Application of the Hybrid Finite Element Mixing Cell method to an abandoned coalfield in Belgium

The Hybrid Finite Element Mixing Cell (HFEMC) method is a flexible modelling technique particularly suited to mining problems. The principle of this method is to subdivide the modelled zone into several subdomains and to select a specific equation, ranging from the simple linear reservoir equation to the groundwater flow in porous media equation, to model groundwater flow in each subdomain. The model can be run in transient conditions, which makes it a useful tool for managing mine closure post-issues such as groundwater rebound and water inrushes. The application of the HFEMC method to an abandoned underground coal mine near the city of Liege (Belgium) is presented. The case study zone has been discretized taking advantage of the flexibility of the method. Then, the model has been calibrated in transient conditions based on both hydraulic head and water discharge rate observation and an uncertainty analysis has been performed. Finally, the calibrated model has been used to run several scenarios in order to assess the impacts of possible future phenomena on the hydraulic heads and the water discharge rates. Among others, the simulation of an intense rainfall event shows a quick and strong increase in hydraulic heads in some zones coupled with an increase in associated water discharge rates. This could lead to stability problems in local hill slopes. These predictions will help managing and predicting mine water problems in this complex mining system

Application of the HFEMC method to an abandoned coalfield in Belgium: From conceptualisation to scenario simulations

The Hybrid Finite Element Mixing Cell (HFEMC) method is a flexible modelling technique particularly suited to mining context (Brouyère et al., 2009). The principle of this method is to subdivide the modelled zone into several subdomains and to select a specific equation, ranging from the simple linear reservoir equation to the groundwater flow in porous media equation, to model groundwater flow in each subdomain. The model can be run in transient conditions, which makes it a useful tool for managing mine closure post-issues such as groundwater rebound and water inrushes. An application of the HFEMC method to an abandoned underground coal mine near the city of Liège (Belgium) is presented. The case study zone has been discretized taking advantage of the flexibility of the method. Then, the model has been calibrated in both steady-state and transient flow regimes based on hydraulic head and water discharge rate observations. Finally, the calibrated model has been used to run several scenarios in order to assess the impacts of possible future phenomena on the hydraulic heads and the water discharge rates. Among others, the simulation of a strong rainfall event shows a quick and strong increase in hydraulic heads in some exploited zones coupled with a strong increase in associated water discharge rates. This could lead to stability problems in the hill slopes near the exploited zones. This kind of predictions can greatly help managing and predicting mine water problems in this particularly complex mining system

2018_Supplement_table_V – Supplemental material for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach

<p>Supplemental material, 2018_Supplement_table_V for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach by Jonas Rote, Alice-Mai-Ly Dingelstadt, Annette Aigner, Michael Bauer, Jana Fiebig, Barbara König, Johanna Kunze, Steffi Pfeiffer, Andrea Pfennig, Esther Quinlivan, Christian Simhandl and Thomas J Stamm in Australian & New Zealand Journal of Psychiatry</p

2018_Supplement_table_I – Supplemental material for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach

<p>Supplemental material, 2018_Supplement_table_I for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach by Jonas Rote, Alice-Mai-Ly Dingelstadt, Annette Aigner, Michael Bauer, Jana Fiebig, Barbara König, Johanna Kunze, Steffi Pfeiffer, Andrea Pfennig, Esther Quinlivan, Christian Simhandl and Thomas J Stamm in Australian & New Zealand Journal of Psychiatry</p

2018_Supplement_table_IV – Supplemental material for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach

<p>Supplemental material, 2018_Supplement_table_IV for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach by Jonas Rote, Alice-Mai-Ly Dingelstadt, Annette Aigner, Michael Bauer, Jana Fiebig, Barbara König, Johanna Kunze, Steffi Pfeiffer, Andrea Pfennig, Esther Quinlivan, Christian Simhandl and Thomas J Stamm in Australian & New Zealand Journal of Psychiatry</p

2018_Supplement_table_III_ – Supplemental material for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach

<p>Supplemental material, 2018_Supplement_table_III_ for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach by Jonas Rote, Alice-Mai-Ly Dingelstadt, Annette Aigner, Michael Bauer, Jana Fiebig, Barbara König, Johanna Kunze, Steffi Pfeiffer, Andrea Pfennig, Esther Quinlivan, Christian Simhandl and Thomas J Stamm in Australian & New Zealand Journal of Psychiatry</p

2018_Supplement_table_II – Supplemental material for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach

<p>Supplemental material, 2018_Supplement_table_II for Impulsivity predicts illness severity in long-term course of bipolar disorder: A prospective approach by Jonas Rote, Alice-Mai-Ly Dingelstadt, Annette Aigner, Michael Bauer, Jana Fiebig, Barbara König, Johanna Kunze, Steffi Pfeiffer, Andrea Pfennig, Esther Quinlivan, Christian Simhandl and Thomas J Stamm in Australian & New Zealand Journal of Psychiatry</p