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Title: Sulfate analysis in saline waters using an automated turbidimetric method.
Creator: Montgomery, John R., Bricker, B., Harbor Branch Oceanographic Institute
Date Issued: 1985
PURL: http://purl.flvc.org/fau/fd/FA00007487
Subject Headings: Sulfates--Analysis, Saline waters
Format: Document (PDF)

Title: Sulfate determination in saline waters using an automated turbidimetricmethod.
Creator: Bricker, B., Harbor Branch Oceanographic Institute
Date Issued: 1981
PURL: http://purl.flvc.org/fau/fd/FA00007141
Subject Headings: Sulfates, Sulfates--Measurement, Saline waters, Turbidity
Format: Document (PDF)

Title: Transport of warm, high-salinity water to fringing reefs in the Exuma Cays, Bahamas: implications for coral bleaching.
Creator: Pitts, Patrick A., Harbor Branch Oceanographic Institute
Date Issued: 1999
PURL: http://purl.flvc.org/fau/fd/FA00007051
Subject Headings: Exuma (Bahamas), Salinity, Coral bleaching, Water temperature, Reefs--Bahamas
Format: Document (PDF)

Title: Design and implementation of intelligent control methodologies for reverse osmosis plants.
Creator: Jafar, Mutaz M., Florida Atlantic University, Zilouchian, Ali, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This dissertation presents the design, implementation and application of soft computing methodologies to Reverse Osmosis (RO) desalination technology. A novel intelligent control scheme based on the integration of Neural Network (NN) and Fuzzy Logic (FL) is presented to optimize plants' performance. In the first part of the research work, two optimal NN predictive models, based on backpropagation and Radial Basis Function Networks (RBFN), were developed for three types of RO feed intakes. The...
Show moreThis dissertation presents the design, implementation and application of soft computing methodologies to Reverse Osmosis (RO) desalination technology. A novel intelligent control scheme based on the integration of Neural Network (NN) and Fuzzy Logic (FL) is presented to optimize plants' performance. In the first part of the research work, two optimal NN predictive models, based on backpropagation and Radial Basis Function Networks (RBFN), were developed for three types of RO feed intakes. The predictive models utilized actual operating data for the three RO plants in order to predict system recovery, total dissolved solids and ion product concentration in brine stream A predictive model is proposed based on redistributed receptive fields of RBFN. The proposed algorithm utilizes integration of supervised learning of centers and unsupervised learning of output layer weights. Extensive simulations are presented to demonstrate the effectiveness of the proposed method for generalization on prediction of nonlinear input-output mappings. In the second part of the study, the design of FL control strategy for direct seawater RO system is carried out. The real-time controller design is based on integration of sensory information, predicted outputs, mathematical calculations, and expert knowledge of the process to yield a constant recovery, constant salt rejection and minimum scaling under variable operating conditions. To implement the designed methodology, a 250/800 Gallon per Day (GPD) prototype RO plant with direct Atlantic Ocean intake is constructed at FAU Gumbo Limbo research laboratory. Two types of membrane modules were used for this study: Spiral Wound (SW) and Hollow Fine Fiber (HFF). The prototype plant indeed demonstrated the effectiveness and optimum performance of the proposed design under variable operating conditions. The system achieved a constant recovery of 30% and salt passage of 1.026% while ion product concentration for six major salts were kept below their solubility limits at all time. The implementation of the proposed intelligent control methodology achieved a 4% increase in availability and a 50% reduction in manpower requirements, as well as reduction in overall chemical consumption of the plant. Therefore, it is expected that the cost of producing fresh water from seawater desalination will be decreased using the proposed intelligent control strategy.
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Date Issued: 2000
PURL: http://purl.flvc.org/fcla/dt/12650
Subject Headings: Saline water conversion--Reverse osmosis process, Intelligent control systems
Format: Document (PDF)

Title: Technical Feasibility of Nanofiltration Concentrate Treatment with Low Pressure Reverse Osmosis.
Creator: Toro, Adriana M., Bloetscher, Frederick, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: This study evaluated the technical feasibility o f increasing the typical water recovery of a pilot scale membrane system (85-90%) to 97% by treatment of nanofiltration concentrate with low-pressure reverse osmosis. The study used Biscayne aquifer water (freshwater), and determined that it may be technically feasible to increase the recovery up to approximately 95% when the RO flux is —10 gfd, the feed water pH is reduced to -6.1 with H2 SO4 , and antiscalant in the NF process. The tested...
Show moreThis study evaluated the technical feasibility o f increasing the typical water recovery of a pilot scale membrane system (85-90%) to 97% by treatment of nanofiltration concentrate with low-pressure reverse osmosis. The study used Biscayne aquifer water (freshwater), and determined that it may be technically feasible to increase the recovery up to approximately 95% when the RO flux is —10 gfd, the feed water pH is reduced to -6.1 with H2 SO4 , and antiscalant in the NF process. The tested membranes showed stable and similar performance under the pilot conditions. However, pilot tests were sensitive to pH variations (pH>6.2). The main barrier for increasing the water recovery was fouling caused by iron, carbonate hardness, and iron bacteria. A preliminary cost analysis showed that there is an apparent econom ic advantage when the recovery is greater than 90%. Estimated water cost at 95% recovery is $1.99 compared with $2.69 at the typical 85% recovery.
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Date Issued: 2007
PURL: http://purl.flvc.org/fau/fd/FA00012564
Subject Headings: Saline water conversion--Reverse osmosis process, Water--Purification--Reverse osmosis process, Membrane separation, Membranes (Technology)
Format: Document (PDF)

Title: The analysis of cadmium, chromium, copper, iron, lead, and manganese in estuarine waters.
Creator: Hucks, Michael W., Peterson, Gary N., Montgomery, John R.
PURL: http://purl.flvc.org/fcla/dt/3358618
Subject Headings: Estuaries, Indian River (Fla. : Lagoon), Saline waters--Analysis, Heavy metals--Analysis
Format: Document (PDF)

Title: Toxic Cyanobacteria (blue-green algae) associated with groundwater conduits in the Bahamas.
Creator: Littler, Mark M., Littler, Diane S., Lapointe, Brian E., Barile, Peter J.
Date Issued: 2006
PURL: http://purl.flvc.org/FCLA/DT/2875929
Subject Headings: Cynanobacteria, Marine algae --Antilles, Lesser, Saline waters, Salts --Toxicity testing, Groundwater --Environmental aspects
Format: Document (PDF)

Title: Tidal and long-period exchanges between upper Laguna Madre and Corpus Christi Bay, Texas.
Creator: Smith, Ned P.
Date Issued: 1978
PURL: http://purl.flvc.org/fau/fd/FA00007133
Subject Headings: Laguna Madre (Tex.), Corpus Christi Bay (Tex.), Tidal currents, Water levels--Measurement, Salinity
Format: Document (PDF)

Title: On long-term net flow over Great Bahama Bank.
Creator: Smith, Ned P.
Date Issued: 1995
PURL: http://purl.flvc.org/FCLA/DT/3321410
Subject Headings: Water currents--Measurement, Great Bahama Bank (Bahamas), Wind-pressure--Measurement, Salinity
Format: Document (PDF)

Title: Observations of steady and seasonal salt, heat, and mass transport through a tidal channel.
Creator: Smith, Ned P.
Date Issued: 1995
PURL: http://purl.flvc.org/FCLA/DT/3340503
Subject Headings: Tidal currents, Water temperature, Salinity, Time-series analysis, Exuma (Bahamas)
Format: Document (PDF)

Title: Barometric distillation and the problem of non-condensable gases.
Creator: Martinson, Eiki., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Barometric distillation is an alternative method of producing fresh water by desalination. This proposed process evaporates saline water at low pressure and consequently low temperature; low pressure conditions are achieved by use of barometric columns and condensation is by direct contact with a supply of fresh water that will be augmented by the distillate. Low-temperature sources of heat, such as the cooling water rejected by electrical power generating facilities, can supply this system...
Show moreBarometric distillation is an alternative method of producing fresh water by desalination. This proposed process evaporates saline water at low pressure and consequently low temperature; low pressure conditions are achieved by use of barometric columns and condensation is by direct contact with a supply of fresh water that will be augmented by the distillate. Low-temperature sources of heat, such as the cooling water rejected by electrical power generating facilities, can supply this system with the latent heat of evaporation. Experiments are presented that show successful distillation with a temperature difference between evaporator and condenser smaller than 10ê C. Accumulation of dissolved gases coming out of solution, a classic problem in lowpressure distillation, is indirectly measured using a gas-tension sensor. The results of these experiments are used in an analysis of the specific energy required by a production process capable of producing 15 liters per hour. With a 20ê C difference, and neglecting latent heat, this analysis yields a specific energy of 1.85 kilowatt-hour per cubic meter, consumed by water pumping and by removal of non-condensable gases.
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Date Issued: 2010
PURL: http://purl.flvc.org/FAU/2978949
Subject Headings: Chemistry, Physical and theoretical, Fluid mechanics, Saline water conversion, Renewable energy sources, Groundwater, Purification
Format: Document (PDF)

Title: Computer simulation for the optimization of reverse osmosis seawater desalination pretreatment.
Creator: Corlay, Brieuc., Florida Atlantic University, Haky, Jerome E.
Abstract/Description: A computer program was developed to simulate and optimize the chemical pretreatment of seawater prior to desalination by reverse osmosis. The model was created using LabViewRTM programming language. The automation of the process was achieved using a PID (proportional, integrative, derivative) controller. The effects of a variety of operating conditions were modeled to optimize the chemical pretreatment. We focused on three parameters: hardness removal, iron removal and control of biogrowth....
Show moreA computer program was developed to simulate and optimize the chemical pretreatment of seawater prior to desalination by reverse osmosis. The model was created using LabViewRTM programming language. The automation of the process was achieved using a PID (proportional, integrative, derivative) controller. The effects of a variety of operating conditions were modeled to optimize the chemical pretreatment. We focused on three parameters: hardness removal, iron removal and control of biogrowth. The validity of the model was verified with laboratory scale experiments. In the range of the model, the predicted values differ by a maximum of 11% from experimental results.
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Date Issued: 2003
PURL: http://purl.flvc.org/fcla/dt/13026
Subject Headings: Saline water conversion--Reverse osmosis process, Reverse osmosis--Computer simulation
Format: Document (PDF)

Title: Modeling of reverse osmosis plants using system identification and neural networks.
Creator: Saengrung, Anucha, Florida Atlantic University, Zilouchian, Ali, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Modeling of two reverse osmosis plants at FAU Gumbo Limbo facility and at the city of Boca Raton are investigated. System identification as well as artificial neural networks are utilized to carried out the tasks. The data for a six months operational period of both plants are utilized. The prediction error method and subspace method are utilized to estimate state-space model while the auto regression with extra input (ARX) model is estimated by using the least square method and the...
Show moreModeling of two reverse osmosis plants at FAU Gumbo Limbo facility and at the city of Boca Raton are investigated. System identification as well as artificial neural networks are utilized to carried out the tasks. The data for a six months operational period of both plants are utilized. The prediction error method and subspace method are utilized to estimate state-space model while the auto regression with extra input (ARX) model is estimated by using the least square method and the approximately optimal four-stage instrumental variable method. The training algorithms for artificial neural networks are based on backpropagation and radial basis network function (RBNF). The implementation of each methodology is performed step by step and finally, the results from both methodologies are analyzed and discussed. The results of the proposed study indicate that both system identification and neural networks algorithms can predict the outputs of both RO plants with the acceptable accuracy. Among all methodologies utilized in the thesis, the least square method for the auto regression with the extra input (ARX) model, can provide the best prediction for both RO plants.
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Date Issued: 2002
PURL: http://purl.flvc.org/fcla/dt/12963
Subject Headings: Saline water conversion--Reverse osmosis process, System identification, Neural networks (Computer science)
Format: Document (PDF)

Title: On the hydrography of shelf waters off the central Texas gulf coast.
Creator: Smith, Ned P.
Date Issued: 1980
PURL: http://purl.flvc.org/FCLA/DT/3321406
Subject Headings: Hydrography--Gulf Coast (U.S.), Continental shelf--Gulf Coast (U.S.), Salinity, Water temperature
Format: Document (PDF)

Title: The combined effects of low salinity and Dermo on oysters from the St. Lucie Estuary.
Creator: Baird, Krystal D., Florida Atlantic University, Roesijadi, Guritno
Abstract/Description: The viability of the eastern oyster, Crassostrea virginica, is designated as an ecological performance measure for the management of freshwater inflows to the St. Lucie Estuary, Florida. Thus, oysters derived from the St. Lucie Estuary were tested for their physiological response to stress, measured as altered condition index and RNA/DNA ratios, resulting from changes in salinity and infection by the protozoan parasite Perkinsus marinus, the agent of Dermo, a common oyster disease. Pilot...
Show moreThe viability of the eastern oyster, Crassostrea virginica, is designated as an ecological performance measure for the management of freshwater inflows to the St. Lucie Estuary, Florida. Thus, oysters derived from the St. Lucie Estuary were tested for their physiological response to stress, measured as altered condition index and RNA/DNA ratios, resulting from changes in salinity and infection by the protozoan parasite Perkinsus marinus, the agent of Dermo, a common oyster disease. Pilot studies consisted of the development of a real-time PCR-based assay for P. marinus infection, procedures to infect oysters with the pathogen by injection method and procedures for the measurement of RNA/DNA ratios. The general experimental design was to assess the response of non-injected and injected C. virginica to low salinity challenges. Two scenarios for salinity stress were tested: one in which oysters were subjected to a single reduction in salinity and one in which an initial reduction in salinity was followed by a recovery phase and then subjected to a second challenge of reduced salinity. Condition index was more responsive to changes in salinity regimes than to P. marinus infection. Changes in the RNA/DNA ratio were responsive to the infection status, but not changes in salinity; the pattern of change in the RNA/DNA ratio generally followed changes in the measured levels of infection. The lack of mortalities showed that these oysters were able to tolerate short periods of reduced salinity.
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Date Issued: 2006
PURL: http://purl.flvc.org/fcla/dt/13335
Subject Headings: Freshwater ecology, Ecosystem management, Water quality management, American oyster--Florida, Saint Lucie River Estuary (Fla ), Salinity--Physiological effect
Format: Document (PDF)

Title: Salinity Assessment, Change, and Impact on Plant Stress / Canopy Water Content (CWC) in Florida Bay using Remote Sensing and GIS.
Creator: Selch, Donna, Zhang, Caiyun, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Geosciences
Abstract/Description: Human activities in the past century have caused a variety of environmental problems in South Florida. In 2000, Congress authorized the Comprehensive Everglades Restoration Plan (CERP), a $10.5-billion mission to restore the South Florida ecosystem. Environmental projects in CERP require salinity monitoring in Florida Bay to provide measures of the effects of restoration on the Everglades ecosystem. However current salinity monitoring cannot cover large areas and is costly, time-consuming,...
Show moreHuman activities in the past century have caused a variety of environmental problems in South Florida. In 2000, Congress authorized the Comprehensive Everglades Restoration Plan (CERP), a $10.5-billion mission to restore the South Florida ecosystem. Environmental projects in CERP require salinity monitoring in Florida Bay to provide measures of the effects of restoration on the Everglades ecosystem. However current salinity monitoring cannot cover large areas and is costly, time-consuming, and laborintensive. The purpose of this dissertation is to model salinity, detect salinity changes, and evaluate the impact of salinity in Florida Bay using remote sensing and geospatial information sciences (GIS) techniques. The specific objectives are to: 1) examine the capability of Landsat multispectral imagery for salinity modeling and monitoring; 2) detect salinity changes by building a series of salinity maps using archived Landsat images; and 3) assess the capability of spectroscopy techniques in characterizing plant stress / canopy water content (CWC) with varying salinity, sea level rise (SLR), and nutrient levels. Geographic weighted regression (GWR) models created using the first three imagery components with atmospheric and sun glint corrections proved to be more correlated (R^2 = 0.458) to salinity data versus ordinary least squares (OLS) regression models (R^2 = 0.158) and therefore GWR was the ideal regression model for continued Florida Bay salinity assessment. J. roemerianus was also examined to assess the coastal Everglades where salinity modeling is important to the water-land interface. Multivariate greenhouse studies determined the impact of nutrients to be inconsequential but increases in salinity and sea level rise both negatively affected J. roemerianus. Field spectroscopic data was then used to ascertain correlations between CWC and reflectance spectra using spectral indices and derivative analysis. It was determined that established spectral indices (max R^2 = 0.195) and continuum removal (max R^2= 0.331) were not significantly correlated to CWC but derivative analysis showed a higher correlation (R^2 = 0.515 using the first derivative at 948.5 nm). These models can be input into future imagery to predict the salinity of the South Florida water ecosystem.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004686, http://purl.flvc.org/fau/fd/FA00004686
Subject Headings: Environmental management, Florida Bay (Fla.), Geographic information systems, Geospatial data, Marine ecology, Plant water relationships, Remote sensing, Salinity -- Florida -- Florida Bay -- Measurement
Format: Document (PDF)

HBOI Faculty Contributions (8)	+ -
FAU Theses and Dissertations (7)	+ -
HBOI Technical Reports (1)	+ -

Salinity (5)	+ -
Saline water conversion--Reverse osmosis process (4)	+ -
Saline waters (3)	+ -
Water temperature (3)	+ -
Exuma (Bahamas) (2)	+ -

Tidal currents (2)	+ -
American oyster--Florida (1)	+ -
Chemistry, Physical and theoretical (1)	+ -
Continental shelf--Gulf Coast (U.S.) (1)	+ -
Coral bleaching (1)	+ -
Corpus Christi Bay (Tex.) (1)	+ -
Cynanobacteria (1)	+ -
Ecosystem management (1)	+ -
Environmental management (1)	+ -
Estuaries (1)	+ -
Florida Bay (Fla.) (1)	+ -
Fluid mechanics (1)	+ -
Freshwater ecology (1)	+ -
Geographic information systems (1)	+ -
Geospatial data (1)	+ -
Great Bahama Bank (Bahamas) (1)	+ -
Groundwater (1)	+ -
Groundwater --Environmental aspects (1)	+ -
Heavy metals--Analysis (1)	+ -
Hydrography--Gulf Coast (U.S.) (1)	+ -
Indian River (Fla. : Lagoon) (1)	+ -
Intelligent control systems (1)	+ -
Laguna Madre (Tex.) (1)	+ -
Marine algae --Antilles, Lesser (1)	+ -
Marine ecology (1)	+ -

article (8)	+ -
Electronic Thesis or Dissertation (7)	+ -
technical report (1)	+ -

Florida Atlantic University (6)	+ -
College of Engineering and Computer Science (4)	+ -
Smith, Ned P. (4)	+ -
Department of Computer and Electrical Engineering and Computer Science (3)	+ -
Harbor Branch Oceanographic Institute (3)	+ -

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