Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Flood Inundation Mapping of Calabar River Using Hec-Ras and QGIS

Domaine:

geospatialenvironment and energy

Type de record:

paper
Créateur:
IbiHyc
Éditeur:
Nig
Hôte:
Floods pose significant challenges worldwide, affecting communities, ecosystems, and economies. In Cross River State, Nigeria, the Calabar River, with its complex river network and climate conditions, is particularly vulnerable to recurrent floods. Recent events, such as the destructive flood in Cross river Local Government Areas highlight the urgent need for comprehensive flood management in the region. This study addresses the ongoing flood problem by utilizing a combination of HEC-RAS and QGIS for detailed flood mapping. Geospatial data extraction from Google Earth Pro, Digital Elevation Model (DEM) development in QGIS, and high-precision floodplain mapping using HEC-RAS form the core of the research scope. Three simulation Profiles with varying discharges of 1189.31, 1727.33 and 2491.88 cubic meters per second were used. The study found that the flow in the channel is subcritical, with a Froude number between 0.2 and 0.72. The results revealed that Profile 1, 2 and 3 resulted in an inundation area of 3365733.24, 3770894.64 and 3994215.90 square meters respectively with Profile 3 resulting in the highest flooding area. The findings reveal subcritical flow in the Calabar River, indicating slow and calm flow conditions. The study's key contribution lies in providing a detailed Flood map, offering crucial insights for disaster preparedness and risk mitigation. These findings highlight the importance of comprehensive flood mapping and robust risk assessment in flood-prone regions provides practical tools for enhancing flood resilience in the Calabar River region and beyond.

Visit

doi.org

Languages

Efik

Similaires

Mapping flood inundation areas using GIS and HEC-RAS model at Fetam River, Upper Abbay Basin, EthiopiaMachine learning and HEC-RAS integrated models for flood inundation mapping in Baro River Basin, EthiopiaFlood Impact Assessment Using HEC-RAS and GIS Techniques Dinder River, Southeast SudanDam breach analysis of Kibimba Dam in Uganda using HEC-RAS and HEC-GeoRASAn MCDM framework comparable to HEC-RAS modeling for flash flood mapping in a semi-arid regionA Performance Comparison of the HEC-RAS and TELEMAC-2D Models in Flood Risk Assessment - Application to the Medjerda River

Mapping flood inundation areas using GIS and HEC-RAS model at Fetam River, Upper Abbay Basin, Ethiopia

Machine learning and HEC-RAS integrated models for flood inundation mapping in Baro River Basin, Ethiopia

This paper presents the integrated machine learning and HEC-RAS models for flood inundation mapping

Flood Impact Assessment Using HEC-RAS and GIS Techniques Dinder River, Southeast Sudan

Abstract: Dinder River is largest tributary of the Blue Nile. It is seasonal river that flows from J

Dam breach analysis of Kibimba Dam in Uganda using HEC-RAS and HEC-GeoRAS

Abstract Dam failures have severe consequences on human life and property. In the case of an earth

An MCDM framework comparable to HEC-RAS modeling for flash flood mapping in a semi-arid region

The downstream part of the Wadi El Ouaar watershed in middle Souss, Morocco, is an important socio-e

A Performance Comparison of the HEC-RAS and TELEMAC-2D Models in Flood Risk Assessment - Application to the Medjerda River

International audience River flooding is one of the most frequent catastrophic events