1. Predicting the Height of the Water-conducting Fractured Zone Based on a Multiple Regression Model and Information Entropy in the Northern Ordos Basin, China.
- Author
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Yang, Peng, Yang, Weifeng, Nie, Yuxu, Saleem, Fahad, Lu, Fei, Ma, Rongkun, and Li, Ruipeng
- Subjects
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ENTROPY (Information theory) , *REGRESSION analysis , *GEOGRAPHIC information systems , *INFORMATION modeling , *MINE water , *INFORMATION theory - Abstract
Predicting the water-conducting fractured zone (WCFZ) height is the key to roof water disaster prevention and environmental protection. Field WCFZ data were collected from 24 working faces of Shendong, Shenfu, Yushen, and Yuheng mining areas in the northern Ordos Basin. A fitting formula was obtained by a multiple regression model and the weight of each factor was calculated by information entropy theory, allowing a prediction of the WCFZ height in the area. The formula was improved by applying a safety factor of 1.33, which met the 95.8% reliability requirements of the samples. Finally, the 31,114 working face of the Jinjie coal mine was selected as a case study. The spatial characteristics of the WCFZ in the study area were analyzed using a geographic information system (GIS) and the WCFZ height was measured using borehole TV. The predicted value was 49.6 m and the field measured value exceeded 42.4 m, making the model-predicted value much closer that predictions calculated with other empirical formulas. The results indicate that this method quantitatively predicted the WCFZ height in the study area and enabled the WCFZ height in the study area to be visualized with GIS technology. It is an effective tool for analyzing and predicting the height of the WCFZ and for preventing mine water inrush. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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