Interaction prediction between groundwater and quarry extension using discrete choice models and artificial neural networks

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• 作者：Johan Barthélemy ; Timoteo Carletti ; Louise Collier…
• 关键词：Interaction index ; Discrete choice model ; Neural network ; Dewatering ; Groundwater ; Extractive activity
• 刊名：Environmental Earth Sciences
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：75
• 期：23
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Geology; Hydrology/Water Resources; Geochemistry; Environmental Science and Engineering; Terrestrial Pollution; Biogeosciences;
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-6299
• 卷排序：75

文摘

Groundwater and rock are intensively exploited in the world. When a quarry is deepened, the water table of the exploited geological formation might be reached. A dewatering system is therefore installed so that the quarry activities can continue, possibly impacting the nearby water catchments. In order to recommend an adequate feasibility study before deepening a quarry, we propose two interaction indices between extractive activity and groundwater resources based on hazard and vulnerability parameters used in the assessment of natural hazards. The levels of each index (low, medium, high, very high) correspond to the potential impact of the quarry on the regional hydrogeology. The first index is based on a discrete choice modeling methodology, while the second is relying on an artificial neural network. It is shown that these two complementary approaches (the former being probabilistic, while the latter fully deterministic) are able to predict accurately the level of interaction. Their use is finally illustrated by their application on the Boverie quarry and the Tridaine gallery located in Belgium. The indices determine the current interaction level as well as the one resulting from future quarry extensions. The results highlight the very high interaction level of the quarry with the gallery.