Translating Diverse Environmental Data Into Reliable Information

Informationen zum Autor Professor Daniel A. Vallero is a renowned environmental scientist and engineer with four decades of experience. He has advised U.S. government agencies on critical issues like PBTs, climate change, acid rain, and chemical risks. At Duke University, he led the Engineering Ethics program and taught courses on air pollution, sustainable design, and ethics. Vallero has served on the National Academy of Engineering's Online Ethics Committee and the National Institute of Engineering Ethics. An expert in emerging technologies, he focuses on societal, ethical, and public health challenges related to nanotechnology and environmental biotechnology. His work also encompasses emergency response and homeland security, making him a leading voice in environmental risk and ethics. Klappentext 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. Inhaltsverzeichnis Part I: Data and the Environment 1. Building a New Environmental Knowledgebase2. The Environmental Knowledge Cascade Part II: Environmental Knowledgebases 3. Stressors4. Pathways5. Air6. Water7. Contaminant Storage Systems Part III: Managing Environmental Knowledge Building 8. Environmental Models9. Environmental Data Analysis10. Data Interpretation and Presentation11. Examples and Case Studies Appendices1. Physicochemical Data Sources2. OECD's Emission Scenario Document Method for Calculating Environmental Releases3. Key terms and notation ...

Klappentext

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.

Inhalt

Part I: Data and the Environment1. Building a New Environmental Knowledgebase2. The Environmental Knowledge Cascade

Part II: Environmental Knowledgebases3. Stressors4. Pathways5. Air6. Water7. Contaminant Storage Systems

Part III: Managing Environmental Knowledge Building8. Environmental Models9. Environmental Data Analysis10. Data Interpretation and Presentation11. Examples and Case Studies

Appendices1. Physicochemical Data Sources2. OECD's Emission Scenario Document Method for Calculating Environmental Releases3. Key terms and notation