Methods for Environmental Trace Analysis

Often too little attention is given to the sampling before and after actual instrumental measurement. This leads to errors, despite increasingly sensitive analytical systems. This is one of the first books to pay proper attention to representative sampling. It offers an overview of the most common techniques used today for taking environmental samples. The techniques are clearly presented, yield accurate and reproducible results and can be used to sample – air – water – soils and sediments – plants and animals. A comprehensive handbook, this volume provides an excellent starting point for researchers in the rapidly expanding field of environmental analysis.

This book covers all aspects of environmental trace analysis from sampling through to preparation of the sample to the analytical techniques used to quantify the level of trace metals or organic compounds. The book is divided into two areas: sample preparation for inorganic analysis and sample preparation for organic analysis. This allows the reader to focus on key aspects related to the preparation of samples for their subsequent analysis. Selected case studies provide the reader with the opportunity to consider how the sample preparation approach can be optimized for their own area of expertise.

A comprehensive set of real-world environmental laboratory experiments This complete summary of laboratory work presents a richly detailed set of classroom-tested experiments along with background information, safety and hazard notes, a list of chemicals and solutions needed, data collection sheets, and blank pages for compiling results and findings. This useful resource also: Focuses on environmental, i.e., «dirty» samples Stresses critical concepts like analysis techniques and documentation Includes water, air, and sediment experiments Includes an interactive software package for pollutant fate and transport modeling exercises Functions as a student portfolio of documentation abilities Offers instructors actual samples of student work for troubleshooting, notes on each procedure, and procedures for solutions preparation.

A COMPREHENSIVE TEXTBOOK AND REFERENCE FOR QUANTITATIVE ENVIRONMENTAL RISK ANALYSIS FOR BOTH CHEMICAL AND RADIOACTIVE CONTAMINANTS Environmental risk analysis is complex and interdisciplinary; this book explains the fundamental concepts and analytical methods in each essential discipline. With an emphasis on concepts and applications of quantitative tools plus coverage of analysis of both chemical and radioactive contaminants, this is a comprehensive resource. After an introduction and an overview of the basics of environmental modeling, the book covers key elements in environmental risk analysis methodology, including: Release assessment and source characterization Migration of contaminants in various media, including surface water, groundwater, the atmosphere, and the food chain Exposure assessment Basic human toxicology and dose-response Risk characterization, including dose-response modeling and analysis Risk management process and methods Risk communication and public participation This reference also relates risk analysis to current environmental laws and regulations. An ideal textbook for graduate students and upper-level undergraduates in various engineering and quantitative science disciplines, especially civil and environmental engineering, it is also a great reference for practitioners in industry, environmental consulting firms, and regulatory agencies.

Praise for the Third Edition “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” —Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences. Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: Marginal and random effect models for analyzing correlated censored or uncensored data Multiple types of two-sample and K-sample comparison analysis Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.

A timely, hands-on guide to environmental issues and regulatory standards for the petroleum industry Environmental analysis and testing methods are an integral part of any current and future refining activities. Today's petroleum refining industry must be prepared to meet a growing number of challenges, both environmental and regulatory. Environmental Analysis and Technology for the Refining Industry focuses on the analytical issues inherent in any environmental monitoring or cleanup program as they apply to today's petroleum industry, not only during the refining process, but also during recovery operations, transport, storage, and utilization. Designed to help today's industry professionals identify test methods for monitoring and cleanup of petroleum-based pollutants, the book provides examples of the application of environmental regulations to petroleum refining and petroleum products, as well as current and proposed methods for the mitigation of environmental effects and waste management. Part I introduces petroleum technology, refining, and products, and reviews the nomenclature used by refiners, environmental scientists, and engineers. Part II discusses environmental technology and analysis, and provides information on environmental regulation and the impact of refining. Coverage includes: * In-depth descriptions of analyses related to gaseous emissions, liquid effluents, and solid waste * A checklist of relevant environmental regulations * Numerous real-world examples of the application of environmental regulations to petroleum refining and petroleum products * An analysis of current and proposed methods of environmental protection and waste management

Enables readers to apply core principles of environmental engineering to analyze environmental systems Environmental Process Analysis takes a unique approach, applying mathematical and numerical process modeling within the context of both natural and engineered environmental systems. Readers master core principles of natural and engineering science such as chemical equilibria, reaction kinetics, ideal and non-ideal reactor theory, and mass accounting by performing practical real-world analyses. As they progress through the text, readers will have the opportunity to analyze a broad range of environmental processes and systems, including water and wastewater treatment, surface mining, agriculture, landfills, subsurface saturated and unsaturated porous media, aqueous and marine sediments, surface waters, and atmospheric moisture. The text begins with an examination of water, core definitions, and a review of important chemical principles. It then progressively builds upon this base with applications of Henry's law, acid/base equilibria, and reactions in ideal reactors. Finally, the text addresses reactions in non-ideal reactors and advanced applications of acid/base equilibria, complexation and solubility/dissolution equilibria, and oxidation/reduction equilibria. Several tools are provided to fully engage readers in mastering new concepts and then applying them in practice, including: Detailed examples that demonstrate the application of concepts and principles Problems at the end of each chapter challenging readers to apply their newfound knowledge to analyze environmental processes and systems MathCAD worksheets that provide a powerful platform for constructing process models Environmental Process Analysis serves as a bridge between introductory environmental engineering textbooks and hands-on environmental engineering practice. By learning how to mathematically and numerically model environmental processes and systems, readers will also come to better understand the underlying connections among the various models, concepts, and systems.

Analytical Methods for Environmental Contaminants of Emerging Concern Provides the analytical methodology required to detect different families of organic compounds of emerging concern (CECs) from environmental samples Most contaminants of emerging concern (CECs) —such as pharmaceuticals, personal care products, pesticides, sunscreens, perfluorinated compounds, and microplastics—have been present in the environment for years, yet some have only recently been identified, and many of these organic compounds remain unregulated. Analytical methods have been developed to determine the toxicity and risk of different families of CECs. Analytical Methods for Environmental Contaminants of Emerging Concern presents the methods currently available to determine families of organic CECs in environmental samples. Each section of the book is devoted to a particular family of CECs, covering different analytical methods supported by examples of both cutting-edge research and commonly used methods. An international panel of experts describes every step of the analytical procedures, including sample preparation, chromatographic separation coupled to mass spectrometry or other instrumental techniques. Specific requirements are linked to the properties of the contaminants and the sample matrix for each procedure presented. Throughout the book, in-depth case studies of analytical procedures for CEC extraction, separation, and determination are presented to help readers transfer the analytical methods to their laboratories. Provides detailed descriptions of various approaches for determining each group of CECs in environmental samples Covers different types of aqueous, solid, and atmospheric samples Includes up-to-date information on CEC properties, relevant legislation, reported or potential metabolites/transformation products, and environmental occurrence Addresses CECs such as novel psychoactive substances, artificial sweeteners, musk fragrances, disinfection byproducts, and microplastics Offers practical tips and advice on special care procedures to assist readers in CEC determination Analytical Methods for Environmental Contaminants of Emerging Concern is an essential reference and guide for advanced students and researchers in analytical chemistry and science, environmental science, forensic science, and specialized subjects related to analytical chemistry.

Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world 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 “ready-made” 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 real-world data in the contexts that would typically be encountered by practitioners • Software scripts using the high-powered 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 non-detects, 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.

Incorporates mixed-effects modeling techniques for more powerful and efficient methods This book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonparametric regression models. The authors emphasize modeling ideas and inference methodologies, although some theoretical results for the justification of the proposed methods are presented. With its logical structure and organization, beginning with basic principles, the text develops the foundation needed to master advanced principles and applications. Following a brief overview, data examples from biomedical research studies are presented and point to the need for nonparametric regression analysis approaches. Next, the authors review mixed-effects models and nonparametric regression models, which are the two key building blocks of the proposed modeling techniques. The core section of the book consists of four chapters dedicated to the major nonparametric regression methods: local polynomial, regression spline, smoothing spline, and penalized spline. The next two chapters extend these modeling techniques to semiparametric and time varying coefficient models for longitudinal data analysis. The final chapter examines discrete longitudinal data modeling and analysis. Each chapter concludes with a summary that highlights key points and also provides bibliographic notes that point to additional sources for further study. Examples of data analysis from biomedical research are used to illustrate the methodologies contained throughout the book. Technical proofs are presented in separate appendices. With its focus on solving problems, this is an excellent textbook for upper-level undergraduate and graduate courses in longitudinal data analysis. It is also recommended as a reference for biostatisticians and other theoretical and applied research statisticians with an interest in longitudinal data analysis. Not only do readers gain an understanding of the principles of various nonparametric regression methods, but they also gain a practical understanding of how to use the methods to tackle real-world problems.