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Application of the CUAHSI Hydrologic Information System in the Czech Republic

Jiří Kadlec, Daniel P. Ames, Michal JeníčekDepartment of Physical Geography, Charles University, PragueGeospatial Software Lab, Idaho State University

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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

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Location of CZ – European continental divide

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Water Resources in Czechia - Issues

•Flash Flood, Soil Erosion•Flood Events •Drought Periods•Water Quality Issues

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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

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Increasing demand for hydrologic information

• Recreational Users• Agriculture• Environmental Groups• Communities• Small Businesses• Scientists

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Availability of hydrologic Information

• Very restrictive– Czech Hydrometeorological

Institute– Soil Research Institute

• Less restrictive– Volunteer Observers ( > 300

locations)– Universities– Watershed Authorities

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

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Accessing restricted information – example (raft.cz)

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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

http://his.cuahsi.org

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Implementation of Web Services

• Implement the web methods:– GetSites– GetVariables– GetVariableInfo– GetSiteInfo– GetValues

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Part of web Service Implementation (HS Brdy)

• Uses a Webhosting Service• Blog Engine (upload snow info)

Column Name Column Description

Date Date of Ski Trip

Latitude GPS (WGS 84)

Longitude GPS (WGS 84)

Snow Snow depth

Comments Type of snow; overall conditions

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Web Service Output in WaterML 1.1http://hydrodata.cz/cz_snow/cuahsi_1_1.asmx/GetSiteInfoObject?site=CZSNW:1&authToken=

SOAP andRESTProtocols areBoth supportedIn WaterML 1.1

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Snow depth in HydroDesktop(map of sites)

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Snow depth in HydroDesktop(time series)

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Experimental Watershed Web Service Response (Charles University Prague)

Cummulative Precipitation Graph

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Charles University Prague – Simple Web map application

Hover the mouse over site ..

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•Image available at: •http://hydro.chmi.cz/hpps

•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)

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HIS Data Usage – Drought Analysis• Meteorological drought (mass curve method)

• Hydrological drought (deficit volumes)

-10

0

10

20

30

40

50

60

70

80

90

1.1 11.1

21.1

31.1

10.2

20.2 1.3 11

.321

.331

.310

.420

.430

.410

.520

.530

.5 9.6 19.6

29.6

Date

Sum

Z

Mass curveDrought period

X1

Xnn

X5

X4

X3X2

Yn

Y5

Y4Y3

Y2

Y1

WaterMLService

ECA-DDataset

HydroDesktop

R script for

reading ECA-D

HydroR R drought Processing script

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Hydrologic Drought (Deficit volume)

4

6

8

10

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1.8 15.8 29.8 12.9 26.9 10.10

Date

Dis

char

ge (m

3/s)

LQLimitingdischarg

T - Duration of deficit volume

Deficit volume

Deficit volume

T

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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!

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Thank you for Attention

• www.hydrodesktop.org• http://hydro.natur.cuni.cz• http://hydrodata.cz