GIS-Based Risk Assessment of Structure Attributes in Flood Zones of Odiongan, Romblon, Philippines

Flood triggered by heavy rains and typhoons leads to extensive damage to land and structures putting rural communities in crucial condition. Most of the studies on risk assessment focus on environmental factors, and building attributes have not been given attention. The five most expensive typhoon events in the Philippines were recorded in 2008–2013, causing USD 138 million in damage costs. This indicates the lack of tool/s that would aid in the creation of appropriate mitigation measure/s and/or program/s in the country to reduce damage caused by typhoons and flooding. Hence, this study highlights a structure vulnerability assessment approach employing the combination of analytical hierarchy process, physical structure attributes, and existing flood hazard maps by the local government unit. The available flood hazard maps were layered into base maps, and building attributes were digitized using a geographic information system. The result is an essential local scale risk map indicating the building risk index correlated to the structural information of each exposed structure. It was recorded that of 3094 structures in the community, 370 or 10.25% were found to be at moderate risk, 3094 (76.79%) were found to be high risk, and 503 (12.94%) were very high risk. The local government unit can utilize the resulting maps and information to determine flood risk priority areas to plan flood mitigation management strategies and educate people to improve the structural integrity of their houses. A risk map gives people an idea of what to improve in their houses to reduce their vulnerability to natural disasters. Moreover, the result of the study provides direction for future studies in the country to reduce loss and enhance structure resiliency against flooding.

[1]  J. R. Gaxiola-Camacho,et al.  Probabilistic Assessment of Buildings Subjected to Multi-Level Earthquake Loading Based on the PBSD Concept , 2022, Buildings.

[2]  Zhengzheng Zhou,et al.  Flood Risk Assessment of Buildings Based on Vulnerability Curve: A Case Study in Anji County , 2022, Water.

[3]  Nan Wang,et al.  Increasing Global Flood Risk in 2005-2020 from a Multi-Scale Perspective , 2022, Remote. Sens..

[4]  Eddie G. Fetalvero,et al.  Quantitative Assessment and Spatial Analysis of Metals and Metalloids in Soil Using the Geo-Accumulation Index in the Capital Town of Romblon Province, Philippines , 2022, Toxics.

[5]  Md. Nazrul Islam,et al.  Application of latest HEC-RAS version 6 for 2D hydrodynamic modeling through GIS framework: a case study from coastal urban floodplain in India , 2022, Modeling Earth Systems and Environment.

[6]  J. Moyano,et al.  Simplified automatic prediction of the level of damage to similar buildings affected by river flood in a specific area , 2022, Sustainable Cities and Society.

[7]  C. Monjardin,et al.  Flood Risk Assessment Using GIS-Based Analytical Hierarchy Process in the Municipality of Odiongan, Romblon, Philippines , 2022, Applied Sciences.

[8]  Shiqiang Du,et al.  A Method for Assessing Flood Vulnerability Based on Vulnerability Curves and Online Data of Residential Buildings—A Case Study of Shanghai , 2022, Water.

[9]  H. Maiwald,et al.  Innovative Vulnerability and Risk Assessment of Urban Areas against Flood Events: Prognosis of Structural Damage with a New Approach Considering Flow Velocity , 2022, Water.

[10]  C. Kilsby,et al.  Building level flood exposure analysis using a hydrodynamic model , 2022, Environ. Model. Softw..

[11]  Zhengzheng Zhou,et al.  Risk Assessment of Flash Flood to Buildings Using an Indicator-Based Methodology: A Case Study of Mountainous Rural Settlements in Southwest China , 2022, Frontiers in Environmental Science.

[12]  Nkeki Felix Ndidi,et al.  Flood risk mapping and urban infrastructural susceptibility assessment using a GIS and analytic hierarchical raster fusion approach in the Ona River Basin, Nigeria , 2022, International Journal of Disaster Risk Reduction.

[13]  D. Tran,et al.  Flood vulnerability assessment and mapping: A case of Ben Hai-Thach Han River basin in Vietnam , 2022, International Journal of Disaster Risk Reduction.

[14]  Limao Zhang,et al.  Building vulnerability assessment in seismic areas using ensemble learning: A Nepal case study , 2022, Journal of Cleaner Production.

[15]  C. Brenner,et al.  Determination of building flood risk maps from LiDAR mobile mapping data , 2022, Comput. Environ. Urban Syst..

[16]  Win Win Zin,et al.  Development of flood damage assessment method for residential areas considering various house types for Bago Region of Myanmar , 2021, International Journal of Disaster Risk Reduction.

[17]  D. Scott,et al.  Leveraging Hazard, Exposure, and Social Vulnerability Data to Assess Flood Risk to Indigenous Communities in Canada , 2021, International Journal of Disaster Risk Science.

[18]  C. Just,et al.  Flood Risk Assessment and Quantification at the Community and Property Level in the State of Iowa , 2021, International Journal of Disaster Risk Reduction.

[19]  C. Monjardin,et al.  Determination of River Water Level Triggering Flood in Manghinao River in Bauan, Batangas, Philippines , 2021, Journal of Mechanical Engineering.

[20]  Jeill Oh,et al.  Application of a Novel Hybrid Method for Flood Susceptibility Mapping with Satellite Images: A Case Study of Seoul, Korea , 2021, Remote. Sens..

[21]  A. Persson,et al.  Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö , 2021, International Journal of Disaster Risk Reduction.

[22]  Nguyen Ba Dung,et al.  The Role of Factors Affecting Flood Hazard Zoning Using Analytical Hierarchy Process: A Review , 2021, Earth Systems and Environment.

[23]  Muhammad Fahad Baqa,et al.  Flash Flood Susceptibility Assessment and Zonation Using an Integrating Analytic Hierarchy Process and Frequency Ratio Model for the Chitral District, Khyber Pakhtunkhwa, Pakistan , 2021, Water.

[24]  Wei Yang,et al.  Flooding Risk Assessment and Analysis Based on GIS and the TFN-AHP Method: A Case Study of Chongqing, China , 2021, Atmosphere.

[25]  A. Ewusi,et al.  Assessment of flood prone zones in the Tarkwa mining area of Ghana using a GIS-based approach , 2021 .

[26]  Aleeza M. Wilkins,et al.  Challenges and opportunities for Sendai framework disaster loss reporting in the United States , 2021, Progress in Disaster Science.

[27]  Hong-Ming Liu,et al.  Flood Risk Assessment in Urban Areas of Southern Taiwan , 2021 .

[28]  K. Swain,et al.  Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud , 2020, ISPRS Int. J. Geo Inf..

[29]  I. U. Kaoje,et al.  Physical flood vulnerability assessment of buildings in Kota Bharu, Malaysia: an indicator-based approach , 2020 .

[30]  Jinyao Lin,et al.  Investigating the influence of three-dimensional building configuration on urban pluvial flooding using random forest algorithm. , 2020, Environmental research.

[31]  Moises Neil V. Seriño,et al.  Impact of the 2013 super typhoon haiyan on the livelihood of small-scale coconut farmers in Leyte island, Philippines , 2020 .

[32]  Katja Brundiers,et al.  AHP-GIS analysis for flood hazard assessment of the communities nearby the world heritage site on Ayutthaya Island, Thailand , 2020 .

[33]  L.M. Zhang,et al.  Physics of building vulnerability to debris flows, floods and earth flows , 2020 .

[34]  P. Santos,et al.  An Integrated Approach for Assessing Flood Risk in Historic City Centres , 2020, Water.

[35]  A. Grozavu,et al.  Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania) , 2020, Water.

[36]  C. Arrighi,et al.  Empirical flash flood vulnerability functions for residential buildings , 2020, SN Applied Sciences.

[37]  Hiroaki Tanaka,et al.  Human health risk assessment of elevated and variable iron and manganese intake with arsenic-safe groundwater in Jashore, Bangladesh , 2020, Scientific Reports.

[38]  Han Soo Lee,et al.  Flood risk assessment for Davao Oriental in the Philippines using geographic information system‐based multi‐criteria analysis and the maximum entropy model , 2020, Journal of Flood Risk Management.

[39]  Shui-Long Shen,et al.  Risk Assessment Using a New Consulting Process in Fuzzy AHP , 2020 .

[40]  Rupal K. Waghwala,et al.  Flood risk assessment and resilience strategies for flood risk management: A case study of Surat City , 2019, International Journal of Disaster Risk Reduction.

[41]  Dhekra Souissi,et al.  Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia) , 2019, Arabian Journal of Geosciences.

[42]  Narjes Mahmoody Vanolya,et al.  The use of subjective–objective weights in GIS-based multi-criteria decision analysis for flood hazard assessment: a case study in Mazandaran, Iran , 2019, GeoJournal.

[43]  Yoshiko Abe,et al.  Risk informed and resilient development: Engaging the private sector in the era of the Sendai Framework , 2019, Progress in Disaster Science.

[44]  Mohd. Zulkifli Mohd. Yunus,et al.  Assessment of building vulnerability by integrating rapid visual screening and geographic information system: A case study of Ranau township , 2019, IOP Conference Series: Materials Science and Engineering.

[45]  Man-Hyung Lee,et al.  The Development and Application of the Urban Flood Risk Assessment Model for Reflecting upon Urban Planning Elements , 2019, Water.

[46]  G. Puno,et al.  Flood hazard mapping in an urban area using combined hydrologic-hydraulic models and geospatial technologies , 2019 .

[47]  Y. Kuo,et al.  Residential Flood Loss Assessment and Risk Mapping from High-Resolution Simulation , 2019, Water.

[48]  J. A. Sandoval,et al.  Identification of potential artificial groundwater recharge sites in Mount Makiling Forest Reserve, Philippines using GIS and Analytical Hierarchy Process , 2019, Applied Geography.

[49]  Biswajeet Pradhan,et al.  Assessing Spatial Flood Vulnerability at Kalapara Upazila in Bangladesh Using an Analytic Hierarchy Process , 2019, Sensors.

[50]  Jidong Wu,et al.  Building Asset Value Mapping in Support of Flood Risk Assessments: A Case Study of Shanghai, China , 2019, Sustainability.

[51]  M. Nastev,et al.  Flood risk mapping for direct damage to residential buildings in Quebec, Canada , 2019, International Journal of Disaster Risk Reduction.

[52]  Gregory Giuliani,et al.  Flood hazard assessment and the role of citizen science , 2019, Journal of Flood Risk Management.

[53]  A. Martínez-Graña,et al.  Flood Risk Evaluation in Urban Spaces: The Study Case of Tormes River (Salamanca, Spain) , 2018, International journal of environmental research and public health.

[54]  Sarawut Jamrussri,et al.  Flood Evacuation Time for High-Risk Areas in the Middle Reach of Chao Phraya River Basin , 2018 .

[55]  C. Monjardin,et al.  Effect of climate change to Ambuklao reservoir, simulation of El Niño and La Niña , 2018 .

[56]  Ahmed Mebarki,et al.  Seismic vulnerability assessment at urban scale: Case of Algerian buildings , 2018, International Journal of Disaster Risk Reduction.

[57]  S. Allen,et al.  Translating the concept of climate risk into an assessment framework to inform adaptation planning: Insights from a pilot study of flood risk in Himachal Pradesh, Northern India , 2018, Environmental Science & Policy.

[58]  C. Armenakis,et al.  Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study , 2018, Geosciences.

[59]  T. Kroeger,et al.  Life Cycle Cost and Return on Investment as complementary decision variables for urban flood risk management in developing countries , 2018, International Journal of Disaster Risk Reduction.

[60]  You Dong,et al.  Multi-hazard vulnerability of structures and lifelines due to the 2015 Gorkha earthquake and 2017 central Nepal flash flood , 2018 .

[61]  Chinh Luu,et al.  A Flood Risk Assessment of Quang Nam, Vietnam Using Spatial Multicriteria Decision Analysis , 2018 .

[62]  Faiz Shah,et al.  VULNERABILITY ASSESSMENT OF RESIDENTIAL BUILDINGS IN JEDDAH: A METHODOLOGICAL PROPOSAL , 2018 .

[63]  A. Finlayson,et al.  A Risk-Based Approach to Shelter Resilience following Flood and Typhoon Damage in Rural Philippines , 2018 .

[64]  Fabio Castelli,et al.  Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform. , 2018, Journal of environmental management.

[65]  A. Skakova,et al.  Priorities and challenges for a sustainable management of water resources in Kazakhstan , 2017 .

[66]  Alfredo Mahar Francisco A Lagmay,et al.  Disseminating near-real-time hazards information and flood maps in the Philippines through Web-GIS. , 2017, Journal of environmental sciences.

[67]  D. Pamučar,et al.  Application of GIS-Interval Rough AHP Methodology for Flood Hazard Mapping in Urban Areas , 2017 .

[68]  J. L. Serviano,et al.  BEYOND FLOOD HAZARD MAPS: DETAILED FLOOD CHARACTERIZATION WITH REMOTE SENSING, GIS AND 2D MODELLING , 2016 .

[69]  Michael Thiel,et al.  Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’ivoire) , 2016, Geoenvironmental Disasters.

[70]  Shamsuddin Shahid,et al.  A GIS-based integration of catastrophe theory and analytical hierarchy process for mapping flood susceptibility: a case study of Teeb area, Southern Iraq , 2016, Environmental Earth Sciences.

[71]  L. Kumar,et al.  Rapid appraisal of rainfall threshold and selected landslides in Baguio, Philippines , 2015, Natural Hazards.

[72]  Yuka Ito,et al.  Flood hazard assessment in the Kujukuri Plain of Chiba Prefecture, Japan, based on GIS and multicriteria decision analysis , 2015, Natural Hazards.

[73]  F. U. Bagsit,et al.  Do adaptation and coping mechanisms to extreme climate events differ by gender? The case of flood-affected households in Dumangas, Iloilo, Philippines , 2014 .

[74]  Y. Ouma,et al.  Urban Flood Vulnerability and Risk Mapping Using Integrated Multi-Parametric AHP and GIS: Methodological Overview and Case Study Assessment , 2014 .

[75]  Jiquan Zhang,et al.  Flood Disaster Risk Assessment of Rural Housings — A Case Study of Kouqian Town in China , 2014, International journal of environmental research and public health.

[76]  Mustafa Neamah Jebur,et al.  Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS , 2013 .

[77]  G. Strunz,et al.  Assessing building vulnerability to earthquake and tsunami hazard using remotely sensed data , 2013, Natural Hazards.

[78]  S. Stefanidis,et al.  Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP) , 2013, Natural Hazards.

[79]  Bofu Yu,et al.  Integrated application of the analytic hierarchy process and the geographic information system for flood risk assessment and flood plain management in Taiwan , 2011 .

[80]  Jacek Malczewski,et al.  Using the fuzzy majority approach for GIS-based multicriteria group decision-making , 2010, Comput. Geosci..

[81]  Muh Aris Marfai,et al.  Monitoring land subsidence in Semarang, Indonesia , 2007 .

[82]  Keping Chen,et al.  Extracting building features from high resolution aerial imagery for natural hazards risk assessment , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[83]  N. H. Idris,et al.  Physical Flood Vulnerability Assessment using Geospatial Indicator-Based Approach and Participatory Analytical Hierarchy Process: A Case Study in Kota Bharu, Malaysia , 2021 .

[84]  B. Pham,et al.  Flood risk assessment using hybrid artificial intelligence models integrated with multi-criteria decision analysis in Quang Nam Province, Vietnam , 2021, Journal of Hydrology.

[85]  Kumari M. Weerasinghe,et al.  Qualitative Flood Risk assessment for the Western Province of Sri Lanka , 2018 .

[86]  C. Monjardin,et al.  Effects of Land Cover Changes to the Quantity of Water Supply and Hydrologic Cycle using Water Balance Models , 2018 .