| Description |
1 online resource (390 pages) |
| Contents |
Intro -- Contents -- Chapter 1: What Is "Actionable" Science for Climate and Environment? -- 1 Introduction -- 2 Definition of Actionable Science -- 3 How to Measure the Actionableness of Climate and Environment Projects? -- 3.1 Relevance Between Research and Action -- 3.2 Feasibility for Implementation -- 3.3 Public Understanding -- 3.4 Impact on Society -- 3.5 Practicality by Operators -- 3.6 Engagement with the Stakeholders and End Users -- 4 The World Is Real Time, Should Science Be Real Time Too? -- 5 Controlling Sunk Costs -- 6 Why Do We Write This Book? |
|
7 What Can the Readers Expect from the Book? -- 8 Summary -- References -- Chapter 2: Data Foundation for Actionable Science -- 1 Introduction -- 2 Data Categories and Availability for Actionable Science -- 2.1 Satellite Data -- 2.2 In Situ Data -- 2.3 Model Simulation Data -- 2.4 Citizen Science Data -- 2.5 Social Media Data -- 3 Data Discovery and Retrieval -- 4 Data Preprocessing and Cleaning -- 5 Data Integration and Management in Environmental Sciences -- 6 Continuous Operation and Maintenance of Data Stream -- 7 Challenges in Data Community to Support Actionable Science -- 8 Conclusion |
|
9 Lessons Learnt -- 10 Open Questions and Brainstorming Solutions for Future -- References -- Chapter 3: Technology Landscape for Making Climate and Environmental Science "Actionable" -- 1 Introduction -- 2 Data Collection and Processing Technologies -- 2.1 Sensors and Internet of Things (IoT) Devices -- 2.2 Remote Sensing Technologies -- 2.3 Big Data Analytics -- 2.4 Data Visualization Tools -- 3 Modeling and Simulation Technologies -- 3.1 Climate and Environmental Modeling Tools -- 3.2 Artificial Intelligence (AI) and Machine Learning -- 4 Communication and Collaboration Technologies |
|
4.1 Social Media and Online Communities -- 4.2 Collaboration Tools and Platforms -- 4.3 Video Conferencing and Remote Collaboration Tools -- 5 Emerging Technologies for Making Science Actionable -- 5.1 Blockchain and Distributed Ledger Technology -- 5.2 Quantum Computing -- 5.3 5G and Other Advanced Network Technologies -- 5.4 Nanotechnology and Advanced Materials -- 5.5 Edge Computing -- 6 Case Studies of Technology Applications in Making Science Actionable -- 6.1 Flood Monitoring and Early Warning Systems -- 6.2 Forest Fire Detection and Monitoring |
|
6.3 Precision Agriculture and Irrigation Management -- 6.4 Biodiversity Monitoring and Conservation -- 6.5 Carbon Footprint Tracking and Emission Reduction -- 7 Challenges and Future Directions -- 7.1 Ethical Considerations in Technology Applications -- 7.2 Interdisciplinary Collaboration Challenges -- 7.3 Future Technological Developments and Their Potential Impact -- 8 Conclusion -- References -- Chapter 4: Actionable Science for Greenhouse Gas Emission Reduction -- 1 Introduction -- 2 Current Practice in the Industry, Government, and Local Community |
| Summary |
This volume teaches readers how to sort through the vast mountain of climate and environmental science data to extract actionable insights. With the advancements in sensing technology, we now observe petabytes of data related to climate and the environment. While the volume of data is impressive, collecting big data for the sake of data alone proves to be of limited utility. Instead, our quest is for actionable data that can drive tangible actions and meaningful impact. Yet, unearthing actionable insights from the accumulated big data and delivering them to global stakeholders remains a burgeoning field. Although traditional data mining struggles to keep pace with data accumulation, scientific evolution has spurred the emergence of new technologies like numeric modeling and machine learning. These cutting-edge tools are now tackling grand challenges in climate and the environment, from forecasting extreme climate events and enhancing environmental productivity to monitoring greenhouse gas emissions, fostering smart environmental solutions, and understanding aerosols. Additionally, they model environmental-human interactions, inform policy, and steer markets towards a healthier and more environment-friendly direction. While there's no universal solution to address all these formidable tasks, this book takes us on a guided journey through three sections, enriched with chapters from domain scientists. Part I defines actionable science and explores what truly renders data actionable. Part II showcases compelling case studies and practical use scenarios, illustrating these principles in action. Finally, Part III provides an insightful glimpse into the future of actionable science, focusing on the pressing climate and environmental issues we must confront. Embark on this illuminating voyage with us, where big data meets practical research, and discover how our collective efforts move us closer to a sustainable and thriving future. This book is an invitation to unlock the mysteries of our environment, transforming data into decisive action for generations to come |
| Notes |
2.1 Emission Reduction in Various Industries |
|
Includes index |
|
Online resource; title from PDF title page (SpringerLink, viewed November 16, 2023) |
| Subject |
Environmental sciences -- Data processing
|
|
Climatic changes -- Data processing
|
|
Climatic changes -- Data processing.
|
|
Environmental sciences -- Data processing.
|
| Form |
Electronic book
|
| Author |
Sun, Ziheng
|
| ISBN |
9783031417580 |
|
3031417585 |
|
