Sustainable Development Data Availability on the Internet

Defining what Sustainability and Sustainable Development mean is a critical task, as they are global objectives, which cover different aspects of life often difficult to quantify and describe. Talking about sustainable development means dealing with the development and implementation of SD strategies at international as well as at local level. With this regard, SD information plays a key role in monitoring SD performances at different administration levels. The aim of this paper is to give an overview of sustainable data availability on the internet at international, European, national and regional level. The paper is novel in the fact that the attention of the whole analysis focused on internet, considered as the principal mean for accessing data. In fact, the web has become through the years a fundamental tool for exchanging information amongst people, organisations, institutes, governments, thanks to its easy accessibility for a wide knowledge exchange. Sustainable development data collected at different administrative levels are classified and processed according to different methods and procedures; they are gathered at different scales, in different periods and they have a different frequency of updating. Data accuracy and meta-information on available data considerably vary, too. Few organisations at the international and at the European level such as, for example, World Bank, United Nations, OECD, FAO, Eurostat, EEA committed themselves to process information belonging to different sources aiming at standardising and producing comparable data sets for several nations and regions. Following the above considerations, various international, European and national organisations’ databases were investigated in order to check the availability of data at different administrative levels, mostly focusing on those sectors considered as pillars for the definition and monitoring of the implementation of the EU Sustainable Development Strategy, as pointed out in the Communication of the EC SEC(2005) 161 final.Sustainability, Indicators, Regional Development, Internet, Database

The consolidated European synthesis of CO2emissions and removals for the European Union and United Kingdom : 1990-2018

Acknowledgements FAOSTAT statistics are produced and disseminated with the support of its member countries to the FAO regular budget. Philippe Ciais acknowledges the support of the European Research Council Synergy project SyG-2013-610028 IMBALANCE-P and from the ANR CLAND Convergence Institute. We acknowledge the work of the entire EDGAR group (Marilena Muntean, Diego Guizzardi, Edwin Schaaf and Jos Olivier). We acknowledge Stephen Sitch and the authors of the DGVMs TRENDY v7 ensemble models for providing us with the data. Financial support This research has been supported by the H2020 European Research Council (grant no. 776810).Peer reviewedPublisher PD

The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990-2018

Reliable quantification of the sources and sinks of atmospheric carbon dioxide (CO2), including that of their trends and uncertainties, is essential to monitoring the progress in mitigating anthropogenic emissions under the Kyoto Protocol and the Paris Agreement. This study provides a consolidated synthesis of estimates for all anthropogenic and natural sources and sinks of CO2 for the European Union and UK (EU27 + UK), derived from a combination of state-of-the-art bottom-up (BU) and top-down (TD) data sources and models. Given the wide scope of the work and the variety of datasets involved, this study focuses on identifying essential questions which need to be answered to properly understand the differences between various datasets, in particular with regards to the less-well-characterized fluxes from managed ecosystems. The work integrates recent emission inventory data, process-based ecosystem model results, data-driven sector model results and inverse modeling estimates over the period 1990-2018. BU and TD products are compared with European national greenhouse gas inventories (NGHGIs) reported under the UNFCCC in 2019, aiming to assess and understand the differences between approaches. For the uncertainties in NGHGIs, we used the standard deviation obtained by varying parameters of inventory calculations, reported by the member states following the IPCC Guidelines. Variation in estimates produced with other methods, like atmospheric inversion models (TD) or spatially disaggregated inventory datasets (BU), arises from diverse sources including within-model uncertainty related to parameterization as well as structural differences between models. In comparing NGHGIs with other approaches, a key source of uncertainty is that related to different system boundaries and emission categories (CO2 fossil) and the use of different land use definitions for reporting emissions from land use, land use change and forestry (LULUCF) activities (CO2 land). At the EU27 + UK level, the NGHGI (2019) fossil CO2 emissions (including cement production) account for 2624 Tg CO2 in 2014 while all the other seven bottom-up sources are consistent with the NGHGIs and report a mean of 2588 (± 463 Tg CO2). The inversion reports 2700 Tg CO2 (± 480 Tg CO2), which is well in line with the national inventories. Over 2011-2015, the CO2 land sources and sinks from NGHGI estimates report-90 Tg C yr-1 ± 30 Tg C yr-1 while all other BU approaches report a mean sink of-98 Tg C yr-1 (± 362 Tg of C from dynamic global vegetation models only). For the TD model ensemble results, we observe a much larger spread for regional inversions (i.e., mean of 253 Tg C yr-1 ± 400 Tg C yr-1). This concludes that (a) current independent approaches are consistent with NGHGIs and (b) their uncertainty is too large to allow a verification because of model differences and probably also because of the definition of "CO2 flux"obtained from different approaches. The referenced datasets related to figures are visualized. © 2021 Ana Maria Roxana Petrescu et al

Impact evaluation of biomass used in small combustion activities sector on air emissions: Analyses of emissions from Alpine, Adriatic-Ionian and Danube EU macro-regions by using the EDGAR emissions inventory

The emissions from small stationary combustion activities sector, in particular from the energy needs for residential buildings, have significant shares in total emissions of EU28. Therefore, measures to mitigate the emissions from this less regulated sector related to implementation checking are needed. In this study, we analysed the changes in fuel mix for this sector over 1990-2012 period, the emissions and their distribution over the areas covered by European Union Strategy for Alpine macro-region (EUSALP), European Union Strategy for Adriatic and Ionian macro-region (EUSAIR) and European Union Strategy for Danube macro-region (EUSDR). The emissions gridmaps of fine particulate matter (PM2.5), black carbon (BC) and benzo(a)pyren (BaP) are presented for the year 2010; in specific circumstances, these pollutants are known to produce negative effects on health. For this research, we used the data and information of the Emissions Database for Global Atmospheric Research (EDGAR) versions v4.3.2 and v4.tox3. Accurate emissions estimates are important to evaluate the impacts of fuel combustion in small stationary combustion activities sector on air quality, human health and crops. Inventories of GHGs, air pollutants and toxic pollutants included in EDGAR are developed by using, as input, fuel consumption from IEA (2014) and emissions factors from scientific literature and official guidebooks such as EMEP/EEA (2013). Working together with emissions inventory experts from selected countries in these macro-regions, the effects of improvements of fuel consumption statistics, biomass in particular, on emissions in the latest years have been quantified by comparing EDGAR data with national data. Besides sectorial emissions estimation, the emissions distribution is also important in the inventory development process. In order to distribute emissions consistently for all countries included in Alpine, Adriatic-Ionian and Danube macro-regions, the EDGAR team upgraded the WEB-based gridding tool with a module for small stationary combustion activities. Emissions estimation and distribution are key elements in preparing a complete input for chemical transport models and further evaluate the impacts of these emissions on air quality, health and crops. This report aims to provide the policy makers and scientists insights on the representativeness and uncertainty of local emissions from the residential sector that play an important role on air quality. These datasets can be used as input for the atmospheric chemical transport models for air pollutants and can illustrate the importance of emission inventory uncertainties and discrepancies.JRC.C.5-Air and Climat

COVID-19 causes record decline in global CO2 emissions

The considerable cessation of human activities during the COVID-19 pandemic has affected global energy use and CO2 emissions. Here we show the unprecedented decrease in global fossil CO2 emissions from January to April 2020 was of 7.8% (938 Mt CO2 with a +6.8% of 2-{\sigma} uncertainty) when compared with the period last year. In addition other emerging estimates of COVID impacts based on monthly energy supply or estimated parameters, this study contributes to another step that constructed the near-real-time daily CO2 emission inventories based on activity from power generation (for 29 countries), industry (for 73 countries), road transportation (for 406 cities), aviation and maritime transportation and commercial and residential sectors emissions (for 206 countries). The estimates distinguished the decline of CO2 due to COVID-19 from the daily, weekly and seasonal variations as well as the holiday events. The COVID-related decreases in CO2 emissions in road transportation (340.4 Mt CO2, -15.5%), power (292.5 Mt CO2, -6.4% compared to 2019), industry (136.2 Mt CO2, -4.4%), aviation (92.8 Mt CO2, -28.9%), residential (43.4 Mt CO2, -2.7%), and international shipping (35.9Mt CO2, -15%). Regionally, decreases in China were the largest and earliest (234.5 Mt CO2,-6.9%), followed by Europe (EU-27 & UK) (138.3 Mt CO2, -12.0%) and the U.S. (162.4 Mt CO2, -9.5%). The declines of CO2 are consistent with regional nitrogen oxides concentrations observed by satellites and ground-based networks, but the calculated signal of emissions decreases (about 1Gt CO2) will have little impacts (less than 0.13ppm by April 30, 2020) on the overserved global CO2 concertation. However, with observed fast CO2 recovery in China and partial re-opening globally, our findings suggest the longer-term effects on CO2 emissions are unknown and should be carefully monitored using multiple measures

Towards An Integrated Land Use Data Base for Assessing the Potential for Greenhouse Gas Mitigation

This paper describes the GTAP Land Use Data Base designed to support integrated assessments of the potential for greenhouse gas mitigation. It disaggregates land use by agro-ecological zone (AEZ). To do so, it draws upon global land cover data bases, as well as state-of-the-art definition of AEZs from the FAO and IIASA. Agro-ecological zoning segments a parcel of land into smaller units according to agro-ecological characteristics, including: precipitation, temperature, soil type, terrain conditions, etc. Each zone has a similar combination of constraints and potential for land use. In the GTAP-AEZ Data Base, there are 18 AEZs, covering six different lengths of growing period spread over three different climatic zones. Land using activities include crop production, livestock raising, and forestry. In so doing, this extension of the standard GTAP Data Base permits a much more refined characterization of the potential for shifting land use amongst these different activities. When combined with information on greenhouse gas emissions, this data base permits economists interested in integrated assessment of climate change to better assess the role of land use change in greenhouse gases mitigation strategies

Emission accounting and drivers in 2004 EU accession countries

The ten countries that joined the European Union (EU) in 2004 (Cyprus, Czechia, Estonia, Hungary, Lithuania, Latvia, Malta, Poland, Slovakia, and Slovenia) have experienced faster economic growth and slower declines in energy consumption than traditional EU members. As designing of low-carbon policies requires accurate CO2 emission accounting, this study describes the evolving trajectories of CO2 emissions from 2005 to 2017 of 2004 EU accession members by providing detailed emission inventories by 28 types of energy and 47 socioeconomic sectors. We further quantify the contributions of four socioeconomic drivers (i.e., economic growth, energy structure, carbon intensity, and energy intensity) to the emission changes. The results show that the total CO2 emissions of the ten countries decreased by 7.50% from 2010 (506.81 Mt) to 2016 (468.78 Mt), which is lower than the average decline rate of other EU members (10.52%). Although the effect of economic growth contributed the most to emission increase (15.44%), it is completely offset by the decline in carbon intensity (-18.82%). We also discuss potential roadmaps towards carbon neutrality by designing 33 scenarios based on the European Union Low-Carbon Development Map 2050. We find that carbon neutrality cannot be achieved unless the share of renewable energy sources reaches 60% and more than half of existing coal and gas power plants are upgraded to Carbon Capture Storage (CCS) technology. These changes require the implementation of both short-term and long-term strategies