Using GIS and Fractal Theory to Evaluate Degree of Fault Complexity and Water Yield
| Autor: | Binbin Yang, Qin Liu, Junhong Yuan, Lihong Duan |
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| Rok vydání: | 2018 |
| Předmět: |
Geographic information system
business.industry Coal mining Analytic hierarchy process 010501 environmental sciences 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology Fault (power engineering) computer.software_genre 01 natural sciences Weighting Complexity index Fractal Data mining business Linear combination human activities computer 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Mine Water and the Environment. 38:261-267 |
| ISSN: | 1616-1068 1025-9112 |
| DOI: | 10.1007/s10230-018-0563-8 |
| Popis: | This paper presents a way to evaluate the degree of fault complexity in coal mines using the geographic information system (GIS) and fractal theory. First, the factors that affect the degree of complexity of coal mine faults are determined. Then, an analytic hierarchy process model is used to calculate the factor weighting, and an information entropy model is used to improve the weight information. Based on the local weighted linear combination, a fault complexity index is calculated. The proposed method was validated by a case study at the Chensilou coal mine in Henan Province, China. The result indicates that the method is robust; the degree of fault complexity was quantified and categorized. The fault complexity in the studied area consists of simple and moderate faults and the water yield was found to increase with the complexity index, indicating an increased risk of water inrush. |
| Databáze: | OpenAIRE |
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