Prediction analysis model for groundwater potential based on set pair analysis of a confined aquifer overlying a mining
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ORIGINAL PAPER
Prediction analysis model for groundwater potential based on set pair analysis of a confined aquifer overlying a mining area Shouqiao Shi 1 & Jiuchuan Wei 1
&
Daolei Xie 1 & Huiyong Yin 1 & Liyao Li 1
Received: 27 June 2018 / Accepted: 17 January 2019 # Saudi Society for Geosciences 2019
Abstract One important prerequisite for mine water inrush prevention and water inflow control in a coal mine is groundwater potential mapping. In this study, a synthetical method was developed to evaluate the groundwater potential of a confined aquifer overlying a mining area using the improved set pair analysis (ISPA) theory. Considering the influence of the hydrogeological and geological conditions, the characteristics of rock stratum and geological tectonics were used as the two major aspects to evaluate groundwater potential. The degree of connection was determined by the relationship between the total number of element characteristics and the number of identical, contradictory, and discrepant terms. The weight of evaluation indices was calculated based on information entropy, and the grade of groundwater potential was determined by the improved evaluation criterion of set pair analysis. To validate the practicality of the method, a case study at Hongliu coal mine was carried out. An entropy-set pair analysis-cosine model was constructed and five evaluation indices were selected: sandstone thickness, flushing fluid consumption, core recovery, fault fractal dimension, and fold fractal dimension. The groundwater potential of the study area was classified into four levels. The quantitative results were validated with data from field observations and compared with the results of geographic information systems (GIS), which were found to be in very good agreement. Keywords Groundwater potential map . Set pair analysis (SPA) . Confined aquifer . Connection degree
Introduction Both qualitative and quantitative assessment of groundwater resources are required for estimating groundwater potential zones (Naghibi et al. 2017; Naghibi and Dashtpagerdi 2017). In the last decade, the application of geographic information system (GIS)-based models to produce groundwater potential maps has been widely promoted (Jha et al. 2007; Nobre et al. 2007; Tweed et al. 2007; Prasad et al. 2008; Chowdhury et al. 2009; Ganapuram et al. 2009; Dar et al. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s12517-019-4267-6) contains supplementary material, which is available to authorized users. * Jiuchuan Wei [email protected] * Daolei Xie [email protected] 1
College of Earth Sciences and Engineering, Shandong University of Science and Technology, Qingdao 266590, People’s Republic of China
2010; Oh et al. 2011; Magesh et al. 2012; Yeh et al. 2014; Moghaddam et al. 2015; Agarwal and Garg 2016; Mahmoud and Alazba 2016; Naghibi et al. 2017). In addition, many models and techniques have also been used for groundwater potential mapping, such as numerical modeling (Chenini and Mammou 2010), frequency
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