A Methodology and Implementation of Automated Emissions Harmonization for Use in Integrated Assessment Models

Emissions harmonization refers to the process used to match greenhouse gas (GHG) and air pollutant results from Integrated Assessment Models (IAMs) against a common source of historical emissions. To date, harmonization has been performed separately by individual modeling teams. For the hand-over of emission data for the Shared Socioeconomic Pathways (SSPs) to climate model groups, a new automated approach based on commonly agreed upon algorithms was developed. This work describes the novel methodology for determining such harmonization methods and an open-source Python software library implementing the methodology. A case study is presented for two example scenarios (with and without climate policy cases) using the IAM MESSAGE-GLOBIOM that satisfactorily harmonize over 96% of the total emissions trajectories while having a negligible effect on key long-term climate indicators. This new capability enhances the comparability across different models, increases transparency and robustness of results, and allows other teams to easily participate in intercomparison exercises by using the same, openly available harmonization mechanis

Challenges in using land use and land cover data for global change studies

Land use and land cover data play a central role in climate change assessments. These data originate from different sources and inventory techniques. Each source of land use/cover data has its own domain of applicability and quality standards. Often data are selected without explicitly considering the suitability of the data for the specific application, the bias originating from data inventory and aggregation, and the effects of the uncertainty in the data on the results of the assessment. Uncertainties due to data selection and handling can be in the same order of magnitude as uncertainties related to the representation of the processes under investigation. While acknowledging the differences in data sources and the causes of inconsistencies, several methods have been developed to optimally extract information from the data and document the uncertainties. These methods include data integration, improved validation techniques and harmonization of classification systems. Based on the data needs of global change studies and the data availability, recommendations are formulated aimed at optimal use of current data and focused efforts for additional data collection. These include: improved documentation using classification systems for land use/cover data; careful selection of data given the specific application and the use of appropriate scaling and aggregation methods. In addition, the data availability may be improved by the combination of different data sources to optimize information content while collection of additional data must focus on validation of available data sets and improved coverage of regions and land cover types with a high level of uncertainty. Specific attention in data collection should be given to the representation of land management (systems) and mosaic landscape

Life Cycle Assessment of Sustainable Road Networks: Current State and Future Directions

The construction sector is one of the leading global contributors to environmental footprint, with road infrastructures being a significant resource consumer. The traditional practice of using virgin raw materials and extracting natural aggregates has a significant impact, causing landscape alterations and disruptions to ecosystems. As result, the focus on achieving sustainable mobility through road networks is increasing. Companies operating in the civil sector must consider the environmental performance of roads to inform their decision making. Various assessment tools are available, with life cycle assessment being a commonly employed methodology in the industrial sector. However, its application to infrastructure projects has inherent challenges, primarily due to the complexity associated with inventory management. This complexity has resulted in a limited adoption of LCA within this sector. This research explores the suitability and compatibility of existing tools, methodologies, and databases, while establishing future requirements to adapt LCA and other types of environmental analysis to the life cycle of roads. To achieve this objective, a comprehensive analysis of the scientific and technical literature is conducted in this study. The findings highlight the need for more versatile impact analysis tools, including specialized databases tailored to the specifics of road infrastructure. Such enhancements would facilitate the application of procedures outlined in ISO 14040 and ISO 14044 standards

Active Traffic Management as a Tool for Addressing Traffic Congestion

Recurrent and non-recurrent congestion in urban areas continues to be a major concern due to its adverse impacts on delays, fuel consumption and pollution, driver frustration, and traffic safety. In the U.S., limited public funding for roadway expansion and improvement projects, coupled with continued growth in travel along congested urban freeway corridors, creates a pressing need for innovative congestion management approaches