Ibrahim Djamaluddin

A GIS-based prediction method to evaluate subsidence-induced damage from coal mining beneath a reservoir, Kyushu, Japan

The occurrence of subsidence caused by mining may be a complex process that causes damage to the environment. In the last century there was significant development in prediction methods for calculating surface subsidence. However, because mining may take place by multi-seam extraction, the use of current prediction methods to obtain the distribution of subsidence is a difficult and time-consuming task. Furthermore, it is impracticable to evaluate damage accurately by this method. In this paper, a new prediction method has been developed to calculate 3D subsidence by combining a stochastic model of ground movements and a geographical information system (GIS). All the subsidence calculations are implemented by a computational program, where the components of the GIS are used to fulfil the spatial–temporal analysis function. This subsidence prediction technique has been applied to calculate ground movements resulting from 21 years of coal mining under a reservoir in Japan. Details of movement were sequentially predicted and simulated in terms of years. Furthermore, subsidence-induced damage owing to progressive horizontal strain was assessed. These values conformed to the acceptable strains in reservoir dams, thus ensuring safety against tensile failure of the concrete and consequent flooding.

GIS-Based Computational Method for Simulating the Components of 3D Dynamic Ground Subsidence during the Process of Undermining

Most research has focused on using the subsidence prediction method to calculate final movement at the center line above mining operations and assess the surface structural damage without taking into account the dynamic extraction process. Nevertheless, the occurrence of subsidence caused by underground mining has three-dimensional (3D) time-dependent components of movement in which each of these components has a different effect on the types of structures subject to subsidence. In this paper, a new computational method is proposed to calculate 3D dynamic subsidence during the process of undermining by combining the stochastic theory, the Knothe model, and the Geographic Information System (GIS). A case of 3D dynamic modeling was simulated for a rapid undermining scenario to demonstrate the effect of different advancing mining faces on the development of traveling strain. In addition, an application of the GIS-based method to actual field conditions in coal-mining subsidence in China is presented in this ...