رکورد قبلیرکورد بعدی

" Assessment of the relationship between the spilled LNAPL volume and its thickness in monitoring wells considering the water table fluctuation history "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 54346
Doc. No : TL24300
Call number : ‭3193350‬
Main Entry : Muhammad Saleem
Title & Author : Assessment of the relationship between the spilled LNAPL volume and its thickness in monitoring wells considering the water table fluctuation history\ Muhammad Saleem
College : King Fahd University of Petroleum and Minerals (Saudi Arabia)
Date : 2005
Degree : Ph.D.
student score : 2005
Page No : 168-168 p.
Abstract : The quantification of spilled hydrocarbon is of vital importance and is a first step in the remediation hierarchy. In most cases, watertable elevation and hydrocarbon thickness are the primary field data available to enable the evaluation of the extent of hydrocarbon contamination. However, because of the unavailability of relationship between the spilled hydrocarbon and its thickness in the monitoring wells under dynamic water table conditions, there is a marked paucity of research considering fluctuating water table conditions. A mathematical model was developed to predict the extent of hydrocarbon contamination. Developed model incorporates the water table fluctuation history, hysteresis, and entrapment. An experimental setup was utilized to obtain data on hydrocarbon thickness with the fluctuated water table conditions. The data obtained from the study were used to validate the mathematical model. In the experimental program four runs were performed: Uniform sand and well-graded sand were used with diesel and kerosene. Simulation results using the developed model were compared with experimental as well as results reported in the literature. Critical spilled volumes noted for all four runs were 4.8, 4.3, 4.15, and 3.9 cm3 /cm2 , respectively. Comparison of experimental results based on hydrostatic conditions with the results predicted by different models reported in the literature were also performed. Comparison on the basis of percentage error shows that the developed mathematical model is the best predictor in all four cases (with percentage error of 5.8 to 10.7%, 3.7 to 19.7%, 0.6 to 6.1%, and 1.6 to 10.0% respectively). Inclusion of water table fluctuation history in a hysteretic entrapment model was shown to have an impact on the predictions. Hydrocarbon/groundwater interface fluctuations correlate inversely with the hydrocarbon thickness in monitoring wells. It was noted that the amount of hydrocarbon in the monitoring well was at a maximum when the water table elevation was at its historically low value, and vice versa. Comparison with experimental results shows that the model predictions are in close agreement with the experimental data. The model over predicted the results in the range of 16.2 to 85.1%, 7.9 to 47.2%, 6.4 to 70.3%, and 6.7 to 43.4% in all four cases respectively. It was found that the sensitivity of the developed model with sand porosity and LNAPL density is quite low. Making the use of the model more reliable.
Subject : Applied sciences; LNAPL; Monitoring wells; Water table; Civil engineering; Environmental engineering; 0543:Civil engineering; 0775:Environmental engineering
Added Entry : King Fahd University of Petroleum and Minerals (Saudi Arabia)
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3193350_12347.pdf
3193350.pdf
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