Application of the CUAHSI Hydrologic Information System in the Czech Republic Jiří Kadlec, Daniel...
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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)
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0
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20
30
40
50
60
70
80
90
1.1
11.1
21.1
31.1
10.2
20.2 1.
311
.321
.331
.310
.420
.430
.410
.520
.530
.5 9.6
19.6
29.6
Date
Su
m 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)
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6
8
10
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1.8 15.8 29.8 12.9 26.9 10.10
Date
Dis
cha
rge
(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