Method for fluvial and pluvial flood risk assessment in rural settlements

Maurizio Tiepolo; Elena Belcore; Sarah Braccio; Souradji Issa; Giovanni Massazza; Maurizio Rosso; Vieri Tarchiani

doi:10.1016/j.mex.2021.101463

Method for fluvial and pluvial flood risk assessment in rural settlements

MethodsX. 2021 Jul 21:8:101463. doi: 10.1016/j.mex.2021.101463. eCollection 2021.

Authors

Maurizio Tiepolo¹, Elena Belcore², Sarah Braccio¹, Souradji Issa³, Giovanni Massazza⁴, Maurizio Rosso², Vieri Tarchiani⁵

Affiliations

¹ DIST-Politecnico and University of Turin, Italy.
² DIATI-Politecnico of Turin, Italy.
³ Ministry of Agriculture and Livestock, Niger.
⁴ AIPO-Interregional Agency for Po River, Moncalieri, Italy.
⁵ Institute of Bio Economy, National Research Council, Italy.

Abstract

Flood risk assessments in the Global South have increased since the adoption of the United Nations Sendai Framework for Disaster Risk Reduction 2015-2030. However, they often fail to meet disaster risk reduction needs at the local scale, because they typically consider only one hazard (fluvial or pluvial floods). Furthermore, hazard and exposure are considered as stationary conditions, flood-prone assets are rarely identified, risk reduction measures are not identified in detail for specific locations, and the convenience of reducing or accepting risk is not evaluated. This paper describes a flood risk assessment method that is innovative in that it considers three hazard types (backwater, fluvial, and pluvial floods) and multiple risk scenarios; it uses orthophotos generated from images captured by an unmanned aerial vehicle and very high-resolution satellite images, and it involves communities in risk assessment. The method was applied to four rural settlements along the Sirba River, Niger. The assessment identifies the benefit of reducing risk in monetary terms, as well as the intangible benefits that reducing risk could generate, and it detects opportunities that flooding offers for rural development. The method can be replicated in all contexts where decision-making support is needed for flood risk assessment planning.•Risk analysis and evaluation is participatory.•Risk assessment is improved by combining local and technical knowledge.•Assets are identified using very-high-resolution satellite and drone images.

Keywords: Damage; Disaster risk reduction; Hydraulic modelling; Local knowledge; Multi-hazard; Public participation; Unmanned aerial vehicle; VHR satellite images.