Abstract: Several sources of uncertainty are considered in using field data to perform mass balance calculations to estimate nonpoint source (NPS) loads of total dissolved solids (TDS) and selenium (Se) to two reaches along the Lower ...

Abstract: A methodology is presented for optimal design of hydraulic structures in a branched irrigation canal network subject to parametric and objective uncertainty. Monte Carlo simulation of steady spatially varied flow is ...

Abstract: A simulation model is developed which accounts for the major processes governing shallow saline water table behavior in salinity‐affected irrigated regions. Designed for feasibility stage project planning, the model may ...

Abstract: Performance measures are developed that facilitate analysis of irrigation‐water delivery systems in terms of adequacy, efficiency, dependability, and equity of water delivery. The measures provide a quantitative assessment ...

Abstract: Potential solutions to high soil salinity levels and waterlogging problems are investigated on a regional scale using calibrated finite-difference flow and mass transport modeling for a portion of the Lower Arkansas River ...

Abstract: Extensive field data and calibrated flow and salt-transport models characterize the spatial and temporal patterns of salinity and waterlogging in an irrigated western river valley. Over three irrigation seasons, average ...

Abstract: Extensive field investigations allowed depiction of soil water salinity within two large representative regions of a river valley that has been irrigated for more than 120 years. The nature and severity of the salinity ...

Abstract: Engineering predictions of flows in open-channel systems are fraught with ambiguity due to spatial and temporal variability, measurement error and limited sampling of the parameters that represent system properties, boundary ...

Abstract: Spatiotemporal solutions for open-channel flow are obtained in a stochastic setting using field data on parameter variability. Statistical descriptions of the flow variables are estimated through Monte Carlo simulation ...

Abstract: Coordinated application of empirical and physically based stochastic models, based upon diverse and variable field data, creates a method for river water quality planning that is calibrated to account for parameter ...