Coal mining subsidence has an impact on soil moisture, soil acidity and alkalinity, alkaline nitrogen, available phosphorus, available potassium, and organic matter. Among them, the change in soil moisture content is the most significant, with a slight increase in pH value but no significant change, and fluctuations in soil fertility content. Coal mining causes soil cracks and subsidence, leading to a decrease in soil moisture content and an increase in soil alkalinity. Cracks damage the root growth of vegetation and the infiltration of fissure runoff, resulting in a decrease in soil fertility. Through investigation and analysis of the current situation of water supply in the coal mine, it is known that the underground drainage volume during normal water inflow is 35520 m3/d (including 960 m3/d of yellow mud grouting precipitation water), and the actual water inflow can reach up to 52800 m3/d. However, the utilization rate of mine water resources is very low, so a comprehensive utilization plan that adapts to local specific needs is formed for mine water resources. The data is mainly calculated by simulating the water demand of each water point, calculating the daily water volume of each water point, and simulating the effluent quality of each structure. Finally, a water balance chart and efficient utilization approach are produced.
Simulate testing and analysis.
The research area staff collected and prepared soil samples from the Nalin River No. 2 mine field in the Nalin River mining area of Ordos. The soil samples were collected using a Luoyang shovel and sent to China University of Mining and Technology (Beijing) and Kanghui Testing Institution for physical and chemical property analysis. The processing steps were as follows: soil sample collection, soil physical index testing, soil chemical index testing, NDVI simulation, and data processing.
This dataset is processed using SPSS software, plotted using Origin software, and interpreted from historical remote sensing image data to monitor and study key indicators of ecological quality risks in mining areas.
The data quality is good.
| # | number | name | type |
| 1 | 2018YFC0406400 | National key R & D plan |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.ncdc.UTCMW.db2147.2022
10.12072/ncdc.UTCMW.db2147.2022
