Scale issues in hydrological modelling
Author(s)
Bibliographic Information
Scale issues in hydrological modelling
（Advances in hydrological processes）
Wiley, c1995
Available at / 14 libraries
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University Library for Agricultural and Life Sciences, The University of Tokyo図
614.39:Ka295019664159
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Note
"Originally published in Hydrological processes - an international journal, vol.9 issues 3-4, and issues 5-6, 1995" -T.p. verso
Includes bibliographical references and index
Description and Table of Contents
Description
There is a growing need for appropriate models which address the management of land and water resources and ecosystems at large space and time scales. Theories of non-linear hydrological processes must be extrapolated to large-scale, three-dimensional natural systems such as drainage basins, flood plains and wetlands. This book reports on recent progress in research on scale issues in hydrological modelling. It brings together 27 papers from two special issues of the journal Hydrological Processes. The book makes a significant contribution towards developing research strategies for linking model parameterisations across a range of temporal and spatial scales. The papers selected for this book reflect the tremendous advances which have been made in research into scale issues in hydrological modelling during the last ten years.
Table of Contents
Partial table of contents:
Investigating the Representative Elementary Area Concept: An Approach Based on Field Data (R. Woods, et al.).
Physical Interpretations of Regional Variations in the Scaling Exponents of Flood Quantiles (V. Gupta & D. Dawdy).
A Process-Based Model for Colluvial Soil Depth and Shallow Landsliding Using Digital Elevation Data (W. Dietrich, et al.).
Predicting Catchment-Scale Soil Moisture Status with Limited Field Measurements (J. Kalma, et al.).
Estimation of Land Surface Parameters Using Satellite Data (H. Xinmei, et al.).
Global Atmospheric Water Balance and Runoff from Large River Basins (T. Oki, et al.).
Simulating Heterogeneous Vegetation in Climate Models: Identifying When Secondary Vegetation Becomes Important (A. Pitman).
Index.
by "Nielsen BookData"