Model Validation: Perspectives in Hydrological Science - Rilegato

 
9780471985723: Model Validation: Perspectives in Hydrological Science

Sinossi

Erstmals kritisch untersucht werden in diesem Band die Anforderungen an die Validierung hydrologischer Modelle verschiedener Maßstäbe und deren Fähigkeiten. In jedem Kapitel wird die Kalibrierung, die Datenaufnahme, die Skalierung und die Bewertung der Ergebnisse eines speziellen Modells ausführlich dargestellt. Internationale Spezialisten stellen jeweils am Ende der Kapitel kontroverse Aspekte zur Diskussion.

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Informazioni sull?autore

Malcolm G. Anderson, is founder and Editor-in-Chief of Hydrological Processes, the international research journal published by Wiley. Professor Anderson has longstanding research interests in the fields of numerical hydrology and geotechnical model development for landslide prediction. He has held full year appointments as a Senior Research Hydrologist, for the U.S. Corps Engineers Waterways Experiment Station, USA and the Geotechnical Control Office, Hong Kong.

Dalla quarta di copertina

Model Validation is a fundamental issue in modern hydrological science where increased demands for prediction and process understanding has been driven by advances in numerical modelling and environmental legislation. Model Validation: Perspectives in Hydrological Science is the first book to deal with this subject in hydrology and environmental science, as well as in other fields.

Model Validation brings together philosophers, modellers and legal experts to comment on model validation issues and gives an evaluation of how we interpret scientific evidence drived from numerical models. It shows how much issues underpin research across the discipline of hydrological science, and also in legal and philosophical frameworks, by addressing major questions concerning acceptable levels of proof in the area. This book will contribute to research within the discipline, in addition to interdisciplinary studies in environmental science and to the wider debate over the nature of scientific prediction.

This is essential reading for academic researchers, policy makers, and legal experts across the spectrum of environmental science, and of great use for 3rd year undergraduate and postgraduate courses.

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