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Water quality
Person
Class
Person
Publication
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prof. RNDr. Jakub Langhammer Ph.D.
Academic staff at Faculty of Science
1 study programme
9 classes
240 publications
Study programme
programme
Hydrology and Hydrogeology
🇨🇿 Bc. |
Faculty of Science
Classes
class
Water Quality
MZ330P93 |
Faculty of Science
class
Advanced instrumental techniques in hydrological research
MBCPLUS013 |
Faculty of Science
class
Hydrology
MPGS0070 |
Faculty of Science
class
Current Trends in Hydrology and Hydrogeology
MZ330E005 |
Faculty of Science
class
Application of Geoinformatics in Physical Geography
MZ330P104 |
Faculty of Science
class
Hydroinformatics
MZ330P114 |
Faculty of Science
class
Extreme Hydrometeorological Phenomena and Processes
MZ330P116 |
Faculty of Science
class
Flood Risk Management
MZ330P134 |
Faculty of Science
class
Geoinformatics in Physical Geography
MZ330P48 |
Faculty of Science
Publications
publication
Analysis of efficiency of pollution reduction measures in rural basin using MIKE Basin model. Case study: Olšava river basin
2014 |
Faculty of Science
publication
Changes in water quality in agricultural catchments after deployment of wastewater treatment plant
2013 |
Faculty of Science
publication
Assessment of spatial and temporal changes of ecological status of streams in Czechia: A geographical approach
2013 |
Faculty of Science
publication
The variability of surface water quality indicators in relation to watercourse typology, Czech Republic
2012 |
Faculty of Science
publication
Modelling the Elbe River Water Quality Changes
2007 |
Faculty of Science
publication
Specific pollution of surface water and sediments in the Klabava river basin
+1
2007 |
Faculty of Science
publication
Contamination of surface water and sediment by heavy metals in Střela river basin
2007 |
Faculty of Science
publication
Suspended sediment load and soil erosion processes in mesoscale catchment areas
2007 |
Faculty of Science
publication
Water quality changes in selected rural catchments in the Czech republic
2007 |
Faculty of Science
publication
Flood Simulations Using a Sensor Network and Support Vector Machine Model
2023 |
Faculty of Science
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