Record-breaking floods in many places in the world in recent years have underlined the need for accurate flood forecasting models. By knowing in advance when, where and at what level a river will crest, appropriate protection works can be planned and damage to life and property can be reduced. This book presents a streamflow model technique, which has been adopted by various hydrological forecasting services. The physics-based structural-stochastic forecasting model is formulated with discrete data, accounts for model uncertainties, is adaptive, and mathematically accessible. The reader is guided gradually through the model building and forecasting process and through the generation of the relevant system matrices with the enclosed MATLAB codes. The many examples and sample inflow and outflow data illustrate real life flow routing problems in Europe and the US and allow, with the adaptable MATLAB codes, the simulation of streamflows and the creation of real-time hydrological forecasts.
Value stream design is increasingly asserting itself as the key approach for production optimization, but there has never been a detailed and systematic presentation of the value stream method before - a gap that has now been filled by this book.
The author provides an easily comprehensible code of practice for the effective analysis of production processes, product family-oriented factory structuring and the target-oriented development of an ideal future state of production. The book plausibly conveys ten design guidelines for production optimization with corresponding equations, descriptive illustrations and industrial examples well-proven in numerous industrial projects. It addresses the professional public, practitioners wishing to avoid waste and systematically improve their factories' value streams, and students - tomorrow's practitioners.
In contrast to other publications, this book complements the value stream analysis and its unique compact visualization of the entire production process by a detailed illustration of the information flow and a comprehensive discussion of the operator balance chart. The Â»traditionalÂ« concept of value stream design is significantly expanded with a view to its applicability in complex productions by way of methodological innovation and further development concerning campaign formation, value stream management and technological process integration. The method is embedded in a comprehensive procedural approach for factory planning, starting with the definition of the desired lean production goals.
This project evaluated the quality of data needed to determine relationships between chronic Whole Effluent Toxicity (WET) test results and in-stream biological condition. A data quality objectives approach was used, which included several proposed measurement quality objectives (MQOs) that specified desired precision, bias, and sensitivity of methods used. Six facilities (four eastern and two western U.S.) participated in this study, all having design effluent concentrations > 60% of the stream flow. In accordance with a Quality Assurance Project Plan most of the facilities completed four quarters of chronic Ceriodaphnia dubia, and Pimephales promelas (fathead minnow) WET tests, and three quarters of Selenastrum capricornutum (green algae) WET testing following the most recent USEPA methods. Several other WET tests were conducted to address MQOs including splits, duplicates, and blind positive and negative controls. Macroinvertebrate, fish, and periphyton bioassessments were conducted at multiple locations up and downstream of each facility following the most recent USEPA Office of Water bioassessment protocols.