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Creating and delivering products and services that promote sustainability is increasingly important in today’s economy. Novel services based on digital technologies and infrastructure can significantly contribute to sustainable development, as demonstrated by digitally enabled car-sharing services where increased asset utilization reduces production-related greenhouse gas emissions. However, there is still limited knowledge on how digital service innovation can purposefully be applied to promote sustainability. To address this gap, we conduct a systematic literature review and perform a qualitative inductive analysis of 50 articles on the impact of digital service innovation on social, environmental, and economic sustainability. We provide a comprehensive overview of real-world applications and identify five underlying mechanisms through which innovation with digital services can drive sustainable development. In doing so, we aim to pave the way to purposefully conceive, design, and implement digital services for sustainability.

Le carbone noir est une petite particule d'aérosol (ou aérienne) de courte durée de vie liée au réchauffement climatique et aux effets nocifs sur la santé. Il est rejeté par la combustion incomplète de carburants à base de carbone (c.-à-d. les combustibles fossiles, les biocarburants ou le bois) sous la forme de matière particulaire très fine. Le carbone noir n'est pas rejeté seul, mais en tant que composante d'une matière particulaire d'un diamètre inférieur ou égal à 2,5 micromètres (PM2,5). En tant que membre du Conseil de l'Arctique, le Canada est engagé à produire un inventaire annuel des émissions de carbone noir. Ces données serviront à informer les Canadiens au sujet des émissions de carbone noir et à fournir des renseignements inestimables pour l'élaboration de stratégies de gestion de la qualité de l'air. Les données utilisées pour la compilation du rapport proviennent des sections de l'Inventaire des émissions de polluants atmosphériques (IEPA) en particulier pour les émissions de matières particulaires fines (PM2,5) provenant de sources liées à la combustion Renseignements supplémentaires Pour un complément d'information sur l'Inventaire des émissions de carbone noir du Canada, consulter : https://Canada.ca/carbone-noir Pour les émissions canadiennes d'autres polluants atmosphériques, se reporter à l'Inventaire des émissions de polluants atmosphériques : https://www.canada.ca/fr/environnement-changement-climatique/services/polluants/inventaire-emissions-atmospheriques-apercu.html Outil d'interrogation interactif de l'IEPA et carbone noir : https://pollution-waste.canada.ca/air-emission-inventory/?GoCTemplateCulture=fr-CA Soutien aux projets : Inventaire des émissions de carbone noir au Canada 2013-2023 Black carbon is a short-lived, small aerosol (or airborne) particle linked to both climate warming and adverse health effects. It is emitted from incomplete combustion of carbon-based fuels (i.e., fossil fuels, biofuels, wood) in the form of very fine particulate matter. Black carbon is not emitted on its own, but as a component of particulate matter less than or equal to 2.5 micrometres in diameter (PM2.5). As a member of the Arctic Council, Canada has committed to producing an annual inventory of black carbon emissions. This data will serve to inform Canadians about black carbon emissions and provide valuable information for the development of air quality management strategies. The data used to compile the report originate from sections of the Air Pollutant Emission Inventory (APEI) specifically fine particulate matter (PM2.5) emissions from combustion-related sources. Supplemental Information For more information on Canada's Black Carbon Inventory, please visit: https://Canada.ca/black-carbon For Canada's emissions of other air pollutants, please reference the Air Pollutant Emission Inventory: https://Canada.ca/APEI APEI and Black Carbon Interactive Query Tool: https://pollution-waste.canada.ca/air-emission-inventory Supporting Projects: Canada's Black Carbon Inventory for 2013-2023

Temperature data from the Centre for Marine Applied Research's (CMAR) Coastal Monitoring Program. The original dataset includes data measured on intervals of 1 minute to 1 hour. The figure shows the daily average values for the waterbody, station, depth, time period, and quality control flags selected from the dropdown filters. The filtered dataset can be exported using the "Export" button on the right. To see other variables that were measured in this county, explore the original dataset (https://data.novascotia.ca/d/wpsu-7fer). To learn more about CMAR's Coastal Monitoring Program, visit https://cmar.ca/coastal-monitoring-program/

L'objectif de cette page est de décrire l'organisation du rapport d'inventaire des gaz à effet de serre et d'indiquer où trouver le matériel en ligne. Pour en savoir plus sur l'inventaire officiel des gaz à effet de serre du Canada, visitez la page principale : https://www.canada.ca/inventaire-ges Contactez-nous : https://www.canada.ca/fr/environnement-changement-climatique/services/changements-climatiques/emissions-gaz-effet-serre/coordonnees-equipe.html Documents disponibles en ligne : Le Rapport d'inventaire national (RIN) comprend trois parties. La Partie 1 du RIN comprend le Sommaire et les Chapitres 1 à 8. La Partie 2 comprend les Annexes 1 à 7. La Partie 3 comprend les Annexes 8 à 13. Le rapport complet se trouve à l'adresse suivante : https://publications.gc.ca/site/fra/9.506002/publication.html. Les fichiers de données des Partie 2 et Partie 3 sont accessibles en cliquant sur le bouton « Explorer », puis « Aller à la ressource » ci-dessous. Description du contenu de chaque répertoire: A-Secteur du GIEC : Contient divers fichiers d'émissions de gaz à effet de serre (GES) par secteur du Groupe d'experts intergouvernemental sur l'évolution du climat (GIEC) et par gaz, pour toutes les années, pour le Canada et pour les provinces et territoires. B-Secteur économique : Contient divers fichiers d'émissions de GES par secteurs économiques, pour toutes les années pour le Canada et pour la dernière année pour les provinces et les territoires. Dans le fichier FR_GES_Econ_Canada, un onglet contenant la relation entre les secteurs du GIEC et les secteurs économiques est également inclus. Les émissions sont également présentées par gaz pour le Canada et pour les provinces et territoires. C-Tableaux Électricité Canada Provinces Territoires : Contient un sommaire et des tableaux sur l'intensité des GES pour l'électricité au Canada. D-Coefficients d'émission : Contient des fichiers comprenant des informations sur les coefficients d'émission. E-ATCATF : contient des estimations de séries chronologiques pour le secteur de l'affectation des terres, du changement d'affectation des terres et foresterie (ATCATF), des fichiers géomatiques contenant des estimations attribuées à des unités spatiales, et un plan pluriannuel d'amélioration de la foresterie. F-Agriculture : Contient des estimations de séries chronologiques pour le secteur de l'agriculture et des fichiers géomatiques contenant des estimations attribuées à des unités spatiales. G-Annexes supplémentaires du RIN : Contient l'Annexe 1 (catégories clés), l'Annexe 2 (incertitude), l'Annexe 3 (méthodologies), l'Annexe 4 (approches sectorielles et de référence, et bilan énergétique national), l'Annexe 5 (exhaustivité), l'Annexe 7 (ozone et précurseurs d'aérosols) et l'Annexe 8 (protocole d'arrondissement) du Rapport d'inventaire national (RIN). The purpose of this page is to describe the organization of the greenhouse gas inventory report and to indicate where to find the online material. To learn more about Canada's official greenhouse gas inventory, visit the Main page: https://www.canada.ca/ghg-inventory Contact us: https://www.canada.ca/en/environment-climate-change/services/climate-change/greenhouse-gas-emissions/contact-team.html Documents available online: The National Inventory Report (NIR) comprises three parts. Part 1 of the NIR includes the Executive Summary and Chapters 1 to 8. Part 2 consists of Annexes 1 to 7. Part 3 includes Annexes 8 to 13. The full report can be found at the following address: https://publications.gc.ca/site/eng/9.506002/publication.html. Part 2 and Part 3 data files can be accessed by clicking on the "Explore" button below, then "Go to resource". Description of the content of each folder: A-IPCC Sector: Contains various greenhouse gas (GHG) emissions files by Intergovernmental Panel on Climate Change (IPCC) sector and by gas, for all years, for Canada and for provinces and territories. B-Economic Sector: Contains various GHG emissions files by Economic sectors, for all years for Canada and for the latest year for provinces and territories. In the EN_GHG_Econ_Canada file, a tab containing the relationship between IPCC sector and Economic sector is also provided. Emissions are also presented by gas for Canada and for the provinces and territories. C-Tables Electricity Canada Provinces Territories: Contains summary and GHG intensity tables for Electricity in Canada. D-Emission Factors: Contains files with information on emission factors. E-LULUCF: Contains time-series estimates for the Land Use, Land-Use Change and Forestry (LULUCF) sector, geomatics files containing estimates attributed to spatial units, and a multi-year forestry improvement plan. F-Agriculture: Contains time-series estimates for the Agriculture sector and geomatics files containing estimates attributed to spatial units. G-Additional NIR Annexes: Contains Annex 1 (key categories), Annex 2 (uncertainty), Annex 3 (methodologies), Annex 4 (sectoral and reference approaches, and national energy balance), Annex 5 (completeness), Annex 7 (ozone and aerosol precursors) and Annex 8 (rounding protocol) of the National Inventory Report (NIR).

Temperature data from the Centre for Marine Applied Research's (CMAR) Coastal Monitoring Program. The original dataset includes data measured on intervals of 1 minute to 1 hour. The figure shows the daily average values for the waterbody, station, depth, time period, and quality control flags selected from the dropdown filters. The filtered dataset can be exported using the "Export" button on the right. To see other variables that were measured in this county, explore the original dataset (https://data.novascotia.ca/d/x9dy-aai9). To learn more about CMAR's Coastal Monitoring Program, visit https://cmar.ca/coastal-monitoring-program/.

Le programme des Indicateurs canadiens de durabilité de l'environnement (ICDE) rend compte de la performance du Canada à l'égard d'enjeux clés en matière de développement durable. L'indicateur sur les Émissions de gaz à effet de serre des installations d'envergure présente les émissions totales de gaz à effet de serre provenant des plus grands émetteurs de gaz à effet de serre au Canada pour l'année de déclaration 2023. Le Programme de déclaration de gaz à effet de serre assure le suivi et la déclaration obligatoire des émissions de gaz à effet de serre par les plus grands émetteurs du Canada. Cette déclaration obligatoire contribue au développement, à la mise en œuvre et à l'évaluation des politiques et stratégies du Canada en matière de changements climatiques et d'énergie. Les données sur les émissions de gaz à effet de serre déclarées dans le cadre du Programme de déclaration des gaz à effet de serre sont utilisées pour le développement des estimations des émissions de gaz à effet de serre au Canada dans le Rapport d'inventaire national et pour appuyer les initiatives de règlementation. Cette information est rendue disponible aux Canadiens sous plusieurs formats : cartes statiques et interactives, figures et graphiques, tableaux de données HTML et CSV et rapports téléchargeables. Voir la documentation supplémentaire pour les sources des données et pour lire comment les données sont collectées et comment l'indicateur est calculé. Indicateurs canadiens de durabilité de l'environnement : https://www.canada.ca/indicateurs-environnementaux The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Greenhouse gas emissions from large facilities indicator reports total greenhouse gas emissions from the largest greenhouse gas emitters in Canada for the 2023 reporting year. The Greenhouse Gas Reporting Program ensures that the greenhouse gas emissions from Canada's largest emitters are tracked and reported. This mandatory reporting contributes to the development, implementation and evaluation of climate change and energy policies and strategies in Canada. Greenhouse gas emissions data reported through the Greenhouse Gas Reporting Program are used to inform the development of estimates of greenhouse gas emissions in Canada in the National Inventory Report, and to support regulatory initiatives. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

Machine learning's application in solar-thermal desalination is limited by data shortage and inconsistent analysis. This study develops an optimized dataset collection and analysis process for the representative solar still. By ultra-hydrophilic treatment on the condensation cover, the dataset collection process reduces the collection time by 83.3%. Over 1,000 datasets are collected, which is nearly one order of magnitude larger than up-to-date works. Then, a new interdisciplinary process flow is proposed. Some meaningful results are obtained that were not addressed by previous studies. It is found that Radom Forest might be a better choice for datasets larger than 1,000 due to both high accuracy and fast speed. Besides, the dataset range affects the quantified importance (weighted value) of factors significantly, with up to a 115% increment. Moreover, the results show that machine learning has a high accuracy on the extrapolation prediction of productivity, where the minimum mean relative prediction error is just around 4%. The results of this work not only show the necessity of the dataset characteristics' effect but also provide a standard process for studying solar-thermal desalination by machine learning, which would pave the way for interdisciplinary study.

Sustainable Development (SD) is a significant, high-visibility endeavor. However, there is no comprehensive synthesis of the concept. Instead, there is diversity and vagueness to the point where the term may have lost utility. The following dissertation investigates both theories and practices of SD, aiming to identify, validate, and apply a simple, informative, and operationalizable core idea behind SD. The research objectives are three-fold: (1) to propose a definition of SD that balances complexity and simplicity while accounting for variation in SD approaches; (2) to create an evaluation framework that effectively and minimally differentiates between adequate and inadequate approaches; and (3) to offer guidelines for SD implementation based on the framework’s application to selected case studies. The research consists of three studies, each focused on one of the objectives and presented in chapters two, three, and four.The first study seeks to identify a core concept for SD that is both simple and informative. The study argues that four concepts are fundamental to adequately understand SD: development, sustainability, justice, and governance. First, as a directional change in the net quality of life, development is needed to ensure desirable living standards for the overall population and subpopulations. Second, as the ability to maintain a system feature or state over a time horizon, sustainability is required to guarantee that the quality of life remains uncompromised in the face of social and environmental constraints and trade-offs. Third, justice is critical because while development can be unjust and injustices can be sustained, these outcomes are inconsistent with SD objectives. Fourth, governance is fundamental to regulate and enforce the desired traits of the system characterized by the previous three concepts, particularly to oppose existing tendencies toward inequity and injustice. The second study focuses on devising a diagnostic tool, i.e., an evaluation framework, to address the need to assess and compare the abundance of theoretical and practical approaches. Based on an intense interdisciplinary literature review, the developed framework consists of ten questions addressing development, sustainability, justice, and governance. The study argued that an adequate SD approach should cover and address all these questions promptly. The first two questions capture development by determining which metrics to use and how to measure developmental success. The next three questions cover sustainability by addressing what to sustain, how to determine success, and the intended time horizon. The following two questions focus on justice, addressing the target recipients and the distribution of benefits and burdens. Lastly, the final three questions encompass governance, including whether it is a shared practice, whether it results in collective actions toward SD, and whether SD objectives are integrated. Based on the analysis, SD is defined as Sustainable Development as the evolution of a particular Coupled Human and Natural System (CHANS) resulting from an intervention to improve or maintain the net quality of life for the entire system within the environmental and social constraints of the system, while ensuring that the increase in the relative quality of life for the least advantaged members of the system is at least greater than for the remainder, over multi-generation time horizons for system participants, and opposing existing tendencies toward inequity and injustice via appropriate governance. The third study applies the evaluation framework to two case studies, the Burning Man Project (BMP) and the UN’s Sustainable Development Goals (SDGs), to demonstrate the diagnostic tools’ utility, validate its robustness, and extract cross-scales insights. The investigation reveals that both BMP and SDGs meet the minimum criteria for adequate SD approaches despite implicit or partial responses to the ten questions. Recommendations for improving these approaches include explicating the time horizon of sustainability and a more thorough integration of objectives. Furthermore, based on the comparison of the two cases, the study discusses the role of the population, the importance of integrating objectives, and scale considerations and provides practical insights. For instance, both BMP and SDGs need to uphold a minimum commitment among their target population to their respective practices and ensure meeting sustainability constraints. However, the reasons, potential solutions, and management mechanisms differ between the two cases due to context-dependent factors and variations in scale. The aspiration is that this research offers a foundation for future investigation and application of SD, providing a comprehensive and operationalizable framework to evaluate and compare diverse SD approaches and facilitating more effective development and implementation of SD strategies. The insights gained from this study can help inform the development of new SD approaches, monitoring and assessment tools, and foster a more nuanced understanding of the intricacies inherent in the pursuit of SD.

Le programme des Indicateurs canadiens de durabilité de l'environnement (ICDE) rend compte de la performance du Canada à l'égard d'enjeux clés en matière de développement durable. Les indicateurs donnent un aperçu des émissions de gaz à effet de serre (GES) du Canada projetées jusqu'en 2040. Cet indicateur permet au public et aux décideurs de prendre connaissance des projections modélisées des émissions de GES du Canada par rapport aux cibles de 2030 et de 2035 et au-delà avec des projections jusqu'en 2040. Cette information est rendue disponible aux Canadiens sous plusieurs formats : cartes statiques et interactives, figures et graphiques, tableaux de données HTML et CSV et rapports téléchargeables. Voir la documentation supplémentaire pour les sources des données et pour lire comment les données sont collectées et comment l'indicateur est calculé. Indicateurs canadiens de durabilité de l'environnement : https://www.canada.ca/indicateurs-environnementaux The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The indicator provides an overview of Canada's projected greenhouse gas (GHG) emissions up to 2040. The indicator allows the public and policy-makers to see Canada's modelled GHG emissions projections relative to the 2030 and 2035 targets and beyond with projections up to 2040. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

AbstractAs the bones and muscles of our built environment, engineering structures support all kind of societal activities. However, they consume huge amounts of resources and significantly contribute to impact on our environment. Structural design codes play an important matter in this regard since they regulate the use of materials by use of prescribed decision rules. These relatively simple and generalized rules offer significant potential for improvement. Grounded on risk-based optimization approaches, this paper explores this potential in connection with the design of reinforced concrete floor systems. Assuming a large variety of realistic design situations, representative sets of such members are defined and designed according to the semi-probabilistic safety concept in the Eurocodes. The benefits of a risk-informed structural design compared to the use of these standardized decision rules are demonstrated in terms of material consumption and CO2 emissions.