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Hydrological Modelling and the Water Cycle
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 estima...
Mathematical Models of Large Watershed Hydrology
Comprehensive account of some of the most popular models of large watershed hydrology ~~ of interest to all hydrologic modelers and model users and a welcome and timely edition to any modeling library
Hydrological Modeling
This book carefully considers hydrological models which are essential for predicting floods, droughts, soil moisture estimation, land use change detection, geomorphology and water structures. The book highlights recent advances in the area of hydrological modelling in the Ganga Basin and other internationally important river basins. The impact of climate change on water resources is a global concern. Water resources in many countries are already stressed, and climate change along with burgeoning population, rising standard of living and increasing demand are adding to the stress. Furthermore, river basins are becoming less resilient to climatic vagaries. Fundamental to addressing these issues is hydrological modelling which is covered in this book. Integrated water resources management is vital to ensure water and food security. Integral to the management is groundwater and solute transport, and this book encompasses tools that will be useful to mitigate the adverse consequences of natural disasters.
Hydrological Data Driven Modelling
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.
Distributed Hydrological Modelling
It is the task of the engineer, as of any other professional person, to do everything that is reasonably possible to analyse the difficulties with which his or her client is confronted, and on this basis to design solutions and implement these in practice. The distributed hydrological model is, correspondingly, the means for doing everything that is reasonably possible - of mobilising as much data and testing it with as much knowledge as is economically feasible - for the purpose of analysing problems and of designing and implementing remedial measures in the case of difficulties arising within the hydrological cycle. Thus the aim of distributed hydrologic modelling is to make the fullest us...
Hydrologic Modeling
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Hydrologic Modeling
As water is our precious natural resource, hydrology has evolved as a science to helping people understand how the water system works. Hydrologic models are usually simplified, conceptual or physical models which allow people simulate and predict water cycling procedures. In this book, we presented the state-of-the-art hydrological models and cases of their applications. Models type including statistic models like Mann-Kendall method, F-test method, stoichiometry method, merging different hydrologic software models, and building up new integrated models. Applications cases are used to simulate and predict water quality and quantity like runoffs for reservoirs and rivers, urban storm water, estuaries, regional water quantity assessment, sea-level rise on the coast. Some chapters discussed how to improve existing hydrologic models in the way of setting scenarios, how to combine satellite data with models, and downscale to localized the models. Research topics such as aquatic biogeochemistry, fate and transport of bacteria in a coastal area, water management policies, effects from weirs and beaver dams, are also addressed in this book.
River Flow Modelling and Forecasting
Advances in computer technology, in the technology of communication and in mathematical modelling of processes in the hydrological cycle have recently improved our potential to protect ourselves against damage through floods and droughts and to control quantities and qualities in our water systems. This development was demonstrated in a 1983 post-experience course at Wageningen University where an international group of experts reviewed successful modelling techniques and described the design and operation of a number of forecasting and control systems in drainage basins and river reaches of various sizes and under various geographical and climat ological conditions. A special effort was mad...
Recent Advances in the Modeling of Hydrologic Systems
This book offers a wealth of information to anyone seeking a survey of the state of the hydrologic modeling disciple in the research community in the late 1980sThe book is an excellent source of information for students seeking topics that may prove worthy of further research and study. Practitioners of hydrology would also benefit from exposure to the activities at the leading edge of their filed of interest. It also serves as a means of introducing people to aspects of hydrology that are outside their editors are to be commended for their efforts in presenting this material to the hydrologic community.' Bulletin American meteorological Society 73:12 1992
