Papers by RICHARD PERALTA
AGU Fall Meeting Abstracts, Dec 1, 2019
Simulation/Optimization (S/0) modules were applied to develop an optimal pump and treat (P&T)... more Simulation/Optimization (S/0) modules were applied to develop an optimal pump and treat (P&T) pumping strategy for a Wurtsmith AFB site. The S/0 model incorporates both operations research linear programming and evolutionary optimization genetic algorithm (GA). Differing from a previously reported GA code that treats pumping as a discrete variable (no pumping or pumping at some specified rate), this code treats pumping as a continuous variable. It was used to design the cleanup wells which would reduce contaminant concentrations to acceptable values within 6 years. The linear programming capability of REMAX was then used to determine the least amount of extra pumping needed to achieve plume containment. Results of this optimization approach will be presented
Water entering a soil layer redistributes instantaneously to field capacity. This assumption is m... more Water entering a soil layer redistributes instantaneously to field capacity. This assumption is more accurate for coarsetextured soils than for fine-textured soils. 2. Water is removed by evapotranspiration from each layer in the root zone in proportion to the relative amount of water available in that layer. A uniform root distribution is assumed. This assumption is not strictly valid for many situations.. More precise schemes for dealing with evapotranspiration would require more information about the root distribution and the soil hydraulic properties. 3. Upward movement of soil water does not occur anywhere in the soil profi'le. Water is lost from the root zone by evapotranspiration and is not replenished from below by capillary rise from groundwater. This assumption is not satisfied for shallow groundwater tables. However, for most agricultural systems where a drainage system exists, this assumption will be satisfied.
The authors do not warrant PLUMAN for any specific purpose and do not assume any liability result... more The authors do not warrant PLUMAN for any specific purpose and do not assume any liability resulting from use of the software. PLUMAN includes new software as well as public-domain tested algorithms for simulating and/or optimizing groundwater contaminant plume capture. This User's Manual might contain misprints, and the PLUMAN software could contain errors. We will appreciate your bringing these to our attention. Changes will be periodically incorporated into the software and released in new versions.
EVALUATION AND ACCESSING OF DATA FOR A WATER RESOURCES SIMULATOR This report evaluates the availa... more EVALUATION AND ACCESSING OF DATA FOR A WATER RESOURCES SIMULATOR This report evaluates the availability of data needed to use a groundwater simulation model for real time conjunctive water management in the Arkansas Grand Prairie. It is assumed that the goal of such management is to protect existing groundwater rights by maintaining water levels so that wells do not go dry, even in time of drought. Sufficient hydrogeologic data exists to use the simulation model to predict the effect of known pumping rates on groundwater levels. Developing an optimal set of "target" levels and annually managing pumping to achieve those levels requires additional data: fall 9roundwater levels, degree of connection between aquifer and recharge streams, and annual cell by cell prediction of aquaculture and irrigated agriculture acreages. Successful management also requires continuous monitoring in the critical area where saturated thicknesses are small. Peralta, Richard Co, Roberto Arce and T...
Introduction Previous Work Model Development Application 1 Results and Discussion Conclusions Ref... more Introduction Previous Work Model Development Application 1 Results and Discussion Conclusions References Appendix I Appendix II
As a step toward simulating runoff from the entire Red Butte Creek (RBC) watershed, we use contin... more As a step toward simulating runoff from the entire Red Butte Creek (RBC) watershed, we use continuous precipitation-runoff simulation to prepare a hydrologic mass balance for the Lower Knowlton Fork (LKF) watershed, an RBC sub-watershed. The RBC watershed drains a narrow canyon with steep side walls. RBC flows southwest into the Jordan River, which drains into the Great Salt Lake. Formed from colluvium and alluvium derived from mixed sedimentary rocks, RBC soils are well-drained and have high infiltration rates. Some infiltrated water percolates and becomes groundwater. Groundwater that returns to Red Butte Creek increases the creek’s base flow. And ultimately affects Jordan River flow. RBC watershed elevations range from 1,500 to 2,524m. Annual precipitation in all forms ranges from 50 cm at lower elevation to 90 cm at higher elevation. The proportion of precipitation falling as snow, the snow pack accumulation, and the impact of snow melt on runoff increase with elevation. Because the LKF watershed is the highest portion of the RBC watershed, it receives the most snow. We present an LKF mass balance between precipitation and its subsequent distribution as snow accumulation, snow melt, canopy interception, surface storage, evapotranspiration, and infiltration. Preparing the LKF mass balance, involves long-term simulations using the Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS 4.1). For simulating loss, snowmelt, routing, transformation, base flow, and evapotranspiration, HEC-HMS uses these methods: soil moisture accounting (SMA), Temperature index (Degree-day), Muskingum, Clark unit hydrograph, linear recession, and Priestley Taylor, respectively. Preparing HEC-HMS input data involves using ArcGIS to extract soil and other property data from the Soil Survey Geographic Database (SSRUGO), and assuming parameters based upon watershed characteristics and seasonal variability. Calibration produces the set of parameter values that cause simulated values to match observed stream discharge and calculated snow water equivalent (SWE)
A •model for optimally managing groundwater quality and quantity under steady and transient condi... more A •model for optimally managing groundwater quality and quantity under steady and transient conditions in confined and unconfined aquifers is presented. Alternative volumetrically optimal steady-state strategies are shown. Discussed is use of the model for management of transient conditions.
Management of Irrigation and Drainage …, 1993
About ASCE; About Civil Engineering; Donate Now; My ASCE; Shop ASCE. ASCE Join Now. Knowledge & L... more About ASCE; About Civil Engineering; Donate Now; My ASCE; Shop ASCE. ASCE Join Now. Knowledge & Learning: Books & Journals; CE Body of Knowledge; Certification; Codes & Standards; Conferences; Continuing Education; ...
Journal of Water Resources Planning and Management, 1995
... Optimal Dispersed Ground-Water Contaminant Management: MODCON Method. by RC Peralta , M.ASCE ... more ... Optimal Dispersed Ground-Water Contaminant Management: MODCON Method. by RC Peralta , M.ASCE , (Prof., Dept. of Bio. and Irrig. Engrg., Utah State Univ., Logan, UT 84321-4105) , J. Solaimanian , (Arkansas State Dept. ...
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Papers by RICHARD PERALTA