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

Résultats de recherche: Contribution à un journal/une revueArticle

Résumé

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.

langue originaleAnglais
Numéro d'article1467
journalEnvironmental Earth Sciences
Volume75
Numéro de publication23
Les DOIs
étatPublié - 1 déc. 2016

Empreinte digitale

Quarries
quarry
artificial neural network
neural networks
Groundwater
groundwater
Neural networks
hydrogeology
dewatering
prediction
Belgium
water table
rocks
Hazards
Hydrogeology
water
Groundwater resources
Water
Dewatering
natural hazard

Citer ceci

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title = "Interaction prediction between groundwater and quarry extension using discrete choice models and artificial neural networks",
abstract = "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.",
keywords = "Dewatering, Discrete choice model, Extractive activity, Groundwater, Interaction index, Neural network",
author = "Johan Barth{\'e}lemy and Timoteo Carletti and Louise Collier and Vincent Hallet and Marie Moriam{\'e} and Annick Sartenaer",
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AU - Barthélemy, Johan

AU - Carletti, Timoteo

AU - Collier, Louise

AU - Hallet, Vincent

AU - Moriamé, Marie

AU - Sartenaer, Annick

PY - 2016/12/1

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N2 - 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.

AB - 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.

KW - Dewatering

KW - Discrete choice model

KW - Extractive activity

KW - Groundwater

KW - Interaction index

KW - Neural network

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