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地下水造成的矿山水害相较于地表水更难预测。随着计算机技术和空间数据挖掘技术的发展,为了将空间数据挖掘技术应用于矿山水害的预测预报工作中,试验数据库设计中采用了2011年由美国德州大学David R.Maidment教授提出的现已被商业软件ArcGIS 10采用并推广应用的水文数据模型(ArcHydro)规范,结合矿山地下水的独特性,探讨建立了包含水文点层、水文线层和水文面层的矿山地下水GIS数据模型。
Mine water damage caused by groundwater is more difficult to predict than surface water. With the development of computer technology and spatial data mining technology, in order to apply the spatial data mining technology in forecasting and forecasting of mine water damage, the design of the experimental database was adopted in 2011 by Professor David R. Maidment of the University of Texas at Dallas ArcGIS 10, a commercial software, adopted and popularized the ArcHydro specification of the hydrological data model. Combined with the uniqueness of mine groundwater, this paper discussed the establishment of a groundwater GIS data model of mining groundwater containing hydrological point layer, hydrological line layer and hydrologic surface layer.