2018
DOI: 10.1007/s10230-018-0541-1
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Prediction of Water Inrush Areas Under an Unconsolidated, Confined Aquifer: The Application of Multi-information Superposition Based on GIS and AHP in the Qidong Coal Mine, China

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Cited by 27 publications
(13 citation statements)
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“…It is described as a way to convert intangible factors into numerical values, following which a series of pairwise comparisons can be carried out based on the degree of importance of each influencing factor to calculate the weight of each factor. This method solves the problem of evaluating factors that are difficult to quantify or prioritize [32][33][34]; the basic steps are as follows:…”
Section: Analytical Hierarchy Process (Ahp)mentioning
confidence: 99%
“…It is described as a way to convert intangible factors into numerical values, following which a series of pairwise comparisons can be carried out based on the degree of importance of each influencing factor to calculate the weight of each factor. This method solves the problem of evaluating factors that are difficult to quantify or prioritize [32][33][34]; the basic steps are as follows:…”
Section: Analytical Hierarchy Process (Ahp)mentioning
confidence: 99%
“…Currently, remarkable theory and practice bases have been achieved by research carried out on the failure law, water inrush mechanism, and water inrush prediction [10][11][12][13][14][15][16][17][18]. Yin et al [19] developed a numerical model to predict the time and the longwall locations of flood occurrences.…”
Section: Introductionmentioning
confidence: 99%
“…Hu et al obtained the weights of the evaluation factors through AHP and the entropy weight method and further determined water inrush risk zonation by using GIS technology [15]. Similar studies also include Liu et al [16], Chen et al [17], and Ruan et al [18]. This type of method can better solve the problem of water inrush prediction [19].…”
Section: Introductionmentioning
confidence: 99%