Practical Environmental Statistics and Data Analysis.

Intro -- TABLE OF CONTENTS -- FIGURE AND TABLE CAPTIONS FOR THE COLOUR INSERT -- THE EDITOR -- THE CONTRIBUTORS -- FOREWORD -- ACKNOWLEDGEMENTS -- PREFACE -- 1 Environmental Data, Information and Indicators for Natural Resources Management -- 1.1 INTRODUCTION -- 1.2 DATA VERSUS INFORMATION -- 1.3 ENVIRONMENTAL DATA ANALYSIS -- 1.4 DECISION MAKING FOR ENVIRONMENTAL MANAGEMENT -- 1.5 SMARTAND OPTIMA PROJECTS: GEDIZ CASE STUDY -- 1.6 CONCLUDING REMARKS -- REFERENCES -- 2 Application of Statistics in Earthquake Hazard Prediction -- 2.1 INTRODUCTION -- 2.2 MATHEMATICAL FORMULATION -- 2.3 EARTHQUAKE INTENSITYATTENUATION RELATIONS -- 2.4 AN EXAMPLE OF EARTHQUAKE HAZARD PREDICTION USING HISTORICAL SEISMICITY DATA -- 2.5 SUMMARY -- REFERENCES -- 3 Adaptive Sampling of Ecological Populations -- 3.1 INTRODUCTION -- 3.2 ADAPTIVE CLUSTER SAMPLING -- 3.3 ADAPTIVE ALLOCATION FOR STRATIFIED AND TWO-STAGE SAMPLING -- 3.4 DISCUSSION -- ACKNOWLEDGEMENTS -- REFERENCES -- 4 Statistics in Environmental Policy Making and Compliance in Surface Water Quality in California, USA -- 4.1 INTRODUCTION -- 4.2 CLEAN WATER ACTAND PORTER-COLOGNEWATER QUALITY CONTROL ACT -- 4.3 STATISTICS IN ENVIRONMENTAL STANDARDS AND WATER QUALITY CRITERIA -- 4.4 STATISTICS IN ENVIRONMENTAL SAMPLING DESIGN -- 4.5 CALIFORNIA STATE 303(D) LISTING POLICY -- 4.6 TOTAL MAXIMUM DAILY LOADS -- 4.7 IMPLEMENTATION OF ENVIRONMENTAL REGULATIONS -- ACKNOWLEDGEMENTS -- REFERENCES -- 5 Solving Complex Environmental Problems Using Stochastic Data Analysis: Characterisation of a Hydrothermal Aquifer Influenced by a Karst, Example of Rennes les Bains, France -- 5.1 INTRODUCTION -- 5.2 PRESENTATION OF THE RENNES LES BAINS SITE AND WATER GEOCHEMISTRY -- 5.3 ANALYSIS OF PIEZOMETRIC TIME SERIES -- 5.4 EVIDENCE OF THE PRESENCE OF ATHERMAL CONVECTION -- 5.5 CONCLUSION -- REFERENCES.

6 Application of Statistics in the Evaluation and Optimisation of Environmental Sampling Plans -- 6.1 INTRODUCTION -- 6.2 APPROACH -- 6.3 SITE APPLICATIONS -- 6.4 SUMMARY -- REFERENCES -- 7 Statistical Accounting for Uncertainty in Modelling Transport in Environmental Systems -- 7.1 INTRODUCTION -- 7.2 MODEL BACKGROUND -- 7.3 PARAMETER DATA -- 7.4 TRANSPORT IN UNIFORM AQUIFERS -- 7.5 VAPOUR INTRUSION OF HAZARDOUS COMPOUNDS INTO INDOOR AIR -- 7.6 CONTAMINATION OF MUNICIPAL WELL FIELDS -- 7.7 ONE SOURCE SIMULATION -- 7.8 TWO, FOUR AND SIX SOURCE SIMULATIONS -- 7.9 CONCLUSION -- ACKNOWLEDGEMENT -- REFERENCES -- 8 Petroleum Hydrocarbon Forensic Data and Cluster Analysis -- 8.1 INTRODUCTION -- 8.2 CLUSTER ANALYSIS -- 8.3 TYPES OF PETROLEUM HYDROCARBONS OR RELATED DATA FOR FORENSIC ANALYSIS -- 8.4 EXAMPLES -- 8.5 CONCLUDING REMARKS -- ACKNOWLEDGEMENTS -- REFERENCES -- 9 Anomaly Detection Methods for Hydrologists, Hydrogeologists and Environmental Engineers -- 9.1 INTRODUCTION -- 9.2 DIFFERENT TYPES OF ERRORS -- 9.3 ANOMALY DETECTION METHODS -- 9.4 CONSTRUCTION OF A VIRTUAL TIME SERIES OF REFERENCE -- 9.5 CASE STUDY -- 9.6 CONCLUSION -- REFERENCES -- 10 Statistical Methods and Pitfalls in Environmental Data Analysis -- 10.1 INTRODUCTION -- 10.2 ESTIMATION OF PERCENTILE AND CONFIDENCE INTERVAL -- 10.3 CORRELATION COEFFICIENT -- 10.4 REGRESSION -- 10.5 ANALYSIS OF VARIANCE -- 10.6 DATATREND ANALYSIS -- 10.7 SUMMARYAND CONCLUSIONS -- ACKNOWLEDGEMENT -- REFERENCES -- INDEX.

Most environmental problems involve a large degree of uncertainty, and one way to improve understanding of the issues affecting the global environment is the use of statistics. This book describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems. The book provides a perspective on how environmental professionals are practicing statistics in areas such as environmental forensics, ecological populations, environmental policy-making, groundwater monitoring networks, transport in environmental systems, and water quality monitoring. A section containing figures in full colour illustrates the topics discussed. The pitfalls of common statistical methods are also included to assist practitioners. With chapters contributed by international experts with backgrounds in academia, industry and government agencies, this book is required reading for environmental decision-makers, planners and regulators, as well as academics and professionals in environmental science, engineering and mathematics.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.