scholarly journals 30 years of European Commission Radioactivity Environmental Monitoring Database (REMdb) – an open door to boost environmental radioactivity research

2019 ◽  
Author(s):  
Marco Sangiorgi ◽  
Miguel A. Hernández Ceballos ◽  
Giorgia Iurlaro ◽  
Giorgia Cinelli ◽  
Marc de Cort
Keyword(s):  
Environmental Monitoring ◽  
European Commission ◽  
Chernobyl Accident ◽  
Data Bank ◽  
Original Data ◽  
Environmental Radioactivity ◽  
Monitoring Data ◽  
Research Centre ◽  
The European Union ◽  
Joint Research

Abstract. The Radioactivity Environmental Monitoring data bank (REMdb) was created in the aftermath of the Chernobyl accident (1986) by the European Commission (EC) – DG Joint Research Centre (DG JRC), sited in Ispra (Italy). Since then it has been maintained there with the aim to keep a historical record of the Chernobyl accident and to store the radioactivity monitoring data gathered through the national environmental monitoring programs of the Member States (MSs). The legal basis is the Euratom Treaty, Chapter III Health and Safety, Articles 35 and 36, which clarifies that MSs shall periodically communicate to the EC information on environmental radioactivity levels. By collecting and validating this information in the REMdb, JRC supports the DG for Energy in its responsibilities in returning qualified information to the MSs (competent authorities and general public) on the levels of radioactive contamination of the various compartments of the environment (air, water, soil) on the European Union scale. The REMdb accepts data on radionuclide concentrations from EU MSs in both environmental samples and foodstuffs from 1984 onwards. To date, the total number of data records stored in REMdb exceeds five million, in this way providing the scientific community with a valuable archive of environmental radioactivity topics in Europe. Records stored in the REMDdb are publicly accessible until 2006 through an unrestricted repository ("REM data bank – Years 1984–2006" http://doi.org/10.2905/jrc-10117-10024). Access to data from 2007 onwards is granted only after explicit request, until the corresponding monitoring report is published. Each data record contains information describing the sampling circumstances (sampling type, begin-end time), measurement conditions (value, nuclide, apparatus, etc.), location and date of sampling and original data reference. In this paper the scope, features and extension of the REMdb are described in detail.

scholarly journals 30 years of European Commission Radioactivity Environmental Monitoring data bank (REMdb) – an open door to boost environmental radioactivity research

2019 ◽  
Vol 11 (2) ◽  
pp. 589-601 ◽  
Author(s):  
Marco Sangiorgi ◽  
Miguel Angel Hernández Ceballos ◽  
Giorgia Iurlaro ◽  
Giorgia Cinelli ◽  
Marc de Cort
Keyword(s):  
Environmental Monitoring ◽  
European Commission ◽  
Chernobyl Accident ◽  
Data Bank ◽  
Environmental Radioactivity ◽  
Monitoring Data ◽  
Research Centre ◽  
The European Union ◽  
Joint Research ◽  
Environmental Monitoring Data

Abstract. The Radioactivity Environmental Monitoring data bank (REMdb) was created in the aftermath of the Chernobyl accident (1986) by the European Commission (EC) – Directorate-General Joint Research Centre (DG JRC), sited in Ispra (Italy). Since then it has been maintained there with the aim to keep a historical record of the Chernobyl accident and to store the radioactivity monitoring data gathered through the national environmental monitoring programs of the member states (MSs). The legal basis is the Euratom Treaty, Chapter III Health and Safety, Articles 35 and 36, which clarify that MSs shall periodically communicate to the EC information on environmental radioactivity levels. By collecting and validating this information in REMdb, JRC supports the DG for Energy in its responsibilities in returning qualified information to the MSs (competent authorities and general public) on the levels of radioactive contamination of the various compartments of the environment (air, water, soil) on the European Union scale. REMdb accepts data on radionuclide concentrations from EU MSs in both environmental samples and foodstuffs from 1984 onwards. To date, the total number of data records stored in REMdb exceeds 5 million, in this way providing the scientific community with a valuable archive of environmental radioactivity topics in Europe. Records stored in REMdb are publicly accessible until 2011 through an unrestricted repository “REM data bank – Years 1984–2006” https://doi.org/10.2905/jrc-10117-10024 (De Cort et al., 2007) and “REM data bank – Years 2007–2011” https://doi.org/10.2905/de42f259-fafe-4329-9798-9d8fabb98de5 (De Cort et al., 2012). Access to data from 2012 onwards is granted only after explicit request, until the corresponding monitoring report is published. Each data record contains information describing the sampling circumstances (sampling type, begin and end time), measurement conditions (value, nuclide, apparatus, etc.), location and date of sampling, and original data reference. In this paper the scope, features and extension of REMdb are described in detail.

scholarly journals Predicting Future Forest Ranges Using Array-based Geospatial Semantic Modelling

2014 ◽  
Author(s):  
Elise Mulder Osenga
Keyword(s):  
Climate Change ◽  
European Union ◽  
Data Collection ◽  
European Commission ◽  
Research Centre ◽  
The European Union ◽  
Joint Research ◽  
Joint Research Centre ◽  
Semantic Modelling ◽  
Impacts Of Climate Change

Studying the impacts of climate change requires looking at a multitude of variables across a broad range of sectors [1,2]. Information on the variables involved is often unevenly available or offers different uncertainties [3,4], and a lack of uniform terminology and methods further complicates the process of analysis, resulting in communication gaps when research enterprises span different sectors. For example, models designed by experts in one given discipline might assume conventions in language or oversimplify cross-disciplinary links in a way that is unfamiliar for scientists in another discipline. Geospatial Semantic Array Programming (GeoSemAP) offers the potential to move toward overcoming these challenges by promoting a uniform approach to data collection and sharing [5]. The Joint Research Centre of the European Commission has been exploring the use of geospatial semantics through a module in the PESETA II project (Projection of economic impacts of climate change in sectors of the European Union based on bottom-up analysis). <BR/>This manuscript has been accepted for publication in IEEE Earthzine 2014 Vol. 7 Issue 2, 2nd quarter theme: Geospatial Semantic Array Programming. The definitive version will be published at: http://www.earthzine.org/

scholarly journals Integrating business start-up indicators in the flexicurity concept to cover the alternative forms of employment

2016 ◽  
Author(s):  
Agnese Vaivade ◽  
Edgars Brekis ◽  
Erika Sumilo
Keyword(s):  
European Commission ◽  
Entrepreneurial Activity ◽  
Research Centre ◽  
The European Union ◽  
Joint Research ◽  
Leading Role ◽  
Analysis Methodology ◽  
Start Up ◽  
Flexible Form ◽  
Start Ups

The flexicurity concept created in the Netherlands and Denmark in the early 1990s has become the main stepping-stone in improving the performance of labour markets across the European Union Member States. The European Commission has therefore taken a leading role on broader flexicurity concept development and creation of the data analysis methodology. However, the analysis proposed by the European Commission Joint Research Centre on flexicurity indicators in 2010 only partly includes business start-ups as a flexible form of employment. This research starts the discussion on whether additional indicators should be integrated in the flexicurity analysis, because of the rising need for employment security through entrepreneurial activity.

scholarly journals Event-specific multiplex PCR method for four genetically modified cotton varieties, and its application

2019 ◽  
Vol 62 (1) ◽  
Author(s):  
Soon-Jae Eum ◽  
Il Ryong Kim ◽  
Hye Song Lim ◽  
Jung Ro Lee ◽  
Wonkyun Choi
Keyword(s):  
Environmental Monitoring ◽  
Multiplex Pcr ◽  
Genetically Modified ◽  
Research Centre ◽  
Pcr Analysis ◽  
Amplification Efficiency ◽  
The Novel ◽  
Joint Research ◽  
Genetically Modified Cotton ◽  
Pcr Method

Abstract Multiplex polymerase chain reaction (PCR) methods have been developed and validated for screening, tracing, and regulating genetically modified (GM) crops in quarantine and environmental monitoring. In this study, we aimed to develop a method to simultaneously detect four GM cotton varieties in order to establish a screening system for cotton volunteers. Based on the sequence of DNA in the junction between introduced gene and flanking genomic DNA of four GM cotton events, herbicide-tolerant MON88701 and DAS-81910-7 and insect-resistant COT102 and T304-40, event-specific primers were designed and a multiplex detection method was developed. The simplex PCR results supported the multiplex PCR results; the amplification efficiency of the novel multiplex PCR method was increased compared with that of the Joint Research Centre (JRC) method. Based on the accuracy and efficiency, the method can be applied to detect and identify randomly mixed reference materials and suspected cotton volunteers. To apply this multiplex PCR method to living modified (LM) environmental monitoring samples, we performed additional PCR analysis to identify whether the volunteers were the four LM cotton varieties. As a result, 66 cotton volunteers were identified with stack event, comprising one or two of the four LM cotton events, and all stacks have been approved in South Korea for food, feed, and processing. These results indicated that our novel multiplex method is suitable for LMO identification.

scholarly journals An Assessment and Spatial Modelling of Agricultural Land Abandonment in Spain (2015–2030)

2020 ◽  
Vol 12 (2) ◽  
pp. 560 ◽  
Author(s):  
Carolina Perpiña Castillo ◽  
Eloína Coll Aliaga ◽  
Carlo Lavalle ◽  
José Carlos Martínez Llario
Keyword(s):  
Agricultural Land ◽  
Natura 2000 ◽  
Spatial Modelling ◽  
Land Abandonment ◽  
Research Centre ◽  
The European Union ◽  
Northern Spain ◽  
Joint Research ◽  
Protection Measures ◽  
High Nature Value Farmland

This article presents a study based on the outputs from the LUISA Territorial modelling platform (Joint Research Centre of the European Commission) focused on regional and local future projections of land abandonment between 2015 and 2030. Spain is taken as representative of one of the countries highly affected by agricultural land abandonment in the European Union. The most relevant factors driving land abandonment (biophysical, agroeconomics, farm structure and demographic) are described and mapped. Results from the analysis reveal that the Galicia region, northern Spain (Asturias, Cantabria, Gipuzkoa, Bizkaia), north-eastern Spain (Aragón region), central Pyrenees/Ebro basin (Huesca, Navarra, Lleida) and south-eastern Spain (Murcia, Almería, Alicante, Málaga) are expected to undergo important abandonment processes. The study also concludes that land abandonment within mountainous, high nature value farmland and Natura 2000 areas is lower compared to the outside area without conservation and protection measures.

scholarly journals A Harmonized Data Model for Noise Simulation in the EU

2020 ◽  
Vol 9 (2) ◽  
pp. 121 ◽  
Author(s):  
Kavisha Kumar ◽  
Hugo Ledoux ◽  
Richard Schmidt ◽  
Theo Verheij ◽  
Jantien Stoter
Keyword(s):  
Real World ◽  
Data Model ◽  
Input Data ◽  
Assessment Methods ◽  
Research Centre ◽  
The European Union ◽  
Joint Research ◽  
Schema Design ◽  
Noise Assessment ◽  
The Eu

This paper presents our implementation of a harmonized data model for noise simulations in the European Union (EU). Different noise assessment methods are used by different EU member states (MS) for estimating noise at local, regional, and national scales. These methods, along with the input data extracted from the national registers and databases, as well as other open and/or commercially available data, differ in several aspects and it is difficult to obtain comparable results across the EU. To address this issue, a common framework for noise assessment methods (CNOSSOS-EU) was developed by the European Commission’s (EC) Joint Research Centre (JRC). However, apart from the software implementations for CNOSSOS, very little has been done for the practical guidelines outlining the specifications for the required input data, metadata, and the schema design to test the real-world situations with CNOSSOS. We describe our approach for modeling input and output data for noise simulations and also generate a real world dataset of an area in the Netherlands based on our data model for simulating urban noise using CNOSSOS.

Joint Research Centre, European Commission

Impact ◽  
2018 ◽  
Vol 2018 (3) ◽  
pp. 4-5 ◽  
Author(s):  
Elke Anklam
Keyword(s):  
European Commission ◽  
Research Centre ◽  
Scientific Advice ◽  
Joint Research ◽  
Joint Research Centre ◽  
Eu Policy ◽  
Knowledge Service

The Joint Research Centre is the Commission's science and knowledge service. The JRC employs scientists to carry out research in order to provide independent scientific advice and support to EU policy.

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