Dataset on Flood Risk Along the Niger River Upstream of Niamey

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Authors: Maurizio Tiepolo, Giorgio Cannella, Muhammad Abraiz, Ousmane Baoua, Elena Belcore, Daniele Ganora, Mohammed Ibrahim Housseini, Alejandro Marmolejo Gutierrez, Marco Piras, Francesco Saretto, Riccardo Vesipa
Cited by: 1
References: 32

Abstract

Knowledge of river flood risk in semiarid rural areas is often based on outdated, low-resolution geoinformation. Consequently, identification of exposed settlements, assets and risk-reduction measures remains challenging. This dataset provides up-to-date, fine-grained information for a rural area spanning 931 km2 that is exposed to flooding from the Niger River and the Karma Wadi. The dataset includes information on (i) areas exposed to the two flood types that characterise the river’s hydrological regime and flash floods from the wadi, (ii) flood-prone crops, buildings and (iii) measures for risk treatment. Discharge data, a 4 m horizontal-resolution digital elevation model, and two-dimensional hydraulic modelling with BASEMENT were used to identify flood-prone areas. Visual interpretation of high-resolution satellite imagery in Google Earth, together with field inspections, enabled the identification of exposed assets. The Information System on Rural Markets of Niger and house compensation values recognised during resettlement-related works enabled asset valuation. Risk was expressed in monetary terms as the product of flood probability and expected damage. Risk-reduction measures were identified with stakeholders through a SWOT analysis and prioritised using eight criteria. The dataset can support emergency plans, flood early warning systems, rescue and recovery operations and flood risk management.

Fields of Study & Subjects

Flood Risk Assessment and Management Groundwater and Watershed Analysis Hydrology and Sediment Transport Processes

Publication details

Journal / source
Data
Publisher
MDPI AG
Volume
11
Issue
6
Pages
139–139
Publication date
10 June 2026
Language
EN