Sampling and Analysis of Environmental Chemical Pollutants: A Complete Guide
Autor E. P. Popeken Limba Engleză Paperback – 4 dec 2017
This Guide is a resource that will help students and practicing professionals alike better understand the issues of environmental data collection, capitalize on years of existing sampling and analysis practices, and become more knowledgeable and efficient in the task at hand.
- The three phases of environmental chemical data collection (planning, implementation, and assessment) are explained in a logical and concise manner.
- A discussion on the physical and chemical properties of environmental chemical pollutants promotes the understanding of their fate and transport.
- A chapter on common analytical chemistry techniques, methods of compound quantitation, and laboratory quality control and quality assurance may be used as a standalone introduction to instrumental analytical chemistry.
- Eleven case studies demonstrate the application of the Data Quality Objectives process to the development of sampling designs and illustrate specific data interpretation problems.
- Numerous call-out boxes in each chapter offer practical tips on widely used industry practices, which originate from years of experience in the field.
- Appendices contain the most frequently used action levels and reference material, calculation aides, and useful field forms and checklists.
- Authored by an analytical chemist and environmental pollutant expert with more than 30 years of experience in research and industry.
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Specificații
ISBN-13: 9780128032022
ISBN-10: 0128032022
Pagini: 436
Dimensiuni: 191 x 235 mm
Greutate: 0.93 kg
Ediția:2
Editura: ELSEVIER SCIENCE
ISBN-10: 0128032022
Pagini: 436
Dimensiuni: 191 x 235 mm
Greutate: 0.93 kg
Ediția:2
Editura: ELSEVIER SCIENCE
Public țintă
Analytical chemists, environmental scientists conducting research on pollutantsCuprins
1. The Sample and the Error2. Environmental Chemical Pollutants3. Bird’s Eye View of Project Planning4. Practical Approach to Sampling5. Understanding the Analytical Laboratory6. Data Quality Assessment