scholarly journals Soil Contamination, Risk Assessment and Remediation

10.5772/57287 ◽  
2014 ◽  
Author(s):  
Muhammad Aqeel ◽  
Mohd. Jamil ◽  
Ismail Yusoff
Keyword(s):  
Risk Assessment ◽  
Soil Contamination ◽  
Contamination Risk

Soil contamination, risk assessment and nanobioremediation

2021 ◽  
pp. 239-258
Author(s):  
Rajadesingu Suriyaprakash ◽  
Mohammed Junaid Hussain Dowlath ◽  
Sathish Kumar Karuppannan ◽  
Kantha D. Arunachalam
Keyword(s):  
Risk Assessment ◽  
Soil Contamination ◽  
Contamination Risk

scholarly journals Probabilistic indicators for soil and groundwater contamination risk assessment

2020 ◽  
Vol 115 ◽  
pp. 106424 ◽  
Author(s):  
Daniele la Cecilia ◽  
Giovanni M. Porta ◽  
Fiona H.M. Tang ◽  
Monica Riva ◽  
Federico Maggi
Keyword(s):  
Risk Assessment ◽  
Groundwater Contamination ◽  
Contamination Risk

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.

Sign in / Sign up

Export Citation Format

Share Document