Geospatial approach to pluvial flood-risk and vulnerability assessment in Sunyani Municipality

• Published in: Heliyon 2024-09, Vol.10 (18), p.e38013, Article e38013
• Main Authors: Tetteh, Aaron Tettey, Moomen, Abdul-Wadood, Yevugah, Lily Lisa, Tengnibuor, Albert
• Format: Article
• Language: English
• Subjects: AHP; Drainage density; Flood-prone; Geospatial techniques; Precipitation; Sunyani municipality; Vulnerability assessment
• ISSN: 2405-8440; 2405-8440
• DOI: 10.1016/j.heliyon.2024.e38013

Historically, and in recent times, efforts have been to understand, predict, analyze, and quantify floods and their impacts in various countries of the globe. Although recent scientific advances have introduced approaches to assessing the risks presented by flooding, little studies have been carried out in the Sunyani Municipality of Ghana for generating a pluvial flood-risk and vulnerability map for risk identification, resilience, emergency preparedness, and urban spatial planning. In this study, five parameters that influence both pluvial and fluvial flooding were assessed to map flood-prone areas within the Sunyani Municipality. These are precipitation, drainage density, LULC, elevation, and slope, which were integrated in GIS. Using an AHP, weights were assigned to each parameter based on its level of influence on flooding. The findings reveal that 21.32 % of the Sunyani Municipality lies within a highly flood-prone area, 39.65 % in a flood-prone area, while 28.06 % and 10.97 % in slightly flood-prone and not flood-prone areas respectively. Built-up areas close to watersheds with lower elevations and larger drainage density are the places that are highly flood-prone. Some towns within the highly flood-prone and flood-prone areas are Abesim, Newtown, Nkwarbeng, Baakoniaba, Kootokrom, and Penkwase. Highly valued infrastructure such as schools, churches, and hospitals have also been found within these highly flood-prone areas. These findings can aid the government and relevant stakeholders in disaster risk management to be better informed, and to effectively plan and prevent flood challenges in the Sunyani Municipality. Moreover, urban spatial planners in the study setting can consider incorporating the flood hazard maps generated from this study into their spatial plans for proactive physical developments. [Display omitted] •Five key parameters influencing flooding were assessed to map flood-prone areas in the Sunyani Municipality.•Sentinel-2, STRM DEM, and CHIRPS data were used for flood analysis and map generation using ArcGIS.•Geospatial analysis weighted precipitation, drainage density, LULC, slope, and elevation using AHP.•Abesim, Newtown, Penkwase, and Kootokrom are among the areas prone to flooding, with flood-prone zones covering 39.65% of the study area.•Maps can guide MMDAs in flood management and land-use planning to mitigate flood hazards in urban areas.