Practical environmental statistics and data analysis /:
"Describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems"--Provided by publisher
Gespeichert in:
Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Glendale, AZ :
ILM Publications,
©2011.
|
Schriftenreihe: | Advanced topics in environmental science.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "Describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems"--Provided by publisher |
Beschreibung: | 1 online resource : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781906799045 1906799040 |
Internformat
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245 | 0 | 0 | |a Practical environmental statistics and data analysis / |c edited by Yue Rong. |
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520 | |a "Describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems"--Provided by publisher | ||
505 | 0 | 0 | |g Chapter 1 |t Enviromnental Data, Information and Indicators for Natural Resources Management / |r Nilgun B. Harmancioglu |g Harmancioglu, Nilgun B., Cem Polat Cetinkaya |g Cetinkaya, Cem Polat, Filiz Barbaros |g Barbaros, Filiz |g 1 -- |g 1.1 |t Introduction |g 2 -- |g 1.2 |t Data versus information |g 6 -- |g 1.3 |t Environmental data analysis |g 15 -- |g 1.4 |t Decision making for environmental management |g 34 -- |g 1.5 |t SMART and OPTIMA projects: Gediz case study |g 41 -- |g 1.6 |t Concluding remarks |g 58 -- |t References |g 63 -- |g Chapter 2 |t Application of Statistics in Earthquake Hazard Prediction / |r Endi Zhai |g Zhai, Endi |g 67 -- |g 2.1 |t Introduction |g 67 -- |g 2.2 |t Mathematical formulation |g 68 -- |g 2.3 |t Earthquake intensity attenuation relations |g 74 -- |g 2.4 |t An example of earthquake hazard prediction using historical seismicity data |g 74 -- |g 2.5 |t Summary |g 78 -- |t References |g 79 -- |g Chapter 3 |t Adaptive Sampling of Ecological Populations / |r Jennifer A. Brown |g Brown, Jennifer A. |g 81 -- |g 3.1 |t Introduction |g 81 -- |g 3.2 |t Adaptive cluster sampling |g 82 -- |g 3.3 |t Adaptive allocation for stratified and two-stage sampling |g 87 -- |g 3.4 |t Discussion |g 92 -- |t Acknowledgements |g 93 -- |t References |g 93 -- |g Chapter 4 |t Statistics in Environmental Policy Making and Compliance in Surface Water Quality in California, USA / |r Jian Peng |g Peng, Jian |g 97 -- |g 4.1 |t Introduction |g 97 -- |g 4.2 |t Clean Water Act and Porter-Cologne Water Quality Control Act |g 98 -- |g 4.3 |t Statistics in environmental standards and water quality criteria |g 99 -- |g 4.4 |t Statistics in environmental sampling design |g 103 -- |g 4.5 |t California State 303(d) listing policy |g 104 -- |g 4.6 |t Total maximum daily loads |g 108 -- |g 4.7 |t Implementation of environmental regulations |g 110 -- |t Acknowledgements |g 112 -- |t References |g 113 -- |g Chapter 5 |t Solving Complex Environmental Problems Using Stochastic Data Analysis: Characterisation of a HydrothermaI Aquifer Influenced by a Karst, Example of Rennes les Bains, France / |r Alain Mangin |g Mangin, Alain, Farid Achour |g Achour, Farid |g 117 -- |g 5.1 |t Introduction |g 117 -- |g 5.2 |t Presentation of the Rennes les Bains site and water geochemistry |g 118 -- |g 5.3 |t Analysis of piezometric time series |g 120 -- |g 5.4 |t Evidence of the presence of a thermal convection |g 134 -- |g 5.5 |t Conclusion |g 135 -- |t References |g 136 -- |g Chapter 6 |t Application of Statistics in the Evaluation and Optimisation of Environmental Sampling Plans / |r Meng Ling |g Ling, Meng, Jeff Kao |g Kao, Jeff |g 141 -- |g 6.1 |t Introduction |g 141 -- |g 6.2 |t Approach |g 142 -- |g 6.3 |t Site applications |g 151 -- |g 6.4 |t Summary |g 160 -- |t References |g 161 -- |g Chapter 7 |t Statistical Accounting for Uncertainty in Modelling Transport in Environmental Systems / |r James Weaver |g Weaver, James, Jordan Ferguson |g Ferguson, Jordan, Matthew Small |g Small, Matthew, Biplab Mukherjee |g Mukherjee, Biplab, Fred Tillman |g Tillman, Fred |g 163 -- |g 7.1 |t Introduction |g 163 -- |g 7.2 |t Model background |g 166 -- |g 7.3 |t Parameter data |g 168 -- |g 7.4 |t Transport in uniform aquifers |g 171 -- |g 7.5 |t Vapour intrusion of hazardous compounds into indoor air |g 173 -- |g 7.6 |t Contamination of municipal well fields |g 175 -- |g 7.7 |t One source simulation |g 180 -- |g 7.8 |t Two, four and six source simulations |g 184 -- |g 7.9 |t Conclusion |g 190 -- |t Acknowledgement |g 191 -- |t References |g 191 -- |g Chapter 8 |t Petroleum Hydrocarbon Forensic Data and Cluster Analysis / |r Jun Lu |g Lu, Jun |g 195 -- |g 8.1 |t Introduction |g 195 -- |g 8.2 |t Cluster analysis |g 196 -- |g 8.3 |t Types of petroleum hydrocarbons or related data for forensic analysis |g 198 -- |g 8.4 |t Examples |g 204 -- |g 8.5 |t Concluding remarks |g 214 -- |t Acknowledgements |g 214 -- |t References |g 215 -- |g Chapter 9 |t Anomaly Detection Methods for Hydrologists, Hydrogeologists and Environmental Engineers / |r Farid Achour |g Achour, Farid, Jean-Pierre Laborde |g Laborde, Jean-Pierre, Lynda Bouali |g Bouali, Lynda |g 217 -- |g 9.1 |t Introduction |g 217 -- |g 9.2 |t Different types of errors |g 219 -- |g 9.3 |t Anomaly detection methods |g 219 -- |g 9.4 |t Construction of a virtual time series of reference |g 227 -- |g 9.5 |t Case study |g 234 -- |g 9.6 |t Conclusion |g 237 -- |t References |g 240 -- |g Chapter 10 |t Statistical Methods and Pitfalls in Environmental Data Analysis / |r Yue Rong |g Rong, Yue |g 243 -- |g 10.1 |t Introduction |g 243 -- |g 10.2 |t Estimation of percentile and confidence interval |g 244 -- |g 10.3 |t Correlation coefficient |g 247 -- |g 10.4 |t Regression |g 249 -- |g 10.5 |t Analysis of variance |g 252 -- |g 10.6 |t Data trend analysis |g 256 -- |g 10.7 |t Summary and conclusions |g 258 -- |t Acknowledgement |g 258 -- |t References |g 259. |
588 | 0 | |a Print version record. | |
650 | 0 | |a Environmental sciences |x Statistical methods. | |
650 | 0 | |a Environmental sciences |x Data processing. | |
650 | 6 | |a Sciences de l'environnement |x Méthodes statistiques. | |
650 | 6 | |a Sciences de l'environnement |x Informatique. | |
650 | 7 | |a NATURE |x Ecology. |2 bisacsh | |
650 | 7 | |a NATURE |x Ecosystems & Habitats |x Wilderness. |2 bisacsh | |
650 | 7 | |a SCIENCE |x Environmental Science. |2 bisacsh | |
650 | 7 | |a SCIENCE |x Life Sciences |x Ecology. |2 bisacsh | |
650 | 7 | |a Environmental sciences |x Data processing |2 fast | |
650 | 7 | |a Environmental sciences |x Statistical methods |2 fast | |
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adam_text | |
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author2 | Rong, Yue, 1958- |
author2_role | |
author2_variant | y r yr |
author_GND | http://id.loc.gov/authorities/names/n2011009597 |
author_additional | Nilgun B. Harmancioglu Endi Zhai Jennifer A. Brown Jian Peng Alain Mangin Meng Ling James Weaver Jun Lu Farid Achour Yue Rong |
author_facet | Rong, Yue, 1958- |
author_sort | Rong, Yue, 1958- |
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contents | Enviromnental Data, Information and Indicators for Natural Resources Management / Introduction Data versus information Environmental data analysis Decision making for environmental management SMART and OPTIMA projects: Gediz case study Concluding remarks References Application of Statistics in Earthquake Hazard Prediction / Mathematical formulation Earthquake intensity attenuation relations An example of earthquake hazard prediction using historical seismicity data Summary Adaptive Sampling of Ecological Populations / Adaptive cluster sampling Adaptive allocation for stratified and two-stage sampling Discussion Acknowledgements Statistics in Environmental Policy Making and Compliance in Surface Water Quality in California, USA / Clean Water Act and Porter-Cologne Water Quality Control Act Statistics in environmental standards and water quality criteria Statistics in environmental sampling design California State 303(d) listing policy Total maximum daily loads Implementation of environmental regulations Solving Complex Environmental Problems Using Stochastic Data Analysis: Characterisation of a HydrothermaI Aquifer Influenced by a Karst, Example of Rennes les Bains, France / Presentation of the Rennes les Bains site and water geochemistry Analysis of piezometric time series Evidence of the presence of a thermal convection Conclusion Application of Statistics in the Evaluation and Optimisation of Environmental Sampling Plans / Approach Site applications Statistical Accounting for Uncertainty in Modelling Transport in Environmental Systems / Model background Parameter data Transport in uniform aquifers Vapour intrusion of hazardous compounds into indoor air Contamination of municipal well fields One source simulation Two, four and six source simulations Acknowledgement Petroleum Hydrocarbon Forensic Data and Cluster Analysis / Cluster analysis Types of petroleum hydrocarbons or related data for forensic analysis Examples Anomaly Detection Methods for Hydrologists, Hydrogeologists and Environmental Engineers / Different types of errors Anomaly detection methods Construction of a virtual time series of reference Case study Statistical Methods and Pitfalls in Environmental Data Analysis / Estimation of percentile and confidence interval Correlation coefficient Regression Analysis of variance Data trend analysis Summary and conclusions |
ctrlnum | (OCoLC)827788262 |
dewey-full | 577.072/7 |
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dewey-ones | 577 - Ecology |
dewey-raw | 577.072/7 |
dewey-search | 577.072/7 |
dewey-sort | 3577.072 17 |
dewey-tens | 570 - Biology |
discipline | Biologie |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn827788262 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:25:11Z |
institution | BVB |
isbn | 9781906799045 1906799040 |
language | English |
oclc_num | 827788262 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource : illustrations |
psigel | ZDB-4-EBA |
publishDate | 2011 |
publishDateSearch | 2011 |
publishDateSort | 2011 |
publisher | ILM Publications, |
record_format | marc |
series | Advanced topics in environmental science. |
series2 | Advanced topics in environmental science series |
spelling | Practical environmental statistics and data analysis / edited by Yue Rong. Glendale, AZ : ILM Publications, ©2011. 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Advanced topics in environmental science series Includes bibliographical references and index. "Describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems"--Provided by publisher Chapter 1 Enviromnental Data, Information and Indicators for Natural Resources Management / Nilgun B. Harmancioglu Harmancioglu, Nilgun B., Cem Polat Cetinkaya Cetinkaya, Cem Polat, Filiz Barbaros Barbaros, Filiz 1 -- 1.1 Introduction 2 -- 1.2 Data versus information 6 -- 1.3 Environmental data analysis 15 -- 1.4 Decision making for environmental management 34 -- 1.5 SMART and OPTIMA projects: Gediz case study 41 -- 1.6 Concluding remarks 58 -- References 63 -- Chapter 2 Application of Statistics in Earthquake Hazard Prediction / Endi Zhai Zhai, Endi 67 -- 2.1 Introduction 67 -- 2.2 Mathematical formulation 68 -- 2.3 Earthquake intensity attenuation relations 74 -- 2.4 An example of earthquake hazard prediction using historical seismicity data 74 -- 2.5 Summary 78 -- References 79 -- Chapter 3 Adaptive Sampling of Ecological Populations / Jennifer A. Brown Brown, Jennifer A. 81 -- 3.1 Introduction 81 -- 3.2 Adaptive cluster sampling 82 -- 3.3 Adaptive allocation for stratified and two-stage sampling 87 -- 3.4 Discussion 92 -- Acknowledgements 93 -- References 93 -- Chapter 4 Statistics in Environmental Policy Making and Compliance in Surface Water Quality in California, USA / Jian Peng Peng, Jian 97 -- 4.1 Introduction 97 -- 4.2 Clean Water Act and Porter-Cologne Water Quality Control Act 98 -- 4.3 Statistics in environmental standards and water quality criteria 99 -- 4.4 Statistics in environmental sampling design 103 -- 4.5 California State 303(d) listing policy 104 -- 4.6 Total maximum daily loads 108 -- 4.7 Implementation of environmental regulations 110 -- Acknowledgements 112 -- References 113 -- Chapter 5 Solving Complex Environmental Problems Using Stochastic Data Analysis: Characterisation of a HydrothermaI Aquifer Influenced by a Karst, Example of Rennes les Bains, France / Alain Mangin Mangin, Alain, Farid Achour Achour, Farid 117 -- 5.1 Introduction 117 -- 5.2 Presentation of the Rennes les Bains site and water geochemistry 118 -- 5.3 Analysis of piezometric time series 120 -- 5.4 Evidence of the presence of a thermal convection 134 -- 5.5 Conclusion 135 -- References 136 -- Chapter 6 Application of Statistics in the Evaluation and Optimisation of Environmental Sampling Plans / Meng Ling Ling, Meng, Jeff Kao Kao, Jeff 141 -- 6.1 Introduction 141 -- 6.2 Approach 142 -- 6.3 Site applications 151 -- 6.4 Summary 160 -- References 161 -- Chapter 7 Statistical Accounting for Uncertainty in Modelling Transport in Environmental Systems / James Weaver Weaver, James, Jordan Ferguson Ferguson, Jordan, Matthew Small Small, Matthew, Biplab Mukherjee Mukherjee, Biplab, Fred Tillman Tillman, Fred 163 -- 7.1 Introduction 163 -- 7.2 Model background 166 -- 7.3 Parameter data 168 -- 7.4 Transport in uniform aquifers 171 -- 7.5 Vapour intrusion of hazardous compounds into indoor air 173 -- 7.6 Contamination of municipal well fields 175 -- 7.7 One source simulation 180 -- 7.8 Two, four and six source simulations 184 -- 7.9 Conclusion 190 -- Acknowledgement 191 -- References 191 -- Chapter 8 Petroleum Hydrocarbon Forensic Data and Cluster Analysis / Jun Lu Lu, Jun 195 -- 8.1 Introduction 195 -- 8.2 Cluster analysis 196 -- 8.3 Types of petroleum hydrocarbons or related data for forensic analysis 198 -- 8.4 Examples 204 -- 8.5 Concluding remarks 214 -- Acknowledgements 214 -- References 215 -- Chapter 9 Anomaly Detection Methods for Hydrologists, Hydrogeologists and Environmental Engineers / Farid Achour Achour, Farid, Jean-Pierre Laborde Laborde, Jean-Pierre, Lynda Bouali Bouali, Lynda 217 -- 9.1 Introduction 217 -- 9.2 Different types of errors 219 -- 9.3 Anomaly detection methods 219 -- 9.4 Construction of a virtual time series of reference 227 -- 9.5 Case study 234 -- 9.6 Conclusion 237 -- References 240 -- Chapter 10 Statistical Methods and Pitfalls in Environmental Data Analysis / Yue Rong Rong, Yue 243 -- 10.1 Introduction 243 -- 10.2 Estimation of percentile and confidence interval 244 -- 10.3 Correlation coefficient 247 -- 10.4 Regression 249 -- 10.5 Analysis of variance 252 -- 10.6 Data trend analysis 256 -- 10.7 Summary and conclusions 258 -- Acknowledgement 258 -- References 259. Print version record. Environmental sciences Statistical methods. Environmental sciences Data processing. Sciences de l'environnement Méthodes statistiques. Sciences de l'environnement Informatique. NATURE Ecology. bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh SCIENCE Environmental Science. bisacsh SCIENCE Life Sciences Ecology. bisacsh Environmental sciences Data processing fast Environmental sciences Statistical methods fast Rong, Yue, 1958- http://id.loc.gov/authorities/names/n2011009597 Print version: Practical environmental statistics and data analysis. Glendale, AZ : ILM Publications, ©2011 9781906799045 (DLC) 2011004906 (OCoLC)702647566 Advanced topics in environmental science. http://id.loc.gov/authorities/names/no2010057878 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=494287 Volltext |
spellingShingle | Practical environmental statistics and data analysis / Advanced topics in environmental science. Enviromnental Data, Information and Indicators for Natural Resources Management / Introduction Data versus information Environmental data analysis Decision making for environmental management SMART and OPTIMA projects: Gediz case study Concluding remarks References Application of Statistics in Earthquake Hazard Prediction / Mathematical formulation Earthquake intensity attenuation relations An example of earthquake hazard prediction using historical seismicity data Summary Adaptive Sampling of Ecological Populations / Adaptive cluster sampling Adaptive allocation for stratified and two-stage sampling Discussion Acknowledgements Statistics in Environmental Policy Making and Compliance in Surface Water Quality in California, USA / Clean Water Act and Porter-Cologne Water Quality Control Act Statistics in environmental standards and water quality criteria Statistics in environmental sampling design California State 303(d) listing policy Total maximum daily loads Implementation of environmental regulations Solving Complex Environmental Problems Using Stochastic Data Analysis: Characterisation of a HydrothermaI Aquifer Influenced by a Karst, Example of Rennes les Bains, France / Presentation of the Rennes les Bains site and water geochemistry Analysis of piezometric time series Evidence of the presence of a thermal convection Conclusion Application of Statistics in the Evaluation and Optimisation of Environmental Sampling Plans / Approach Site applications Statistical Accounting for Uncertainty in Modelling Transport in Environmental Systems / Model background Parameter data Transport in uniform aquifers Vapour intrusion of hazardous compounds into indoor air Contamination of municipal well fields One source simulation Two, four and six source simulations Acknowledgement Petroleum Hydrocarbon Forensic Data and Cluster Analysis / Cluster analysis Types of petroleum hydrocarbons or related data for forensic analysis Examples Anomaly Detection Methods for Hydrologists, Hydrogeologists and Environmental Engineers / Different types of errors Anomaly detection methods Construction of a virtual time series of reference Case study Statistical Methods and Pitfalls in Environmental Data Analysis / Estimation of percentile and confidence interval Correlation coefficient Regression Analysis of variance Data trend analysis Summary and conclusions Environmental sciences Statistical methods. Environmental sciences Data processing. Sciences de l'environnement Méthodes statistiques. Sciences de l'environnement Informatique. NATURE Ecology. bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh SCIENCE Environmental Science. bisacsh SCIENCE Life Sciences Ecology. bisacsh Environmental sciences Data processing fast Environmental sciences Statistical methods fast |
title | Practical environmental statistics and data analysis / |
title_alt | Enviromnental Data, Information and Indicators for Natural Resources Management / Introduction Data versus information Environmental data analysis Decision making for environmental management SMART and OPTIMA projects: Gediz case study Concluding remarks References Application of Statistics in Earthquake Hazard Prediction / Mathematical formulation Earthquake intensity attenuation relations An example of earthquake hazard prediction using historical seismicity data Summary Adaptive Sampling of Ecological Populations / Adaptive cluster sampling Adaptive allocation for stratified and two-stage sampling Discussion Acknowledgements Statistics in Environmental Policy Making and Compliance in Surface Water Quality in California, USA / Clean Water Act and Porter-Cologne Water Quality Control Act Statistics in environmental standards and water quality criteria Statistics in environmental sampling design California State 303(d) listing policy Total maximum daily loads Implementation of environmental regulations Solving Complex Environmental Problems Using Stochastic Data Analysis: Characterisation of a HydrothermaI Aquifer Influenced by a Karst, Example of Rennes les Bains, France / Presentation of the Rennes les Bains site and water geochemistry Analysis of piezometric time series Evidence of the presence of a thermal convection Conclusion Application of Statistics in the Evaluation and Optimisation of Environmental Sampling Plans / Approach Site applications Statistical Accounting for Uncertainty in Modelling Transport in Environmental Systems / Model background Parameter data Transport in uniform aquifers Vapour intrusion of hazardous compounds into indoor air Contamination of municipal well fields One source simulation Two, four and six source simulations Acknowledgement Petroleum Hydrocarbon Forensic Data and Cluster Analysis / Cluster analysis Types of petroleum hydrocarbons or related data for forensic analysis Examples Anomaly Detection Methods for Hydrologists, Hydrogeologists and Environmental Engineers / Different types of errors Anomaly detection methods Construction of a virtual time series of reference Case study Statistical Methods and Pitfalls in Environmental Data Analysis / Estimation of percentile and confidence interval Correlation coefficient Regression Analysis of variance Data trend analysis Summary and conclusions |
title_auth | Practical environmental statistics and data analysis / |
title_exact_search | Practical environmental statistics and data analysis / |
title_full | Practical environmental statistics and data analysis / edited by Yue Rong. |
title_fullStr | Practical environmental statistics and data analysis / edited by Yue Rong. |
title_full_unstemmed | Practical environmental statistics and data analysis / edited by Yue Rong. |
title_short | Practical environmental statistics and data analysis / |
title_sort | practical environmental statistics and data analysis |
topic | Environmental sciences Statistical methods. Environmental sciences Data processing. Sciences de l'environnement Méthodes statistiques. Sciences de l'environnement Informatique. NATURE Ecology. bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh SCIENCE Environmental Science. bisacsh SCIENCE Life Sciences Ecology. bisacsh Environmental sciences Data processing fast Environmental sciences Statistical methods fast |
topic_facet | Environmental sciences Statistical methods. Environmental sciences Data processing. Sciences de l'environnement Méthodes statistiques. Sciences de l'environnement Informatique. NATURE Ecology. NATURE Ecosystems & Habitats Wilderness. SCIENCE Environmental Science. SCIENCE Life Sciences Ecology. Environmental sciences Data processing Environmental sciences Statistical methods |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=494287 |
work_keys_str_mv | AT rongyue practicalenvironmentalstatisticsanddataanalysis |