Spatial Analysis Study on the Flood Impact of Walanae Cenranae River Area in Soppeng Regency South Sulawesi Province

Zulvyah Faisal, Akhmad Azis, Andi Muhammad Subhan, Sugiarto Badaruddin, Devi Ayu Puspita


Cabenge River is part of the WalanaeCenranae River area in Soppeng Regency. Annually, the area around the Cabenge River gets the most losses from floods, both in terms of facilities and infrastructures. This study aims to map the areas prone to flood and flood risk, based on the field that gets the most significant impact. This study uses a Geographic Information System (GIS) as a tool and ArcGis Software in determining the level of vulnerability and risk of flooding at the study site. This type of research is a combination of mapping (topographic results) and map analysis. The variables used are DEM (Digital Elevation Model) data and flood volume. The data processing technique used is the GIS-based inundation model approach using inundation height (H) based on a comparison between the volume of water (V) in inundated areas and the volume of water (Q) of flood sources. The results showed that Lilirilau District was in the high hazard class with an area of 100 km2 and had the biggest impact, while in Liliriaja District, the area that was in a high hazard class was 34 km2 and Ganra District was 21 km2.


Flood; Map; Geographic Information System

Full Text:



N. N. Kourgialas and G. P. Karatzas, ‘A flood risk decision making approach for Mediterranean tree crops using GIS; climate change effects and flood-tolerant species’, Environ. Sci. Policy, vol. 63, pp. 132–142, 2016.

E. J. Plate, ‘Flood risk and flood management’, J. Hydrol., vol. 267, no. 1–2, pp. 2–11, 2002.

Arfina, Paharuddin, and Sakka, ‘Analisis Spasial Untuk Menentukan Zona Risiko Bencana Banjir Bandang (Studi Kasus Kabupaten Pangkep) (Spatial Analysis to Determine Flood Disaster Risk Zones (Case Study of Pangkep Regency)), Pros. Semin. Nas. Geofis. 2014, no. September, pp. 149–154, 2014.

N. S. Cunha, M. R. Magalhães, T. Domingos, M. M. Abreu, and C. Küpfer, ‘The land morphology approach to flood risk mapping: An application to Portugal’, J. Environ. Manage., vol. 193, pp. 172–187, 2017.

N. dan I. Suprayogi, ‘Pemetaan kawasan rentan banjir dalam kota pekanbaru menggunakan perangkat sistem informasi geografis (Mapping flood-prone areas in the city of Pekanbaru using geographic information systems)’, Univ. Riau, pp. 978–979, 2015.

S. Evans, N. Gunn, and D. Williams, ‘Use of GIS in Flood Risk Mapping’, … Semin. GIS ( …, pp. 1–12, 2007.

R. Jacinto, N. Grosso, E. Reis, L. Dias, F. D. Santos, and P. Garrett, ‘Continental Portuguese Territory Flood Susceptibility Index - Contribution to a vulnerability index’, Nat. Hazards Earth Syst. Sci., vol. 15, no. 8, pp. 1907–1919, 2015.

B. Pradhan, ‘Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing’, J. Spat. Hydrol., vol. 9, no. 2, pp. 1–18, 2009.

S. Abuzied, M. Yuan, S. Ibrahim, M. Kaiser, and T. Saleem, ‘Geospatial risk assessment of flash floods in Nuweiba area, Egypt’, J. Arid Environ., vol. 133, pp. 54–72, 2016.

N. N. Kourgialas and G. P. Karatzas, ‘Gestion des inondations et méthode de modélisation sous SIG pour évaluer les zones d’aléa inondation-une étude de cas’, Hydrol. Sci. J., vol. 56, no. 2, pp. 212–225, 2011.

H. Ozdemir and D. Bird, ‘Evaluation of morphometric parameters of drainage networks derived from topographic maps and DEM in point of floods’, Environ. Geol., vol. 56, no. 7, pp. 1405–1415, 2009.

L. Marchi, M. Borga, E. Preciso, and E. Gaume, ‘Characterisation of selected extreme flash floods in Europe and implications for flood risk management’, J. Hydrol., vol. 394, no. 1–2, pp. 118–133, 2010.

A. M. Youssef, B. Pradhan, and A. M. Hassan, ‘Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery’, Environ. Earth Sci., vol. 62, no. 3, pp. 611–623, 2011. .

V. Meyer, S. Scheuer, and D. Haase, ‘A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany’, Nat. Hazards, vol. 48, no. 1, pp. 17–39, 2009.

J. Zhu, ‘GIS based urban flood inundation modeling’, Proc. - 2010 2nd WRI Glob. Congr. Intell. Syst. GCIS 2010, vol. 2, pp. 140–143, 2010.

P. Tran, R. Shaw, G. Chantry, and J. Norton, ‘GIS and local knowledge in disaster management: A case study of flood risk mapping in Viet Nam’, Disasters, vol. 33, no. 1, pp. 152–169, 2009.

E. Todini, ‘An operational decision support system for flood risk mapping, forecasting and management’, Urban Water, vol. 1, no. 2, pp. 131–143, 1999.

BNPB, ‘Peraturan Kerja Badan Nasional Penanggulangan Bencana No.02 Tentang Pedoman Umum Pengkajian Resiko Bencana (National Disaster Management Agency Work Regulation No.02 Regarding General Guidelines for Disaster Risk Assessment), BNPB, Jakarta’. 2012.

J. Neal, C. Keef, P. Bates, K. Beven, and D. Leedal, ‘Probabilistic flood risk mapping including spatial dependence’, Hydrol. Process., vol. 27, no. 9, pp. 1349–1363, 2013.

S. L. Munajati, R. Anadra, and A. Aprianto, ‘Penentuan Sentra Peta di Wilayah Jakarta dengan Menggunakan Sistem Informasi Geografis (Determination of Map Centers in the Jakarta Area by Using Geographic Information Systems)’, Globe, vol. 12, no. 1, pp. 68–81, 2010.

Y. O. Ouma and R. Tateishi, ‘Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: Methodological overview and case study assessment’, Water (Switzerland), vol. 6, no. 6, pp. 1515–1545, 2014.



  • There are currently no refbacks.

Publisher by:

Politeknik Negeri Ujung Pandang
Kampus 1 Gedung Administrasi Lantai II
Jalan Perintis Kemerdekaan KM.10 Tamalanrea
Makassar 90245

INTEK Indexed by:


 Member of :

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 View My Stats