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Mednarodni projekti vir: SICRIS

Sava river basin: sustainable use, management and protection of resources

Raziskovalci (1)
št. Evidenčna št. Ime in priimek Razisk. področje Vloga Obdobje Štev. publikacijŠtev. publikacij
1.  08379  dr. Mitja Brilly  Vodarstvo  Vodja  2004 - 2007  1.088 
Organizacije (2)
št. Evidenčna št. Razisk. organizacija Kraj Matična številka Štev. publikacijŠtev. publikacij
1.  0106  Institut "Jožef Stefan"  Ljubljana  5051606000  91.044 
2.  0792  Univerza v Ljubljani, Fakulteta za gradbeništvo in geodezijo  Ljubljana  1626981  25.755 
The Sava River (945 km) is the biggest tributary to the Danube River and has 95551 km2 large catchment. It extends over four countries, Slovenia, Croatia, Bosnia and Herzegovina and Serbia and Montenegro. In the development of the river basin management pl an all countries are already collaborating under the International Commission for the Protection of the Danube River (ICPDR) guidance. Until 1991, the methodological bases for data collection have been reasonably unified over the catchment, but lucking a l ot of today's important aspects such are ecological character of the river and its tributaries, inventory of pollution sources, dangerous substances, socio-economic parameters, cost and benefit implications and similar. For the later period a lot of data a re missing due to insufficient monitoring (financing, recent warfare) and weak institutional and legal control over use of water and land resources of the Sava River catchment. Many aspects of the river quality need scientific investigations. Furthermore, there is a need to link the knowledge of river quality state and environmental and health risk with pressures and their driving forces to propose efficient and beneficiary actions and measures for protection. In the project specific tools based on combinat ion of chemical analysis and biological effect methods will be developed and validated for the pollution of sediments and impact on water biota. Geographical distribution of pollution will be identified and historical trends defined. Integrated prediction model about the behaviour of hazardous chemical substances will be integrated with the socio-economic prediction model to serve as a base for the elaboration of scenario, remediation measures and best practice techniques. For that purpose an expert data an d information management system will be developed.
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