1)

Background, targeted issues and objectives

Annual flood is occurred during rainy season and nowadays also during droughtseason, due to Indonesia lay on the monsoon climate zone. Regarding to that,information system is required to inventory and process data about flood occurrenceas information for decision-maker to take the right action in managing the flood.
Indonesia has tried to implement GIS to build database, process data and floodinformation, in order to give priority in handling the problems that occurred from theflood.
One of the objectives that can be gained from the GIS implementation is theinformation types and communication system that can be used by the relatedInstitutes to collect and communicate the flood occurrence to the regional concernWith the existing of database system about flood data and information, collectingfrom all Indonesia area, the decision-maker can make the priority of managing floodin Indonesia. The priorities are made mainly to allocate financial and empowerequipment and human resources.

basin characteristicsMamberamo river basin with the area of 78.992 km2, located at North Province ofPapua, is no doubt a very rich natural resources with high potential to be developedinto main economic generator in this particular province, as well Indonesia in general.
This river basin located between 136’ 21’’ through 140’49’’ East Longitude and 1’27’’through 4’32’’ South Longitude, as can be seen in figure 2. And this river basin also isthe second largest river basin ranked after Musi River in Sumatera, nearly half wide ofJava Island.
climate RegimeAnnual rainfall on this area range from 3500 to 5000 mm, which made this area giftedwith invaluable, abundant, natural resources energy, as long the rain still keep onfalling. Topographical conditon of Mamberamo River Basin most of upstream andmiddle part dominated by tropical forest mountain, while it’s downstream is dominatedby swamped lowland. Mamberamo River Basin water resources is hasn’t yet welldeveloped. Average annual rainfall occurred between 1.877 mm (Waris Sta.) to 5.605mm (Apalapsili Sta. in Jayawijaya’s mountain). Average temperature on the seashorerange between 260C to 270C, while on the mountain its decline 0.50C in average foreach 100 m height above msl. The length of sunshine duration from 8.00 am to 4.00 p.m,according data from Climatological Station of Moker, Biak and Wamena. The humidityvaried from 77% to 90% (Sentani Sta.)topographical featureMamberamo river is a joint river from two tributries; Rouffaer River which take itsupstream from south side and Idenburg River which take its upstream to East Side up toPapua New Guinea. The longest river length is around 932,8 km from its upstreamheight at around 5,000 m above msl. Mamberamo River Basin consist of 3 SubCatchment ; namely Idenburg, Rouffaer and Mamberamo Downstream catchmentsand flows into Pacific Ocean. Its east side is part of Papua New Guinea; therefore thisriver is categorized into what so called trans-boundary river basin. The length ofMamberamo River Basin main’s river is 1.020 km2 if one measured it from the Sabuaercatchment which originated from Jayawijaya Mountain from ± 5.030 m above msl toPacific Ocean. (See Fig.2 )dominant land use and soil type,Most of upstream and middle part of Mamberamo River Basin dominated by mountaintopographic with tropical forest, while it’s downstream is dominated by swampedlowland. Utilitation of water resources of this river is hasn’t yet well developed.
socio-economic informationBased on PT. PLN and Nippon Koei Co.(1983 it is reported that rate of river dischargereach 5500 m3 per second, which able to produce 20.000 Megawatt electricityenergies if one unite all of this magnificent potential together. Mamberamo river is oneof river that produce crocodile farm, which its trade centre is directed to Jayapura.
Crocodile farm itself can be found in three area ; Jayapura, Sorong and Merauke,which made one of main export commodity of Indonesian Government.

2) Observation systemThe Hydrological data availability of Mamberamo River Basin is very limited,currently only supported by few climate and rain fall stations around outside of riverbasin. Climatological station is available in Jayapura the capital city of Papuaprovince. There is fifteen Rainfall station in Jayapura Regency and seven inJayawijaya. Required gauging stations instalation and streamflow measurement.
3) Models, GIS, Data Integration System, Prediction SystemThis project demonstration will applied Hydrological Models conducted the rainfalland run-off correlationship such as Digital Elevation Model ( DEM ), focusing the usedof parameters by integrating basin characteristics with climate condition. This modelwill describe the correlation between climate prediction and flow forecasting,especially for flood event condition. Topographic map and rainfall data is nowavailable on the GIS.
4) Schedule1st year, Setting up Models and data integration systems.
2nd year, Capacity Building.
3rd year, Models Application.

Data IntegrationNo

Nama Data

Jenis Data

Instansi1

DEM

Peta ; Skala 1:25000

Bakosurtanal

2

Breakline

Peta;Peta; Skala 1:25000

Bakosurtanal

3

Landuse(Lama,existing, rencana)rencana)

Peta;Skala 1:25000

Pemda Kab.Semarang

4

Soil / Tanah

Peta;Peta; Skala 1:25000

Pemda

5

Hidrogeologi

Peta;Skala 1:25000

Hidrogeologi/Dep.
Hidrogeologi/Dep.
Tambang6Jaringan Jalan danKotaKota-kota (Kec.,Kec., Kab.
Kab.
Dan Prop.)BatasAdministrasi(Kec.,Kec., Kab.,Kab., Prop.)

Peta;Peta; Skala 1:25000

Bakosurtanal

Peta;Peta; Skala 1:25000

Bakosurtanal

8

Jaringan Sungai

Peta;Peta; Skla 1:25000

Bakosurtanal

9

Waduk,Danau,Waduk,Danau,Bendungdantampungan lainnya

Peta;Skala 1:25000

Bakosurtanal/PDSABakosurtanal/PDSA

10Genangan Banjir

Peta;Peta; Skala 1:25000

PDSA

11

Titik Pepompaan AirTanahPeta;Peta; Skala 1:25000

P2AT/PDAM/Pemda

12

Hujan,Hujan, Debit, Iklim

Peta & Angka

BMG, PDSA, PLN, dll

13

Demografi(Umur,Umur,Jenis Kelamin,Kelamin, TingkatPendapatan dll.)dll.)

Peta & Angka

Pemda

14

AktivitasEkonomi(Industri,Industri, Hotel, dll)dll)

Peta & Angka

Dinas Industri

7KeteranganHydrological ModelRainfall-Runoff Relationuse of satellite dataIntegration and use of earth observation data

RainfallSetting up Models• Selection of Model type
• DataBasinCharacteristics• rainfall• groundwater• clouds• temperature• land cover• elevation• infrastructures• Validation

Run-off

In-situ observationRiver management

Prediction SystemRainfall Estimation• From satellite data

Rainfall• From numerical simulation and insitu observations

Use space information for realtime flood forecast.

BasinCharacteristics

Run-off• Incorporating dynamic informationfor correction or improvement, stateof infrastructure, to improvepredictions.

Flood Forecast