Numerical modelling of groundwater flow and contaminant transport to Point Pelee marsh, Ontario, Canada

2004 ◽  
Vol 18 (2) ◽  
pp. 293-314 ◽  
Author(s):  
Allan S. Crowe ◽  
Steven G. Shikaze ◽  
Carol J. Ptacek
Keyword(s):  
Numerical Modelling ◽  
Groundwater Flow ◽  
Contaminant Transport ◽  
Point Pelee

scholarly journals Contaminant transport to public water supply wells via flood water retention areas

2009 ◽  
Vol 9 (4) ◽  
pp. 1047-1058 ◽  
Author(s):  
D. Kühlers ◽  
E. Bethge ◽  
G. Hillebrand ◽  
H. Hollert ◽  
M. Fleig ◽  
...  
Keyword(s):  
Numerical Modelling ◽  
Water Supply ◽  
Groundwater Flow ◽  
Contaminant Transport ◽  
Water Retention ◽  
Public Water Supply ◽  
Flood Water ◽  
Soil Zone ◽  
Well Field ◽  
Transport Path

Abstract. The essential processes and mechanisms of the transport of contaminants from a river to a well field via a flood water retention area are presented. The transport is conceptualized as a succession of three phases: (1) contaminant entry into the retention area, (2) passage through the soil zone and (3) transport with the groundwater flow. Depending on the conditions of a given location and on the properties of the contaminants of interest, processes within each transport phase may reduce the concentration of the contaminants at the well field. For the Kastenwoert-Rappenwoert study area, the results of the described processes are shown by chemical and ecotoxicological analyses as well as by numerical modelling. Based on the results of the analyses, it is predicted that some contaminants in the study area will be completely detained along the transport path, while others will be transported as far as the well field, although in significantly reduced concentrations.

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.

A new algorithm for numerical modelling of impurity transport in the frame of statistically homogeneous sharply contrasting media

2019 ◽  
Vol 34 (6) ◽  
pp. 339-351 ◽  
Author(s):  
Petr S. Kondratenko ◽  
Leonid V. Matveev ◽  
Alexander D. Vasiliev
Keyword(s):  
Numerical Modelling ◽  
Contaminant Transport ◽  
Integral Kernel ◽  
Time Intervals ◽  
One Dimensional ◽  
Time Representation ◽  
Impurity Transport ◽  
The One ◽  
Analytical Expressions ◽  
Good Agreement

Abstract A new method is developed to calculate characteristics of contaminant transport (including non-classical regimes) in statistically homogeneous sharply contrasting media. A transport integro-differential equation in the space-time representation is formulated on the basis of the model earlier proposed by one of the authors (L. M.). Analytical expressions for transport characteristics in limiting time intervals in the one-dimensional case are derived. An interpolation form is proposed for the integral kernel of the transport equation. On a basis of this expression, an algorithm is developed for numerical modelling the contaminant transport in statistically homogeneous sharply contrasting media. Trial numerical 1D calculations are performed based on this algorithm. Good agreement was found between the numerical simulation results and the asymptotic analytical expressions.

Numerical Modelling of the Contaminant Transport through Stratified Soil

2008 ◽  
Author(s):  
Tadikonda V. Bharat ◽  
Puvvadi V. Sivapullaiah ◽  
Mehter M. Allam
Keyword(s):  
Numerical Modelling ◽  
Contaminant Transport
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