scholarly journals Three-dimensional contaminant plume dynamics in the vadose zone: Simulation of the 241-T-106 single-shell tank leak at Hanford

1990 ◽  
Author(s):  
J.L. Smoot ◽  
B. Sagar
2018 ◽  
Vol 211 ◽  
pp. 15-25 ◽  
Author(s):  
Simin Akbariyeh ◽  
Shannon Bartelt-Hunt ◽  
Daniel Snow ◽  
Xu Li ◽  
Zhenghong Tang ◽  
...  

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 681
Author(s):  
Song Bo ◽  
Jinfeng Liu

The Richards’ equation is widely used in the modeling soil water dynamics driven by the capillary and gravitational forces in the vadose zone. Its state and parameter estimation based on field soil moisture measurements is important and challenging for field applications of the Richards’ equation. In this work, we consider simultaneous state and parameter estimation of systems described by the three dimensional Richards’ equation with multiple types of soil. Based on a study on the interaction between subsystems, we propose to use decentralized estimation schemes to reduce the complexity of the estimation problem. Guidelines for subsystem decomposition are discussed and a decentralized estimation scheme developed in the framework of moving horizon state estimation is proposed. Extensive simulation results are presented to show the performance of the proposed decentralized approach.


2007 ◽  
Author(s):  
Christopher F. Brown ◽  
Michelle M. Valenta ◽  
R. Jeffrey Serne ◽  
Bruce N. Bjornstad ◽  
David C. Lanigan ◽  
...  

Author(s):  
Norman L. Jones ◽  
R. Jeffrey Davis

Before remediation of a site with contaminated soil or groundwater, the contaminant plume must first be characterized. This involves sampling the contaminant concentration at a set of locations in and around the contaminated area. To present the measured concentrations in a meaningful form, the concentrations are typically interpolated to the nodes of a three-dimensional grid, and the plume is visualized by constructing iso-surfaces from the gridded data. The critical step in this process is the interpolation stage. Improper application of an interpolation scheme can result in grossly misleading three-dimensional plume maps. There are a number of problems that often occur when interpolating contaminant plume data, including generation of negative concentrations, oscillation of interpolated values, improper estimation of maximum concentrations, and skewing of the results due to data clustering. These and other difficulties associated with plume characterization are discussed, along with a simple set of guidelines for detecting and overcoming these problems.


2007 ◽  
Author(s):  
Kirk J. Cantrell ◽  
John M. Zachara ◽  
P. Evan Dresel ◽  
Kenneth M. Krupka ◽  
R. Jeffrey Serne

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