Translating Diverse Environmental Data Into Reliable Information: How To Coordinate Evidence From Different Sources by Daniel ValleroTranslating Diverse Environmental Data Into Reliable Information: How To Coordinate Evidence From Different Sources by Daniel Vallero

Translating Diverse Environmental Data Into Reliable Information: How To Coordinate Evidence From…

byDaniel Vallero

Paperback | October 1, 2017

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Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sourceshelps environmental scientists determine data needs, assess their quality, and efficiently manage their findings. Topics include 1) Issues specific to fully understanding interdisciplinary data, 2) Which fields are pulling in the most citizen scientists to facilitate data collection, and 3) How that impacts results. This book helps professionals and students utilize open data in environmental science.



  • Provides tools to manage data of varying sizes and quality
  • Reexamines the way knowledge is built about environmental issues to meet the needs of modern students and professionals
  • Applies to data collected by academic, governmental and citizen scientists across environmental systems
  • Improves readers ability to organize and visualize their work in the age of big data
Dr. Daniel A. Vallero is an internationally recognized expert in environmental science and engineering. His four decades of research, teaching and professional experience in hazardous waste engineering and management have addressed a wide range of human health risk and ecological issues, from global climate change to the release of haz...
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Title:Translating Diverse Environmental Data Into Reliable Information: How To Coordinate Evidence From…Format:PaperbackDimensions:516 pages, 8.75 × 6.35 × 0.68 inPublished:October 1, 2017Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128124466

ISBN - 13:9780128124468

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Table of Contents

Foreword

Part I: Data and the Environment

Chapter 1: Building a New Environmental Knowledgebase Chapter 2: The Environmental Knowledge Cascade

Part II: Environmental Knowledgebases

Chapter 3: Stressors Chapter 4: Pathways Chapter 5: Air Chapter 6: Water Chapter 7: Contaminant Storage Systems

Part III: Managing Environmental Knowledge Building

Chapter 8: Environmental Models Chapter 9: Environmental Data Analysis Chapter 10: Data Interpretation and Presentation Chapter 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