%0 Dataset
%T Numerical simulation dataset for dynamic prediction of water inflow under the influence of mining in Nalinhe No.2 Mine, Ordos City, Inner Mongolia Autonomous Region (January 2021)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/98e2ebed-a5db-41cb-a6d1-48c7faee728e
%W NCDC
%R 10.12072/ncdc.UTCMW.db2191.2022
%A Shi Xiaoqing
%K Water inflow;groundwater flow;solute transport
%X The excavation, backfilling, and drainage activities during coal mining have a significant impact on the geological structure, hydrogeological parameters, and hydrodynamic conditions of the coalbed water system. Based on the spatiotemporal variation laws of geological structure and hydrogeological parameters of coal seam water system driven by coal mining, this topic constructs a coupled numerical model of groundwater flow and solute transport with structure parameter boundary collaborative dynamic calibration, accurately depicting the structural evolution, parameter variation and boundary transformation process induced during coal mining of coal seam water system, and conducting accurate simulation of the evolution process of mine water and quality.  This dataset is generated through simulation calculations using a self-developed structure parameter boundary collaborative dynamic calibration coupled numerical model for groundwater flow and solute transport. The establishment of the numerical model is based on publicly available information such as geology, hydrogeology, meteorology, and mining area planning in the study area. The model parameters were calibrated using the natural water level and pumping test data from two hydrogeological boreholes, MD23 and MD27, provided in the 2007 "Coal Exploration Report of the Nalinhe Mining Area in Dongsheng Coalfield, Inner Mongolia Autonomous Region". The corrected model can better reflect the flow field characteristics and water balance characteristics in the natural state of the study area. The dynamic prediction data of water inflow is calculated by setting the boundary conditions and disturbance zone parameters of the first mining face at different mining stages in the model. To evaluate the prediction accuracy, this dataset also provides measured water inflow values for comparison. The dataset consists of 10 sets of data, with each set containing 3 data points.