Application of the CUAHSI Hydrologic Information System in the Czech Republic Jiří Kadlec, Daniel P. Ames, Michal Jeníček Department of Physical Geography,

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Presentation transcript:

Application of the CUAHSI Hydrologic Information System in the Czech Republic Jiří Kadlec, Daniel P. Ames, Michal Jeníček Department of Physical Geography, Charles University, Prague Geospatial Software Lab, Idaho State University 1

Presentation Overview Water Issues in the Czech Republic Hydrologic Simulation Models – Data requirements CUAHSI HIS System Case study - Drought Adaptation in the Czech Republic – challenges Future Prospects Ostravice, Beskydy Vltava, Praha 2

Location of CZ – European continental divide 3

Water Resources in Czechia - Issues Flash Flood, Soil Erosion Flood Events Drought Periods Water Quality Issues 4

Hydrologic Simulation Models WASIM-ETH HSPF SWAT Source: Distributed rainfall-runoff project FREE and / or open source: All require hydrologic (mainly climate) data for validation 5

Increasing demand for hydrologic information Recreational Users Agriculture Environmental Groups Communities Small Businesses Scientists 6

Availability of hydrologic Information Very restrictive – Czech Hydrometeorological Institute – Soil Research Institute Less restrictive – Volunteer Observers ( > 300 locations) – Universities – Watershed Authorities 7

Obtaining Hydro Data in Czechia (get precipitation from my watershed) 8

Accessing restricted information – example (raft.cz) 9

CUAHSI HIS System WaterML: standard format for sharing hydrologic information, focus on metadata WebServices: standard protocol for distributed sharing of information on the web HydroDesktop: open source GIS desktop program for hydrologic data analysis 10

Implementation of Web Services Implement the web methods: – GetSites – GetVariables – GetVariableInfo – GetSiteInfo – GetValues 11

Part of web Service Implementation (HS Brdy) Uses a Webhosting Service Blog Engine (upload snow info) Column NameColumn Description DateDate of Ski Trip LatitudeGPS (WGS 84) LongitudeGPS (WGS 84) SnowSnow depth CommentsType of snow; overall conditions 12

Web Service Output in WaterML NW:1&authToken= SOAP and REST Protocols are Both supported In WaterML

Snow depth in HydroDesktop (map of sites) 14

Snow depth in HydroDesktop (time series) 15

Experimental Watershed Web Service Response (Charles University Prague) Cummulative Precipitation Graph 16

Charles University Prague – Simple Web map application Hover the mouse over site.. 17

Image available at: 15 classes (intervals), log scale Ground station pixels marked as ‘+’ Country boundary pixels Major river pixels Find Ground Station Pixels Estimate precipitation on boundary and river pixels Check precipitation value number pixels Read numbers using ANN (WTA) Reprojection (Gnomonic  UTM) Precipitation web service (under development) 18

HIS Data Usage – Drought Analysis Meteorological drought (mass curve method) Hydrological drought (deficit volumes) WaterML Service ECA-D Dataset Hydro Desktop R script for reading ECA-D HydroRR drought Processing script 19

Hydrologic Drought (Deficit volume) 20

Future Prospects Cooperation of more data providers Fully support OGC Standards – motivates more organization Online payment system for accessing the data Fill gaps using satelite derived products Expand CUAHSI HIS to whole world! 21

Thank you for Attention

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