Translating Diverse Environmental Data into Reliable Information

Translating Diverse Environmental Data into Reliable Information

How to Coordinate Evidence from Different Sources

1st Edition - September 15, 2017

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  • Author: Daniel Vallero
  • Paperback ISBN: 9780128124468
  • eBook ISBN: 9780128124475

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Description

Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for building environmental knowledge, particularly in the era of Big Data. Environmental scientists, engineers, educators and students will find it essential to determine data needs, assess their quality, and efficiently manage their findings. Decision makers can explore new open access databases and tools, especially portals and dashboards. The book demonstrates how environmental knowledgebases are and can be built to meet the needs of modern students and professionals. Topics covered include concepts and principles that underpin air, water, and other public health and ecological topics. Integrated and systems perspectives are woven throughout, with clues on how to build and apply interdisciplinary data, which can increasingly be obtained from sources ranging from peer-reviewed research appearing in scientific journals to information gathered by citizen scientists. This opens the door to using vast amounts of open data and the necessary quality assurance and metadata considerations for their countless applications.

Key Features

  • Provides tools to manage data of varying sizes and quality
  • Identifies both opportunities and cautions in using “other people’s data”
  • Updates physical, chemical and biological factors that must be considered in risk evaluations and life cycle assessments
  • Applies to data collected by academic, governmental, businesses, and citizen scientists across environmental systems
  • Improves readers’ ability to organize and visualize their work in the age of Big Data

Readership

Graduate students, researchers and professionals in environmental science, environmental engineering or related fields like pollution, ecotoxicology, environmental chemistry

Table of Contents

  • Part I: Data and the Environment
    1. Building a New Environmental Knowledgebase
    2. The Environmental Knowledge Cascade

    Part II: Environmental Knowledgebases
    3. Stressors
    4. Pathways
    5. Air
    6. Water
    7. Contaminant Storage Systems

    Part III: Managing Environmental Knowledge Building
    8. Environmental Models
    9. Environmental Data Analysis
    10. Data Interpretation and Presentation
    11. Examples and Case Studies

    Appendices
    1. Physicochemical Data Sources
    2. OECD’s Emission Scenario Document Method for Calculating Environmental Releases
    3. Key terms and notation

Product details

  • No. of pages: 500
  • Language: English
  • Copyright: © Academic Press 2017
  • Published: September 15, 2017
  • Imprint: Academic Press
  • Paperback ISBN: 9780128124468
  • eBook ISBN: 9780128124475

About the Author

Daniel Vallero

Daniel Vallero
Dr. Daniel A. Vallero is an internationally recognized author and expert in environmental science and engineering. He has devoted decades to conducting research, teaching, and mentoring future scientists and engineers. He is currently developing tools and models to predict potential exposures to chemicals in consumer products.

Affiliations and Expertise

Pratt School of Engineering, Duke University, Durham, NC, USA

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