Based on uncertainty analysis using numerical models, Nalinhe No.2 Coal Mine in Ordos City, Inner Mongolia Autonomous Region is selected as the research object. The influencing factors include permeability coefficient and water storage coefficient. The specific operation is to increase and decrease the influencing factors one by one year-on-year, and then conduct uncertainty analysis by predicting the water inflow of coal seams. The data source is to change the permeability coefficient and water storage coefficient in the GMS numerical model to obtain the water inflow under different parameter conditions.
The dataset contains four sets of data, including the results of the impact factor treatment for Nalinhe No.2 Coal Mine, the calculation of water inflow under different storage coefficient modes, the calculation of water inflow under different permeability coefficient modes, and the calculation of sensitivity coefficient.
Indoor data analysis, independently generated.
Uncertainty analysis based on numerical models, changing the permeability coefficient and water storage coefficient in the GMS numerical model (Groundwater Modeling System), to obtain the water inflow under different parameter conditions.
The data quality is good.
| # | number | name | type |
| 1 | 2018YFC0406400 | National key R & D plan |
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CSTR:11738.11.ncdc.UTCMW.db2126.2022
10.12072/ncdc.UTCMW.db2126.2022