New Approaches to Hydrological Prediction in Data-sparse Regions


Book Description

When data are scarce, hydrological predictions become unreliable, mainly due to the inability to specify model components and parameter values that consistently represent the dominant hydrological processes in a particular basin, and also due to the lack of high quality model forcing. This is a problem in developed and developing countries, and the focus of much research worldwide. This proceedings volume, from a symposium of the same name heldin Hyderabad, India, September 2009, contains 40 papers from over 20 countries. They reflect differing aspects of, and approaches to, the problem and are grouped accordingly: Hydrological modelling in poorly gauged and ungauged basins Hydrometeorology and climate change assessment Remote sensing applications in hydrology Characterizing rainfall variability & its impacts on hydrological modelling




Advances In Data-based Approaches For Hydrologic Modeling And Forecasting


Book Description

This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each — stochastic methods, parameter estimation techniques, scaling and fractal methods, remote sensing, artificial neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos methods. These approaches are chosen to address a wide range of hydrologic system characteristics, processes, and the associated problems. Each of these eight approaches includes a comprehensive review of the fundamental concepts, their applications in hydrology, and a discussion on potential future directions.




Hydrology in Practice


Book Description

Hydrology in Practice is an excellent and very successful introductory text for engineering hydrology students who go on to be practitioners in consultancies, the Environment Agency, and elsewhere. This fourth edition of Hydrology in Practice, while retaining all that is excellent about its predecessor, by Elizabeth M. Shaw, replaces the material on the Flood Studies Report with an equivalent section on the methods of the Flood Estimation Handbook and its revisions. Other completely revised sections on instrumentation and modelling reflect the many changes that have occurred over recent years. The updated text has taken advantage of the extensive practical experience of the staff of JBA Consulting who use the methods described on a day-to-day basis. Topical case studies further enhance the text and the way in which students at undergraduate and MSc level can relate to it. The fourth edition will also have a wider appeal outside the UK by including new material on hydrological processes, which also relate to courses in geography and environmental science departments. In this respect the book draws on the expertise of Keith J. Beven and Nick A. Chappell, who have extensive experience of field hydrological studies in a variety of different environments, and have taught undergraduate hydrology courses for many years. Second- and final-year undergraduate (and MSc) students of hydrology in engineering, environmental science, and geography departments across the globe, as well as professionals in environmental protection agencies and consultancies, will find this book invaluable. It is likely to be the course text for every undergraduate/MSc hydrology course in the UK and in many cases overseas too.




Hillslope and Watershed Hydrology


Book Description

This book is a printed edition of the Special Issue "Hillslope and Watershed Hydrology" that was published in Water




Advanced Hydroinformatics


Book Description

Advanced Hydroinformatics Advanced Hydroinformatics Machine Learning and Optimization for Water Resources The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts. Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management. Volume Highlights Include: Overview of the application of artificial intelligence and machine learning techniques in hydroinformatics Advances in modeling hydrological systems Different data analysis methods and models for forecasting water resources New areas of knowledge discovery and optimization based on using machine learning techniques Case studies from North America, South America, the Caribbean, Europe, and Asia The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.




Hydrological Drought


Book Description

The majority of the examples are taken from regions where the rivers run most of the year.




Hydrological Data Driven Modelling


Book Description

This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.




Runoff Prediction in Ungauged Basins


Book Description

A synthesis of international catchment hydrology research, for researchers and professionals in hydrology, soil science, and environmental and civil engineering.




The Use of Remote Sensing in Hydrology


Book Description

This book is a printed edition of the Special Issue "The Use of Remote Sensing in Hydrology" that was published in Water




Ecosystem Services and River Basin Ecohydrology


Book Description

This book provides an integrated analysis of the methodologies and main processes occurring at the entire river basin, from upstream until the coast, by merging the biological and hydrological processes with the social and economic components, thus providing an integrated framework for river basin management, integrating the ecohydrology approach with the ecosystem services concept.