search
for
 About Bioline  All Journals  Testimonials  Membership  News


International Journal of Environmental Research
University of Tehran
ISSN: 1735-6865
EISSN: 1735-6865
Vol. 3, No. 2, 2009, pp. 317-326
Bioline Code: er09034
Full paper language: English
Document type: Research Article
Document available free of charge

International Journal of Environmental Research, Vol. 3, No. 2, 2009, pp. 317-326

 en Inverse Method to Estimate the Mass of Contamination Source by Comparing Analytical with Numerical Results
Ardestani, M. & Sabahi, M.S.

Abstract

The development of a conceptual model that best accounts for the different parameters influencing LNAPL fate and transport in groundwater is ultimate the key to a successful simulation of LNAPL concentration in groundwater. Characterization of hydrocarbon sources and identification of areas with heavy LNAPL loadings from point and non-point sources is important for land use planners and environmental regulators.Bistoon petrochemical site has discharged the light nonaqueous phase liquid (LNAPL) contamination for 10 months. Since the amount of contamination in this source is not clear and the only available data is the amount of contamination in the observed well, an attempt was made to solve this problem by using inverse method. The amount of source contaminant was found through observed data in the well. In this method the analytical results with numerical ones were compared. Upon computation of the contamination concentration, the mass of contaminants can be calculated by multiplying concentration by volume. The numerical method used is finite difference which is an engine in Modflow program.

Keywords
Contamination, NAPLs, Benzene, Modeling, Numerical method, Analytical method

 
© Copyright 2009 - Graduate Faculty of Environment University of Tehran
Alternative site location: http://ijer.ut.ac.ir/

Home Faq Resources Email Bioline
© Bioline International, 1989 - 2024, Site last up-dated on 01-Sep-2022.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Google Cloud Platform, GCP, Brazil