Show source-provided references
2. (2022, September 07). Flood—UN-SPIDER Knowledge Portal. Available online: https://www.un-spider.org/category/disaster-type/flood.
3. Nunez, C. (2021, June 27). Floods—Facts and Information. Available online: https://www.nationalgeographic.com/environment/article/floods.
4. Malhotra, S. (2021, June 27). Flooded Cities and Millions Displaced in Pictures—Greenpeace International. Available online: https://www.greenpeace.org/international/story/44296/flooded-cities-and-millions-displaced-in-pictures/.
5. Monjardin, C.E.F., Tan, F.J., Uy, F.A.A., Bale, F.J.P., Voluntad, E.O., and Batac, R.M.N. (2020, January 23–25). Assessment of the existing drainage system in Infanta, Quezon province for flood hazard management using analytical hierarchy process. Proceedings of the 2020 IEEE Conference on Technologies for Sustainability (SusTech), Santa Ana, CA, USA.
10.1109/SusTech47890.2020.9150518 ↗6. ESCAP IDD (2015). Disasters in Asia and the Pacific: 2015 Year in Review, ESCAP IDD.
7. Davies, R. (2021, June 27). Philippines—Thousands Hit by More Floods in Central Regions—FloodList. Available online: http://floodlist.com/asia/philippines-negros-occidental-floods-january-2021.
8. Flood risk assessment for Davao Oriental in the Philippines using geographic information system-based multi-criteria analysis and the maximum entropy model
10.1111/jfr3.12607 ↗10. Teves, C. (2021, June 27). Romblon Waterways at Risk of Overflow due to ‘Quinta’ Rains—Philippine News Agency, Available online: https://www.pna.gov.ph/articles/1119823.
12. Rahman, M.Z.A., and Alkema, D. (2006). Digital surface model (DSM) construction and flood hazard simulation for Development Plans in Naga City, Philippines. GIS Dev. Malaysia, 1–15.
13. A Review of Flood Risk Assessment
14. Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam
10.1016/j.jhydrol.2020.125815 ↗15. Cai, S., Fan, J., and Yang, W. (2021). Flooding Risk Assessment and Analysis Based on GIS and the TFN-AHP Method: A Case Study of Chongqing, China. Atmosphere, 12.
10.3390/atmos12050623 ↗16. Developing a GIS tool to assess potential damage of future floods
17. Flood risk assessment and mapping using multi-criteria analysis (AHP) model and GIS: Case of the Jendouba Governorate—Northwestern Tunisia
19. Chen, B., and Ge, Y. (2010, January 22–24). The building of network geographic information system based on ArcGIS. Proceedings of the International Conference on Computer Application and System Modeling, Taiyuan, China.
20. Perspectives on Digital Elevation Model (DEM) Simulation for Flood Modeling in the Absence of a High-Accuracy Open Access Global DEM
10.3389/feart.2018.00233 ↗21. Jeon, Y.W., Bae, Y., and Ra, J.B. (2013, January 21–26). Error detection in digital elevation model using a camera image. Proceedings of the International Geoscience and Remote Sensing Symposium, Melbourne, VIC, Australia.
10.1109/IGARSS.2013.6723333 ↗22. Sugumaran, R., Davis, C.H., Meyer, J., and Prato, T. (2000, January 24–28). High resolution digital elevation model and a web-based client-server application for improved flood plain management. Proceedings of the International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA.
23. Ballado, A.H., Bentir, S.A.P., Lazaro, J.B., and Macawile, M.J.P. (2017, January 1–3). Depth perception analysis of LiDAR digital elevation model for low lying areas using delaunay triangulation algorithm. Proceedings of the HNICEM 2017—9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, Manila, Philippines.
10.1109/HNICEM.2017.8269428 ↗24. Floodplain Modelling of Malaking-Ilog River in Southern Luzon, Philippines Using LiDAR Digital Elevation Model for the Design of Water-Related Structures
10.1088/1757-899X/216/1/012044 ↗26. AHP-GIS analysis for flood hazard assessment of the communities nearby the world heritage site on Ayutthaya Island, Thailand
10.1016/j.ijdrr.2020.101612 ↗29. Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’ivoire)
10.1186/s40677-016-0044-y ↗31. Dodgson, J.S., Spackman, M., Pearman, A., and Phillips, L.D. (2009). Multi-Criteria Analysis: A Manual, Department for Communities and Local Government.
32. Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: Methodological overview and case study assessment
10.3390/w6061515 ↗33. Juneja, P. (2021, June 30). What Is Analytical Hierarchy Process (AHP) and How to Use It?. Available online: https://www.managementstudyguide.com/analytical-hierarchy-process.htm.
34. Modeling Flood Risk for an Urban CBD Using AHP and GIS
35. Rahadianto, H., Fariza, A., and Hasim, J.A.N. (2015, January 25–26). Risk-level assessment system on Bengawan Solo River basin flood prone areas using analytic hierarchy process and natural breaks: Study case: East Java. Proceedings of the 2015 International Conference on Data and Software Engineering, ICODSE 2015, Yogyakarta, Indonesia.
10.1109/ICODSE.2015.7436997 ↗39. Cabrera, J.S., and Lee, H.S. (2018). Impacts of climate change on flood-prone areas in Davao Oriental, Philippines. Water, 10.
10.3390/w10070893 ↗40. Flood evacuation decision modeling for high risk urban area in the Philippines
42. Robielos, R.A.C., Lin, C.J., Senoro, D.B., and Ney, F.P. (2020). Development of vulnerability assessment framework for disaster risk reduction at three levels of geopolitical units in the Philippines. Sustainability, 12.
10.3390/su12218815 ↗43. Confirmatory factor analysis of vulnerability to natural hazards: A household Vulnerability Assessment in Marinduque Island, Philippines
10.1016/j.ijdrr.2020.101831 ↗44. Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan
10.1007/s11069-011-9831-7 ↗45. Gigović, L., Pamučar, D., Bajić, Z., and Drobnjak, S. (2017). Application of GIS-interval rough AHP methodology for flood hazard mapping in Urban areas. Water, 9.
10.3390/w9060360 ↗46. Cabrera, J.S., and Lee, H.S. (2019). Flood-prone area assessment using GIS-based multi-criteria analysis: A case study in Davao Oriental, Philippines. Water, 11.
10.3390/w11112203 ↗47. PAGASA (2022, September 10). Climatological Normals, Available online: https://www.pagasa.dost.gov.ph/climate/climatological-normals.
48. LGU Odiongan (2017). Comprehensive Land Use Plan (CLUP), LGU Odiongan.
49. (2022, September 10). HEC-HMS. Available online: https://www.hec.usace.army.mil/software/hec-hms/.
50. (2022, September 10). HEC-RAS. Available online: https://www.hec.usace.army.mil/software/hec-ras/.
51. (2022, September 10). GEOHAZARD MAPS, Available online: https://region4b.mgb.gov.ph/28-geohazard-maps/98-geohazard-maps#romblon-2.
53. (2022, June 02). Employment of PWDs. Available online: https://www.pwc.com/ph/en/taxwise-or-otherwise/2017/employment-of-pwds.html.
54. Febrianto, H., Fariza, A., and Hasim, J.A.N. (2016, January 15–17). Urban flood risk mapping using analytic hierarchy process and natural break classification (Case study: Surabaya, East Java, Indonesia). Proceedings of the 2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016, Manado, Indonesia.
10.1109/KCIC.2016.7883639 ↗55. National Disaster Management Office (NDMO) (2016). Republic of Vanuatu National Guidelines for the Selection and Assessment of Evacuation Centres.
56. Land cover change in the silang-santa rosa river subwatershed, Laguna, Philippines
57. Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP)
10.1007/s11069-013-0639-5 ↗58. Shrestha, B.B., Okazumi, T., Miyamoto, M., and Sawano, H. (2014, January 16–18). Development of flood risk assessment method for data-poor river basins: A case study in the Pampanga River Basin, Philippines. Proceedings of the 6th International Conference on Flood Management, Sao Paolo, Brazil.
61. Multi hazards risk assessment of Indian Sundarbans using GIS based Analytic Hierarchy Process (AHP)
62. Flood simulation using geospatial models in Manupali Watershed, Bukidnon, Philippines
64. Flood hazard mapping in an urban area using combined hydrologic-hydraulic models and geospatial technologies
65. Flood Risk of Metro Manila Barangays: A GIS Based Risk Assessment Using Multi-Criteria Techniques
66. Flood risk assessment
67. Åström, H.L.A. (2015). An Urban Flood Risk Assessment Method Using the Bayesian Network Approach, DTU Environment, Technical University of Denmark.
68. Flood vulnerability assessment using a GIS-based multi-criteria approach—The case of Attica region
10.1111/jfr3.12563 ↗69. Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
10.1016/j.jhydrol.2013.09.034 ↗70. Monjardin, C.E.F., Senoro, D.B., Magbanlac, J.J.M., de Jesus, K.L.M., Tabelin, C.B., and Natal, P.M. (2022). Geo-Accumulation Index of Manganese in Soils Due to Flooding in Boac and Mogpog Rivers, Marinduque, Philippines with Mining Disaster Exposure. Appl. Sci., 12.
10.3390/app12073527 ↗