Abstract
A 3D tailings dam visualization early warning system was developed based on GIS (geographic information system) combining ARIMA (autoregressive integrated moving average model) and 3S (RS, GIS, GPS) technology for prediction of phreatic line changes and tailing dam deformation. It was applied for monitoring and early warning for the gold–copper tailing dam in Zijinshan Dadongbei tailing pond. The system consists of equipment management, data management, prediction, monitoring and early warning, and 3D visualization modules. It is able to do data management, visualization and disaster prediction, and early warning based on 79 monitoring points of rainfall, infiltration line, and deformation of the tailing dam in the Zijinshan mine. The design and application of the system reflect its features of rich functionality, high practicality, intuitive effect, and high reference value. The system solves the problems of low visualization of monitoring data, poor management of multiple data, and feasible prediction and early warning of point–surface combination. It realizes high-precision prediction of key factors and real-time warning of disaster.
Highlights
Tailings have a great impact on environmental pollution and the ecological landscape (Jiang et al, 2021; Luo et al, 2021; Zhang et al, 2021)
The basic geological and geographic information data are stored in the database when the database is established, which is mainly used for front-end call and display
The Monitoring and early warning system based on aperture radar (Xu, 2021) can accurately analyze the surface change, but it does not have the ability of prediction and comprehensive analysis
Summary
Tailings have a great impact on environmental pollution and the ecological landscape (Jiang et al, 2021; Luo et al, 2021; Zhang et al, 2021). The tailing pond is a facility with high environmental risk. The factors affecting the stability problem of the dam are complex (Hu et al, 2016; Clarkson and Williams, 2021a). Safety events, such as tailing dam break, cause huge economic and property losses. The leakage of highly toxic chemicals, such as heavy metals and beneficiation agents contained in tailings, very pollutes the surrounding soil, surface water, and groundwater, causing sudden environmental disasters (Del Rio-Salas et al, 2019; Ouyang et al, 2019). The situation of tailing environmental risk management in China is still very serious, and the high incidence of environmental emergencies in tailing ponds has not been alleviated (Peng et al, 2020)
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