Generalized Fick's Law and Fractional ADE for Pollution Transport in a River: Detailed Derivation
By Sangdan Kim, M. Kavvas. 2006
68 citations recorded by the source corpus.
Subfields: Environmental Engineering, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/25f0bb26bf574127f7aff90d3ac4a286922bef96
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Mark M. Meerschaert
- Yong Zhang
- Donald M. Reeves
- David A. Benson
- Chae-Young Lim
- Paramita Chakraborty
- Charles Tadjeran
- Boris Baeumer
In Modeling and Simulation
- Mark M. Meerschaert
- Yong Zhang
- Donald M. Reeves
- David A. Benson
- Chae-Young Lim
- Paramita Chakraborty
- Charles Tadjeran
- Fawang Liu
Citations in the corpus
- Time and space nonlocalities underlying fractional-derivative models: Distinction and literature review of field applications (2009, background): “where the dispersive term D@ (1)Cðx; tÞ=@xa 1 follows the fractional (also called the generalized) Fick’s law [28,77,117,127].”
- Parameter estimation for fractional transport: A particle‐tracking approach (2009, methodology): “[22] The methods of this paper were used to fit the FADE (1) to breakthrough curve data from a tracer test reported by Phanikumar et al. [2007]. The Red Cedar River is a fourth-order stream in south central Michigan, United States, that drains a landscape dominated by agriculture and urbanization.”