This monograph sets forth a unified approach and principles for modeling hydrologic processes distributed in space and time using geographic information systems (GIS). The focus of this Second Edition is on the principles of how to implement a distributed model using geospatial data to simulate hydrologic processes.
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From the Foreword Second Edition:
"All of the above make this a unique, invaluable book for the student, professor, or hydrologist seeking to acquire a thorough understanding of this area of hydrology" Philip B. Bedient, Rice University, Texas, USA
From the reviews:
"Although this book is generally concerned with surface runoff and flood periods, the conceptions and methods, as well as the method of utilizing GIS for distributed models, are remakably useful. Careful study of this excellent book will help achieve understanding of GIS-based distributed modelling, and it is highly recommended to students, teachers, researchers, and engineers involved in hydrology, water resources, and environmental Sciences." (Bulletin of the American Meteological Society, May 2002)
Dedication.- Preface.- Foreword.- Acknowledgments.- 1 Distributed Hydrologic Modeling.- 1.1 Introduction. 1.2 Why Distributed Hydrologic Modeling? 1.3 Distributed Model Representation. 1.4 Mathematical Analogy. 1.5 GIS Data Structures and Sources. 1.6 Surface Generation. 1.7 Spatial Resolution and Information Content. 1.8 Runoff Processes. 1.9 Hydraulic Roughness. 1.10 Drainage Networks and Resolution. 1.11 Spatially Variable Precipitation. 1.12 Distributed Hydrologic Model Formulation. 1.13 Distributed Model Calibration. 1.14 Case Studies. 1.15 Hydrologic Analysis and Prediction. 1.16 Summary. 1.17 References. 2 Data Sources And Structure.- 1.1 Introduction. 1.2 Dimensionality. 1.3 Map Scale and Spatial Detail. 1.4 Datum and Scale. 1.5 Georeferenced Coordinate Systems. 1.6 Map Projections. 1.7 Data Representation. 1.8 Watershed Delineation. 1.9 Soil Classification. 1.10 Land use/Cover Classification. 1.11 Summary. 1.12 References. 3 Surface Generation.- 1.1 Introduction. 1.2 Surface Generators. 1.3 Surface Generation Application. 1.4 Summary. 1.5 References. 4 Spatial Variability.- 1.1 Introduction. 1.2 Information Content. 1.3 Fractal Interpretation. 1.4 Resolution Effects on DEMs. 1.5 Summary. 1.6 References. 5 Infiltration Modeling.- 1.1 Introduction. 1.2 Infiltration Process. 1.3 Approaches to Infiltration Modeling. 1.4 Green-Ampt theory. 1.5 Estimation of Green-Ampt Parameters. 1.6 Attribute Error. 1.7 Summary. 1.8 References. 6 Hydraulic Roughness.- 1.1 Introduction. 1.2 Hydraulics of Surface Runoff. 1.3 Application to the Illinois River Basin. 1.4 Summary. 1.5 References. 7 Digital Terrain.- 1.1 Introduction. 1.2 Drainage Network. 1.3 Definition of Channel Networks. 1.4 Resolution Dependent Effects. 1.5 Constraining Drainage Direction. 1.6 Summary. 1.7 References. 8 Precipitation Measurement.- 1.1 Introduction. 1.2 Rain Gauge Estimation of Rainfall. 1.3 Radar Estimation of Precipitation. 1.4 WSR-88D Radar Characteristics. 1.5 Input for Hydrologic Modeling. 1.6 Summary. 1.7 References. 9 Finite Element Modeling.- 1.1 Introduction. 1.2 Mathematical Formulation. 1.3 Summary. 1.4 References. 10 Distributed Model Calibration.- 1.1 Introduction. 1.2 Calibration Approach. 1.3 Distributed Model Calibration. 1.4 Automatic Calibration. 1.5 Summary. 1.6 References. 11 Distributed Hydrologic Modeling.- 1.1 Introduction. 1.2 Case Studies. 1.3 Summary. 1.4 References. 12 Hydrologic Analysis And Prediction.- 1.1 Introduction. 1.2 Vflo™ Editions. 1.3 Vflo™ Features and Modules. 1.4 Model Feature Summary. 1.5 Vflo™ Real-time. 1.6 Data Requirements. 1.7 Relationship to Other Models. 1.8 Summary. 1.9 References. Glossary.- Index
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