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OverviewTranslating 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. Full Product DetailsAuthor: Daniel A. Vallero (Full Adjunct Professor of Civil and Environmental Engineering, Duke University’s Pratt School of Engineering, NC, USA) , Daniel A. Vallero (Pratt School of Engineering, Duke University, Durham, NC, USA) , Daniel A. Vallero (Pratt School of Engineering, Duke University, Durham, NC, USA) , Daniel A. Vallero (Pratt School of Engineering, Duke University, Durham, NC, USA)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Weight: 0.950kg ISBN: 9780128124468ISBN 10: 0128124466 Pages: 500 Publication Date: 20 September 2017 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsPart 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 notationReviewsAuthor InformationProfessor 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. He is a full adjunct professor of civil and environmental engineering at Duke University’s Pratt School of Engineering. He has authored 20 environmental textbooks, with the most recent addressing the importance of physical principles in environmental science and engineering. His books have addressed all environmental compartments and media within the earth’s atmosphere, hydrosphere, lithosphere, and biosphere. Tab Content 6Author Website:Countries AvailableAll regions |