Presentation by Mr. Irfan Sudono, MT Research Center for Water Resources – Ministry of Public Works and Housing (Indonesia) at the Seminar Hydro Software to support policy development and real-time decision making, during the Deltares Software Days South-East Asia 2019. Wednesday, 27 November 2019, Bangkok.
Seasonal drought forecasting in Indonesia using hydro software
1. Seasonal drought forecasting using
state-of-the-art hydro software in
Indonesia
Irfan Sudono
(Research Centre for Water Resources / PUSAIR, Indonesia)
Arnejan Van Loenen
(Deltares, The Netherlands)
2. Challenges in Indonesia
Why ?
1. Population increases, lifestyle changes, the need for water increases
2. Urbanization (ground water extraction, deforestation, increasing water demand
3. Environmental damage, (causing DF, erosion, sedimentation, and pollution)
4. Climate Change
Report from the IPCC (Intergovernmental Panel on Climate Change) in 2013.Confirming that
in the future at the beginning of the 21st century (2016-2035) and the end of the 21st
century (2081-2100), on a global scale the climate projection will get worse
1. The incidence of heavy rain (both in terms of frequency, intensity, or amount) will
increase with the category "very likely"
2. While the intensity and duration of drought are in the category of "medium
confidence"
3. INTRODUCTION
To tackle Indonesia’s challenges on Water Resources Management, it is essential that all existing water
data is available for the stakeholders.
Currently the data, are spread over the institutes and organisations that are involved in integrated
water management.
PusAir and BMKG took the initiative to set-up a joint Pusat Studi Hydroinformatics (PSH, or Water
Centre of Excellence) which it should form the platform that connects most of the activities and
disseminates the results to the stakeholders.
The PSH is supported by a dedicated server system, running the software, tools, databases and
interfaces that are produced within the whole JCP program.
Delft-FEWS hydrological model and data integration platform used as the platform software to
accommodate all functionalities required for the SI-PSH.
PusatStudiHydroinformatics
4. 1
Database of Hydrology
Information of Water Aavailability
Information of Flood Potential
Information of hydrological Drought
Internet Based
User Publik
Web Server
(Front End)
Server Back End
SYSTEM INFORMATION OF PUSAT STUDI HYDROINFORMATICS
(using the Delft-FEWS Platform 2018.02)
Operator Client
Master Controller
Delft-FEWS Shell
JMS
Admin
InterfaceConfigurator
Manager
Database
Authorized
Institution
5. IMPLEMENTATION
Figure of Conceptual design of the layers of the SI-PSH
Hardware layer
OS Layer
Data Layer
Application Layer
Services Layer
FTP Server Relational database File-based database
Satgas Banjir Satgas
Kekeringan
National hydro
database
Map-based data
portal
Delft-FEWS webservice WFS/WMS
Inflow
forecasts
Distributed nationwide
hydrological models
6. Installation, setting up and integration
IMPLEMENTATION
Training
Delft-FEWS
System
Functional and
Technical
design
Implementatio
n of the Data-
Layer
Set-up of
the basis
configuration
Integration of:
National
Hydrological
Database, Satgas
Kekeringan, Satgas
Banjir, Water
Availability
7. Service layer of the SI-PSH
IMPLEMENTATION
National Hydrological
Database
Satellite rainfall product
Rainfall data
Flood forecasts
Hydrological Drought
Forecasts
Water Availability
Development of the
Dissemination Layer
12. Functionality:
by overlaying static data (socio
economic, flood hazard map) and
dynamical data (satellite: TRMM
and ECMWF) to produce flood
early warning map.
Objective:
to inform flood potential to
stakeholders related to water
resources (BBWS/BWS/Dinas) in
the context of securing
infrastructure from flood hazards
Satgas Banjir
13. Nation Water Weather and Climate Information System
7 wflow hydrological models covering the archipelago, 500 meter resolution
14. WORKFLOW OF DROUGHT
EARLY WARNING SYSTEM
This system was developed also for assessment
water availability in irrigation weir
15. INPUT
DATA
Static Data
1) DEM Geotiff WGS84 (Source : SRTM NASA resolution 90 m)
2) Landuse Geotiff WGS84 (BIG )
3) Soil type Geotiff WGS84 (Source : FAO, resolution 1:5.000.000)
DEM Map
We have reclassify landuse map from the existing
17 categories into 6 general classes of landuse
We have reclassify soil map from 139
soil type into 8 general soil classes as
follows.
16. Dynamic Data
• TRMM/GFS precipitation imported in Delft-FEWS
• CIGAR
• Global Prediction ECMWF
INPUT
DATA
22. Water Availability
Objective:
to inform Natural
Discharge on river
segments anywhere.
Water availability uses
hydrological model
wflow to determine
discharge.
24. Satgas Kekeringan
Drought Unit Team
Objective:
to inform Hydrological
Drought Forecasts to
stakeholders related to
water resources
(BBWS/BWS/Dinas)
Satgas kekeringan based
on water availability by
determining the
statistical value of water
availability data
(Q80, Q90, Q95)
25. WEBSITE of PSH
❖ Stakeholders/users can see the data and information on web portal but can’t download the data.
❖ Only certain users and administrator can download data.
❖ For users who need the data or more information, they can contact the officer directly or can fill out a
data request form.
✓ The address: The PSH website still under development (on localhost) and is expected to be online and
publicly accessible later this year (2019).
✓ The planning: to facilitate water resources data and information on R&D results.
✓ Another function is to facilitate data from SI-PSH.