Integrated use of Surveying Technologies and Climate Models in Flood Risk Mapping and Management over Abua/Odual LGA, Rivers State, Nigeria

Abstract

Abua/Odual Local Government Area (LGA) in Rivers State, Nigeria, is a low-lying, riverine community highly susceptible to recurrent and devastating flood events. Traditional flood risk assessments often prove inadequate in addressing the dynamic and complex nature of flood hazards in this region, which are exacerbated by climate change and localized anthropogenic factors. This study presents a comprehensive framework for integrated flood risk mapping and management, specifically tailored for Abua/Odual LGA, by synergistically combining advanced surveying technologies with climate models. High-resolution spatial data acquired through techniques such as Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicle (UAV) photogrammetry provide precise topographic and land-use information crucial for the LGA. These data are seamlessly integrated with future climate projections (e.g., extreme precipitation, sea-level rise) derived from Global and Regional Climate Models. Through advanced hydrological and hydraulic modeling, the framework simulates current and future flood inundation scenarios, explicitly accounting for the synergistic effects of compound flood drivers prevalent in the area. The results demonstrate significantly enhanced accuracy and spatial resolution in flood risk maps, enabling the identification of previously unmapped vulnerable areas and critical infrastructure under future climate conditions. This proactive approach provides invaluable insights for resilient local planning, infrastructure development, and adaptive flood management strategies, ultimately contributing to safer and more sustainable communities in Abua/Odual LGA.