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Uncertainty Quantification in Injection and Soil Characteristics for Biot’s Poroelasticity Model

  • Menel RahrahEmail author
  • Fred Vermolen
Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 126)

Abstract

As demand for water increases across the globe, the availability of freshwater in many regions is likely to decrease due to a changing climate, an increase in human population and changes in land use and energy generation. Many of the world’s freshwater sources are being drained faster than they are being replenished. To solve this problem, new techniques are developed to improve and optimise renewable groundwater sources, which are an increasingly important water supply source globally. One of this emerging techniques is rainwater storage in the subsurface. In this paper, different methods for rainwater infiltration are presented. Furthermore, Monte Carlo simulations are performed to quantify the impact of variation in the soil characteristics and the infiltration parameters on the infiltration rate. Numerical results show that injection pulses may increase the amount of water that can be injected into an aquifer.

Notes

Acknowledgements

This project is supported by the Dutch Technology Foundation STW (project number 13263) and the members of foundation O2DIT (Foundation for Research and Development of Sustainable Infiltration Techniques).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Delft Institute of Applied MathematicsDelft University of TechnologyDelftThe Netherlands

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