Ionic rare earth mining prediction method and system based on water environment capacity

A technology for ionic rare earth and water environment capacity, which is applied in forecasting, structured data retrieval, instruments, etc.

Pending Publication Date: 2021-02-05
BEIJING MINING & METALLURGICAL TECH GRP CO LTD
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Problems solved by technology

However, no specific prediction formula is given, nor is there any explanation on how to obtain the watershed zoning map and how to obtain the prediction parameters such as the intensity of pollution sources

Method used

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  • Ionic rare earth mining prediction method and system based on water environment capacity
  • Ionic rare earth mining prediction method and system based on water environment capacity
  • Ionic rare earth mining prediction method and system based on water environment capacity

Examples

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Embodiment 1

[0087] This embodiment takes a rare earth mine in a river basin in Ganzhou, Jiangxi as the research object, and describes in detail a mining prediction method for ionic rare earth mines based on the water environment capacity of the river basin. The process is as follows figure 1 As shown, the specific steps are as follows:

[0088] Step 1, divide the watershed where the ore block is located

[0089] Use the ArcSWAT plug-in of ArcGIS to load the raster DEM map of the mining area, draw the vector map of the pickled film in the research area and import it. This operation avoids processing the entire DEM image, shortens the GIS processing time, and defines the river network based on the threshold, that is, through filling. , Calculate flow direction and water flow accumulation grid, preprocess DEM, generate river network, plot water quality monitoring and prediction sections in ArcGIS, select water outlets in the basin accordingly, and obtain the distribution vector diagram of th...

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Abstract

The invention belongs to the technical field of mining and particularly relates to an ionic rare earth mining prediction method and system based on water environment capacity. The mining prediction method comprises the following steps of collecting mine basic data, and the mine basic data comprises basic attribute data of a to-be-mined block, basic attribute data of a drainage basin, water qualitymonitoring attribute data, meteorological attribute data and basic attribute data of a pollution source; calculating the ammonia nitrogen concentration of the ionic rare earth mining surface water based on the collected mine basic data; decision making being conducted on mining of the ionic rare earth mine based on the ammonia nitrogen concentration, and the mining amount being reduced in the mining year when the ammonia nitrogen concentration is larger than 1 mg/L. The prediction method can accurately reflect the space-time dynamic change of the non-point source pollution caused by the dispersive mining of the rare earth ore, simplifies the complex problem, and is simple and convenient to operate.

Description

technical field [0001] The invention belongs to the technical field of mining, and in particular relates to an ion-type rare earth mining prediction method and system based on water environment capacity. Background technique [0002] China is the country with the richest rare earth resources in the world. Ionic rare earths in my country are distributed in Jiangxi, Guangdong, Guangxi, Hunan, Fujian, Yunnan, Zhejiang and other provinces. Ionic rare earth ores mainly occur in the weathered crust of granite and volcanic rocks, located in remote mountainous areas, with scattered mining areas and numerous ore spots. The leaching agent is ammonium sulfate, the concentration of the leaching solution is 2% to 3%, and the equivalent ammonia nitrogen concentration is 5000 to 8000mg / L, the hydrogeological conditions determine that the leaching solution leaks into the groundwater and is exposed to the surface in the form of short runoff, which brings harm to the regional surface water e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06F16/29
CPCG06Q10/04G06Q50/02G06F16/29
Inventor 陈斌祝怡斌李青鞠丽萍陈谦霍汉鑫陈玉福
Owner BEIJING MINING & METALLURGICAL TECH GRP CO LTD
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