1  20
Next
Number of results to display per page
 Washington, D.C. : National Academies Press, c2007.
 Description
 Book — xvi, 267 p. : ill. ; 23 cm.
 Summary

 1 Front Matter 2 Summary 3 1 Study Background 4 2 Model Use in the Environmental Regulatory Decision Process 5 3 Model Development 6 4 Model Evaluation 7 5 Model Selection and Use 8 6 Future Modeling Issues 9 Epilogue 10 References 11 Glossary 12 Appendix A Biographical Information on the Committee on Models in the Regulatory Decision Process 13 Appendix B Public Workshop Presentations to the Committee on Models in the Regulatory Decision Process 14 Appendix C Categories of Environmental Regulatory Models.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
 National Research Council (U.S.). Committee on Improving Risk Analysis Approaches Used by the U.S. EPA.
 Washington, D.C. : National Academies Press, c2009.
 Description
 Book — xviii, 403 p. : ill. ; 26 cm.
 Summary

 1 Front Matter 2 Summary 3 1 Introduction 4 2 Evolution and Use of Risk Assessment in the Environmental Protection Agency: Current Practice and Future Prospects 5 3 The Design of Risk Assessments 6 4 Uncertainty and Variability: The Recurring and Recalcitrant Elements of Risk Assessment 7 5 Toward a Unified Approach to DoseResponse Assessment 8 6 Selection and Use of Defaults 9 7 Implementing Cumulative Risk Assessment 10 8 Improving the Utility of Risk Assessment 11 9 Toward Improved RiskBased DecisionMaking 12 Appendix A: Biographic Information on the Committee on Improving Risk Analysis Approaches Used by the Environmental Protection Agency 13 Appendix B: Statement of Task of the Committee on Improving Risk Analysis Approaches Used by the Environmental Protection Agency 14 Appendix C: Timeline of Selected Environmental Protection Agency RiskAssessment Activities 15 Appendix D: Environmental Protection Agency Response to Recommendations from Selected NRC Reports: Policy, Activity, and Practice 16 Appendix E: Environmental Protection Agency Program and Region Responses to Questions from the Committee 17 Appendix F: Case Studies of the Framework for RiskBased DecisionMaking.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
3. Inside EPA's risk policy report [1994  ]
 Washington, DC : Inside Washington Publishers, 1994
 Description
 Journal/Periodical — volumes ; 28 cm
 McBean, Edward A., author.
 Hoboken, NJ : John Wiley & Sons, Inc., 2019.
 Description
 Book — xvii, 312 pages ; 27 cm
 Summary

 Preface xi Author of the Book xiii Acknowledgments xv About the Companion Website xvii
 1 Background to Risk Assessment and Management 1 1.1 The Case for Risk Assessment, Leading to Risk Management 1 1.2 The Need for Risk Quantification 3 1.3 Environmental Risk 5 1.4 A Measure of Quantifying Risk: Loss of Life Expectancy 5 1.5 Reliance on Environmental Data 6 1.5.1 Characteristics of Data 6 1.5.2 Indications of the Sources of Variability in Environmental Data 7 1.5.3 Independence of Successive Data Values 8 1.5.4 Uncertainties and Errors in Environmental Quality Data 9 1.6 Some Summary Indications of Approaches for Statistical Analyses 11 1.7 Overview of Book Content 12 1.8 References 12 1.9 Problems 13 Part I Methodologies for Risk Characterization 15
 2 Introduction to Risk Assessment 17 2.1 Challenges in Risk Assessment 17 2.2 Categories of Risk 19 2.3 De Minimis Risk 20 2.4 Toxicological Versus Epidemiological Data 22 2.5 Basics of Environmental Risk Assessment 23 2.6 Estimating Intake (Dose) 24 2.7 Calculating the Risk for Noncarcinogens 26 2.8 Calculating Risks for Carcinogens 31 2.8.1 Background to Classification System for Carcinogens 31 2.8.2 Calculating Risk from Carcinogens 31 2.8.3 Generalization to Allow Quantification of Exposure Assessment for Other Scenarios 35 2.8.3.1 Construction/Utility Worker 36 2.9 Ecological Risk Assessment 43 2.10 Issues of Uncertainties in Risk 48 2.11 References 48 2.12 Problems 49
 3 Factors Influencing the Assessment and Management of Risk 55 3.1 Background for Some of the Issues Influencing Risk Assessment and Management 55 3.2 Issues of Perception Versus Reality in Risk Assessment 55 3.2.1 Influential Roles of the Public 55 3.2.2 Differences in Risk Characterization: Public Perception Versus the Reality of Risk 56 3.2.3 Characteristics of Risk Which Influence Risk Perception 60 3.2.3.1 People's Behavior 61 3.2.4 Magnitudes and Consequences of Risk Influence People's Willingness to Accept Risk 61 3.2.5 Examples of Trade?]Offs Between Contributing Factors 62 3.2.5.1 Underestimation of Risk 63 3.2.5.2 The Influence of Voluntary and Involuntary Aspects of Risks 65 3.2.5.3 Dreadfulness of the Outcome 65 3.2.5.4 Visibility of the Hazard 65 3.2.5.5 Media Influences on Perception of Risks 65 3.3 Qualitative Risk Characterization and ProbabilityImpact Matrix Procedures 66 3.3.1 Introduction to ProbabilityImpact Matrix Procedures 66 3.3.2 Issues with the Risk Matrix Approach 69 3.4 Microbial Risk Assessment 69 3.5 References 74 3.6 Problems 75
 4 Characteristics of Environmental Quality Data 79 4.1 Background to Data 79 4.2 Characteristics of Environmental Quality Data 80 4.2.1 Indications of the Sources of Variability in Environmental Data 80 4.2.2 Independence of Successive Data Values 81 4.2.3 Uncertainties and Errors in Environmental Quality Data 82 4.3 Some Summary Indications of Approaches for Statistical Analyses 84 4.4 Samples and Populations 85 4.5 Probability and Statistics 86 4.6 Graphical Data Descriptors 86 4.6.1 Histograms of Data 87 4.6.2 Probability Density Functions 87 4.6.3 Cumulative Distribution Functions 89 4.7 Summary Measures of the Distribution of Data 91 4.7.1 Measures of Central Tendency 91 4.7.2 Measures of the Dispersion of Data: Variance, Standard Deviation, and Range 94 4.7.3 Skewness 97 4.7.4 Kurtosis 98 4.7.5 Some Summary Comments 99 4.8 Further Summary Measures of the Distribution of Data 100 4.8.1 Coefficient of Variation 100 4.8.2 Standard Error of the Mean 101 4.8.3 Standard Errors 102 4.8.4 Summary Descriptors 103 4.9 Conditional Probability and Bayes Theorem 103 4.9.1 Basic Probability Concepts 103 4.9.2 Bayes' Theorem 105 4.10 Summary 106 4.11 References 106 4.12 Problems 107 Part II Characterization of Common Distributions 109
 5 The Normal or Gaussian Distribution 111 5.1 Introduction 111 5.2 The Mathematics of the Normal Distribution 112 5.3 Tests for Normality 115 5.3.1 Coefficient of Variation Test for Normality 116 5.3.2 Skewness and Kurtosis Coefficient Tests for Normality 119 5.3.3 Probability Plots 119 5.3.4 The Chi?]Square Goodness?]of?]Fit Test 125 5.3.5 The KolmogorovSmirnov Goodness?]of?]Fit Test 128 5.3.6 The ShapiroWilk W Test 130 5.3.7 The ShapiroFrancia Test 134 5.3.8 Data Transformations 135 5.3.9 Summary of Goodness?]of?]Fit Tests 135 5.4 The t?]Distribution 136 5.5 Extent of Use of the Normal Distribution 136 5.6 Summary Comments 136 5.7 References 136 5.8 Problems 137
 6 The Lognormal Distribution 141 6.1 Introduction 141 6.2 Important Features of the Lognormal Distribution 141 6.2.1 The Central Limit Theorem 141 6.2.2 The Mathematics of the Lognormal Distribution 142 6.2.3 Probability Paper 145 6.3 Tests for Lognormality 147 6.4 Generation of Lognormal Concentration Data 148 6.5 References 149 6.6 Problems 150
 7 Other Distributions Useful for Characterizing Environmental Quality Data 153 7.1 Introduction 153 7.2 The Poisson Distribution 153 7.3 Extreme Value Distributions 155 7.3.1 The Gumbel Distribution 156 7.3.2 Log Pearson Type III Distribution 158 7.4 References 160 7.5 Problem 161 Part III Hypothesis Testing of Environmental Quality 163
 8 Identification of System Changes and Outliers Using Control Charts 165 8.1 Introduction 165 8.2 Tolerance Intervals 166 8.3 Confidence Intervals 173 8.3.1 Confidence Limits Using the Normal Distribution (and the t?]Distribution) 173 8.3.2 Confidence Limits for Lognormally Distributed Data 175 8.3.3 Distribution?]Free or Nonparametric Confidence Limits 175 8.4 Prediction Interval Characterizations 176 8.4.1 The t?]Distribution Prediction Intervals 176 8.5 Detection of Data Outliers 178 8.6 Summary of Approaches for Identifying Data Outliers 186 8.7 References 186 8.8 Problems 186
 9 Hypothesis Testing: Testing Statistical Significance of Differences Between Data for Single Constituents 189 9.1 Introduction 189 9.2 Details of Hypothesis Testing 191 9.3 Steps for Significance Testing 193 9.4 Student's t?]Test 193 9.4.1 Development of the Equations 193 9.4.1.1 Comparing One Sample with the Population Mean 193 9.4.1.2 One?]Sided Versus Two?]Sided Tests 198 9.4.1.3 Comparing Two Samples for Significance of Difference 198 9.4.1.4 Assumptions Implicit in the t?]Test 199 9.4.2 Effect of Unequal Variances 201 9.4.2.1 Pooled Variance 204 9.4.3 Effect of Nonnormality on the Hypothesis Test 207 9.4.4 Assumption of Independence 208 9.4.5 Examples of t?]Test Applications 209 9.5 Acceptance and Rejection Regions 211 9.6 Power of the Discrimination Tests 213 9.6.1 Power of the t?]Test 215 9.7 Extensions of the t?]Test 216 9.7.1 Satterthwaite's Modified t?]Test 216 9.7.2 Cochran's Approximation to the BehrensFisher t?]Test 217 9.7.3 Paired t?]Test 218 9.7.4 Summary of Alternative Tests 223 9.8 References 223 9.9 Problems 224
 10 Multiple Comparisons Using Parametric Analyses 227 10.1 Introduction 227 10.2 Analysis of Variance (ANOVA) 228 10.2.1 Development of the Null Hypothesis 228 10.2.2 Multiple Comparisons and Statistical Power 229 10.2.3 One?]Way ANOVA and Two?]Way Tests of ANOVA 229 10.3 Testing for Homogeneity of Variance 230 10.3.1 Box Plots 230 10.3.2 Levene's Test 230 10.3.3 Bartlett's Test 232 10.4 ANOVA Procedure 234 10.5 Two?]Way ANOVA 238 10.6 Iterations and Data Transformations 238 10.7 Concerns with Multiple Comparisons 239 10.8 Summary 239 10.9 References 240 10.10 Problems 240
 11 Testing Differences Between Monitoring Records When Censored Data Records Exist 245 11.1 Introduction 245 11.2 Alternative Types of Censoring 246 11.3 Alternative Procedures for Statistical Analysis of Environmental Quality Datasets 250 11.3.1 Simple Substitution Methods 250 11.3.2 Test of Proportions 251 11.3.3 Plotting Position Procedure 253 11.3.4 Cohen's Test 254 11.3.5 Aitchison's Method 256 11.3.6 Maximum Likelihood Procedure 258 11.4 Multiple Detection Limits 259 11.5 References 259 11.6 Problems 260
 12 Nonparametric Procedures 263 12.1 Introduction 263 12.2 Single Comparison Procedures 264 12.2.1 MannWhitney Test 264 12.2.1.1 Use of the MannWhitney Test to Test Equality of Variance 266 12.2.2 Spearman's Rank Correlation Coefficient 266 12.2.3 Sign Test for Paired Observations 267 12.3 Multiple Comparison Procedures 268 12.3.1 KruskalWallis Test (or Nonparametric ANOVA) 268 12.3.2 Special Consideration of the KruskalWallis Test 271 12.4 References 274 12.5 Problems 274 Appendix A 277 Index 309.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
GE145 .M48 2019  Unknown 
 New York : Cambridge University Press, 2013.
 Description
 Book — xi, 574 p. : ill., maps ; 26 cm.
 Summary

 List of contributors Preface
 1. Risk and uncertainty assessment in natural hazards L. J. Hill, R. S. J. Sparks and J. C. Rougier
 2. Quantifying natural hazard risk J. C. Rougier
 3. Model limitations: the sources and implications of epistemic uncertainty J. C. Rougier and K. J. Beven
 4. Expert elicitation and judgment W. P. Aspinall and R. M. Cooke
 5. Risk and uncertainty in hydrometeorological hazards T. L. Edwards and P. G. Challenor
 6. Hydrometeorological hazards under future climate change T. L. Edwards and P. G. Challenor
 7. Hydrological flood uncertainty and risk research J. Freer, K. J. Beven, J. Neal, G. Schumann, J. Hall and P. Bates
 8. Uncertainties in probabilistic seismic hazard assessment W. P. Aspinall
 9. Landslide and avalanche hazards T. K. Hincks, W. P. Aspinall, R. S. J. Sparks, E. A. Holcombe and M. Kern
 10. Tsunami hazard and risk T. K. Hincks, R. S. J. Sparks and W. P. Aspinall
 11. Risk and uncertainty assessment of volcanic hazards R. S. J. Sparks, W. P. Aspinall, H. S. Crosweller and T. K. Hincks
 12. Risk assessment and management of wildfires T. K. Hincks, B. D. Malamud, R. S. J. Sparks, M. J. Wooster and T. J. Lynham
 13. Technological facilities, infrastructure and hazardous materials, including some notes on space weather R. S. J. Sparks, W. P. Aspinall, N. A. Chapman, B. E. Hill, D. J. Kerridge, J. Pooley and C. A. Taylor
 14. Statistical aspects of risk characterization in ecotoxicology G. L. Hickey and A. Hart
 15. Social science perspectives on natural hazards risk and uncertainty S. Cornell and M. Jackson
 16. Human responses to natural hazard risk: considerations for improving the effectiveness of risk management systems H. S. Crosweller and J. Wilmshurst Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
Earth Sciences Library (Branner)
Earth Sciences Library (Branner)  Status 

Stacks  
GB5014 .R57 2013  Unknown 
 環境リスク学 : 不安の海の羅針盤
 Nakanishi, Junko, 1938
 中西準子, 1938
 Dai 1han. 第1版.  Tōkyō : Nihon Hyōronsha, 2004. 東京 : 日本評論社, 2004.
 Description
 Book — viii, 251 p. : ill. ; 19 cm.
 Online
East Asia Library
East Asia Library  Status 

Find it Japanese Collection  
GE145 .N35 2004  Unknown 
 Pinna, Sergio.
 Milano : F. Angeli, 2002.
 Description
 Book — 172 p. : ill. ; 23 cm.
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request 
GF85 .P56 2002  Available 
 Boca Raton, Fla. : Lewis Publishers, c2002.
 Description
 Book — 175 p. : ill. ; 25 cm.
 Summary

 Introduction to Time to Event Methods, M.C. Newman and M. Crane Time to Event Analysis of Standard Ecotoxicity Data, M. Crane and A. Grosso Applying Time to Event Methods to Assess Pollutant Effects on Populations, M.C. Newman and J.T. McCloskey TimeConcentrationEffect Models in Predicting Chronic Toxicity from Acute Toxicity Data, F.L. Mayer, M.R. Ellersieck, G.F. Krause, K. Sun, G. Lee, and D.R. Buckler Just How Much Better is a Time to Event Analysis? P.M. Dixon Using Time to Event Modelling to Assess the Ecological Risk of Produced Water Discharges, C.C. Karman Time to Event Analysis in the Agricultural Sciences, J.S. Fenlon Time to Event Analysis in Ecology, B.F. Manly Time to Event Methods in Engineering, A. Kimber Can Risk Assessment be Improved with Time to Event Models? M. Crane, P.F. Chapman, T. Sparks, J. Fenlon, and M.C. Newman Conclusions, M. Crane, P.F. Chapman, and M.C. Newman.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request 
GE145 .R583 2002  Available 
9. Environmental risk analysis [2001]
 Lerche, I. (Ian)
 New York : McGrawHill, c2001.
 Description
 Book — xvi, 436 p. : ill. ; 24 cm.
 Summary

 Chapter 1: Introduction to Environmental Problems: Transport, Burial, Monitoring, Spillage, Leakage, and Cleanup.
 Chapter 2: Contracts and Decisions.
 Chapter 3: Transport and Burial Hazards of Radioactive Waste.
 Chapter 4: Utility Theory and WorkingInterest Optimization in a Hazardous Waste Transport and Burial Opportunity.
 Chapter 5: Catastrophic Events, Insurance, and Unilateral Regulatory Changes.
 Chapter 6: Limiting Risk Using Fractional Working Interest.
 Chapter 7: Limiting Risk Within a Consortium and Foreign Government Projects.
 Chapter 8: Corporate Involvement in Multiple Environmental Projects.
 Chapter 9: Apportionment of Cost Overruns to Hazardous Waste Projects.
 Chapter 10: Bayesian Updating of Toxic Leakage Scenarios.
 Chapter 11: Multiple Transport to Hazardous Material: Probabilities of Profitability.
 Chapter 12: Maximizing Profit for a Toxic Waste Site Monitoring System.
 Chapter 13: Option Payments for Future Information.
 Chapter 14: The Worth of Resolving Uncertainty for Environmental Projects.
 Chapter 15: Scientific Uncertainty in Environmental Problems: Models and Data.
 Chapter 16: Human, Water, Chemical, Biological and Radioactive Risks.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request 
GE145 .L47 2001  Available 
10. A practical guide to understanding, managing, and reviewing environmental risk assessment reports [2001]
 Boca Raton [Fla.] : Lewis Publishers, c2001.
 Description
 Book — 655 p. : ill. ; 25 cm.
 Summary

 Introduction Human Health Risk Assessment Ecological Risk Assessment Reviewing a Human Health Risk Assessment Report Reviewing an Ecological Risk Assessment Legal Context for Human Health and Ecological Risk Assessment Scoping the Risk Assessment Risk Assessment Contract Formation Risk Assessment Report Work Plans A Practical Guide to Managing and Producing A Risk Assessment Report: Risk Assessment AZ MEDIASPECIFIC OF RISK ASSESSMENT Groundwater and Risk Assessment Air Toxics CHEMICALSPECIFIC RISK ASSESSMENT Pesticide Risk Assessment Radiation Risk Assessment SPECIAL CIRCUMSTANCES FOR RISK ASSESSMENT Remediation Risk Assessment Facility Risk Assessment CERCLA and RCRA Risk Assessment International Health Risk Assessment  Approaches for Pesticides PRODUCT PRIMERS Environmental Chemistry Environmental Sampling Design Sampling for Ecological Risk Assessments Toxicity Testing in Risk Assessment Epidemiology and Health Risk Assessment Surface Water Modeling Ground Water Modeling in Health Risk Assessment Air Toxics Modeling Uncertainty Analysis Analytical Quality Assurance/Quality Control for Environmental Samples Used in Risk Assessment Scientific Library Risk Research for Risk Assessment Historical Toxicology and Risk Assessment PROCESS PRIMERS Cost Benefit Analysis Site Safety Team Work Clear Communication in Risk Assessment Writing Risk Communication.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request 
GE145 .P73 2001  Available 
 Goklany, Indur M.
 Washington, D.C. : Cato Institute, c2001.
 Description
 Book — 119 p. : ill. ; 24 cm.
 Summary

The precautionary principle  the environmental version of the admonition "first, do no harm"  is now enshrined in numerous international environmental agreements, including treaties addressing global warming, biological diversity and various pollutants. Some environmentalists have invoked this principle to justify policies to control or ban any technology that cannot be proven to cause no harm. In this innovative book, the author shows that the current use of the precautionary principle to justify such policies is flawed and could be counterproductive because it ignores the possible calamities those very policies might simultaneously create or prolong. The author develops a framework to evaluate policies for three contentious environmental policy issues facing humanity and shows that some of environmentalism's favourite policy prescriptions are in fact likely to do more harm than good.
(source: Nielsen Book Data)
 Online
 Goklany, Indur M.
 Washington, D.C. : CATO Institute ; [S.l. : Distributed to the trade by National Book Network], c2001.
 Description
 Book — 119 p. : ill. ; 24 cm.
 Summary

The precautionary principle  the environmental version of the admonition "first, do no harm"  is now enshrined in numerous international environmental agreements, including treaties addressing global warming, biological diversity and various pollutants. Some environmentalists have invoked this principle to justify policies to control or ban any technology that cannot be proven to cause no harm. In this innovative book, the author shows that the current use of the precautionary principle to justify such policies is flawed and could be counterproductive because it ignores the possible calamities those very policies might simultaneously create or prolong. The author develops a framework to evaluate policies for three contentious environmental policy issues facing humanity and shows that some of environmentalism's favourite policy prescriptions are in fact likely to do more harm than good.
(source: Nielsen Book Data)
 Online
13. Transboundary risk management [2001]
 Sterling, VA : Earthscan Publications, 2001.
 Description
 Book — xiv, 338 p. : ill. ; 24 cm.
 Summary

 Preface * Foreword * Introduction * Swedish Aid and the Ignalina Nuclear Power Plant * Genetically Modified Crops: What Transboundary Harmonization in Europe? * Transboundary Air Pollution: Lessons for Useful Analysis * Cultures of Uncertainty  Transboundary Risks and BSE in Europe A Transboundary Environmental Controversy on the Danube: The GabcikovoNagymaros Dam System * Transboundary Risk Management in the South: A Nepelese Perspective on Himalayan Water Projects * Border Crossings * Public Participation Across Borders * International Negotiation and the Management of Transboundary Risks * Transboundary Environmental Risk Management in the New Millennium: Lessons for Theory and Practice * Address by Birgitta Dahl, Speaker of the Swedish Parliament * Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request 
GE160 .E85 T73 2001  Available 
 CrawfordBrown, Douglas J.
 Boston : Kluwer Academic, c1999.
 Description
 Book — xii, 224 p. : ill. ; 25 cm.
 Summary

 Preface.
 1. Risk, Rationality and Decisions.
 2. The Structure of Environmental Risk Assessments.
 3. Assessing Exposure.
 4. ExposureResponse Assessment.
 5. Regulatory Science: Risk and Decisions.
 6. Uncertainty and Variability Analysis.
 7. Risk, Systems Analysis and Optimization. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
 Washington, DC : Resources for the Future, c1996.
 Description
 Book — xii, 157 p. ; 24 cm.
 Summary

 Foreword Paul R. Portney Preface J. Clarence Davies
 1. Comparative Risk Analysis in the 1990s: The State of the Art J. Clarence Davies
 2. Ranking Risks: Some Key Choices J. Clarence Davies
 3. CRA and the States: History, Politics, and Results Richard A. Minard, Jr.
 4. CRA and Its Stakeholders: Advice to the Executive Office Frederick R. Anderson
 5. Refining the CRA Framework John D. Graham and James K. Hammitt
 6. A Proposal for Ranking Risk within Federal Agencies M. Granger Morgan, Baruch Fischoff, Lester Lave, and Paul Fischbeck Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
16. Environmental risks and hazards [1994]
 Englewood Cliffs, N.J. : Prentice Hall, c1994.
 Description
 Book — 413 p.
 Summary

 Isn't Any Place Safe Anymore?, Susan L. Cutter. I. BEGINNINGS.
 1. Natural Hazards Research, Gilbert F. White.
 2. Disaster Studies: An Analysis of the Social Historical Factors Affecting the Development of Research in the Area, E. L. Quarantelli.
 3. Risk Analysis and Risk Management: An Historical Perspective, Vincent T. Corvello and Jeryl Mumpower.
 4. Social Benefit versus Technological Risk, Chauncey Starr.
 5. Paths to Risk Analysis, Gilbert F. White. II. THEORETICAL INNOVATIONS.
 6. Natural Hazard in Human Ecological Perspective: Hypotheses and Models, Robert W. Kates.
 7. Taking the Naturalness Out of Natural Disasters, Phil O'Keefe, Ken Westgate, and Ben Wisner.
 8. A Contextual Model of Natural Hazard, James K. Mitchell, Neal Devine, and Kathleen Jagger.
 9. The Social Amplification of Risk: A Conceptual Framework, Roger E. Kasperson, Ortwin Renn, Paul Slovic, Halina S. Brown, Jacque Emel, Robert Goble, Jeanne X. Kasperson, and Samuel Ratick.
 10. Bringing Social Theory to Hazards Research, William C. Bogard.
 11. Engendered Fears: Femininity and Technological Risk Perception, Susan L. Cutter, John Tiefenbacher, and William D. Solecki. III. RESPONDING TO THREATS.
 12. Perception of Risk, Paul Slovic.
 13. Theories of Risk Perception: Who Fears What and Why?, Aaron Wildavsky and Karl Dake.
 14. Human Adjustment to the Risk of Environmental Extremes, Dennis S. Mileti.
 15. Public Response to Earthquake Hazard Information, Risa I. Palm.
 16. Evacuation DecisionMaking in Natural Disasters, Ronald W. Perry.
 17. Evacuation Behavior in Response to Nuclear Power Plant Accidents, Donald J. Zeigler and James H. Johnson, Jr. IV. IMPROVING MANAGEMENT.
 18. Risk Assessment and Comparisons: An Introduction, Richard Wilson and E. A. C. Crouch.
 19. Perceived Risk, Real Risk: Social Science and the Art of Probabilistic Risk Assessment, William R. Freudenburg.
 20. Science and Its Limits: The Regulator's Dilemma, Alvin M. Weinberg.
 21. Risk Assessment and Regulatory Priorities, Lester B. Lave.
 22. Success, Strain, and Surprise, Robert W. Kates. V. EMERGING AND RECURRING ISSUES.
 23. The Chronic Technical Disaster: Toward a Social Scientific Perspective, Stephen R. Couch and J. Stephen KrollSmith.
 24. Health Effects of Environmental Chemicals, Michael R. Greenberg.
 25. Emergency Planning for Chemical Agent Releases, George O. Rogers, John H. Sorenson, John F. Long, Jr., and Denzel Fisher.
 26. Vulnerability to Global Environmental Change, Diana M. Liverman.
 27. Chasing a Specter: Risk Management for Global Environmental Change, Timothy O'Riordan and Steve Rayner.
 28. The Social Space of Terror: Towards a Civil Interpretation of Total War, Kenneth Hewitt. VI. EPILOGUE.
 29. The Dignity of Risk, Julian Wolpert. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request 
GE145 .E58 1994  Available 
 Ofungwu, Joseph, author.
 Hoboken, New Jersey : John Wiley & Sons, [2014]
 Description
 Book — xix, 624 pages : illustrations ; 27 cm.
 Summary

Statistical Applications for Environmental Analysis and Risk Assessment guides readers through realworld situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary. Featuring numerous worked examples using actual data and readymade software scripts, Statistical Applications for Environmental Analysis and Risk Assessment also includes: Descriptions of basic statistical concepts and principles in an informal style that does not presume prior familiarity with the subject Detailed illustrations of statistical applications in the environmental and related water resources fields using realworld data in the contexts that would typically be encountered by practitioners Software scripts using the highpowered statistical software system, R, and supplemented by USEPA s ProUCL and USDOE s VSP software packages, which are all freely available Coverage of frequent data sample issues such as nondetects, outliers, skewness, sustained and cyclical trend that habitually plague environmental data samples Clear demonstrations of the crucial, but often overlooked, role of statistics in environmental sampling design and subsequent exposure risk assessment.
(source: Nielsen Book Data)
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
GE145 .O38 2014  Unknown 
 CrawfordBrown, Douglas J.
 Boston : Kluwer Academic Publishers, 2001.
 Description
 Book — xi, 205 p. : ill. ; 25 cm.
 Summary

 Preface.
 1: Risk, Rationality and Decisions. 1.1. The Concept of Fields and States. 1.2. Scalar, Vector and Tensor Fields. 1.3. The Gradient, Divergence and Curl of a Field. 1.4. Translation, Rotation and Superposition of Fields.
 2: Probability and Statistics. 2.1. Decisions Under Variability and Uncertainty. 2.2. Probability, Frequency, Confidence and Likelihood. 2.3. LongTerm Frequentist and Bayesian Conceptions. 2.4. Histograms and Probability Density Functions. 2.5. Special Probability Density Functions. 2.6. Correlation. 2.7. Parameter Estimation and Measures of Model Quality. 2.8. Error Propagation through Models.
 3: Systems of Differential Equations. 3.1. A Systems View of the Environment. 3.2. Mass/Energy Balance and Conservation Laws. 3.3. Linear Differential Equations. 3.4. Systems of Differential Equations. 3.5. Applications of Bernoulli's Method.
 4: Laplace Transforms and Coupled Differential Equations. 4.1. Coupled Systems and Feedback. 4.2. Transforms. 4.3. The Laplace Transform. 4.4. The Inverse Laplace Transform. 4.5. Applications of Laplace Transforms. 4.6. Some Additional Laplace Transforms.
 5: Matrix Methods and Spectral Analysis. 5.1. Spectra in Environmental Problems. 5.2. Backelimination. 5.3. Matrices. 5.4. Augmented Matrices and GaussJordan Elimination. 5.5. Determinants CoFactors, Minors en Inverses. 5.6. Applications.
 6: Numerical Methods and ExposureResponse. 6.1. ExposureResponse Relationships. 6.2. Numerical Integration. 6.3. Numerical Solutions to Differential Equations: Euler's Method. 6.4. Numerical Solutions to Differential Equations: RungeKutta Methods. 6.5. The STELLA Modeling Software.
 7: Monte Carlo Methods. 7.1. Decisions Under Variability and Uncertainty. 7.2. Analytic Methods. 7.3. Monte Carlo Methods. 7.4. Incorporating Model Uncertainty. 7.5. Variability Between Geographic Regions and Subpopulations. 7.6. Nested Variability and Uncertainty Analysis. Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request 
GE145 .C72 2001  Available 
19. Environmental geophysics : a practical guide [1995]
 Vogelsang, Dieter.
 Berlin ; New York : SpringerVerlag, c1995.
 Description
 Book — viii, 173 p. : ill. ; 25 cm.
 Summary

Applied geophysics were developed to explore the raw materials needed by civilization. Today it is used to investigate the extent and nature of buried contaminated waste and leachates. The book describes in detail, yet in a simple language, possibilities, advantages and shortcomings of geophysical methods. Case histories from the US and all over the world are discussed and richly illustrated, and cost estimates for geophysical surveys and criteria for the choice of methods and the compilation of tenders are provided. The book will enable engineers, scientists and lawyers to appraise the possibilities of geophysics in the assessment of environmental risks.
(source: Nielsen Book Data)
 Online
Earth Sciences Library (Branner)
Earth Sciences Library (Branner)  Status 

Stacks  
GE145 .V64 1995  Unknown 
 London ; Sterling, VA : Earthscan, 2004.
 Description
 Book — xxii, 338 p. : ill., maps ; 24 cm.
 Summary

 Introduction to EIA Followup * Theoretical Perspectives on EIA and Followup * A Practical Framework for EIA Followup * Designing for EIA Followup: Experiences from the Netherlands * Appraising Effects of Mitigation Measures: The Grand Coulee Dam's Impacts on Fisheries * Can Industry Benefit from Participation in EIAfollowup? The Scottish Experience * EIA Followup and Adaptive Management * The Independent Environmental Watchdog: A Canadian Experiment in EIA Followup * Learning by Doing: EIA Followup in Hong Kong * Followup in Current SEA Understanding * On Evaluating the Success of EIA and SEAL * Lessons for EIA Followup *
 Appendix 1: Framework for EIA Followup and Effectiveness and Performance Review (Adapted from Sadler, 1996) * Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
Articles+
Journal articles, ebooks, & other eresources
 Articles+ results include