Vectorized simulation of groundwater flow and contaminant transport using analytic element method and random walk particle tracking

2017 ◽  
Vol 31 (5) ◽  
pp. 1144-1160 ◽  
Author(s):  
Partha Majumder ◽  
T.I. Eldho
Keyword(s):  
Random Walk ◽  
Groundwater Flow ◽  
Contaminant Transport ◽  
Particle Tracking ◽  
Analytic Element Method ◽  
Analytic Element ◽  
Random Walk Particle Tracking ◽  
Element Method

Area sinks in the analytic element method for transient groundwater flow

1993 ◽  
Vol 29 (12) ◽  
pp. 4121-4129 ◽  
Author(s):  
Willem J. Zaadnoordijk ◽  
Otto D. L. Strack
Keyword(s):  
Groundwater Flow ◽  
Analytic Element Method ◽  
Analytic Element ◽  
Element Method

Analytic Element Method across Fields of Study

2020 ◽  
pp. 1-70
Author(s):  
David R. Steward
Keyword(s):  
Philosophical Perspective ◽  
Analytic Element Method ◽  
Analytic Element ◽  
Fields Of Study ◽  
Wide Range ◽  
Analytic Elements ◽  
Element Method

This chapter introduces the philosophical perspective for solving problems with the Analytic Element Method, organized within three common types of problems: gradient driven flow and conduction, waves, and deformation by forces. These problems are illustrated by classic, well known solutions to problems with a single isolated element, along with their extension to complicated interactions occurring amongst collections of elements. Analytic elements are presented within fields of study to demonstrate their capacity to represent important processes and properties across a broad range of applications, and to provide a template for transcending solutions across the wide range of conditions occurring along boundaries and interfaces. While the mathematical and computational developments necessary to solve each problem are developed in later chapters, each figure documents where its solutions are presented.

scholarly journals Probabilistic Groundwater Flow, Particle Tracking and Uncertainty Analysis for Environmental Receptor Vulnerability Assessment of a Coal Seam Gas Project

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3177
Author(s):  
Dennis Gonzalez ◽  
Sreekanth Janardhanan ◽  
Daniel E. Pagendam ◽  
Daniel W. Gladish
Keyword(s):  
Risk Assessment ◽  
Coal Seam ◽  
Groundwater Flow ◽  
Contaminant Transport ◽  
Particle Tracking ◽  
Gas Wells ◽  
Coal Seam Gas ◽  
Transport Pathway ◽  
Transport Modelling ◽  
Contamination Risk

The production of coalbed methane, or coal seam gas (CSG) in Australia increased 250-fold since the 1990s to around 1502 petajoules in 2019 and continues to expand. Groundwater flow in the aquifers intersected by gas wells could potentially facilitate a transport pathway for migration of contaminants or poorer quality water from deeper formations. While regulatory and mitigation mechanisms are put in place to minimize the risks, quantitative environmental impact assessments are also undertaken. When many gas wells are drilled in a wide area where many potential receptors are also spatially distributed, potential source-receptor combinations are too numerous to undertake detailed contamination risk assessment using contaminant transport modelling. However, valuable information can be gleaned from the analysis of groundwater flow directions and velocities to inform and prioritise contamination risk assessment and can precede computationally challenging stochastic contaminant transport modelling. A probabilistic particle tracking approach was developed as a computationally efficient screening analysis of contamination pathways for a planned CSG development near Narrabri in northern New South Wales, Australia. Particle tracking was run iteratively with a numerical groundwater flow model across a range of plausible parameter sets to generate an ensemble of estimated flow paths through the main Great Artesian Basin aquifer in the area. Spatial patterns of path lines and spatial relationships with potential receptors including neighbouring groundwater extraction wells and hydrologically connected ecological systems were analysed. Particle velocities ranged from 0.5 to 11 m/year and trajectories indicated dedicated contaminant transport modeling would be ideally focused at the local scale where wells are near potential receptors. The results of this type of analysis can inform the design of monitoring strategies and direct new data collection to reduce uncertainty and improve the effectiveness of adaptive management strategies and early detection of impacts.

scholarly journals Reactive Random Walk Particle Tracking and Its Equivalence With the Advection‐Diffusion‐Reaction Equation

2019 ◽  
Vol 55 (1) ◽  
pp. 847-855 ◽  
Author(s):  
Lazaro J. Perez ◽  
Juan J. Hidalgo ◽  
Marco Dentz
Keyword(s):  
Random Walk ◽  
Particle Tracking ◽  
Diffusion Reaction ◽  
Reaction Equation ◽  
Advection Diffusion ◽  
Random Walk Particle Tracking

Random walk particle tracking simulations of non-Fickian transport in heterogeneous media

2010 ◽  
Vol 229 (11) ◽  
pp. 4304-4314 ◽  
Author(s):  
G. Srinivasan ◽  
D.M. Tartakovsky ◽  
M. Dentz ◽  
H. Viswanathan ◽  
B. Berkowitz ◽  
...  
Keyword(s):  
Random Walk ◽  
Particle Tracking ◽  
Heterogeneous Media ◽  
Random Walk Particle Tracking
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