The Integrated Spatial Assessment of The Flood Hazard Using AHP-GIS: The Case Study of Gorontalo Regency

https://doi.org/10.22146/ijg.59999

Muhammad Ramdhan Olii(1*), Aleks Olii(2), Ririn Pakaya(3)

(1) Department of Civil Engineering, Universitas Gorontalo, Limboto, Gorontalo, Indonesia
(2) Department of Civil Engineering, Universitas Gorontalo, Limboto, Gorontalo, Indonesia
(3) Department of Public Health, Universitas Gorontalo, Limboto, Gorontalo, Indonesia
(*) Corresponding Author

Abstract


Mapping of potential flood hazards is an important element in ensuring proper planning of development and implementing flood disaster mitigation efforts for flooded areas. Therefore, this study was conducted to assess the regional-scale flood hazard areas in Gorontalo District using an AHP-GIS integration technique with the focus on factors such as annual rainfall, elevation, slope, soil type, distance to the water bodies, and land-use. The flood hazard was divided into five classes, ranging from very low to very high, and 13.61% of the total area in Gorontalo Regency is classified as either high or very high. Moreover, the distribution of the hazard was verified and 65 events were recorded to have a level of 90.7% and this indicates the model is reliable to assess flood hazard. The results showed GIS-AHP integration is a promising method to accurately predict flood-hazard areas, especially in those with limited data.


Keywords


Analytic Hierarchy Process; Geographical Information System; Flood Risk; Gorontalo Regency

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References

Ajin, R. S., Krishnamurthy, R. R., Jayaprakash, M., & Vinod, P. G. (2013). Flood hazard assessment of Vamanapuram River Basin, Kerala, India: An approach using Remote Sensing & GIS techniques. Advances in Applied Science Research, 4(3), 263–274.

Bathrellos, G. D., Skilodimou, H. D., Chousianitis, K., Youssef, A. M., & Pradhan, B. (2017). Suitability estimation for urban development using multi-hazard assessment map. Science of the Total Environment, 575, 119–134. https://doi.org/10.1016/j.scitotenv.2016.10.025

Bhatt, G. D., Sinha, K., Deka, P. K., & Kumar, A. (2014). Flood Hazard and Risk Assessment in Chamoli District, Uttarakhand Using Satellite Remote Sensing and GIS Techniques. International Journal of Innovative Research in Science, Engineering and Technology, 03(08), 15348–15356. https://doi.org/10.15680/ijirset.2014.0308039

Büchele, B., Kreibich, H., Kron, A., Thieken, A., Ihringer, J., Oberle, P., Merz, B., & Nestmann, F. (2006). Flood-risk mapping: Contributions towards an enhanced assessment of extreme events and associated risks. Natural Hazards and Earth System Sciences, 6(4), 483–503. https://doi.org/10.5194/nhess-6-485-2006

Cabrera, J. S., & Lee, H. S. (2020). Flood risk assessment for Davao Oriental in the Philippines using geographic information system-based multi-criteria analysis and the maximum entropy model. Flood Risk Manajement, 13, 1–17. https://doi.org/10.1111/jfr3.12607

Carr, M. H., & Zwick, P. D. (2007). Smart Land-Use Analysis: The LUCIS Model. Land Use Conflict Identification Strategy. Press, ESRI.

Chang, K. (2010). Introduction to Geographic Information Systems (5th Editio). McGraw Hill.

Danumah, J. H., Odai, S. N., Saley, B. M., Szarzynski, J., Thiel, M., Kwaku, A., Kouame, F. K., & Akpa, L. Y. (2016). Flood risk assessment and mapping in Abidjan district using multi-criteria analysis ( AHP ) model and geoinformation techniques , ( cote d ’ ivoire ). Geoenvironmental Disasters, 3(10), 1–13. https://doi.org/10.1186/s40677-016-0044-y

Djordjević, S., Vojinović, Z., Dawson, R., & Savić, D. A. (2014). Uncertainties in flood modelling in urban areas. In Applied Uncertainty Analysis for Flood Risk Management (pp. 297–334). Imperial. https://doi.org/10.1142/9781848162716_0012

Ebaid, H. M., Farag, H. A., & El Falaky, A. A. (2016). Using GIS and Remote Sensing Approaches to Delineate Potential Areas for Runoff Management Applications in Egypt. International Journal of Environmental Science and Engineering, 7, 85–93.

Fernández, D. S., & Lutz, M. A. (2010). Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis. Engineering Geology, 111(1–4), 90–98. https://doi.org/10.1016/j.enggeo.2009.12.006

Foudi, S., Osés-Eraso, N., & Tamayo, I. (2015). Integrated spatial flood risk assessment: The case of Zaragoza. Land Use Policy, 42, 278–292. https://doi.org/10.1016/j.landusepol.2014.08.002

Gigović, L., Pamučar, D., Bajić, Z., & Drobnjak, S. (2017). Application of GIS-interval rough AHP methodology for flood hazard mapping in Urban areas. Water (Switzerland), 9(6), 1–26. https://doi.org/10.3390/w9060360

Kazakis, N., Kougias, I., & Patsialis, T. (2015). Assessment of Flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process : Application in Rhodope – Evros region , Greece. Science of the Total Environment, 538, 555–563. https://doi.org/10.1016/j.scitotenv.2015.08.055

Kim, B. S., & Kim, H. S. (2014). Evaluation of flash flood severity in Korea using the modified flash flood index (MFFI). Journal of Flood Risk Management, 7(4), 344–356. https://doi.org/10.1111/jfr3.12057

Lawal, D. U., Matori, A. N., Hashim, A. M., Yusof, K. W., & Chandio, I. A. (2012). Detecting Flood Susceptible Areas Using GIS-based Analytic Hierarchy Process. Paper Presented at the 2012 International Conference on Future Environment and Energy IPCBEE., 28, 1–5.

Lee, S., Lee, S., Lee, M. J., & Jung, H. S. (2018). Spatial assessment of urban flood susceptibility using data mining and geographic information system (GIS) tools. Sustainability, 10, 1–19. https://doi.org/10.3390/su10030648

Paquette, J., & Lowry, J. (2012). Flood hazard modelling and risk assessment in the Nadi River Basin, Fiji, using GIS and MCDA. The South Pacific Journal of Natural and Applied Sciences, 30(1), 33–43. https://doi.org/10.1071/sp12003

Prasad, A. S., Pandey, B. W., Leimgruber, W., & Kunwar, R. M. (2016). Mountain hazard susceptibility and livelihood security in the upper catchment area of the river Beas, Kullu Valley, Himachal Pradesh, India. Geoenvironmental Disasters, 3(1), 1–17. https://doi.org/10.1186/s40677-016-0037-x

Rahmati, O., Zeinivand, H., & Besharat, M. (2016). Flood hazard zoning in Yasooj region , Iran , using GIS and multi-criteria decision analysis. Geomatics, Natural Hazards and Risk, 7(3)(19 May 2015), 1000–1017. https://doi.org/10.1080/19475705.2015.1045043

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal Services Sciences, 1(1), 83–98. https://doi.org/10.1504/IJSSCI.2008.017590

Siddayao, G. P., Valdez, S. E., & Fernandez, P. L. (2014). Analytic Hierarchy Process (AHP) in Spatial Modeling for Floodplain Risk Assessment. International Journal of Machine Learning and Computing, 4(5), 450–457. https://doi.org/10.7763/ijmlc.2014.v4.453

Stefanidis, S., & Stathis, D. (2013). Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Natural Hazards, 68(2), 569–585. https://doi.org/10.1007/s11069-013-0639-5

Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2013). Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. Journal of Hydrology, 504, 69–79. https://doi.org/10.1016/j.jhydrol.2013.09.034



DOI: https://doi.org/10.22146/ijg.59999

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