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Dataset of measured and predicted water inflow in Pingshuo mining area, Shuozhou City, Shanxi Province (January 2014 July 2016)
  • 2022/05/31 16:46
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English name
Dataset of measured and predicted water inflow in Pingshuo mining area, Shuozhou City, Shanxi Province (January 2014 July 2016)
CSTR
CSTR:11738.11.ncdc.UTCMW.db2151.2022
DOI
10.12072/ncdc.UTCMW.db2151.2022
Share type
Online
Category
Others
source site
Technology and Demonstration of High Efficiency Utilization of Mine Water in Large Coal Mine and Nonferrous Mine
contributors
Shi Xiaoqing
Datasets description

    This dataset applies numerical methods to predict and study water inflow in the Pingshuo mining area of Shuozhou City, Shanxi Province. The numerical method uses GMS (Groundwater Modeling System) software and the Flopy function package in Python to obtain water inflow data. The Flopy function package in the GMS (Groundwater Modeling System) Python developed by Brigham Young University in the United States is used to establish a numerical model of groundwater in the Pingshuo mining area. After optimizing and correcting the model parameters, the model is generated with a simulation step size of months, and the accuracy of the calculated output results is set to 0.1m3/d.

Base information
collect time 2014/01/01  -  2016/07/31
collect place Shuozhou City, Shanxi Province
data size 593.7 KiB
data format Excel
Coordinate system
Data thumbnail
Data source description

    Numerical simulation, generated independently.

Data processing method

    The numerical method uses GMS (Groundwater Modeling System) software and the Flopy function package in Python to obtain water inflow data, while the water inflow data of the large well method and the collection gallery method are calculated using relevant formulas.

Data quality description

    The data quality is good.

Project information
# number name type
1 2018YFC0406400 National key R & D plan
Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.
Usage statement: "The dataset of measured and predicted water inflow in Pingshuo Mining Area, Shuozhou City, Shanxi Province (January 2014 July 2016)" is sourced from the National Key Research and Development Program "Efficient Utilization Technology and Demonstration of Mine Water in Large Coal Mines and Nonferrous Mines" (Project No. 2018YFC0406402).

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. Shi Xiaoqing. Dataset of measured and predicted water inflow in Pingshuo mining area, Shuozhou City, Shanxi Province (January 2014 July 2016). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2022. https://cstr.cn/CSTR:11738.11.ncdc.UTCMW.db2151.2022.
  2. Shi Xiaoqing. Dataset of measured and predicted water inflow in Pingshuo mining area, Shuozhou City, Shanxi Province (January 2014 July 2016). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2022. https://www.doi.org/10.12072/ncdc.UTCMW.db2151.2022.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 _ncdc_meta_.json 4.0 KiB
2 山西省朔州市平朔矿区涌水量实测值与预测值数据集（2014年1月-2016年7月）.zip 593.7 KiB
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How to get the data 
east 111.85
west 113.55
south  39.07
north  40.25
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Service information
contacts:
Min Yufang
phone:
0931-4967596
mailbox:
ncdc@lzb.ac.cn
Contact information
contributors:
Shi Xiaoqing
author:
Shi Xiaoqing
manager:
MIN Yufang

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