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 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 Recursive Streamflow Forecasting written by Jozsef Szilagyi and published by CRC Press. This book was released on 2017-06-29 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is a practical guide to real-time streamflow forecasting that provides a rigorous description of a coupled stochastic and physically based flow routing method and its practical applications. This method is used in current times of record-breaking floods to forecast flood levels by various hydrological forecasting services. By knowing
Download or read book On the Development of a Real time Flood Forecasting Model for the Panama Canal Watershed written by Carlos Alberto Vargas and published by . This book was released on 1990 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the Third International Symposium on Stochastic Hydraulics written by Hideo Kikkawa and published by . This book was released on 1980 with total page 784 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 Incorporation of Uncertainties in Real time Catchment Flood Forecasting written by Charles Steven Melching and published by . This book was released on 1987 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Real time Flood Forecasting Model Intercomparison and Parameter Updating Rain Gauge and Weather Radar Data written by Sohrab Hajjam and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Selected Water Resources Abstracts written by and published by . This book was released on 1988 with total page 1064 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Real time Flood Forecasting and Updating written by Matin Baymani-Nezhad and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Improving Flood Forecasting Using Conditional Bias aware Assimilation of Streamflow Observations and Dynamic Assessment of Flow dependent Information Content written by Haojing Shen and published by . This book was released on 2021 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate forecasting of floods is a long-standing challenge in hydrology and water management. Data assimilation (DA) is a popular technique used to improve forecast accuracy by updating the model states in real time using the uncertainty-quantified actual and model-simulated observations. A particular challenge in DA concerns the ability to improve the prediction of hydrologic extremes, such as floods, which have particularly large impacts on society. Almost all DA methods used today are based on least squares minimization. As such, they are subject to conditional bias (CB) in the presence of observational uncertainties which often leads to under- and over-prediction of the predict and over the upper and lower tails, respectively. To address the adverse impact of CB in DA, conditional bias penalized Kalman filter (CBPKF) and conditional bias penalized ensemble Kalman filter (CBEnKF) have recently been proposed which minimize a weighted sum of the error variance and expectation of the CB squared. Whereas CBPKF and CBEnKF significantly improve the accuracy of the estimates over the tails, they deteriorate performance near the median due to the added penalty. To address the above, this work introduces CB-aware DA, which adaptively weights the CB penalty term in real time, and assesses the flow-dependent information content in observation and model prediction using the degrees of freedom for signal (DFS), which serves as a skill score for information fusion. CB-aware DA is then comparatively evaluated with ensemble Kalman filter in which the marginal information content of observations and its flow dependence are assessed given the hydrologic model used. The findings indicate that CB-aware DA with information content analysis offers an objective framework for improving DA performance for prediction of extremes and dynamically balancing the predictive skill of hydrologic models, quality and frequency of hydrologic observations, and scheduling of DA cycles for improving operational flood forecasting cost-effectively.
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 Climate Change in Sustainable Water Resources Management written by Omid Bozorg-Haddad and published by Springer Nature. This book was released on 2022-06-29 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive approach to all aspects of water-related subjects affected by climate change that expand readers' attitudes toward future of the management strategies and improve management plans. It summarizes climate change scenarios, models, downscaling methods, and how to select the appropriate method. It also introduces practical steps in assessing climate change impacts on water issues through introducing hydrological models and climate change data applications in hydrologic analysis. The book caters to specialist readers who are interested in analyzing climate change effects on water resources, and related issues can gain a profound understanding of the practical concepts and step-by-step analysis, which is enriched with real case studies all around the world. Moreover, readers will be familiar with potential mitigation and adaptation measures in sustainable water engineering, considering the results of hydrologic modeling.
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 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 Selected Water Resources Abstracts written by and published by . This book was released on 1988 with total page 1062 pages. Available in PDF, EPUB and Kindle. Book excerpt:
