State of the Art Report on Mathematical Methods for Groundwater Pollution Source Identification

By J. Atmadja, Amvrossios C. Bagtzoglou. 2001

251 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Geophysics

View Paper: https://www.semanticscholar.org/paper/b1dc2eda97f8cdc382039e0ee44aafb8fdc78b69

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Alexander Y. Sun
2. E. Milnes
3. P. Perrochet
4. Scott L. Painter

In Environmental Engineering

1. Alexander Y. Sun
2. E. Milnes
3. G. Wittmeyer
4. P. Perrochet
5. Scott L. Painter

In Geophysics

1. E. Milnes
2. G. Wittmeyer
3. P. Perrochet
4. Scott L. Painter
5. Alexander Y. Sun

Citations in the corpus

• A robust geostatistical approach to contaminant source identification (2007, methodology): “, Skaggs and Kabala, 1994, 1998], the quasi-reversibility method [Skaggs and Kabala, 1995], the marching-jury backward beam equation approach [Atmadja and Bagtzoglou, 2001b; Bagtzoglou and Atmadja, 2003], and recently, the robust least squares (RLS) method [Sun et al., 2006a, 2006b]. Examples of sto”
• Simultaneous identification of a single pollution point-source location and contamination time under known flow field conditions (2007, background): “Atmadja and Bagtzoglou [3] have presented a state of the art report on the mathematical methods that have been developed in the field of source identification.”
• A constrained robust least squares approach for contaminant release history identification (2006, background): “Atmadja and Bagtzoglou [2001a] and Michalak and Kitanidis [2004] provided extensive literature reviews on this subject.”