It also describes the effects of bulking on errors and the use of ancillary information and regression to improve estimates.

Originally published in 1994, the first edition of Field Sampling Methods for Remedial Investigations soon became a premier resource in the field. ThePrinceton Groundwater course designated it as one of the top books on the market that address strategies for groundwater well installation, well completion, and groundwater sampling. This long-awai

Written by a renowned professional with more than 30 years of experience in environmental sampling and analysis, this reference describes in unparalleled detail all the essential elements for the development and execution of a successful sampling plan at both contaminated and uncontaminated sites. The book covers presampling planning and decision-making, specific sampling situations, and correct sample labeling, and presents the framework and background for the sampling of any contaminated site. Presenting a wide variety of models, quality control procedures, and valuable troubleshooting methods, Field Sampling contains an abundance of topics never before covered in any other source.

Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.

Written by renowned experts in the field, Sampling Strategies for Natural Resources and the Environment covers the sampling techniques used in ecology, forestry, environmental science, and natural resources. The book presents methods to estimate aggregate characteristics on a per unit area basis as well as on an elemental basis. In addition to common sampling designs such as simple random sampling and list sampling, the authors explore more specialized designs for sampling vegetation, including randomized branch sampling and 3P sampling. One of the book's unique features is the emphasis on areal sampling designs, including plot/quadrat sampling, Bitterlich sampling, line intersect sampling, and several lesser known designs. The book also provides comprehensive solutions to the problem of edge effect. Another distinguishing aspect is the inclusion of sampling designs for continuums, focusing on the methods of Monte Carlo integration. By presenting a conceptual understanding of each sampling design and estimation procedure as well as mathematical derivations and proofs in the chapter appendices, this text promotes a deep understanding of the underpinnings of sampling theory, estimation, and inference. Moreover, it will help you reliably sample natural populations and continuums.

"This long awaited third edition provides most current and most cost-effective environmental media characterization methods and approaches supporting all aspects of remediation activities"--

Provides--in an organized and compact source--a comprehensive guide to the principles of sampling design and statistical analysis methods. Reviews the principles of inference, sampling and statistical design, and hypothesis formulation, all with special reference to ecological data. Includes an impact study illustrating the principles presented. Contains a key to five broad categories of environmental studies--as well as examples and examines specific topics that apply to any environmental study. Provides a comprehensive bibliography which is cross-referenced to the text and keyed to a specific topic code (types of methods and environments studied).