Advances and New Trends in Environmental Informatics: Digital Twins for Sustainability

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This book is an outcome of the 34th International Conference EnviroInfo 2020, hosted virtually in Nicosia, Cyprus by the Research Centre on Interactive Media, Smart Systems and Emerging Technologies (RISE). It presents a selection of papers that describe innovative scientific approaches and ongoing research in environmental informatics and the emerging field of environmental sustainability, promoted and facilitated by the use of information and communication technologies (ICT). The respective articles cover a broad range of scientific aspects including advances in core environmental informatics-related technologies such as earth observation, environmental modelling, big data and machine learning, robotics, smart agriculture and food solutions, renewable energy-based solutions, optimization of infrastructures, sustainable industrial processes, and citizen science, as well as applications of ICT solutions intended to support societal transformation processes toward the more sustainable management of resource use, transportation and energy supplies. Given its scope, the book is essential reading for scientists, experts and students in these fields of research.

Author(s): Andreas Kamilaris, Volker Wohlgemuth, Kostas Karatzas, Ioannis N. Athanasiadis
Series: Progress in IS
Publisher: Springer
Year: 2021

Language: English
Pages: 270
City: Cham

Preface
Contents
Industrial Environments and Processes
Designing for Sustainability: Lessons Learned from Four Industrial Projects
1 Introduction
2 Background
3 Study Design and Execution
4 Projects and Related Results
4.1 Project P1: Sustainable Tourism in Indonesia
4.2 Project P2: SGD Review Platform
4.3 Project P3: Energy Provisioning via Flexible IoT
4.4 Project P4: Search Automation for Literature Reviews
4.5 Revised Sustainability Quality Model
5 Lessons to Improve the SAF Toolkit
6 Conclusions and Future Work
7 Appendix: Custom Quality Attributes Definitions
References
Web Tool for the Identification of Industrial Symbioses in Industrial Parks
1 Introduction
2 Method
3 Web Tool for the Identification of Industrial Symbioses Within an Industrial Park
3.1 Quantitative Methods for IS Identification
3.2 Prototype
4 Discussion and Concluding Impulses for Future Research
References
Deriving Benchmarks for Construction Products Based on Environmental Product Declarations
1 Introduction
2 Methods
3 Results
3.1 Description and Selection of the Benchmarking Methods
3.2 Application of Selected Benchmarking Methods
3.3 Comparison of Results
4 Discussion and Outlook
References
Sustainability
Circular Economy in the Rostock Region. A GIS and Survey Based Approach Analyzing Material Flows
1 Introduction
1.1 Project Background
1.2 Situation of the Circular Economy in Germany
2 Methodology
2.1 Gathering Spatial and Waste Related Data
2.2 Survey
2.3 Spatial Analyses
3 Results
4 Discussion
5 Conclusion
References
Obsolescence as a Future Key Challenge for Data Centers
1 Introduction
2 Increasing Importance of Data Centers
3 Obsolescence in Information and Communication Technology
4 Obsolescence Management
4.1 Definition of Obsolescence Management
4.2 Obsolescence Management Phases
5 Assessment of the Possibilities of Obsolescence Management in Data Centers
6 Conclusion and Future Work
References
The Eco-label Blue Angel for Software—Development and Components
1 Introduction
2 Background
2.1 Eco-label Blue Angel
2.2 Other Labels
3 Progress of the Investigation
4 Stakeholders Within the Eco-label Progress
4.1 Perspective of Purchasers
4.2 Perspective of Software Companies
4.3 Perspective of the Users of Software
5 Main Components of the Blue Angel for Software
5.1 Resource and Energy Efficiency
5.2 Potential Hardware Lifetime
5.3 Autonomy of Use
6 Conclusion and Outlook
References
Sustainable Processes on the Last Mile—Case Study Within the Project ‘NaCl’
1 Introduction
2 Fundamentals and Innovations
2.1 State of the Art and Challenges
2.2 Innovations
3 Case Study Within the Project NaCl
3.1 Chances of NaCl-Approach
3.2 Conceptional Components
4 NaCl Model
4.1 Crowd Logistics and Work Situation
4.2 Logistical Processes
4.3 SusCRM Approaches and Incentive Systems
4.4 Pilot Phase
5 Conclusion and Future Outlook
References
Environmental Modelling, Monitoring and Information Systems
Algorithmic Treatment of Topological Changes Within a Simulation Runtime System
1 Motivation: Simulation and Geoinformation Systems
2 Topological Changes Specified by Graph-Grammars
2.1 Continuous, Discrete and Combined Model Specification
2.2 The Application to Geo Objects
2.3 Graph Grammars for Dynamics Specification
3 Treatment of Graph Grammar Productions in a Simulation Runtime System
3.1 Basic Algorithm for Simulation of Combined Models
3.2 Integration of Topological Changes into the Basic Algorithm
3.3 Problems Caused by This Approach
4 Conclusion and Discussion
References
Citizens in the Loop for Air Quality Monitoring in Thessaloniki, Greece
1 Introduction
2 Materials and Methods
2.1 Software and Hardware Related Materials
2.2 Methods
3 Results
4 Discussion
5 Conclusions
References
WISdoM: An Information System for Water Management
1 Introduction
2 Digitalisation of Water Utilities
3 Selection of Use Cases
4 Water Management Information System: WISdoM
4.1 Long-Term Water Demand Forecasts
4.2 Groundwater Monitoring Management
4.3 Precipitation Data Management
4.4 Evaluation
5 Conclusion and Future Work
References
Exploring Open Data Portals for Geospatial Data Discovery Purposes
1 Introduction
2 Open Data Monitoring and Discovery
3 Methods
3.1 Software and Metadata Interfaces
3.2 Metadata Fields
3.3 Data Aggregation
3.4 Spatial and Temporal Footprints
4 Results
4.1 Overview of the Evaluated Portals
4.2 National Comparison
4.3 Terms of Use
4.4 Data Formats
4.5 Spatial Footprints
5 Discussion
6 Conclusions
References
Urban Environments and Systems
Developing a Configuration System for a Simulation Game in the Domain of Urban CO2 Emissions Reduction
1 Introduction
2 Background
3 Related Work
4 Developing the Configuration System
5 Discussion
6 Conclusion
References
Estimating Spatiotemporal Distribution of Moving People in Urban Areas Using Population Statistics of Mobile Phone Users
1 Introduction
2 Method of Estimating the Number of People Flowing in/out of Each Grid-Cell Per Unit Time
3 Method of Estimating the Number of People Moving Between Grid-Cells Per Unit Time
4 Temporal Change in Number of People Flowing in/out of Each Grid-Cell
5 Number of People Moving Between Grid-Cells Per Unit Time
6 Summary and Conclusions
References
A Digital Twin of the Social-Ecological System Urban Beekeeping
1 Introduction
2 Sensor-Supported Urban Beekeeping
3 Recording Bee Keeper's Actions and Expert Knowledge
4 The Digital Twin as a Multi-agent System
5 Connecting the Twin to Sensors
5.1 Data Storage and System Architecture
6 Decision Making Example
7 Conclusion and Future Work
References
Utilizing CityGML for AR-Labeling and Occlusion in Urban Spaces
1 Introduction
1.1 Motivation
1.2 State of the Art
2 Materials and Methods
2.1 Requirements
2.2 Hardware and Software
2.3 Label Placement
2.4 Processing the Data
2.5 Occlusion Management
3 Results and Conclusions
4 Future Research
References
Physical Environments
Can Animal Manure Be Used to Increase Soil Organic Carbon Stocks in the Mediterranean as a Mitigation Climate Change Strategy?
1 Introduction
2 Related Work
3 Methodology
3.1 Problem Description
3.2 Data Collection and Pre-processing
3.3 Modelling
3.4 Simulation
4 Results
5 Discussion
5.1 Future Work
6 Conclusion
References
Digital Twins, Augmented Reality and Explorer Maps Rising Attractiveness of Rural Regions for Outdoor Tourism
1 Introduction
1.1 Background
1.2 Objective of the Project
2 Explorer Maps
2.1 Reference Trail Nohener Naheschleife
3 Enrichment with Augmented Reality (AR)
3.1 Digital Twins of Landscape Objects
3.2 Tracking
3.3 App Development Environment
4 Discussion and Outlook
Reference
Identification of Tree Species in Japanese Forests Based on Aerial Photography and Deep Learning
1 Introduction
2 Related Work
3 Methodology
3.1 Problem Description
3.2 Data Collection
3.3 Data Pre-processing
3.4 Deep Learning Modelling
4 Results
5 Discussion
5.1 Study Implications
5.2 Policy-Making
5.3 Limitations and Assumptions
5.4 Future Work
6 Conclusion
References