%0 Dataset
%T Data set of measured and predicted water inflow in Pingshuo mining area, Shuozhou City, Shanxi Province (January 2014 July 2016)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/75bf91d0-67ba-425b-9c4d-d64d8c92be28
%W NCDC
%R 10.12072/ncdc.UTCMW.db2151.2022
%A Shi Xiaoqing
%K Water inflow;numerical method;GMS software;flow function
%X This data set uses numerical methods to predict and study the water inflow in Pingshuo mining area, Shuozhou City, Shanxi Province. The numerical method uses GMS (ground water modeling system) software and flopy function package in Python to obtain the water inflow data. The flopy function package in GMS (groundwater modeling system) Python developed by brightam young university in the United States establishes the regional groundwater numerical model of Pingshuo mining area, which is generated after the optimization and correction of model parameters. The simulation step of the model is month, and the accuracy of calculation output result is set to 0.1M 3/d.