Download or read book Stochastic Flood Forecasting System written by Renata J. Romanowicz and published by Springer. This book was released on 2015-06-29 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the novel formulation and development of a Stochastic Flood Forecasting System, using the Middle River Vistula basin in Poland as a case study. The system has a modular structure, including models describing the rainfall-runoff and snow-melt processes for tributary catchments and the transformation of a flood wave within the reach. The sensitivity and uncertainty analysis of the elements of the study system are performed at both the calibration and verification stages. The spatial and temporal variability of catchment land use and river flow regime based on analytical studies and measurements is presented. A lumped parameter approximation to the distributed modelling of river flow is developed for the purpose of flow forecasting. Control System based emulators (Hammerstein-Wiener models) are applied to on-line data assimilation. Medium-range probabilistic weather forecasts (ECMWF) and on-line observations of temperature, precipitation and water levels are used to prolong the forecast lead time. The potential end-users will also benefit from a description of social vulnerability to natural hazards in the study area.
Download or read book A Stochastic Dynamic System for Real time Flood Forecasting written by and published by . This book was released on 1982 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization written by J.B. Marco and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.
Download or read book Flood Forecasting by Intervention Transfer Stochastic Model written by Domenico Piccolo and published by . This book was released on 1979 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Stochastic conceptual Real time Flood Forecasting Model written by Walter Schoel (III.) and published by . This book was released on 1985 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Stochastic dynamic Model for Real Time Flood Forecasting written by K. C. A. Chow and published by . This book was released on 1983 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Deterministic Real time Flood Forecasting Model with Stochastic Updating of State Variables written by Harold R. Henry and published by . This book was released on 1986* with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Analysis and Stochastic Modelling of Hydrological Extremes written by Hossein Tabari and published by MDPI. This book was released on 2019-10-28 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hydrological extremes have become a major concern because of their devastating consequences and their increased risk as a result of climate change and the growing concentration of people and infrastructure in high-risk zones. The analysis of hydrological extremes is challenging due to their rarity and small sample size, and the interconnections between different types of extremes and becomes further complicated by the untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The complexity of analyzing hydrological extremes calls for robust statistical methods for the treatment of such events. This Special Issue is motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions. The papers of this Special Issue focus on six topics associated with hydrological extremes: Historical changes in hydrological extremes; Projected changes in hydrological extremes; Downscaling of hydrological extremes; Early warning and forecasting systems for drought and flood; Interconnections of hydrological extremes; Applicability of satellite data for hydrological studies.
Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling. Audience The book constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences.
Download or read book Flood Forecasting Via a Combination of Stochastic ARIMA Approach and Deterministic HEC RAS Modeling written by Yanhui Fang and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Stochastic Error Models for Real time Flood Forecasting written by Yan Ding and published by . This book was released on 1995 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modelling Uncertainty in Flood Forecasting Systems written by Shreeda Maskey and published by CRC Press. This book was released on 2004-11-23 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like all natural hazards, flooding is a complex and inherently uncertain phenomenon. Despite advances in developing flood forecasting models and techniques, the uncertainty in forecasts remains unavoidable. This uncertainty needs to be acknowledged, and uncertainty estimation in flood forecasting provides a rational basis for risk-based criteria. This book presents the development and applications of various methods based on probablity and fuzzy set theories for modelling uncertainty in flood forecasting systems. In particular, it presents a methodology for uncertainty assessment using disaggregation of time series inputs in the framework of both the Monte Carlo method and the Fuzzy Extention Principle. It reports an improvement in the First Order Second Moment method, using second degree reconstruction, and derives qualitative scales for the interpretation of qualitative uncertainty. Application is to flood forecasting models for the Klodzko catchment in POland and the Loire River in France. Prospects for the hybrid techniques of uncertainty modelling and probability-possibility transformations are also explored and reported.
Download or read book Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and published by MDPI. This book was released on 2019-02-28 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.
Download or read book Flood Assessment written by Eric W. Harmsen and published by Innovations in Agricultural &. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: About 7,000 people lose their lives and nearly 100 million people are adversely affected by floods each year worldwide. Severe flooding also costs billions of dollars each year in damage and economic losses. This new volume focuses on two detailed studies that employ physically based hydrologic models to predict flooding in the particularly challenging environment of small watersheds with mountainous terrain and high intensity/high variability rainfall. The first study, by Dr. Alejandra Rojas Gonzalez, discusses flood prediction limitations in small watersheds with mountainous terrain and high rainfall variability. The hypothesis of the study is that it is possible to perform a small-scale, affordable model calibration, and then scale-up the parameters to a larger basin-scale model. The study specifically addresses the following scientific questions: How is flow prediction affected by the spatial variability of point rainfall at scales below that of the typical resolution of radar-based products? How does parameter and hydrological model resolution affect the model's predictive capabilities and the errors of the hydrologic model? Would the assumptions developed for the small scale enhance the hydrologic predictability at larger scales? The second study, by Dr. Luz E. Torres Molina, describes the development of a stochastic model to forecast short-term rainfall for a tropical basin. The high-resolution rainfall data (≈ 100-m) was derived using the TropiNet radar system at the University of Puerto Rico-Mayaguez Campus, representing possibly the only study of its kind in a tropical environment. The predicted short-term rainfall data was input into a hydrologic model, and flood inundation levels were estimated at selected locations within the basin. Results of the rainfall and hydrologic forecasts are compared with observed data. The study also provides a prototype for a flood forecast alarm system. Book jacket.
Download or read book A Generalized Stochastic Hydrometeorological Model for Flood and Flash flood Forecasting written by Konstantine P. Georgakakos and published by . This book was released on 1985* with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Use of a stochastic precipitation nowcast scheme for fluvial flood forecasting and warning written by C. Pierce and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Applied Uncertainty Analysis For Flood Risk Management written by Keith J Beven and published by World Scientific. This book was released on 2014-01-13 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an introduction for flood risk management practitioners, up-to-date methods for analysis of uncertainty and its use in risk-based decision making. It addresses decision making for both short-term (real-time forecasting) and long-term (flood risk planning under change) situations. It aims primarily at technical practitioners involved in flood risk analysis and flood warning, including hydrologists, engineers, flood modelers, risk analysts and those involved in the design and operation of flood warning systems. Many experienced practitioners are now expected to modify their way of working to fit into the new philosophy of flood risk management. This volume helps them to undertake that task with appropriate attention to the surrounding uncertainties. The book will also interest and benefit researchers and graduate students hoping to improve their knowledge of modern uncertainty analysis.
