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Didier Graillot

Researcher at Mines ParisTech

Publications -  51
Citations -  722

Didier Graillot is an academic researcher from Mines ParisTech. The author has contributed to research in topics: Groundwater & Groundwater model. The author has an hindex of 11, co-authored 48 publications receiving 658 citations. Previous affiliations of Didier Graillot include École Normale Supérieure & Indian Institutes of Technology.

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Coupling groundwater modeling and biological indicators for identifying river/aquifer exchanges

TL;DR: An interdisciplinary approach to the quantitative and qualitative characterization of hydraulic interactions between rivers and shallow aquifers, wherein it outlines the advantages of coupling groundwater modeling with biological markers.
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Analytic elements method and particle swarm optimization based simulation–optimization model for groundwater management

TL;DR: In this paper, the application of the Analytic Element Method (AEM) and particle swarm optimization (PSO) based simulation optimization model for the solution of groundwater management problems is presented.
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Application of Artificial Neural Networks and Particle Swarm Optimization for the Management of Groundwater Resources

TL;DR: The results show that the ANN model can reduce the computational burden significantly as it is able to analyze different scenarios, and the ANN-PSO model is capable of identifying the optimal location of wells efficiently.
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Combined use of groundwater modeling and potential zone analysis for management of groundwater

TL;DR: Results reveal that increasing the discharge of the wells in the potential zones put less stress on the aquifer, and the suggested locations of rainwater harvesting structures also help to reduce the overall decline of groundwater in the area.
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Storm-water management through Infiltration trenches

TL;DR: A solution for the infiltration rate from an infiltration trench and the time required to empty the trench is presented in this article, where the solution is in the form of integrals of complicated functions and requires numerical computation.