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Application of probabilistic analogy to groundwater contamination problems
Title
Application of probabilistic analogy to groundwater contamination problems.
Creator
Qiu, Xin., Florida Atlantic University, Su, Tsung-Chow, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
Abstract/Description
This thesis addresses the groundwater contamination problem from a probabilistic point of view. The objective of this study is to obtain analytical solutions for the backward type Kolmogorov equations governing certain crucial variables in the case of a two-dimensional medium. These include the rate at which pollutants enter the protected zone and the length of time that a pollutant particle takes to travel from a given location to the boundary of the protected zone. It is assumed that the...
Show moreThis thesis addresses the groundwater contamination problem from a probabilistic point of view. The objective of this study is to obtain analytical solutions for the backward type Kolmogorov equations governing certain crucial variables in the case of a two-dimensional medium. These include the rate at which pollutants enter the protected zone and the length of time that a pollutant particle takes to travel from a given location to the boundary of the protected zone. It is assumed that the groundwater flow is horizontal and uniform, and that a protected zone is located downstream. Analytical solutions are obtained by using the techniques of Laplace transform and separation of variables. Numerical results are given for two cases, one with flow coming from a boundary which is imperious to the pollutant, and another with flow coming from infinity.
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Date Issued
1993
PURL
http://purl.flvc.org/fcla/dt/14980
Subject Headings
Groundwater--Pollution--Mathematical models, Groundwater flow--Mathematical models, Pollutants
Format
Document (PDF)
Risk of injection using reclaimed water for aquifer recharge using rotavirus as surrogate contaminant
Title
Risk of injection using reclaimed water for aquifer recharge using rotavirus as surrogate contaminant.
Creator
Phonpornwithoon, Pollop, Bloetscher, Frederick, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description
Groundwater aquifers are precious resources that has been serving human consumption for many centuries. This resource is pristine in comparison with surface waters such as lakes and canals, however, as population grows exponentially so does the demand for groundwater and the need to study the potential of groundwater replenishment programs. The injection of treated water or wastewater into an aquifer is a method to protect this resource for current and future generations. Health concerns...
Show moreGroundwater aquifers are precious resources that has been serving human consumption for many centuries. This resource is pristine in comparison with surface waters such as lakes and canals, however, as population grows exponentially so does the demand for groundwater and the need to study the potential of groundwater replenishment programs. The injection of treated water or wastewater into an aquifer is a method to protect this resource for current and future generations. Health concerns would be expected since migration of water of “impaired quality” can affect the drinking water by contamination. Regulatory barriers resulting from the perceived risks of adverse health effects from pathogens such as viruses have limited the concept of this impaired water resources from being used for groundwater replenishment programs. The objective of this study is to examine the risk assessment using computational modeling with MODFLOW and MT3D groundwater transport simulation. The results from the simulation showed that after two years, the risk of contamination based on concentration contours from the injection well to the production wellfields for the City of Hollywood stabilized below 10- 6. The risk assessment provided important aspect to demonstrate the concept of using injection of treated water as an option for groundwater replenishment.
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Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FA00004317, http://purl.flvc.org/fau/fd/FA00004317
Subject Headings
Aquifer storage recovery, Artificial grounddwater recharge, Drinking water -- Contamination, Environmental health -- Mathematical models, Groundwater -- Pollution -- Mathematical models, Health risk assessment, Viral pollution of water
Format
Document (PDF)
Farfield modeling of the Boynton Inlet plume using sulfur hexafluoride as tracer
Title
Farfield modeling of the Boynton Inlet plume using sulfur hexafluoride as tracer.
Creator
Pire-Schmidt, Joaquin., College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description
The analysis and modeling of the coastal farfield behavior of inlet discharge plumes is the key to understanding the fate of pollutants discharged into the ocean. These plumes disperse in chaotic and unpredictable patterns. Theoretical models are based on the average conditions and calibrated to the results of tracer studies. Data and models for freshwater discharges in coastal ocean systems are limited because of the lack of adequate tracers. On February, 2007, a tracer study was conducted...
Show moreThe analysis and modeling of the coastal farfield behavior of inlet discharge plumes is the key to understanding the fate of pollutants discharged into the ocean. These plumes disperse in chaotic and unpredictable patterns. Theoretical models are based on the average conditions and calibrated to the results of tracer studies. Data and models for freshwater discharges in coastal ocean systems are limited because of the lack of adequate tracers. On February, 2007, a tracer study was conducted on the Boynton Inlet, Florida, using sulfur hexafluoride (SF6) tracer. The objective of this study is to provide methods of analysis for the sample data collected during the experiment. The detected tracer concentrated in a bolus that migrated north of the inlet at velocities lower than predicted by the current data. The plume was successfully modeled with a Gaussian plume model, with 90% of the SF6 predictions having less than 4.6 pptr error.
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Date Issued
2009
PURL
http://purl.flvc.org/FAU/186771
Subject Headings
Plumes (Fluid dynamics), Water, Pollution, Sedimentation and deposition, Environmental aspects, Pollution, Mathematical models
Format
Document (PDF)
Artificial neural network prediction of ground-level ozone concentration in Palm Beach County
Title
Artificial neural network prediction of ground-level ozone concentration in Palm Beach County.
Creator
Crumiere, Mylene., Florida Atlantic University, Scarlatos, Panagiotis (Pete) D.
Abstract/Description
The purpose of this study was to develop a user-friendly mathematical model for prediction of daily, ground level ozone concentration in Palm Beach County, Florida. The focus of this project was to investigate the correlation between hourly ozone concentrations and pre-existing pollutant levels and meteorological data. An artificial neural network model was applied, involving a backpropagation algorithm and the tangent sigmoid as the transfer function. Surface meteorological data and upper...
Show moreThe purpose of this study was to develop a user-friendly mathematical model for prediction of daily, ground level ozone concentration in Palm Beach County, Florida. The focus of this project was to investigate the correlation between hourly ozone concentrations and pre-existing pollutant levels and meteorological data. An artificial neural network model was applied, involving a backpropagation algorithm and the tangent sigmoid as the transfer function. Surface meteorological data and upper air data such as pressure, temperature, dew point temperature, wind speed and wind direction were included in the model, along with the ozone concentration in the hour previous to the forecast. Based on the model results, the 8-hour average ozone concentration is to be forecasted. This will assist state and local air pollution officials in providing the general public with early notice of an impending air quality problem.
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Date Issued
1999
PURL
http://purl.flvc.org/fcla/dt/15723
Subject Headings
Neural networks (Computer science), Air--Pollution--Mathematical models, Air--Pollution--Florida--Palm Beach County, Ozone--Forecasting
Format
Document (PDF)
Modeling of gasoline emissions from stationary and mobile sources at Port Everglades
Title
Modeling of gasoline emissions from stationary and mobile sources at Port Everglades.
Creator
Kimmlingen, Martina M., Florida Atlantic University, Scarlatos, Panagiotis (Pete) D., College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description
Available air quality data has been analyzed using the Industrial Source Complex Dispersion Model (ISC3). The FORTRAN program Mobile 5a was utilized to obtain the emission factors. Concerning the toxic volatile organic compounds, the simulations indicate that benzene exceeded the previous permissible air quality standard. Toluene, ethylbenzene and xylene values remained within allowable concentration levels. Long-term annual benzene emissions from stationary sources exceeded the former...
Show moreAvailable air quality data has been analyzed using the Industrial Source Complex Dispersion Model (ISC3). The FORTRAN program Mobile 5a was utilized to obtain the emission factors. Concerning the toxic volatile organic compounds, the simulations indicate that benzene exceeded the previous permissible air quality standard. Toluene, ethylbenzene and xylene values remained within allowable concentration levels. Long-term annual benzene emissions from stationary sources exceeded the former reference concentration of 0.12 mug/m 3 about five times per year, whereas the data for 8 and 24 hours were relatively low. Simulation results for the mobile sources demonstrated that the emission factor is a highly sensitive parameter. Possible realistic scenarios at Port Everglades were obtained through varying benzene concentrations. The results are plotted as concentration contours, in order to visualize areas of suspected health risk associated to air pollution. Compared to the Reference Concentration for Chronic Inhalation Exposure, EPA, the modeled results appear significantly less.
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Date Issued
2003
PURL
http://purl.flvc.org/fcla/dt/13123
Subject Headings
Automobiles--Motors--Exhaust gas--Mathematical models, Harbors--Environmental aspects--Florida, Air--Pollution--Mathematical models, Port Everglades (Fort Lauderdale, Fla)
Format
Document (PDF)
Collection and analyses of physical data for deep injection wells in Florida
Title
Collection and analyses of physical data for deep injection wells in Florida.
Creator
Gao, Jie., College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description
Deep injection wells (DIW) in Florida are regulated by the U.S. Environmental Protection Agency (USEPA) and the state of Florida through the Underground Injection Control regulations contained within the Safe Drinking Water Act. Underground injection is defined as the injection of hazardous waste, nonhazardous waste, or municipal waste below the lowermost formation containing an underground source of drinking water within one-quarter mile of the wellbore. Municipalities in Florida have been...
Show moreDeep injection wells (DIW) in Florida are regulated by the U.S. Environmental Protection Agency (USEPA) and the state of Florida through the Underground Injection Control regulations contained within the Safe Drinking Water Act. Underground injection is defined as the injection of hazardous waste, nonhazardous waste, or municipal waste below the lowermost formation containing an underground source of drinking water within one-quarter mile of the wellbore. Municipalities in Florida have been using underground injection as an alternative to surface disposal of treated domestic wastewater for nearly 40 years. The research involved collecting data as of September, 2007 on all the Class I DIWs in the state of Florida and evaluating the differences between them. The analysis found regional differences in deep well practice and canonical correlation analyses concluded that depth below the USDW is the most significant factor to prevent upward migration of the injected fluid.
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Date Issued
2010
PURL
http://purl.flvc.org/FAU/2796085
Subject Headings
Groundwater flow, Mathematical models, Artificial groundwater recharge, Groundwater, Pollution, Management, Deep-well disposal
Format
Document (PDF)