Yimin. Development and Application of Intelligent Analysis System of Ground Disaster Information in Mining Area Based on Big Data[J]. CHINA MINING MAGAZINE, 2021, 30(12)
Authors:MENG Chao  ZHANG Shaoliang  YANG Yongjun  FU Liqiang  ZHAO Yimin
Affiliation:School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou,Jiangsu,School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou,Jiangsu,School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou,Jiangsu,Information Center of Shanxi Provincial Department of Natural Resources,Taiyaun,Shanxi,Information Center of Shanxi Provincial Department of Natural Resources,Taiyaun,Shanxi
Abstract:In order to promote the management of geological disaster information and scientific evaluation of geographical impact in mining areas, and to achieve coordinated development of ecological environment protection and governance after resource development, this paper combines the status of geological disasters in mining areas in Shanxi Province, and aims at information construction, intelligent query and geographic impact assessment of geological disaster data in mining areas. The needs of the mine area are combined with information management of geological hazards in the mining area and risk assessment of geological hazards to ensure real-time update of information. Based on web GIS, using distributed database and B/S architecture to achieve online operation, design and development of mining area geological disaster information query and retrieval, statistical analysis, nuclear density analysis and ground hazard risk analysis and other functions. Based on the results of system processing, this paper analyzes the development characteristics of geological hazards and the risk of geological hazards in mining areas, and draws the following conclusions: (1) Topography, vegetation coverage, and human activities are important factors that affect the development of geological hazards, but they are important The degree of impact is different; (2) In terms of hazards of disaster sites, collapse disasters are the main geological disasters faced by Shanxi Province. Although ground fissure disasters have the largest number and most widespread distribution, their average risk is low.
Keywords:geological disaster   big data   risk assessment   information system   mining area
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