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In all branches of the environmental sciences there is a discernible trend towards attempting to model natural systems and predict their behavior, rather than passive observation. Advancing scientific knowledge has made the design of models feasible, while development in computer technology have made their implementation practicable. This book provides a fascinating cross-section of the state-of-the-art in computer modelling spanning the environmental sciences. Many of the topics are relevant to matters of topical public concern: global atmospheric effects and world climate, oceanographic phenomena and coastal flooding, pollution dispersal and acid rain, earthquake studies, and more. The scale ranges from models placing heavy demands on advanced supercomputers to more modest developments on personal computers. Environmental scientists, and all those using mathematical and computational models -- in both science and industry -- will find this work a source of valuable information.
This volume investigates the integration of computational modeling techniques into environmental science to shift the field from passive observation toward predictive analysis. Edited by D. Farmer and J. Rycroft, the text compiles research from the Institute of Mathematics and its Applications to demonstrate how advancements in hardware and algorithmic design enable the simulation of complex natural systems. The contributors present a framework for applying mathematical rigor to environmental phenomena, ranging from global climate patterns to localized pollution dispersal.
What You Will Find
Experts recognize this collection as a foundational reference for the state of computational environmental modeling at the time of its publication. Readers frequently note the technical density of the prose, which serves as a specialized resource for scientists and industry professionals engaged in mathematical simulation.
Page Count:
400
Publication Date:
1991-07-04
Publisher:
Oxford University Press
ISBN-10:
0198533942
ISBN-13:
9780198533948
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