Development process and height of the mining-induced water fractured zone over the longwall goaf

Abstract Providing accurate prediction methods for mining-induced water fractured zones over the longwall goaf has become increasingly significant because of grand economic and technological challenges deeper extraction. Taking No. 839 coalface in Qingdong mining area as a case study, comprehensive study water-flowing zone (WFFZ) formation process peak height were carried out by radial basis function (RBF) neural network model, parallel electrical monitoring (PEM) technology, numerical simulation model empirical formula method. The results show that destruction does not occur simply layer-by-layer from bottom up. Rather, areas appear first soft layers above goaf. With advance footage, gradually extends to hard layers, WFFZ is formed when fit closely together. Also, change shape related rock mass heterogeneity. In addition, comparison suggest RBF had more accuracy predicting than