Distributed Hydrologic Modeling Using GIS

This book presents a unified approach for modeling hydrologic processes distributed in space and time using geographic information systems (GIS). This Third Edition focuses on the principles of implementing a distributed model using geospatial data to simulate hydrologic processes in urban, rural an...

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Bibliographic Details
Main Author: Vieux, Baxter E.
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 2016, 2016
Edition:3rd ed. 2016
Series:Water Science and Technology Library
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a 1. Introduction to Physics-based Distributed Hydrology -- 2. Geospatial Data for Hydrology 3 Surface Generation -- 4. Spatial Variability -- 5. Infiltration -- 6. Hydrolic Roughness -- 7. Watersheds and Drainage Networks -- 8. Distributed Precipitation Estimation -- 9. Surface Runoff Model Formulation -- 10. Distributed Model Calibration -- 11. Case Studies in Distributed Hydrology -- 12. Vflo® – Software for Distributed Hydrology -- Index 
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653 |a Hydrogeology 
653 |a Physical geography 
653 |a Natural disasters 
653 |a Natural Hazards 
653 |a Hydrology 
653 |a Physical Geography 
653 |a Hydrology/Water Resources 
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520 |a This book presents a unified approach for modeling hydrologic processes distributed in space and time using geographic information systems (GIS). This Third Edition focuses on the principles of implementing a distributed model using geospatial data to simulate hydrologic processes in urban, rural and peri-urban watersheds. The author describe fully distributed representations of hydrologic processes, where physics is the basis for modeling, and geospatial data forms the cornerstone of parameter and process representation. A physics-based approach involves conservation laws that govern the movement of water, ranging from precipitation over a river basin to flow in a river. Global geospatial data have become readily available in GIS format, and a modeling approach that can utilize this data for hydrology offers numerous possibilities. GIS data formats, spatial interpolation and resolution have important effects on the hydrologic simulation of the major hydrologic components of a watershed, and the book provides examples illustrating how to represent a watershed with spatially distributed data along with the many pitfalls inherent in such an undertaking. Since the First and Second Editions, software development and applications have created a richer set of examples, and a deeper understanding of how to perform distributed hydrologic analysis and prediction. This Third Edition describes the development of geospatial data for use in Vflo® physics-based distributed modeling.