Environmental modelling : new research /

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Bibliographic Details
Imprint:New York : Nova Science Publishers, Inc., [2009]
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11229337
Hidden Bibliographic Details
Other authors / contributors:Findley, Paul N., editor.
ISBN:9781617284113
1617284114
1606920340
9781606920343
Digital file characteristics:text file
Notes:Includes bibliographical references and index.
Description based on print version record.
Other form:Print version: Environmental modelling New York : Nova Science Publishers, c2009. 1606920340 (hardcover)
Table of Contents:
  • ENVIRONMENTAL MODELLING:NEW RESEARCH; CONTENTS; PREFACE; EXPERT COMMENTARY; ADVANCES IN SPACE-TIME TECHNOLOGY FORASSESSING HUMAN EXPOSURE TO ENVIRONMENTALCONTAMINANTS; Abstract; Introduction; Space-Time Software Systems; Space-Time Datasets for Exposure Assessment; Example Applications of Space-Time Exposure Reconstruction; Conclusion; References; RESEARCH AND REVIEW STUDIES; BAYESIAN BELIEF NETWORKS IN ENVIRONMENTALMODELLING: A REVIEW OF RECENT PROGRESS; Abstract; Introduction; Description of a BBN; Literature Search Methods; Domains; Network Structure; Obtaining Conditional Probabilities.
  • Model TestingSensitivity Analysis; Use of BBNs to Support Decision-Making; Advantages of BBNs; Limitations of BBNs; Conclusions and Forward Look; Acknowledgements; References; EOF REGRESSION ANALYTICAL MODELWITH APPLICATIONS TO THE RETRIEVALOF ATMOSPHERIC TEMPERATURE AND GASCONSTITUENTS CONCENTRATION FROM HIGHSPECTRAL RESOLUTION INFRAREDOBSERVATIONS; Abstract; 1. Introduction; 2. Mathematical Theory; 3. EOF Based Regression Algorithm; 3.1. Data and Parameters Space, Training Data Set and Basic Definitions; 3.2. How Many Principal Components Do We Need to Extract?
  • 3.3. The System of Regression Coefficients3.3.1. Bias and Second Order Statistics of the Retrieval; 3.3.2. Assessing the Vertical Spatial Resolution of the Retrieval, the Index iD; 4. Implementation with Simulated Data and Assessment of theRetrieval Performance; 4.1. More on "How Many Components doWe Need to Extract?"; 4.2. Values of the Retrieval Interdependency Index, iD; 5. Application to Real Observations; 5.1. CAMEX/3 Experiment; 5.2. EAQUATE Experiment; 5.3. IASI Tropical Soundings; 6. Conclusion; Acknowledgment; References.
  • COMOVEMENT AND CYCLICAL PATTERNSOF SOUTHERN PINE BEETLE OUTBREAKSAbstract; 1. Introduction; 2. Methods and Data; 2.1. Measuring Infestation Risk; 2.2. Assessing Comovement; 2.3. Assessing Cyclical Patterns; 3. Results; 3.1. Infestation Risk; 3.2. Comovement; 3.3. Cyclical Patterns; 4. Concluding Remarks; References; TRENDS IN MODELLING OF RADIONUCLIDESUPTAKE BY PARTICULATE MATTER IN THE MARINEENVIRONMENT USING BOX MODELS; Abstract; I. Introduction; II. Theory of Ion Exchange between Water and SuspendedParticles; III. Development of Kinetic Box Models; III. 1. The One-Step Reversible Reaction.
  • II. Theory of Ion Exchange between Water and SuspendedParticlesIII. Development of Kinetic Box Models; III. 1. The One-Step Reversible Reaction; III. 2. The Two-Step Model; III. 3. The Three-Step Model; IV. Applicability of Box Models; Strontium; Americium; Plutonium; V. Conclusion; References; SPATIAL DOWN-SCALING AS A TOOL TO IMPROVEMULTIFUNCTIONALITY INDICATORS IN ECONOMICMODELS; Abstract; 1. Introduction; 2. Methods; 2.1. The CAPRI Model1; 2.2. Regional Down-Scaling 3; 2.3. Meta-model of DNDC; 2.3. Meta-model of DNDC; 3. Indicators; 4. Indicator Performance; 5. Technical Solution.