Cargando…

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

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Rong, Yue, 1958-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Glendale, AZ : ILM Publications, ©2011.
Colección:Advanced topics in environmental science.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.