Integration of Geospatial Technology and Community Participation in Flood Risk Management: A Case Study of Phai Khwang Community Khao Phra Ngam Subdistrict, Mueang District, Lopburi Province
Keywords:
community participation, flood management strategies 2R 2P, flood risk areas geographic information system, weighted overlay analysisAbstract
Flooding has become a recurring problem in many areas of Lopburi Province, particularly in Ban Phai Khwang Community, Khao Phra Ngam Subdistrict, where low-lying topography, continuous urban expansion, and increasing rainfall variability have intensified the frequency and severity of flood events. These conditions have significantly affected local livelihoods, property, and residents’ quality of life. Effective flood management therefore requires both spatial information and active community participation. This study aimed to integrate geospatial technology with community participation in flood risk management. The study consisted of two main components: 1) flood risk area analysis using a Geographic Information System (GIS) with weighted overlay analysis based on physical and land-use factors, and 2) an assessment of community participation using questionnaires administered to 167 respondents, analyzed using descriptive statistics and correlation analysis. In addition, focus group discussions were conducted to formulate community-based flood management strategies.
The results showed that most areas of Khao Phra Ngam Subdistrict, particularly Ban Phai Khwang Community, were classified as high- and very high-risk flood zones. The community demonstrated a high level of flood-related knowledge and awareness, while the overall level of participation in flood management was moderate. Community participation was higher in problem identification, planning, and evaluation than in practical implementation. Factors significantly associated with participation included education level, occupation, income, and flood-related knowledge and awareness.
The integration of GIS-based flood risk analysis with participatory processes through focus group discussions enabled the development of flood management strategies based on the principles of prevention, preparedness, response, and recovery, which were consistent with the local context. The findings indicate that integrating geospatial technology with community participation can effectively support local-level flood risk management and may serve as a useful framework for policy development and flood management in other areas with similar characteristics.
References
Alharbi, T. 2024. A weighted overlay analysis for assessing urban flood risks in arid lands: a case study of Riyadh, Saudi Arabia. Water 16(3): 397. https://doi.org/10.3390/w16030397
Büchele, B., H. Kreibich and F. Nestmann. 2006. Flood-risk mapping: contributions towards an enhanced assessment of extreme events and associated risks. Natural Hazards and Earth System Sciences 6(3): 485–503. https://doi.org/10.5194/nhess-6-485-2006
Chuan, C.L. 2006. Sample size estimation using Krejcie and Morgan and Cohen statistical power analysis: a comparison. Jurnal Penyelidikan IPBL 7: 78–86.
Cronstedt, M. 2002. Prevention, preparedness, response, recovery – an outdated concept? Australian Journal of Emergency Management 17(2): 10–13.
Cutter, S.L., C.G. Burton and C.T. Emrich. 2010. Disaster resilience indicators for benchmarking baseline conditions. Journal of Homeland Security and Emergency Management 7(1): 1–24. https://doi.org/10.2202/1547-7355.1732
Department of Land Development. 2020. Soil drainage capacity data. Retrieved from https://gdcatalog.go.th/en/dataset/gdpublish-oss01
Department of Meteorology. 2021. Annual mean rainfall in Thailand (mm). Retrieved from https://www.tmd.go.th/ClimateChart/annual-mean-rainfall-in-thailand-mm
Intergovernmental Panel on Climate Change (IPCC). 2022. Climate Change 2022: Impacts, Adaptation and Vulnerability. Cambridge, UK and New York, USA: Cambridge University Press. 3056 p. https://doi.org/10.1017/9781009325844.
Kazakis, N., I. Kougias and T. Patsialis. 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
Lee, S. and F. Rezaie. 2022. Data used for GIS-based flood susceptibility mapping. GEO DATA 4(1): 1–15. https://doi.org/10.22761/DJ2022.4.1.001
Maskrey, A. 2011. Revisiting community-based disaster risk management. Environmental Hazards 10(1): 42–52. https://doi.org/10.3763/ehaz.2011.0005
Mitrearth. n.d. 52 Lop Buri: geography map. Retrieved from https://www.mitrearth.org/m52-lop-buri/
Rahmati, O., H.R. Pourghasemi and A.M. Melesse. 2016. Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: a case study at Mehran Region, Iran. Catena 137: 306–372. http://dx.doi.org/10.1016/j.catena.2015.10.010
Royal Irrigation Department. 2012. Guidelines for preparing geospatial data for the irrigation area information system: irrigation area data verification project. Retrieved from http://irrigation.rid.go.th/rid1/waterrid2/data/mand.pdf
Shaw, R., J.M. Pulhin and J.J. Pereira. 2014. Climate change adaptation and disaster risk reduction: issues and challenges. community. Environment and Disaster Risk Management 13: 1–19.
United Nations Office for Disaster Risk Reduction (UNDRR). 2019. Global Assessment Report on Disaster Risk Reduction 2019. Geneva: United Nations Office for Disaster Risk Reduction. 472 p.
Yamane, T. 1973. Statistics: An Introductory Analysis. 3rd ed. New York: Harper and Row. 1130 p.
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