Projects funded by the NCN
Use of artificial neural networks and methods in the field of pattern recognition for a complex catchment analysis of the impact of anthropogenic chemical and microbiological pollution on water resources
2015/19/B/ST10/02167
Keywords:
artificial neural networks pattern recognition anthropogenic sources of pollution biogenic compounds dioxins pathogenic bacteria total toxicity of water and wastewater complex analysis of environmental threats Pilica River catchment
Descriptors:
- ST10_10: Hydrogeology, hydrology, water cycle, water pollution
- ST10_13: Geoecosystem: atmosphere-morphosphere-lithosphere, pedosphere, hydrosphere, biosphere, anthroposphere
- ST10_16: Changes/shaping and protection of the natural environment
Panel:
ST10 - Earth sciences: Earth system science, atmospheric sciences, climatology, geochemistry, geodesy, geoecology, geophysics, physical geography, geoinformatics, planetary geology, pedology, mining, chemical and physical oceanology, environmental protection
Host institution :
Europejskie Regionalne Centrum Ekohydrologii Polskiej Akademii Nauk
woj. łódzkie
Principal investigator (from the host institution):
Number of co-investigators in the project: 20
Call: OPUS 10 - announced on 2015-09-15
Amount awarded: 634 000 PLN
Project start date (Y-m-d): 2016-08-18
Project end date (Y-m-d): 2020-04-17
Project duration:: 44 months (the same as in the proposal)
Project status: Project settled
Project description
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