地质矿产预测中GIS技术的应用研究
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摘要
GIS属于一种现代化技术手段,属于电子信息技术不断发展的产物,特点为定位、定时以及定量等等,最近这些年,矿业的勘查勘探与GIS技术有了更为密切的联系,不断在矿业开采以及地质矿产资源预测工作中起到关键性作用。现今进行矿产预测的时候,GIS技术能够收获较为良好的预测成效,进而为合理科学地利用开发矿产资源奠定坚实基础。此文针对GIS 技术作用优势特点与我国目前的矿产状况进行分析,重点针对地质矿产预测当中的GIS 技术应用展开分析。
GIS belongs to a kind of modern technical means, and belongs to the product of the continuous development of electronic information technology. Its characteristics are positioning, timing and quantification. In recent years, the exploration and exploration of mining industry has a closer relationship with GIS technology, and it has played a key role in mining and geological and mineral resources prediction. At the time of mineral prediction nowadays, GIS technology can achieve better prediction results, and lay a solid foundation for rational and scientific utilization and development of mineral resources. In this paper, the advantages of GIS technology and the current situation of mineral resources in China are analyzed, focusing on the application of GIS technology in geological and mineral prediction.
GIS belongs to a kind of modern technical means, and belongs to the product of the continuous development of electronic information technology. Its characteristics are positioning, timing and quantification. In recent years, the exploration and exploration of mining industry has a closer relationship with GIS technology, and it has played a key role in mining and geological and mineral resources prediction. At the time of mineral prediction nowadays, GIS technology can achieve better prediction results, and lay a solid foundation for rational and scientific utilization and development of mineral resources. In this paper, the advantages of GIS technology and the current situation of mineral resources in China are analyzed, focusing on the application of GIS technology in geological and mineral prediction.
引文
[1]牛光化,毛的堡,钟常亭,张重善.GIS技术在阿尔金成矿带铜矿成矿预测的应用分析[J].地质通报,2014,5(8):23-24.
[2]杨终报,彭盛琳,李超沿,何夏.基于GIS技术和ANN耦合技术的非线性矿产预测系统设计规划[J].化工矿产地质,2014,6(3):33-34.
[2]杨终报,彭盛琳,李超沿,何夏.基于GIS技术和ANN耦合技术的非线性矿产预测系统设计规划[J].化工矿产地质,2014,6(3):33-34.