Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 15 of 15
Full-Text Articles in Engineering
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 …
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 …
Optimizing Conjunctive Water Use For Sustainable Production: Tools For The Management Spectrum, Richard C. Peralta, Shengjun J. Wu, H. J. Morel-Seytoux, Fernando Chanduvi
Optimizing Conjunctive Water Use For Sustainable Production: Tools For The Management Spectrum, Richard C. Peralta, Shengjun J. Wu, H. J. Morel-Seytoux, Fernando Chanduvi
Civil and Environmental Engineering Faculty Publications
Making best use of water resources requires coordinating use of groundwater and surface waters--conjunctive use. Conjunctive water management is important on the regional (watershed or aquifer), water district and field scales. Goals might differ for the different administrative levels. A regionally optimal water management strategy is not necessarily optimal for water district managers and individual farmers. Interactions between levels are affected by laws, regulations, traditions and public pressure. To help each organizational level develop water management strategies that best achieve its goals, computer simulation/optimization (S/O) models are useful. Such S/O models couple water flow and transport simulation techniques with formal …
Remax: Software For Optimizing Ground-Water Management, Conjunctive Water Management, And Remediation Design, Richard C. Peralta, Alaa H. Aly
Remax: Software For Optimizing Ground-Water Management, Conjunctive Water Management, And Remediation Design, Richard C. Peralta, Alaa H. Aly
Civil and Environmental Engineering Faculty Publications
REMAX is a software package designed to assist water managers in developing optimal ground water or coordinated ground water/surface water strategies for a wide range of management problems. REMAX uses MODFLOW, MT3D, and other simulation models to develop the response matrix or response surface equations employed in the final optimization model. To address nonlinear systems (e.g., unconfined aquifers) accurately, REMAX uses a modified response-matrix method. REMAX several nonlinear functions to represent a wide variety of nonlinear response surfaces. REMAX can be used for deterministic or reliability-based optimization problems. Decision variables are ground-water extraction/injection rates and/or surface water diversion rates. State …
Optimizing Conjunctive Use And Groundwater Yield, Richard C. Peralta, Rahman Rahimzadegen, Narendra K. Tyagi
Optimizing Conjunctive Use And Groundwater Yield, Richard C. Peralta, Rahman Rahimzadegen, Narendra K. Tyagi
Civil and Environmental Engineering Faculty Publications
Advances in computer power and mathematical optimization procedures can improve planning and developing sustainable irrigation systems. Simulation and optimization models can help plm1 groundwater and conjunctive use strategies to best achieve management goals while satisfying mm1agement a11d physical constraints. Simulation/optimization models that couple calibrated flow and transport simulation models with optimization algorithms can help design the best water management strategies. Mm1agers can be relatively sure that the groundwater system will respond acceptably when appropriate procedures are employed to develop the water management strategies. Presented case studies illustrate situations in which developed strategies simultaneously address conflicting management goals such as: maximizing …
Software For Optimizing Groundwater Or Conjunctive Water Management, Richard C. Peralta, Alaa H. Aly
Software For Optimizing Groundwater Or Conjunctive Water Management, Richard C. Peralta, Alaa H. Aly
Civil and Environmental Engineering Faculty Publications
US/REMAX is a computer program designed to assist water managers in developing optimal groundwater and/or surface water strategies for a wide range of management problems. It employs response matrix, regression and other methods adapted for nonlinear systems. US/REMAX performs deterministic or reliability-based, single- or multi-objective optimization. Decision variables are ground-water extraction/injection and/or surface water diversion. State variables include water flows, stages and concentrations. Hard coded objective functions and constraints are linear, nonlinear, integer or mixed integer. Special constraints can be added to address unusual situations.
Considering Ecological Constraints While Optimizing Sustained Groundwater Yield, Pahvant Valley, Utah, Getachew Belaineh, Richard C. Peralta
Considering Ecological Constraints While Optimizing Sustained Groundwater Yield, Pahvant Valley, Utah, Getachew Belaineh, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Concern for groundwater quality and availability is increasing in Pahvant Valley. Ground-water levels are declining due to intense groundwater extraction for irrigation; water having high total dissolved solids concentration is flowing from the southwest toward the pumping sites; and discharge from natural springs in a wildlife refuge is declining. Transient simulation of aquifer response to 20 years of the 1985 pumping rates (beginning with 1985 groundwater level) predicted that spring discharge would decrease by as much as 87% from 1985 rates. Presented are preliminary pumping strategies that maximize sustainable, steady-state groundwater extraction without unacceptably reducing discharge from the springs. A …
Us/Remax (Vs 2.70): Software For Optimizing Management Of Stream/Aquifer Systems Using The Response Matrix And Related Methods, Richard C. Peralta, Alaa H. Aly
Us/Remax (Vs 2.70): Software For Optimizing Management Of Stream/Aquifer Systems Using The Response Matrix And Related Methods, Richard C. Peralta, Alaa H. Aly
Civil and Environmental Engineering Faculty Publications
US/REMAX is designed to assist water managers in developing optimal groundwater and/or surface water strategies for a wide range of management problems. US/REMAX uses the response matrix method, which assumes that physical system response to stimuli is linear. However, US/REMAX can also address nonlinear systems via cycling. In one application, a strategy computed using US/REMAX required 40% less pumping than one obtained via a normal simulation model. US/REMAX also easily computes tradeoffs for multiobjective problems.
Pc Software For Optimizing Groundwater Contaminant Plume Capture And Containment, Richard C. Peralta, Herminio H. Suguino, Alaa H. Aly
Pc Software For Optimizing Groundwater Contaminant Plume Capture And Containment, Richard C. Peralta, Herminio H. Suguino, Alaa H. Aly
Civil and Environmental Engineering Faculty Publications
Simulation/optimization (S/0) models can be used to speed the process of computing desirable groundwater pumping strategies for plume management. They make the process of computing optimal strategies fairly straightforward and can help minimize the labor and cost of groundwater contaminant cleanup.
Optimizing Conjunctive Water Use In A Dynamic Stream Aquifer System, Getachew Belaineh, Richard C. Peralta
Optimizing Conjunctive Water Use In A Dynamic Stream Aquifer System, Getachew Belaineh, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Long-term water management planning models frequently use large time steps and must employ fairly crude assumptions (such as average climatic conditions, etc.). Managing stream aquifer systems during a dry season requires using finer discretization in time and space. Presented is a computer model, US/REMAX, developed by Utah State University personnel for aiding best management of stream-aquifer systems for both long and short eras. The model computes strategies for optimally allocating surface and ground water resources in time and space. For a water supply problem the model can maximize the sum of delivered surface and ground water. For an environmental protection …
Optimizing Irrigation Management For Pollution Control And Sustainable Crop Yield, G. R. Musharrafieh, Richard C. Peralta
Optimizing Irrigation Management For Pollution Control And Sustainable Crop Yield, G. R. Musharrafieh, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
We developed a simulation-optimization model which maximizes crop yield while maintaining target salt concentration in the root zone, and/ or preventing salt from leaching to the groundwater. The model performs nonlinear optimization and simulation. Implicit finite difference forms of the nonlinear, transient, unsaturated water flow equation, and the convection-diffusion equation are embedded as constraints. Other constraints include nonlinear functions describing the hydraulic properties of the medium. The objectives of the management model is to develop irrigation strategies which prevent salt leaching to the groundwater when salty irrigation water is used. Five different irrigation strategies are developed for Huntington Research Farm, …
Optimizing Perennial Groundwater Yield Planning For Nonlinear Systems: Approach Comparison, Shu Takahashi, Richard C. Peralta
Optimizing Perennial Groundwater Yield Planning For Nonlinear Systems: Approach Comparison, Shu Takahashi, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Four alternative simulation/optimization models useful for computing optimal sustained-yield (steady-state) groundwater pumping strategies are compared in terms of formulation, solution procedure, accuracy, and computational efficiency. The different models require different computer processing time and memory. For the aquifer tested system, if more than 10% of the cells have pumping as a decision variable, a fully linearized embedding model will require less computer memory than any other model. All the models address linear and nonlinear steady-state flow in multilayer, unconfined/confined aquifers. They also address several types of nonsmooth external flows. Newly presented are a response matrix model solving external flows described …
Optimizing Ground Water Planning And Management, Richard C. Peralta, L. S. Willardson
Optimizing Ground Water Planning And Management, Richard C. Peralta, L. S. Willardson
Civil and Environmental Engineering Faculty Publications
Simulation/optimization (S/0) models can be used to speed the process of computing long term groundwater pumping strategies. These combined models can also greatly ease the planning tasks of water management agencies. They make the process of computing optimal perennial yield groundwater management strategies fairly straightforward. S/0 models dramatically improve conjunctive water management and can help minimize the cost of groundwater contaminant clean-up. The differences between S/0 models and the simulation (S) models currently used by over 98 % of practitioners are illustrated with recent applications of S/0 models in regional planning.
Use Of Simplex Algorithm For Optimizing Simulation Models, M. Ehteshami, L. S. Willardson, Richard C. Peralta
Use Of Simplex Algorithm For Optimizing Simulation Models, M. Ehteshami, L. S. Willardson, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
A methodology and computer model is developed to determine economically optimum closed subsurface drainage systems in irrigated areas. The mode 1 maximizes net benefits, by comparing profit driven by crop yields to drain system cost and selects an optimum drain layout. The optimization methodology used is the SIMPLEX method (Nelder and Mead, 1965). The SIMPLEX model was linked to the subsurface drainage model DRAINMOD (Skaggs, 1982) and to the surface hydraulic model KINE (Walker and Skogerboe 1987). The selected optimum drainage system maximizes the difference between total revenue, and the total cost of installation, operation and management of a particular …
Optimizing Short-Term Plume Containment: Comparison Of Well Arrangements., Herminio H. Suguino, Richard C. Peralta
Optimizing Short-Term Plume Containment: Comparison Of Well Arrangements., Herminio H. Suguino, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Three well configurations were compared in terms of term ground-water contaminant plume containment. include parallel, octagonal and combination systems. system had three extraction wells upqradient and injection wells downgradient of the contaminant plume.
For each system, optimal pumping values and resulting potentiometric surface smoothness were computed for a hypothetical plume. Tested models utilized linear programming optimization and simulation via the response matrix method.
The octagonal well configuration required less pumping for a pumping period of 8 days, than did the parallel or combination systems. The octagonal configuration resulted in the smoothest potentiometric surface, in terms of difference in final head …