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Articles 61 - 90 of 231
Full-Text Articles in Civil and Environmental Engineering
Generation Of Monthly Precipitation Under Limited Data And Climate Change: An Example From The Upper Blue Nile River Basin, U. Kim, Jagath J. Kaluarachchi, V. Smakhtin
Generation Of Monthly Precipitation Under Limited Data And Climate Change: An Example From The Upper Blue Nile River Basin, U. Kim, Jagath J. Kaluarachchi, V. Smakhtin
Civil and Environmental Engineering Faculty Publications
This work develops a methodology to project the future precipitation in large river basins under limited data and climate change while preserving the historical temporal and spatial characteristics. The computationally simple and reliable conditional generation method (CGM) is presented and applied to generate reliable monthly precipitation data in the upper Blue Nile River Basin of Ethiopia where rain-fed agriculture is prevalent. The results showed that the temporal analysis with the CGM performs better to reproduce the historical long-term characteristics than other methods, and the spatial analysis with the CGM reproduced the historical spatial structure accurately. A 100-year time series analysis …
Particle Composition And Size Distributions In And Around A Deep Pit Swine Operation, Randy S. Martin, P. J. Silva, Kori D. Moore, M. Erupe, V. S. Doshi
Particle Composition And Size Distributions In And Around A Deep Pit Swine Operation, Randy S. Martin, P. J. Silva, Kori D. Moore, M. Erupe, V. S. Doshi
Civil and Environmental Engineering Faculty Publications
The contribution of emissions from agricultural facilities is rapidly becoming a major concern for local and regional air quality. Characterization of particle properties such as physical size distribution and chemical composition can be valuable in understanding the processes contributing to emissions and ultimate fate of particulate matter from agricultural facilities. A measurement campaign was conducted at an Iowa, deep-pit, three-barn swine finishing facility to characterize near-source ambient particulate matter. Size-specific mass concentrations were determined using minivol samplers, with additional size distribution information obtain using optical particle counters. Particulate composition was determined via ion chromatographic analysis of the collected filters. A …
Optimization Model For National Water Master Planning: Design And Documentation, Richard C. Peralta
Optimization Model For National Water Master Planning: Design And Documentation, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Physical distribution system and Balancing and Allocation and Transfer modules descriptors.
Lidar Based Emissions Measurement At The Whole Facility Scale: Method And Error Analysis, Gail E. Bingham, Christian C. Marchant, Vladimir V. Zavyalov, Douglas J. Ahlstrom, Kori D. Moore, Derek S. Jones, Thomas D. Wilkerson, Lawrence E. Hipps, Randy S. Martin, Jerry L. Hatfield, John H. Prueger, Richard L. Pfeiffer
Lidar Based Emissions Measurement At The Whole Facility Scale: Method And Error Analysis, Gail E. Bingham, Christian C. Marchant, Vladimir V. Zavyalov, Douglas J. Ahlstrom, Kori D. Moore, Derek S. Jones, Thomas D. Wilkerson, Lawrence E. Hipps, Randy S. Martin, Jerry L. Hatfield, John H. Prueger, Richard L. Pfeiffer
Civil and Environmental Engineering Faculty Publications
Particulate emissions from agricultural sources vary from dust created by operations and animal movement to the fine secondary particulates generated from ammonia and other emitted gases. The development of reliable facility emission data using point sampling methods designed to characterize regional, well-mixed aerosols are challenged by changing wind directions, disrupted flow fields caused by structures, varied surface temperatures, and the episodic nature of the sources found at these facilities. We describe a three-wavelength lidar-based method, which, when added to a standard point sampler array, provides unambiguous measurement and characterization of the particulate emissions from agricultural production operations in near real …
Final Report For Irrigation Water Quality Monitoring Of The Jordan River, 2008, Richard C. Peralta, Bassel Timani
Final Report For Irrigation Water Quality Monitoring Of The Jordan River, 2008, Richard C. Peralta, Bassel Timani
Civil and Environmental Engineering Faculty Publications
The goal of the Jordan River Water Quality Project is to assess the quality of irrigation water removed from the Jordan River at three diversion locations: Jordan Narrows (JN), Cahoon and Maxfield (CM), and Jordan & Salt Lake Canal (JSLC). During 2008, Salt Lake City Corporation personnel took water samples on 12 dates from April 18 to September 25, 2008. Utah State University Analytical Laboratories (USUAL), an EPAcertified laboratory, performed water analyses on the samples. USUAL is located at Utah State University (USU) in Logan, Utah.
Optimal In-Situ Bioremediation System Design Using Simulated Annealing, H. J. Shieh, Richard C. Peralta
Optimal In-Situ Bioremediation System Design Using Simulated Annealing, H. J. Shieh, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
The presented procedure combines continuous simulated annealing (CSA) heuristic optimization with BIOPLUME II simulation for optimizing in-situ bioremediation system design. The design goal is to minimize the total cost of facility installation and operation needed to achieve contaminant plume containment and cleanup. System design elements include pumping rates and well locations. During optimization, pumping rates are treated as continuous variables, differing from previously reported simulated annealing combinatorial optimization for groundwater management. To improve computation efficiency, CSA annealing schedules employing four different temperature update functions (TUF) are contrasted. Each yields somewhat different optimal designs and requires different computation effort. An adaptive …
Integrated Modeling Of Nitrate Contamination Of Groundwater In Agriculture-Dominated Watersheds, M. Almasri, Jagath J. Kaluarachchi
Integrated Modeling Of Nitrate Contamination Of Groundwater In Agriculture-Dominated Watersheds, M. Almasri, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
This paper presents and implements a framework for modeling the impact of land use practices and protection alternatives on nitrate pollution of groundwater in agricultural watersheds. The framework utilizes the national land cover database (NLCD) of the United State Geological Survey (USGS) grid and a geographic information system (GIS) to account for the spatial distribution of on-ground nitrogen sources and corresponding loadings. The framework employs a soil nitrogen dynamic model to estimate nitrate leaching to groundwater. These estimates were used in developing a groundwater nitrate fate and transport model. The framework considers both point and non-point sources of nitrogen across …
Urban Particulate Matter Casues Er Stress And The Unfolded Protein Response In Human Lung Cells, T. L. Watterson, B. Hamilton, Randy S. Martin, R. A. Coulombe Jr.
Urban Particulate Matter Casues Er Stress And The Unfolded Protein Response In Human Lung Cells, T. L. Watterson, B. Hamilton, Randy S. Martin, R. A. Coulombe Jr.
Civil and Environmental Engineering Faculty Publications
Because of its presumed adverse health effects, particulate air pollution (PM) has received growing attention, but the cellular mechanisms by which PM exerts toxicity are not well elucidated. PM has been associated with early mortality from illnesses that share endoplasmic reticulum (ER) stress as a mechanism of pathogenesis. In this study, we examined whether PM would induce the unfolded protein response (UPR) which is a cellular response to ER stress. Coarse (PM10) and fine (PM2.5) PM was collected from a single location in Northern Utah's Cache Valley during atmospheric inversions occurring in January 2002 and January 2003. Extracts of PM …
Effects Of Pm2.5 Collected From Cache Valley, Ut On Genes Associated With The Inflammatory Response In Human Lung Cells, T L. Watterson, J. Sorensen, Randy S. Martin, R. A. Coulombe Jr.
Effects Of Pm2.5 Collected From Cache Valley, Ut On Genes Associated With The Inflammatory Response In Human Lung Cells, T L. Watterson, J. Sorensen, Randy S. Martin, R. A. Coulombe Jr.
Civil and Environmental Engineering Faculty Publications
In January 2004, the normally picturesque Cache Valley in northern Utah made national headlines with the highest PM2.5 levels in the nation. Epidemiological studies linked exposure to particulate air pollution in other locations with stroke and Alzheimer's disease and to early mortality from all causes, cancer, and cardiopulmonary diseases. To determine potential effects of these particles on human health, human bronchial epithelial cells (BEAS-2B) were cultured with PM2.5collected from various locations in the Cache Valley. These particles were slightly cytotoxic, but more potent than NH4NO3, the major chemical component of Cache Valley PM2.5. Gene expression analysis of PM2.5-exposed cells was …
Regulating Waste Discharge With Fuzzy Effluent Limitations For Toxic Pollutants, Tong Yin, David King Stevens
Regulating Waste Discharge With Fuzzy Effluent Limitations For Toxic Pollutants, Tong Yin, David King Stevens
Civil and Environmental Engineering Faculty Publications
Many traditional water quality standards are based on extreme percentiles; often, there is the risk of making wrong decisions with these standards because of high estimation uncertainty. Standards expressed as fuzzy intervals in the form of [trigger, enforcement limitation] make it possible to control the risks for the discharger and the consumer simul taneously. With fuzzy interval compliance, corrective action is initiated when the trigger is exceeded; noncompliance is declared when the en forcement limitation is exceeded. Fuzzy intervals would digest the risks that are inherent when a single enforcement limitation is used to determine compliance; the risks can be …
Production Of Bio-Hydrogen By Mesophilic Anaerobic Fermentation In An Acid-Phase Sequencing Batch Reactor, D. Y. Cheong, C. L. Hansen, David King Stevens
Production Of Bio-Hydrogen By Mesophilic Anaerobic Fermentation In An Acid-Phase Sequencing Batch Reactor, D. Y. Cheong, C. L. Hansen, David King Stevens
Civil and Environmental Engineering Faculty Publications
The pH and hydraulic retention time (HRT) of an anaerobic sequencing batch reactor (ASBR) were varied to optimize the conversion of carbohydrate-rich synthetic wastewater into bio-hydrogen. A full factorial design using evolutionary operation (EVOP) was used to determine the effect of the factors and to find the optimum condition of each factor required for high hydrogen production rate. Experimental results from 20 runs indicate that a maximum hydrogen production rate of 4,460-5,540 mL/L/day under the volumetric organic loading rate (VOLR) of 75 g-COD/L/day obtained at an observed design point of HRT = 8 h and pH = 5.7. The hydrogen …
Treating Soil Pentachlorophenol (Pcp) At Optimal Conditions Using Heme And Peroxide, Shyi Tien Chen, David King Stevens, Guyoung Kang, M. J. Hsieh
Treating Soil Pentachlorophenol (Pcp) At Optimal Conditions Using Heme And Peroxide, Shyi Tien Chen, David King Stevens, Guyoung Kang, M. J. Hsieh
Civil and Environmental Engineering Faculty Publications
The environmental impact of pentachlorophenol (PCP) has been the subject of extensive research in recent years. Investigations of PCP degradation using both biotic and abiotic methods are extensively reported in literature. Based on some preliminary tests (not shown), an abiotic method was found for oxidative PCP degradation in soil under unsaturated conditions and a neutral pH. Reagents used were heme (a catalyst) and peroxide (an oxidant). From two screening tests (not shown), the heme and peroxide were identified as the most important factors on PCP degradation in highly PCP-contaminated soil. The objective of this study was to determine the optimum …
Impacts Of The 2004 Tsunami On Groundwater In Sri Lanka, T. Illangasekare, S. W. Tyler, T. P. Clement, K. G. Villholth, A. P.G.R.L. Perera, J. Obeysekera, A. Gunatilaka, C. R. Panabokke, D. W. Hyndman, K. J. Cunningham, W-G. Yeh, Jagath J. Kaluarachchi, M-Rien Van Genuchten, K. Jensen
Impacts Of The 2004 Tsunami On Groundwater In Sri Lanka, T. Illangasekare, S. W. Tyler, T. P. Clement, K. G. Villholth, A. P.G.R.L. Perera, J. Obeysekera, A. Gunatilaka, C. R. Panabokke, D. W. Hyndman, K. J. Cunningham, W-G. Yeh, Jagath J. Kaluarachchi, M-Rien Van Genuchten, K. Jensen
Civil and Environmental Engineering Faculty Publications
The 26 December 2004 tsunami caused widespread destruction and contamination of coastal aquifers across southern Asia. Seawater filled domestic open dug wells and also entered the aquifers via direct infiltration during the first flooding waves and later as ponded seawater infiltrated through the permeable sands that are typical of coastal aquifers. In Sri Lanka alone, it is estimated that over 40,000 drinking water wells were either destroyed or contaminated. From February through September 2005, a team of United States, Sri Lankan, and Danish water resource scientists and engineers surveyed the coastal groundwater resources of Sri Lanka to develop an understanding …
Modular Neural Network To Predict The Distribution Of Nitrate In Ground Water Using On-Ground Nitrogen Loading And Recharge Data, M. Almasri, Jagath J. Kaluarachchi
Modular Neural Network To Predict The Distribution Of Nitrate In Ground Water Using On-Ground Nitrogen Loading And Recharge Data, M. Almasri, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
Artificial neural networks have proven to be an attractive mathematical tool to represent complex relationships in many branches of hydrology. Due to this attractive feature, neural networks are increasingly being applied in subsurface modeling where intricate physical processes and lack of detailed field data prevail. In this paper, a methodology using modular neural networks (MNN) is proposed to simulate the nitrate concentrations in an agriculture-dominated aquifer. The methodology relies on geographic information system (GIS) tools in the preparation and processing of the MNN input–output data. The basic premise followed in developing the MNN input–output response patterns is to designate the …
Multi-Criteria Decision Analysis For The Optimal Management Of Nitrate Contamination Of Aquifers, Mohammad N. Almasri, Jagath J. Kaluarachchi
Multi-Criteria Decision Analysis For The Optimal Management Of Nitrate Contamination Of Aquifers, Mohammad N. Almasri, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
We present an integrated methodology for the optimal management of nitrate contamination of ground water combining environmental assessment and economic cost evaluation through multi-criteria decision analysis. The proposed methodology incorporates an integrated physical modeling framework accounting for on-ground nitrogen loading and losses, soil nitrogen dynamics, and fate and transport of nitrate in ground water to compute the sustainable on-ground nitrogen loading such that the maximum contaminant level is not violated. A number of protection alternatives to stipulate the predicted sustainable on-ground nitrogen loading are evaluated using the decision analysis that employs the importance order of criteria approach for ranking and …
Assessment Of Aquifer Vulnerability Due To Heavy Metals Using Ordinal Logistic Regression Analysis, N. K. Twarakavi, Jagath J. Kaluarachchi
Assessment Of Aquifer Vulnerability Due To Heavy Metals Using Ordinal Logistic Regression Analysis, N. K. Twarakavi, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
A methodology using ordinal logistic regression is proposed to predict the probability of occurrence of heavy metals in ground water. The predicted probabilities are defined with reference to the background concentration and the maximum contaminant level. The model is able to predict the occurrence due to different influencing variables such as the land use, soil hydrologic group (SHG), and surface elevation. The methodology was applied to the Sumas-Blaine Aquifer located in Washington State to predict the occurrence of five heavy metals. The influencing variables considered were (1) SHG; (2) land use; (3) elevation; (4) clay content; (5) hydraulic conductivity; and …
Optimizing Integrated Water Resources Management: Data, Tools, And Examples, Richard C. Peralta
Optimizing Integrated Water Resources Management: Data, Tools, And Examples, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Best utilizing water resources requires coordinating their availability and use in time and space. Required can be: spatially and temporally distributed data; simulators to predict system response to stimuli; procedures for defining management goals, constraints, and scenarios; optimizers to compute optimal management strategies; and appropriate strategy implementation techniques. Here, a strategy is a set of controllable groundwater extraction and injection rates and surface water diversions. Simulation/optimization (S/O) models couple simulators and optimizers to compute optimal strategies for posed management problems. S/O models are becoming more commonly used for policy, planning, system design, and management. For example, water planners and managers …
Developed Pumping Strategies For Mather Afb Tce Plume, Richard C. Peralta, Bassel Timani
Developed Pumping Strategies For Mather Afb Tce Plume, Richard C. Peralta, Bassel Timani
Civil and Environmental Engineering Faculty Publications
Accomplishments prior to BCT Meeting/Phone Conference of 14 October 2004 Prior to 14 October 2004, the best pumping strategy USU achieved manually completely contains both PCE and TCE1 (within revised containment zones proposed by USU on that date), at the end of years 2, 3, 4, 5 and 5-year intervals thereafter. This strategy uses two new extraction wells (USUE3 and USUE4). The strategy did not utilize a recently constructed well EW-12B. USU did not previously know about EW-12B and the well package USU received did not indicate a well at its location, cell (3,58,43). On 14 October, USU also learned …
Optimización Para El Normado, Planeamiento, Diseño Y Manejo Del Agua Subterránea, Richard C. Peralta
Optimización Para El Normado, Planeamiento, Diseño Y Manejo Del Agua Subterránea, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Los modelos de Simulación/optimización (S/O) junta modelos de simulación y optimización para calcular estrategias óptimas para el manejo del agua subterránea ante problemas de optimización propuestos. Una estrategia es un conjunto de caudales de extracción e inyección de agua subterráneas distribuidas espacial y temporalmente. Los modelos S/O están llegando a ser más comúnmente usados para el desarrollo de normas, planeamiento, diseño del sistema y manejo. Por ejemplo, los encargados del manejo y planificación del agua algunas veces deben decidir como controlar el uso del agua subterránea para originar un futuro favorable y evitar serios problemas. Los modelos S/O pueden ayudar …
Implications Of On-Ground Nitrogen Loading And Soil Transformations On Ground Water Quality Management, M. Almasri, Jagath J. Kaluarachchi
Implications Of On-Ground Nitrogen Loading And Soil Transformations On Ground Water Quality Management, M. Almasri, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
This paper presents a modeling approach based on a geographic information system (GIS) to estimate the variability of on-ground nitrogen loading and the corresponding nitrate leaching to ground water. The methodology integrates all point and nonpoint sources of nitrogen, the national land cover database, soil nitrogen transformations, and the uncertainty of key soil and land use-related parameters to predict the nitrate mass leaching to ground water. The analysis considered 21 different land use classes with information derived from nitrogen sources such as fertilizer and dairy manure applications, dairy lagoons, septic systems, and dry and wet depositions. Simulations were performed at …
Software For Optimizing International Water Resources Management, Richard C. Peralta, S. Wu
Software For Optimizing International Water Resources Management, Richard C. Peralta, S. Wu
Civil and Environmental Engineering Faculty Publications
The Simulation/Optimization MOdeling System (SOMOS) has modules adapted for a range of international water resource management needs. The SOMOA module is best for field groundwater and conjunctive water management situations. It employs several analytical simulation models and several optimization methods to give appropriate optimal guidance for situations having sparse data. SOMOA requires understanding of the limitations of common analytical equations. It does not require experience in finite difference or element numerical modeling. SOMOS also has modules ideal for situations in which there is sufficient data for numerical modeling or aquifer and stream-aquifer systems. Emphasized here are SOMOA and its applications …
Multi-Objective Conjunctive Use Optimization, H. C. Fayad, Richard C. Peralta
Multi-Objective Conjunctive Use Optimization, H. C. Fayad, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
This paper presents a simulation/optimization model based on artificial neural networks and genetic algorithms for solving multi-objective conjunctive water use problems. The model simulates and optimizes water flows in a hydraulically connected reservoir-stream-aquifer system. It is a powerful tool to help water managers and authorities in developing conjunctive water management strategies and evaluating tradeoffs between conflicting goals.
Optimization Modeling For Groundwater And Conjunctive Use Water Policy Development, Richard C. Peralta, R. Shulstad
Optimization Modeling For Groundwater And Conjunctive Use Water Policy Development, Richard C. Peralta, R. Shulstad
Civil and Environmental Engineering Faculty Publications
Planners must sometimes decide how to restrict or reduce groundwater use to prevent unacceptable future problems. Often there are several alternatives (policies). Comparing policies can involve formulating a sustained groundwater yield optimization problem and computing an optimal groundwater pumping strategy for each. This is easy via the SOMOS simulation/optimization (S/O) model. Subsequent analysis can include: flow simulation to predict transient water level response to pumping; and economic evaluation to estimate costs and returns. Two examples predict the best consequences of potential physical and legal management policies for alluvial and valley basin fill aquifers hydraulically linked to surface waters. Results show …
Multi-Criteria Decision Analysis With Probabilistic Risk Assessment For The Management Of Contaminated Ground Water, I. Khadam, Jagath J. Kaluarachchi
Multi-Criteria Decision Analysis With Probabilistic Risk Assessment For The Management Of Contaminated Ground Water, I. Khadam, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
Traditionally, environmental decision analysis in subsurface contamination scenarios is performed using cost–benefit analysis. In this paper, we discuss some of the limitations associated with cost–benefit analysis, especially its definition of risk, its definition of cost of risk, and its poor ability to communicate risk-related information. This paper presents an integrated approach for management of contaminated ground water resources using health risk assessment and economic analysis through a multi-criteria decision analysis framework. The methodology introduces several important concepts and definitions in decision analysis related to subsurface contamination. These are the trade-off between population risk and individual risk, the trade-off between the …
Modeling And Control Of Vinyl Chloride In Drinking Water Distribution Systems, M Beardsley, Craig D. Adams
Modeling And Control Of Vinyl Chloride In Drinking Water Distribution Systems, M Beardsley, Craig D. Adams
Civil and Environmental Engineering Faculty Publications
In water distribution systems containing PVC pipe manufactured in the “early era” (prior to 1977), vinyl chloride can leach into drinking water resulting in vinyl chloride concentrations exceeding the 2 μg⋅L−1 maximum contaminant level. Field testing of dead-end segments of water distribution systems consisting of early-era PVC pipe was conducted to examine their initial intrapipe vinyl chloride monomer (VCM) concentrations based on a Fickian-diffusion-based leaching model. The experiments showed a wide range of VCM concentrations within early-era PVC pipe ranging from less than 50 to more than 600 mg⋅kg−1. Based on the diffusion modeling approach, a protocol was designed that …
Applicability Of Risk-Based Management And The Need For Risk-Based Economic Decision Analysis At Hazardous Waste Contaminated Sites, I. Khadam, Jagath J. Kaluarachchi
Applicability Of Risk-Based Management And The Need For Risk-Based Economic Decision Analysis At Hazardous Waste Contaminated Sites, I. Khadam, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
Decision analysis in subsurface contamination management is generally carried out through a traditional engineering economic viewpoint. However, new advances in human health risk assessment, namely, the probabilistic risk assessment, and the growing awareness of the importance of soft data in the decision-making process, require decision analysis methodologies that are capable of accommodating non-technical and politically biased qualitative information. In this work, we discuss the major limitations of the currently practiced decision analysis framework, which evolves around the definition of risk and cost of risk, and its poor ability to communicate risk-related information. A demonstration using a numerical example was conducted …
Somos Simulation/Optimization Modeling System, Richard C. Peralta
Somos Simulation/Optimization Modeling System, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
SOMOS (Simulation / Optimization Modeling System) is a family of simulation / optimization (S/O) modules to aid in optimally managing water resources. SOMOS results from twenty years experience developing optimization models and applying them to real-world problems, including 11 pump-and-treat (PAT) systems and numerous water supply problems. SOMOS significantly improves water management or designs and saves money. Its user’s manual provides excellent training in principles of applying optimization to managing aquifer and stream-aquifer systems. It is being incorporated with powerful groundwater modeling and visualization packages.
Practical Simulation /Optimization Modeling For Groundwater Quality And Quantity Management, Richard C. Peralta, Ineke M. Kalwij, Shengjun Wu
Practical Simulation /Optimization Modeling For Groundwater Quality And Quantity Management, Richard C. Peralta, Ineke M. Kalwij, Shengjun Wu
Civil and Environmental Engineering Faculty Publications
Software for mathematically optimizing groundwater management has improved significantly in recent years. The SOMOS code can readily handle large complex plume and water management problems. Most recently, it developed a least-cost $40.82M 30-yr pumping strategy for the 6.58 mile long Blaine NAD plume. That strategy was 19 percent better than the strategy developed simultaneously by an experienced consultant using normal trial and error simulation procedures. The management problem involved 60 stress periods, and well installation and pumping rates that could change every 10 periods. The optimal strategy employed 10 new wells. At a simpler site, SOMOS helped select robust strategies …
Terrain Analysis Using Digital Elevation Models, David G. Tarboton, Daniel Ames
Terrain Analysis Using Digital Elevation Models, David G. Tarboton, Daniel Ames
Civil and Environmental Engineering Faculty Publications
No abstract provided.
Remediation Simulation/Optimization Demonstrations, Richard C. Peralta
Remediation Simulation/Optimization Demonstrations, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Applications of simulation/optimization (S/0) software to develop contamination remediation strategies include formal remediation optimization using heads and gradients (hydraulics-based) and concentrations (risk-based) constraints. The six reported cases involve pump and treat systems, or pump, treat and re-inject systems, together termed PAT systems. We used S/0 modeling to perform hydraulic optimization for two of the sites and transport optimization for four. For four of the six sites, other parties used normal simulation (S) modeling alone to develop pumping strategies. Comparing the S/0 model-developed strategies with the S model-developed strategies showed S/0 modeling benefits ranging up to: (a) 25 percent reduction in …