Environmental modelling :: new research /
Gespeichert in:
Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York :
Nova Science Publishers, Inc.,
[2009]
|
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 1 online resource |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781617284113 1617284114 |
Internformat
MARC
LEADER | 00000cam a2200000 i 4500 | ||
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245 | 0 | 0 | |a Environmental modelling : |b new research / |c Paul N. Findley, editor. |
264 | 1 | |a New York : |b Nova Science Publishers, Inc., |c [2009] | |
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504 | |a Includes bibliographical references and index. | ||
588 | 0 | |a Print version record. | |
505 | 0 | |a 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. | |
505 | 8 | |a 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? | |
505 | 8 | |a 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 the Retrieval 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. | |
505 | 8 | |a 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. | |
505 | 8 | |a 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. | |
546 | |a English. | ||
650 | 0 | |a Environmental sciences |x Mathematical models. | |
650 | 6 | |a Sciences de l'environnement |x Modèles mathématiques. | |
650 | 7 | |a SCIENCE |x Environmental Science (see also Chemistry |x Environmental) |2 bisacsh | |
650 | 7 | |a NATURE |x Ecosystems & Habitats |x Wilderness. |2 bisacsh | |
650 | 7 | |a NATURE |x Ecology. |2 bisacsh | |
650 | 7 | |a SCIENCE |x Life Sciences |x Ecology. |2 bisacsh | |
650 | 7 | |a Environmental sciences |x Mathematical models |2 fast | |
700 | 1 | |a Findley, Paul N., |e editor. | |
776 | 0 | 8 | |i Print version: |t Environmental modelling. |d New York : Nova Science Publishers, ©2009 |z 1606920340 |w (DLC) 2008037503 |
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Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBA-ocn952759633 |
---|---|
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adam_text | |
any_adam_object | |
author2 | Findley, Paul N. |
author2_role | edt |
author2_variant | p n f pn pnf |
author_facet | Findley, Paul N. |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | G - Geography, Anthropology, Recreation |
callnumber-label | GE45 |
callnumber-raw | GE45.M37 |
callnumber-search | GE45.M37 |
callnumber-sort | GE 245 M37 |
callnumber-subject | GE - Environmental Sciences |
collection | ZDB-4-EBA |
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 the Retrieval 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. |
ctrlnum | (OCoLC)952759633 |
dewey-full | 577.01/5118 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 577 - Ecology |
dewey-raw | 577.01/5118 |
dewey-search | 577.01/5118 |
dewey-sort | 3577.01 45118 |
dewey-tens | 570 - Biology |
discipline | Biologie |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-11-27T13:27:16Z |
institution | BVB |
isbn | 9781617284113 1617284114 |
language | English |
lccn | 2020685345 |
oclc_num | 952759633 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource |
psigel | ZDB-4-EBA |
publishDate | 2009 |
publishDateSearch | 2009 |
publishDateSort | 2009 |
publisher | Nova Science Publishers, Inc., |
record_format | marc |
spelling | Environmental modelling : new research / Paul N. Findley, editor. New York : Nova Science Publishers, Inc., [2009] 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier polychrome. rdacc http://rdaregistry.info/termList/RDAColourContent/1003 text file rdaft http://rdaregistry.info/termList/fileType/1002 Includes bibliographical references and index. Print version record. 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 the Retrieval 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. English. Environmental sciences Mathematical models. Sciences de l'environnement Modèles mathématiques. SCIENCE Environmental Science (see also Chemistry Environmental) bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh NATURE Ecology. bisacsh SCIENCE Life Sciences Ecology. bisacsh Environmental sciences Mathematical models fast Findley, Paul N., editor. Print version: Environmental modelling. New York : Nova Science Publishers, ©2009 1606920340 (DLC) 2008037503 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=333613 Volltext |
spellingShingle | Environmental modelling : new research / 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 the Retrieval 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. Environmental sciences Mathematical models. Sciences de l'environnement Modèles mathématiques. SCIENCE Environmental Science (see also Chemistry Environmental) bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh NATURE Ecology. bisacsh SCIENCE Life Sciences Ecology. bisacsh Environmental sciences Mathematical models fast |
title | Environmental modelling : new research / |
title_auth | Environmental modelling : new research / |
title_exact_search | Environmental modelling : new research / |
title_full | Environmental modelling : new research / Paul N. Findley, editor. |
title_fullStr | Environmental modelling : new research / Paul N. Findley, editor. |
title_full_unstemmed | Environmental modelling : new research / Paul N. Findley, editor. |
title_short | Environmental modelling : |
title_sort | environmental modelling new research |
title_sub | new research / |
topic | Environmental sciences Mathematical models. Sciences de l'environnement Modèles mathématiques. SCIENCE Environmental Science (see also Chemistry Environmental) bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh NATURE Ecology. bisacsh SCIENCE Life Sciences Ecology. bisacsh Environmental sciences Mathematical models fast |
topic_facet | Environmental sciences Mathematical models. Sciences de l'environnement Modèles mathématiques. SCIENCE Environmental Science (see also Chemistry Environmental) NATURE Ecosystems & Habitats Wilderness. NATURE Ecology. SCIENCE Life Sciences Ecology. Environmental sciences Mathematical models |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=333613 |
work_keys_str_mv | AT findleypauln environmentalmodellingnewresearch |