GMP Data Warehouse – a Supporting Tool of Effectiveness Evaluation of the Stockholm Convention on Persistent Organic Pollutants
| Autor: | Jana Borůvková, Richard Hůlek, Jiří Jarkovský, Kateřina Šebková, Jiří Kalina, Jana Klánová, Ladislav Dušek, Jakub Gregor |
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| Přispěvatelé: | Masaryk University [Brno] (MUNI), Jiří Hřebíček, Ralf Denzer, Gerald Schimak, Tomáš Pitner, TC 5, WG 5.11 |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Pollutant
Data collection Global Monitoring Plan 6. Clean water Data warehouse Convention Database Visualisation Multilateral environmental agreement 13. Climate action Data structure Information system Environmental science [INFO]Computer Science [cs] Standardisation Stockholm Convention on Persistent Organic Pollutants POPs Environmental planning Analysis Stockholm Convention |
| Zdroj: | IFIP Advances in Information and Communication Technology 12th International Symposium on Environmental Software Systems (ISESS) 12th International Symposium on Environmental Software Systems (ISESS), May 2017, Zadar, Croatia. pp.184-195, ⟨10.1007/978-3-319-89935-0_16⟩ Environmental Software Systems. Computer Science for Environmental Protection ISBN: 9783319899343 ISESS |
| Popis: | Part 4: Health and Biosphere; International audience; The Stockholm Convention on Persistent Organic Pollutants is multilateral environmental agreement focused on selected persistent organic pollutants (POPs) for which the contracting Parties must adopt measures to eliminate or reduce their production and use or minimise the unintentional releases. One of the tools for the effectiveness evaluation of the Stockholm Convention is Global Monitoring Plan for Persistent Organic Pollutants (GMP) – a project that aims to collect global data on POPs concentrations in selected environmental matrices. This paper introduces an information system GMP Data Warehouse, which was developed in order to provide user-friendly tools for the collection, storage, analyses and visualisation of data from international POPs monitoring activities. |
| Databáze: | OpenAIRE |
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