Joint identification of contaminant source and aquifer geometry in a sandbox experiment with the restart ensemble Kalman filter
Author:
Funder
Spanish Ministry of Economy and Competitiveness
Spanish Ministry of Education, Culture and Sports
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference36 articles.
1. State of the art report on mathematical methods for groundwater pollution source identification;Atmadja;Environ. For.,2001
2. A linked simulation-optimization model for solving the unknown groundwater pollution source identification problems;Ayvaz;J. Contam. Hydrol.,2010
3. Mathematical methods for hydrologic inversion: the case of pollution source identification;Bagtzoglou;Water Pollut.,2005
4. Application of particle methods to reliable identification of groundwater pollution sources;Bagtzoglou;Water Resour. Manage.,1992
5. Simultaneous identification of the pollutant release history and the source location in groundwater by means of a geostatistical approach;Butera;Stoch. Env. Res. Risk Assess.,2013
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