Rasana Pratimapakorn

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Rasana Pratimapakorn Pipat Ruangngam Royal
Irrigation Department Thailand Email
rasana_at_mail.rid.go.th Tel. [phone]
Thailand http//www.rid.go.th http//gis24.rid.go.
th
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Introduction
There are so many problems in water
management especially lack of suitable data
(adequate, reliable, on time and in time data) so
the people who concern with disaster situation
such as flood, drought etc. hard to make
decision. So they need the DSS-Decision Support
System for make it clear to operate some thing
about water resource in time, the system must be
able to collect almost all essential present data
, easy to use by manager/people and easy to
access in any time and anywhere and for anyone
The way to approach the solution to this
problem is implement DSS with dynamic and updated
information on global network that is Internet
in form of GIS and RS plus Database link
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GOAL
1.Flood Monitoring 2.Drought
Monitoring 3.Reservoir Operation 4.Water
balance in River basin and Irrigated area 5.DSS
for Disaster operation 6.DSS for Projection
planning 7.Forecasting on Flood, Drought and
other activities about water
management
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Methodology (1)
The essential input for establishing this
DSS 1.GIS,Data Layers 2.Web DataBase , Data
Communication and Cooperation among people in
concern 3.RS,Satellite images 4.Web
Publication
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Modeling
Monitoring
Forecasting
WATER DEMAND
Reservoir Operation
Warning Systems
Basin Planning
WATER AVAILABILITY
Monitoring
Forecasting
Modeling
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WATER AVAILABILITY
Modeled Streamflow
OUTPUT VALABLES
RIVER HYDRAULICS
HYDROLOGY (RAINFALL-RUNOFF MODEL)
MODELING
GROUNDWATER
INPUT VALABLES
STREAMFLOW
TIDE
RAINFALL
SOIL MOISTURE
BASIN CHARAC- TERISTICS
RIVER NETWORK
RESERVOIR LOCATION
TOPOGRAPHY
LAND USE
Indicates a threshold variable which is
compared against forecasted values and which
features triggers for additional modeling and/or
initiation of warning systems.

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WATER DEMAND
OUTPUT VALABLES
Domestic Requirements
Industry Requirements
Irrigation Requirements
River Flow Requirements
AGRICULTURE DEMAND MODEL
RIVER WATER QUALITY MODEL
MODELING
Agricultural Water Use Crop Growth Evapotranspirat
ion Land use
Serface Water Quality Paramiters
Domestic Water Use
Industry Water Use
INPUT VALABLES
Rainfall
Population
Industry
Agriculture
Topography
BASIN CHARAC- TERISTICS
Indicates a threshold variable which is
compared against forecasted values and which
features triggers for additional modeling and/or
initiation of warning systems.

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WARNING SYSTEMS
WATER QUALITY WARNING
FLOOD WARNING
DROUGHT WARNING
OUTPUT VALABLES
FLOOD RISK
DROUGHT RISK
RIVER WATER QUALITY MODEL
MODELING
- WATER QUALITY MONITORING
- MEASURED AND FORECAST RESERVOIR LEVEL
- SOIL MOISTURE MONITORING
- EVAPORATION MONITORING
- STREAMFLOW MONITORING
- MODELLED STREAMFLOW
- MODELLED STREAMFLOW
INPUT VALABLES
- MODELLED STREAMFLOW
- MONITORED STREAMFLOW
- MONITORED STREAMFLOW
- TIDE MONITORING
BASIN CHARAC- TERISTICS
River Network
Topography
Land Use
Reservoir Location
Indicates a threshold variable which is
compared against forecasted values and which
features triggers for additional modeling and/or
initiation of warning systems.

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Methodology (2)
1.GIS RID use Vector map from RIDs
GIS project, select only layers needed for flood
monitoring system 1.Reservoir, Irrigated area,
Irrigation canal 2.Hydrology station for
locating the water level ,Volume, rain fall
etc. 3.Some administrative map only amphoe and
province layer for locating the flood 4.Other
river , stream etc.
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Methodology (3)
2.Web Base , Data Communication and
Cooperation RID use Web base by writing ASP on
Windows 2000 and use .DBF, .MDB format for
storing data base,for communicating the database
with ASP ,RID use ODBC32. This way is so simple
but powerful enough for this year situation but
for long run it need to seek the better way to
manage more complex data. Data on this system
will input by each Hydro station officer every
day then it will joint together at Office of
Hydrology and water management in BKK for
Database and generate daily curve and daily cross
section data
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Methodology (4)
3.RS RID use both data from the local
area and data from NOAA AVHRR to describe flood
area , and for historical data RID show the
maximum flood area in the year 1983 1995 1996 for
guide the possibility of flood area in the
present.
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Methodology (5)
4.Web Publication RID use Mapserver
Version 3.3 (Minisota Univ.) and ArcIMS for the
GIS Server application , in this present is
ArcIMS version The way to publish the DSS web
are 1.write AXL for linking vector layers ,
image layers and compose them to be the web
page 2. Write HTML, JAVA for linking Attribute
of each vector layers to web base , Graph and
images from other servers.
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Information Networking
Hydrological Data
ASP application
Internet
Water Level Discharge
Ofiicer from each hydro. Station / Division
Image data base
Rain fall Statistic
GIS Map server -Internet server
(http//gis24.rid.go.th)
RS Computer
Data base
Vector Map Attribute
Vector Map
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Benefit (1)
1.This system can be the collection of
essential for Flood Monitoring and Drought
Monitoring 2.The Hydrology officer may input
the daily data only one time and then the data it
will be send to database at the Central office
for all user , and at the same time it will be
calculated and generated to all kind of reports
(daily , monthly, yearly etc.) 3.When we know
the water level in the river basin it will be
easier for officer to do Reservoir Operation
when and How much water will be spill out from
reservoir etc.
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Benefit (2)
4.In dry season officer can use this
system for do Water balance in River basin and
Irrigated area where and when and how much
water will be supply etc. 5.Decision Support
System for Disaster operation this can apply
for warning system and locate the damaged
area. 6. Decision Support System for Projection
planning where and why to make some project
flood protection dyke and reservoir etc. 7. The
basic essential for other activities about water
usage and management.
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Operating area
1.Water level from 98 key hydrology
station cover 25 main river basin of Thailand
(Daily) 2.Rain fall data only 8 main river basin
in Great Chao Praya river basin (Daily) 3.Flood
risk area from NOAA flooded area map in 1983 1995
1996 only 8 main river basin in Great Chao Praya
river basin Ping, Wang, Yom, Nan, Sakrekrang,
Tachin, Pasak, Chao Praya
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Conclusion
This system proposed to be decision
support system for water management as it can be
powerful system it may need not only the
technology and hi-tech equipment but the
participation of all officer and data owner who
may input the reliable, in time, on time daily
data and most of all the support from the
decision makers who may support and use this
system Now this system use only small personal
computer with windows2000 and network line at 64
kbps so it hard to develop much more than the
capability of that PC and network line, so the
possibility to develop it to be work more
complicate will depend on the developing those
material.
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Problem
1.Hackers and Virus that often try to
attack the server so we must spend so much time
to protect it. 2.Standard of data from
difference Department, for now this system use
data from 98 stations cover all country ,indeed
we have thousands of station but some use the
difference standard such as water level some use
MSL. Some not use MSL. ,it may have to make the
standard of the data first. 3.Lack of equipment
for develop the more complicate applications.
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