GIS-based multi-criteria decision analysis for retarding basin site selection in Bukidnon, Philippines with pre- and post-retardation analysis

Analou Vicente; Kay Abarquez; Jemima Perodes

doi:10.52751/cmujs.2024.v28i2.4by5wt05

Authors

Analou A. Vicente Central Mindanao University Author
Kay Q. Abarquez Central Mindanao University Author
Jemima R. Perodes Central Mindanao University Author

DOI:

https://doi.org/10.52751/cmujs.2024.v28i2.4by5wt05

Keywords:

Geographic information system, multi-criteria decision analysis, analytical hierarchy process, land suitability, retarding basin

Abstract

This study presents a spatial-based approach to identifying locations for retarding basins and assesses their impact on design discharges in areas prone to riverine flooding. A decision framework integrating multiple criteria, weighted by the analytical hierarchy process (AHP) and generated through geographic information system, is applied in the Taganibong watershed, Bukidnon, Philippines. Criteria such as land use/cover (36%), drainage proximity (27%), watershed slope (20%), infiltration capacity (6%), soil type (6%), and road proximity (5%) are considered. The resulting overlay map delineates areas that are highly suitable (0.67%), moderately suitable (57.76%), suitable (39.58%), and not suitable (2.00%) for retarding basin placement. Three prospective sites were identified based on coherence with suitability and flood inundation maps. HEC-HMS was used to assess the impact of having a retarding basin at these locations on design discharges in the Taganibong Creek. The model gained favorable calibration (NSE: 0.718, RSR: 0.5, PBIAS: -9.1) and validation (NSE: 0.685, RSR: 0.6, PBIAS: -4.85) results. Simulations were performed for different scenarios which produced significant peak discharge reductions (RB1: 75%, RB2: 77%, RB3: 13%) and peak time delays (RB1: 1.5 hours, RB2: 2 hours, RB3: 0.25 hours). RB2 emerges as the most suitable location.

Downloads

Download data is not yet available.

References

Sholihah, Q., Kuncoro, W., Wahyuni, S., Suwandi, S. P., & Feditasari, E. D. (2020). The analysis of the causes of flood disasters and their impacts in the perspective of environmental law. IOP Conference Series. Earth and Environmental Science, 437(1), 012056. https://doi.org/10.1088/1755-1315/437/1/012056

Central Mindanao University. (2012). Annual report 2012.

Ngo, T. T., Yoo, D. G., Lee, Y. S., & Kim, J. H. (2016). Optimization of upstream detention reservoir facilities for downstream flood mitigation in urban areas. Water, 8(7), 290. https://doi.org/10.3390/w8070290

Saragih, D. F., Ahamad, M. S., & Abdullah, R. (2020). Chapter application of geographic information systems (GIS) in the multi criteria site selection of retention pond for urban rainwater management. ResearchGate. https://doi.org/10.1007/978-3-030-32816-0_20

Wang, J., Jing, Y., Zhang, C., & Zhao, J. (2009). Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable & Sustainable Energy Reviews, 13(9), 2263–2278. https://doi.org/10.1016/j.rser.2009.06.021

Malczewski, J. W. (1999). GIS and multi criteria decision analysis. Computers & Geosciences (1st ed., Vol. 26, p. 392).

Malczewski, J., & Rinner, C. (2015). Multicriteria decision analysis in geographic information science. Advances in Geographic Information Science. https://doi.org/10.1007/978-3-540-74757-4

Sisman, S., & Aydınoğlu, A. Ç. (2020). Using GIS-based multi-criteria decision analysis techniques in the smart cities. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIV-4/W3-2020, 383–389.

Chen, Y. (2022). Flood hazard zone mapping incorporating geographic information system (GIS) and multi-criteria analysis (MCA) techniques. Journal of Hydrology, 612, 128268. https://doi.org/10.1016/j.jhydrol.2022.128268

Cabrera, J., & Lee, H. S. (2019). Flood-Prone area assessment using GIS-Based multi-criteria analysis: A case study in Davao Oriental, Philippines.

Darwish, K. (2023). GIS-Based multi-criteria decision analysis for flash flood hazard and risk assessment: A case study of the eastern of Minya area, Egypt. Environmental Sciences Proceedings, 25(87).

Aidinidou, M. T., Kaparis, K., & Georgiou, A. C. (2023). Analysis, prioritization and strategic planning of flood mitigation projects based on sustainability dimensions and a spatial/value AHP-GIS system. Expert Systems With Applications, 211, 118566. https://doi.org/10.1016/j.eswa.2022.118566

Lee, Y., Keum, H., Han, K., & Hong, W. (2020). A hierarchical flood shelter location model for walking evacuation planning. Environmental Hazards, 20(4), 432–455. https://doi.org/10.1080/17477891.2020.1840327

Saragih, D. F., Ahamad, M. S. S., & Abdullah, R. (1970). Application of geographic information systems (GIS) in the multi criteria site selection of retention pond for urban rainwater management. SpringerLink.

Palmate, S. S., & Pandey, A. (2020). Effectiveness of best management practices on dependable flows in a river basin using hydrological SWAT model. In Water science and technology library (pp. 335–348). https://doi.org/10.1007/978-3-030-58051-3_22

Riverson, J., Zhen, J., Shoemaker, L., & Lai, F. (2004). Design of a decision support system for selection and placement of BMPs in urban watersheds. Critical Transitions in Water and Environmental Resources Management. https://doi.org/10.1061/40737(2004)40

Lee, J. G., Selvakumar, A., Alvi, K., Riverson, J., Zhen, J., Shoemaker, L., & Lai, F. (2012). A watershed-scale design optimization model for stormwater best management practices. Environmental Modelling & Software, 37, 6–18. https://doi.org/10.1016/j.envsoft.2012.04.011

National Statistics Office. (1995). Provincial Profile Bukidnon (2nd edition)(ISBN 971-562-497-9)

Bruno, A.G.(2016). Integrating GIS with landuse decision-making: The case of Central Mindanao University, Philippines [Thesis, Central Mindanao University]

Bas, J. L. (2019). A GIS-Based multi-criteria decision framework for selecting suitable locations of sustainable flood retention basins at the watershed scale: The case of the upper subcatchments of the Butuanon river watershed [Thesis, University of San Carlos].

Saaty, T. L. (1988). What is the analytic hierarchy process? 1988. doi:10.1007/978-3-642-83555-1_5.

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 15, pp 234-281.

Thome, A. C. G. (2012). SVM classifiers – Concepts and applications to character recognition. In InTech eBooks. https://doi.org/10.5772/52009

HEC-HMS User’s Manual. (n.d.). https://www.hec.usace.army.mil/confluence/hmsdocs/hmsum/latest

Abeysingha, N., Singh, M., Sehgal, V. K., & Srinivasan, R. (2015). Assessment of water yield and evapotranspiration over 1985 to 2010 in the Gomti river basin in India using. . . ResearchGate. https://www.researchgate.net/publication/304659569_Assessment_of_water_yield_and_evapotranspiration_over_1985_to_2010_in_the_Gomti_River_basin_in_India_using_the_SWAT_model

Saaty, T. L. (1980). The analytical hierarchy process. McGraw-Hill, New York.

JICA. (n.d.). Chapter 2. Results of feasibility study on the priority project as structural flood mitigation measures.

Ogania, J., Puno, G., Alivio, M., & Taylaran, J. (2019). Effect of digital elevation model’s resolution in producing flood hazard maps. Global Journal of Environmental Science and Management, 5(1), 95–106. https://doi.org/10.22034/gjesm.2019.01.08

NIA-General Guidelines & Criteria for Planning, Design, Construction, Operation and Maintenance of Reservoir Dams/1st Edition (2019)/jrp. (2019).

RIDF of Selected Synoptic PAGASA Station, Attachment 4.3 of "Specific Discharge Curve, Rainfall Intensity Duration Curve, Isohyet of Probable 1-day Rainfall", FCSEC, March 2003

Iso-specific Coefficient, Attachment 4.4 of "Specific Discharge Curve, Rainfall Intensity Duration Curve, Isohyet of Probable 1-day Rainfall", FCSEC, March 2003

Isohyet of Probable 1-Day Rainfall, Attachment 4.5 of "Specific Discharge Curve, Rainfall Intensity Duration Curve, Isohyet of Probable 1-day Rainfall", FCSEC, March 2003

Lor, A. J. A. (2013). Runoff rate determination of Taganibong watershed in Bukidnon using unit hydrograph [Undergraduate Thesis].

Gabule, J. (2016). Geomorphologic characteristics and hydrologic features of Taganibong creek [Undergraduate Thesis].

Shi, Z., Chen, L., Fang, N., Qin, D., & Cai, C. (2009). Research on the SCS-CN initial abstraction ratio using rainfall-runoff event analysis in the Three Gorges Area, China. Catena, 77(1), 1–7. https://doi.org/10.1016/j.catena.2008.11.006

Perodes, J. R. and Fornis, R. L. (2024). Determining the InitialAbstraction Ratio of theUpper Sawaga Watershed,Bukidnon, Philippines.” CMU Journal of Science. 28(1), 70