Author: World Meteorological Organization
Publisher:
ISBN:
Category : Depth-area-duration (Hydrometeorology)
Languages : en
Pages : 224
Book Description
Manual for Estimation of Probable Maximum Precipitation
Author: World Meteorological Organization
Publisher:
ISBN:
Category : Depth-area-duration (Hydrometeorology)
Languages : en
Pages : 224
Book Description
Publisher:
ISBN:
Category : Depth-area-duration (Hydrometeorology)
Languages : en
Pages : 224
Book Description
Manual on Estimation of Probable Maximum Precipitation (PMP)
Author: World Meteorological Organization
Publisher:
ISBN:
Category : Flood forecasting
Languages : en
Pages : 294
Book Description
The manual describes procedure for estimating the maximum probable precipitation and the maximum probable flood. This is the third revised version. The first and second editions of this manual were published in 1973 and 1986, respectively. The current edition keeps a majority of the content from the second edition. Newly added content in this third edition primarily results from experiences, since 1986, in directly estimating PMP for the requirements of a given project in a design watershed on probable maximum flood (PMF) in China, the United States of America, Australia and India.--Publisher's description.
Publisher:
ISBN:
Category : Flood forecasting
Languages : en
Pages : 294
Book Description
The manual describes procedure for estimating the maximum probable precipitation and the maximum probable flood. This is the third revised version. The first and second editions of this manual were published in 1973 and 1986, respectively. The current edition keeps a majority of the content from the second edition. Newly added content in this third edition primarily results from experiences, since 1986, in directly estimating PMP for the requirements of a given project in a design watershed on probable maximum flood (PMF) in China, the United States of America, Australia and India.--Publisher's description.
Safety of Dams
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309035325
Category : Science
Languages : en
Pages : 295
Book Description
From earth tectonics and meteorology to risk, responsibility, and the role of government, this comprehensive and detailed book reviews current practices in designing dams to withstand extreme hydrologic and seismic events. Recommendations for action and for further research to improve dam safety evaluations are presented.
Publisher: National Academies Press
ISBN: 0309035325
Category : Science
Languages : en
Pages : 295
Book Description
From earth tectonics and meteorology to risk, responsibility, and the role of government, this comprehensive and detailed book reviews current practices in designing dams to withstand extreme hydrologic and seismic events. Recommendations for action and for further research to improve dam safety evaluations are presented.
Manual on Estimation of Probable Maximum Precipitation (PMP)
Author:
Publisher:
ISBN:
Category : Probable maximum precipitation (Hydrometeorology)
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category : Probable maximum precipitation (Hydrometeorology)
Languages : en
Pages : 0
Book Description
Comparison of Generalized Estimates of Probable Maximum Precipitation with Greatest Observed Rainfalls
Author: John T. Riedel
Publisher:
ISBN:
Category : Precipitation (Meteorology)
Languages : en
Pages : 76
Book Description
Publisher:
ISBN:
Category : Precipitation (Meteorology)
Languages : en
Pages : 76
Book Description
Application of Probable Maximum Precipitation Estimates
Author: E. Marshall Hansen
Publisher:
ISBN:
Category : Hydrometeorology
Languages : en
Pages : 182
Book Description
Publisher:
ISBN:
Category : Hydrometeorology
Languages : en
Pages : 182
Book Description
Handbook of HydroInformatics
Author: Saeid Eslamian
Publisher: Elsevier
ISBN: 0128219505
Category : Technology & Engineering
Languages : en
Pages : 420
Book Description
Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering. - Key insights from 24 contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. - Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. - Defines both the designing of good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees.
Publisher: Elsevier
ISBN: 0128219505
Category : Technology & Engineering
Languages : en
Pages : 420
Book Description
Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering. - Key insights from 24 contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. - Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. - Defines both the designing of good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees.
Manual for Estimation of Probable Maximum Precipitation
Author: World Meteorological Organization
Publisher:
ISBN:
Category : Depth-area-duration (Hydrometeorology)
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category : Depth-area-duration (Hydrometeorology)
Languages : en
Pages :
Book Description
Applied Hydrology
Author: Ray K. Linsley
Publisher:
ISBN: 9780070994287
Category : Hydrology
Languages : en
Pages : 689
Book Description
Publisher:
ISBN: 9780070994287
Category : Hydrology
Languages : en
Pages : 689
Book Description
A handbook on flood hazard mapping methodologies
Author: Andrés Díez Herrero
Publisher: IGME
ISBN: 9788478408139
Category :
Languages : en
Pages : 196
Book Description
Publisher: IGME
ISBN: 9788478408139
Category :
Languages : en
Pages : 196
Book Description