PhilArchive
open access
Hydrological modelling of flood risk and watershed response to land use change: A case study of the Anambra Watershed, Nigeria
Land use and land cover (LULC) changes significantly influence watershed hydrological processes and flood risk. This study assessed the effects of long-term LULC change on the hydrological response of the Anambra Watershed between 1995 and 2025 using Remote Sensing (RS), Geographic Information Systems (GIS), and HEC-HMS hydrological modelling. Satellite imagery was analyzed to quantify historical land cover changes, while HEC-HMS was employed to simulate rainfall–runoff responses under varying land use conditions. The results revealed a 184.2% increase in built-up areas and substantial declines in forest cover (34.1%) and wetlands (34.0%) over the study period. Hydrological simulations showed that these changes reduced infiltration by 45.4%, increased surface runoff by 36.0%, and increased peak discharge by 38.6% under a 100-year rainfall event. The time-to-peak also decreased from 14.2 to 11.8 hours, indicating a faster watershed response to storm events. Flood susceptibility mapping further revealed that approximately 73% of the watershed falls within medium to very high flood-risk categories, with the highest vulnerability concentrated in the southern floodplain regions. The findings demonstrate that long-term land use change has significantly altered the hydrological behaviour of the watershed and increased flood vulnerability. The study highlights the importance of riparian restoration, wetland conservation, and sustainable urban drainage strategies for effective flood-risk management within the watershed.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Application of Cost-Effective High-Resolution Remote Sensing to Characterize Flooding in Mountain River Corridors#921663
- Development and evaluation of a variably saturated flow model in the global E3SM Land Model (ELM) version 1.0#1165828
- Enhancing groundwater potential mapping in arid regions through integrated microwave remote sensing, statistical analysis, and geophysical-based modeling.#465361
- Flood Risk Assessment in a Data-Scarce Tropical River Basin of the Global South: A Multi-Model Approach#279723
- Towards improved representation of the hydrological cycle by assimilating multi-source remotely sensed soil moisture data in terrestrial system models / Haojin Zhao ; Harrie-Jan Hendricks-Franssen, Gabriëlle De Lannoy, Thomas R. Rüde, Yijian Zeng#1078745
Record · ID 689276
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive