矿区土地复垦历史文献数据挖掘方法及应用研究
投稿时间:2019-10-24  修订日期:2020-05-04  点此下载全文
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作者单位邮编
胡钰琳 中国矿业大学环境与测绘学院 221116
张绍良 矿山生态修复教育部工程研究中心 221116
于娅娜 中国矿业大学环境与测绘学院 
侯湖平 中国矿业大学环境与测绘学院 
杨永均 中国矿业大学环境与测绘学院 
公云龙 中国矿业大学环境与测绘学院 
基金项目:矿山土地生态系统恢复力研究
中文摘要:土地复垦是煤炭开采面临的最严峻问题之一,经过多年相关研究的经验积累,已经产生了大量的历史文献。因此引入数据挖掘技术处理这些宝贵的历史文献资料十分必要。本文以徐州矿区为例,通过对土地复垦历史文献关键词分词编码化,构建TF*IDF算法和空间向量模型、聚类分析,采用Python语言进行数据挖掘,最后在ArcGIS基础上二次开发,显示数据挖掘结果。最终得到了徐州矿区的塌陷情况、复垦技术以及示范工程等重要历史信息,克服了土地复垦历史文献的数据冗余、数据冲突以及真伪识别等难点。结果表明,采用数据挖掘技术,不仅弥补了人工统计的不足,同时发挥了恢复历史“数据链”的特殊作用,可实现矿区土地复垦与生态重建信息的集成与知识发现,为矿区系统修复、综合治理提供基础数据支撑。
中文关键词:数据挖掘  土地复垦  生态修复  徐州矿区
 
Research on data mining method and application of historical literatures of mining land reclamation
Abstract:Land reclamation is one of the most serious problems in coal mining. Years of relevant research have produced a large number of historical literature. Therefore, it is necessary to use data mining technology to process these historical literature. Through encoding keywords of historical documents of land reclamation, constructing TF*IDF algorithm, spatial vector model and conducting cluster analysis, adopting Python for data mining, this paper, taking Xuzhou mining area as an example, carried out secondary development based on ArcGIS to display data mining results. Finally, the subsidence situation, reclamation technology, demonstration projects and other important historical information of Xuzhou mining area were obtained, and the difficulties of data redundancy, data conflict and authenticity identification of historical literature of land reclamation were overcome. The results show that the application of data mining technology not only makes up for the defects of manual sorting, but also can restore the historical "data chain", which can realize the knowledge discovery and integration of mining land reclamation and ecological reconstruction information, and provide data support for mining system restoration and comprehensive management.
keywords:data mining  land reclamation  ecological remediation  Xuzhou mine area
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