Sasia Iñaki, Bueno Gorka, Etxano Iker
EKOPOL, Research Group On Ecological Economics and Political Ecology, Faculty of Social Sciences and Communication, University of the Basque Country (UPV/EHU), Sarriena S/N, 48940, Leioa, Basque Country, Spain.
Department of Electronics Engineering, Faculty of Engineering of Bilbao, University of the Basque Country (UPV/EHU), Torres Quevedo Ingeniaria Plaza, 1, 48013, Bilbao, Basque Country, Spain.
Environ Monit Assess. 2025 Jan 11;197(2):163. doi: 10.1007/s10661-024-13565-3.
This article presents Amalur EIS ( https://www.amalur-eis.eus/ ), an Environmental Information System that estimates environmental impacts using data sourced from the European Pollutant Release and Transfer Register database (E-PRTR). The system uses data on the releases into land, air and water of 31,556 European industrial facilities for the period 2007-2021. Amalur EIS calculates environmental impacts of industrial releases using 31 life cycle impact assessment methods (LCIA) and covering 78 of the 91 pollutants regulated by the PRTR Protocol. The system has been constructed using a two-layer software infrastructure: (i) a data layer supported by a relational database built in Postgres and (ii) a presentation layer built in Tableau, so it provides user-friendly access to the information. For an illustrative analysis of the tool, the EF 3.0 LCIA method recommended by the European Commission was used, including normalisation and weighting steps for a better comparison. The analysis concludes that the climate change impact category contributes the most (68.6%) to the total impacts, while the largest contributor from an economic activity perspective is the energy sector (59.5%). Geographically, both elements coincide in the German regions of Düsseldorf, Köln and Brandenburg, resulting in the concentration of the largest impacts at the European regional level. In fact, Germany is the country with the highest impact (20.3% of total). Beyond this analysis, Amalur EIS is poised to be a valuable tool for tracking the transition towards sustainability, particularly in Europe.
本文介绍了阿马鲁环境信息系统(https://www.amalur-eis.eus/),这是一个利用来自欧洲污染物排放与转移登记数据库(E-PRTR)的数据估算环境影响的环境信息系统。该系统使用了2007年至2021年期间31556家欧洲工业设施向土地、空气和水的排放数据。阿马鲁环境信息系统使用31种生命周期影响评估方法(LCIA)计算工业排放的环境影响,涵盖了PRTR协议监管的91种污染物中的78种。该系统采用两层软件架构构建:(i)由Postgres构建的关系数据库支持的数据层,以及(ii)Tableau构建的表示层,因此它为用户提供了对信息的友好访问。为了对该工具进行说明性分析,使用了欧盟委员会推荐的EF 3.0 LCIA方法,包括归一化和加权步骤以便更好地进行比较。分析得出结论,气候变化影响类别对总影响的贡献最大(68.6%),而从经济活动角度来看,最大的贡献者是能源部门(59.5%)。在地理上,这两个因素在德国的杜塞尔多夫、科隆和勃兰登堡地区重合,导致在欧洲区域层面上最大影响的集中。事实上,德国是影响最大的国家(占总数的20.3%)。除了这一分析之外,阿马鲁环境信息系统有望成为跟踪向可持续发展转型的宝贵工具,尤其是在欧洲。