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Author : Vijay P. Singh
Release :
Genre :
Kind : eBook
Book Rating : 161/5 ( reviews)
Book Synopsis Hydrological Processes Modelling and Data Analysis by : Vijay P. Singh
Download or read book Hydrological Processes Modelling and Data Analysis written by Vijay P. Singh. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ramesh S. V. Teegavarapu
Release : 2019
Genre : Groundwater flow
Kind : eBook
Book Rating : 177/5 ( reviews)
Book Synopsis Statistical Analysis of Hydrologic Variables by : Ramesh S. V. Teegavarapu
Download or read book Statistical Analysis of Hydrologic Variables written by Ramesh S. V. Teegavarapu. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a compilation of statistical analysis methods used to analyze and assess critical variables in the hydrological cycle.
Author : Bellie Sivakumar
Release : 2010-08-10
Genre : Science
Kind : eBook
Book Rating : 759/5 ( reviews)
Book Synopsis Advances In Data-based Approaches For Hydrologic Modeling And Forecasting by : Bellie Sivakumar
Download or read book Advances In Data-based Approaches For Hydrologic Modeling And Forecasting written by Bellie Sivakumar. This book was released on 2010-08-10. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Renji Remesan
Release : 2014-11-03
Genre : Science
Kind : eBook
Book Rating : 359/5 ( reviews)
Book Synopsis Hydrological Data Driven Modelling by : Renji Remesan
Download or read book Hydrological Data Driven Modelling written by Renji Remesan. This book was released on 2014-11-03. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Soroosh Sorooshian
Release : 2008-07-18
Genre : Science
Kind : eBook
Book Rating : 438/5 ( reviews)
Book Synopsis Hydrological Modelling and the Water Cycle by : Soroosh Sorooshian
Download or read book Hydrological Modelling and the Water Cycle written by Soroosh Sorooshian. This book was released on 2008-07-18. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes. The participants at the School came from diverse backgrounds and the level of - terest and active involvement in the discussions clearly demonstrated the importance the scienti c community places on challenges related to the coupling of atmospheric and hydrologic models. Along with my colleagues Dr. Erika Coppola and Dr. Kuolin Hsu, co-directors of the School, we greatly appreciate the invited lectures and all the participants. The members of the local organizing committee, Drs Barbara Tomassetti; Marco Verdecchia and Guido Visconti were instrumental in the success of the school and their contributions, both scienti cally and organizationally are much appreciated.
