Environmental Modelling: New Research

$130.00

Paul N. Findley (Editor)

BISAC: COM062000

Environment models seek to re-create what occurs during some event in nature. It is much easier and practical to create computer models to run certain experiments than it is to go out and do the same experiment again and again. Computer models take equations which were usually formulated through testing under natural conditions, and put them into computer programs where they can be run quickly and easily. A model can then output the results of doing these equations into a form which can be output to a screen for the user to view. The aim is to improve the capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales. This new book presents the latest research from around the globe.

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Table of Contents

Preface

Expert Commentary

Advances in Space-Time Technology for Assessing Human Exposure to Environmental Contaminants
(Jaymie R. Meliker, Dept. of Preventive Medicine, Stony Brook Univ., Interdisciplinary Environmental Research, Stony Brook Univ., Jeoffrey M. Jacquez, BioMedware, Inc., Dept. of Environmental Health Sciences, Univ. of Michigan)

Research and Review Studies

Chapter 1. Bayesian Belief Networks
(Adrian C. Newton, Centre for Conservation Ecology and Environmental Change, School of Conservation Sciences, Bournemouth Univ., Poole, UK)

Chapter 2. EOF Expression Analytical Model with Applications to the Retrieval of Atmospheric Temperature and Gas Constituents Concentrations from High Spectral Resolution Infrared Observations
(Carmine Serio, Guido Masiello and Giuseppe Grieco, DIFA, Univ. of Basilicata, Italy

Chapter 3. Comovement and Cyclical Patterns of Southern Pine Beetle Outbreaks
(Jianbang Gan, Dept. of Ecosystem Science and Management, Texas A & M Univ., College Station, TX)

Chapter 4. Trends in Modelling of Radionuclides Uptake by Particulate Matter in the Marine Environment Using Box Models
(A. Laissaoui and R. El Mrabet, Centre Nacional de l’Energie, des Sciences et des Techniques Nucleaires, B.P., Rabat Morocco)

Chapter 5. Spatial Down-Scaling as a Tool to Improve Multifunctionality Indicators in Economic Models
(Wolfgang Britz, Institute for Food and Resource Economics, Univ. of Bonn, Nussallee, Bonn, Germany, Klaus Mittenzwei, Norwegian Agricultural Economics Research Institute (NILF), Oslo, Norway)

Chapter 6. Adaptive Control Methodology and Some Applications in Environmental Modelling
(P.L. Kunsch, Vrije Univ. Brussel (VUB), Brussels, Belgium)

Chapter 7. Predictive of Sediment Source Areas within Watersheds as Affected by Soil Data Resolution
(Xixi Wang, Dept. of Mathematics, Physics & Engineering, Tarleton State Univ., Stephenville, Texas, Javier Garza, Dept. of Mathematics, Physics & Engineering, Tarleton State Univ., Stephenville, Texas, Miles Whitney, Dept. of Mathematics, Physics & Engineering, Tarleton State Univ., Stephenville, Texas, Assessfa M. Melesse, Dept. of Environmental Studies, Flordia International Univ., Miami, FL, Wanhong Yang, Dept. of Geography, Univ. of Guelph, Guelph, Ontario, Canada)

Chapter 8. Landslide Modeling
(Kang-tsung Chang, Kainan Univ., Taoyuan, Taiwan)

Chapter 9. Spatial Modelling of Groundwater Pollution using a GIS
(Maanan M. and Robin M., Univ. de Nantes, Nantes Cedex 3, France)

Index

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