CZ | EN
Katedra hydromeliorací a krajinného inženýrství

CTU in Prague - Faculty of Civil Engineering
The Department of Landscape Water Conservation


GISday 2022
(9.11.2022 v 10:30)

23.11. pořádáme GISday - přijďte si poslechnout zajímavé přednášky!


Setkání kateder
(17.10.2022 v 11:02)

Setkání vodařských kateder Prahy, Brna a Bratislavy zde.


Adam Vokurka v ČT24
(25.08.2022 v 14:45)

Rozhovor s Adamem Vokurkou k příležitosti výročí povodní z roku 2002 o možnostech protipovodňových opatření a staveb v záplavových oblastech (čas 21:50) zde.


Reportáž v 90' ČT24
(9.08.2022 v 13:29)

K příležitosti výročí povodní jsme byli součástí reportáže v 90' ČT24 "Povodně 2002: příčiny". Demonstrativní experiment pro Českou televizi začíná v 10:16. Celá reportáž je ke shlédnutí zde.


Nabídka práce
(4.08.2022 v 10:46)

Nabídka práce pro studenty oboru V a Z zde.


O programu AKTION
(4.08.2022 v 10:45)

S Tomášem Dostálem o 
spolupráci s Rakouskou univerzitou
BOKU ve Vídni zde.


Our researchers in media
(4.08.2022 v 10:45)

 

Interviews here

 


SMODERP Line
(4.08.2022 v 10:45)

V rámci projektu TAČR, byl vyvořen online výpočetní nástroj SMODERP Line pro posouzení erozního ohrožení a návrh vhodného plošného technického opatření. Tento nástroj je v souladu s certifikovanou metodikou "Ochrana umělých svahů před erozí a stabilizace povrchové vrstvy", která vznikla v rámci řešení tohto projektu a byla certifikována Ministerstvem dopravy.


Calendar
(19.10.2022 v 14:28)

Konference Hydrologie, GIS a ŽP (23.-24.6.2021)

3nd Workshop on soil physics and landscape hydrology - Desná 2021 (6-8.10.2021)

Konference Krajina a voda 2021 (4.-5.11.2021)

Snow resources and the early prediction of hydrological drought in mountainous streams

Code: SREP-DROUGHT
Department's Principal Investigator: doc. Ing. Martin Šanda, Ph.D.
Co-operation: Swiss Federal Institute for Forest, Snow, and Ladscape Research, Birmensdorf, Switzerland
M. Nodia Institute of Geophysics, Tbilisi, Georgia

Start: 2014-09-01
End: 2017-08-31
Research focus: A Tri-National research effort will evaluate how summer low flows and droughts are affected by winter snowpack in three catchments Alpbach (Prealps, central Switzerland), Kamenice (Jizera Mountains, northern Czech Republic), and Gudjaretis-Tskali (Little Caucasus, central Georgia). Two GIS-based rainfall-runoff models will simulate more than 10 years of runoff in streams by means of measured rain- and snowfall, and other meteorological variables. The models use information on the geographical settings of the catchments and knowledge of the hydrological processes that transform rainfall into streamflow, in particular between spring snowmelt and summer droughts. Thesy include snow accumulation and melt, evapotranspiration, subsurface storage from spring recharge until the summer outflow, and will be studied by means of environmental isotopes 18O and 2H. The knowledge about the isotopic composition of the different water sources will allow to identify the flowpaths and estimate the residence time of snow meltwater in the subsurface and its contribution to the stream. The application of the models in different nested or neighbouring catchments will explore their potential for further development and allow for a better early prediction of low-flow periods in various mountainous zones across Europe.

Research team members at the departement:

The first achievements show a substantial potential of the data sets of the three catchments for application of different methods. Isotope data of Georgia and Czech Republic reveal that the catchments show significant differences in isotopic composition of water types contributing to streamflow. This will allow for the quantification of the runoff components and therefore for a better parameterization of the rainfall-runoff models.

Considering the snow water resources, the first approach was applied to represent low flows within the study catchments in Switzerland only considering SWE. Additional information about isotopic composition and residence times of the runoff components will give further knowledge about all water sources contributing to low-flow discharge.

Synchronizing the sampling methodology and collection and pre-processing of spatial and temporal datasets with respect to different background conditions in the project countries will substantially enhance the experiencewith the application of the models and improve their performance in different geographical settings.