Stochastic Evaluation of Reservoir Operation Rules
The major water facilities in California encompass the State Water Project, operated by the State of California, and the Central Valley Project, owned and operated by the United States...
The Alabama Rainfall-Runoff Model, ARRM
ARRM consists of a conceptual state-space model which is cast in a stochastic framework. It uses the W.H. Green and C.A. Ampt method for infiltration, exponential decay for interflow and...
Alternative Methods of Generating Hydrologic Data for Reservoir Optimization
Given an historically based set of natural flows for the Colorado River at Lees Ferry, a series of 16 indexed sequential traces 78 years in length were derived using a 'wrap around' approach...
Hydropower Stochastic Forecasting and Optimization
A microcomputer package was implemented to support real-time decisions for weekly and month-end water management at an industrial complex in the mountains of British Columbia. The rolling...
Application of Principal-Component Analysis to Long-Term Reservoir Management
Determining the optimal long-term operating policy of a multireservoir power system requires solution of a stochastic nonlinear programming problem. The paper presents a very efficient...
Stochastic Control of Hydropower Systems
A two-level stochastic control method is presented for the real-time operation of hydropower projects. The first level assumes fixed turbine discharges and utilizes probabilistic inflow...
Stochastic Dynamic Programming Applied to Multireservoir Systems
The main goal of this work was to develop a large scale optimization algorithm incorporating the principle that the uncertainty of future events increases with time. This principle governs...
Biological Methods Petroleum Hydrocarbons Cleanup
Cleanup of the ground water and soils from hydrocarbon spills has mainly focused on air stripping and activated carbon for ground-water treatment, and vapor extraction and excavation followed...
A New Turbulence Model: The k-?-S Model
A new turbulence model, the k-?-S( turbulent kinetic energy-dissipation-Stochastic theory) model, is presented. Instead of the Boussinesq eddy viscosity concept in the k-? -E( turbulent...
Reliability of Bank Protection Works Subject to Erosion
Sediment movement and changes of bed levels in natural rivers are non-stationary processes. The design of protection works for structures against erosion should account for the time dependency...
The Structure of Intermittent Sand Suspension Events Under Mild Wave Conditions
Nearshore sedimentation processes are being actively investigated through a series of research projects at the University of Miami. Quantitative measurements of waves, currents, and suspended...
A Coastal Hard Rock Sediment Budget for the Inner Bristol Channel
The dominant input into the inter-tidal zone from the hard rocks bordering the inner Bristol Channel is clastic material. This is derived from coastal recession as a result of subaerial...
Suspended Sediment Regression Model on Mud Coasts
Two statistical models of the concentration of suspended sediment on mud coasts have been developed by using the stepwise regression method. The statistical analysis in this paper is based...
Stochastic Modeling and Generation of Droughts
Stochastic simulation was used for deriving drought properties of the Poudre River, Colorado and the Red River, North Dakota. The autoregressive moving average (ARMA) model and a threshold...
Regional Flood Plain Management
A flood plain management plan for White Rock Creek in the Cities of Dallas and Plano, Texas was developed. New technologies such as three-dimensional topography, CADD, and remote sensing...
A Stochastic Approach to Sediment Transport in Alluvial Rivers
A dimensionless sediment transport function relation for alluvial rivers has been developed using stochastic approach. The dimensionless function may be applied to estimate suspended load,...
Effect of Errors in Rainfall Measurements on Real-Time Forecasting Via On-Line Conceptual Models
The paper analyzes the issue of the choice between off-line and on-line use of lumped conceptual models for real-time flood forecasting. The effects of the adaptive use in the presence...
Simulation of Precipitation by Weather-Type Analysis
A new approach that uses weather-type analysis as a basis for stochastic precipitation modeling was developed and tested for Philadelphia, Pennsylvania. The weather types permit the identification...
Stochastic Modeling of Groundwater Contamination?A Distributed Parameter Kalman Filtering Approach
Stochastic methods are applied to the analysis and prediction of large scale solute transport in saturated heterogeneous porous media. An extended distributed parameter Kalman Filter which...
Two Case Studies of Stochastic Identification of Aquifer Hydraulic Parameters and Natural Recharge
A method to identify aquifer transmissivity, storativity and natural recharge (inverse modeling), based on a geostatistical approach is presented. The basic assumptions of the method are...
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