Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

An Agent-based Model to promote Nature-based Solutions for flood management in Algeria

Domain:

environment and energyclimate

Record type:

papermodel
Creator:
HamTai
Editor:
UniRisElsevier
Publisher:
CCSD
Host:avatar
International audience In recent decades, Algeria has faced an increasing frequency and intensity of extreme climatic events, particularly floods, which represent one of the natural hazards most amplified by climate change and have caused major disasters in several urban areas. Despite growing awareness, the implementation of innovative and sustainable flood risk management approaches, such as Nature-based Solutions (NbS), remains limited and insufficiently explored at the national level. To address this gap, this study employs a multi-agent simulation framework to evaluate the effectiveness of NbS compared to conventional strategies through flood scenario simulations. The model integrates multiple management strategies and assessment criteria focusing on potential human losses and environmental impacts. The approach is applied to the city of Chlef, a flood-prone area. Simulation results indicate that, without adequate mitigation, flooding could have catastrophic consequences, with an average of >32 fatalities and over 128 injured. Conventional structural measures, such as levee construction, significantly reduce impacts, lowering fatalities by approximately 50%, injuries by about 80%, and material losses by 20% to 60%. However, strategies combining urban nature and retention basins outperform other approaches by achieving equivalent results in terms of protection and maximizing social protection while enhancing environmental benefits. These findings demonstrate the strong potential of NbS to complement or surpass traditional flood management strategies, highlighting their relevance for sustainable urban resilience and supporting their integration into future national risk management policies.

Visit

hal.inrae.fr

Tags

AlgeriaMulti-agent simulationGreen infrastructureFlood risk[SDE]Environmental Sciences

Licenses

https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/OpenAccess

Similar

Multiple criteria-based assessments of Nature-Based Solutions for flood management: a reviewAssessing the effectiveness of nature-based solutions and the role of Community-Based solutions in mitigating flood disastersNature based solutions YSASpatial Multi-Criteria Analysis for Discovering Nature-Based Solutions Location for Urban Flood Mitigation in AccraFinancing Sustainable Watershed Management in Ethiopia: Exploring Innovative Financing Strategies for Nature-Based SolutionsHow nature-based solutions support mobility as an adaptation strategy

Multiple criteria-based assessments of Nature-Based Solutions for flood management: a review

Increased flooding frequency and intensity threaten vulnerable populations’ lives and live

Assessing the effectiveness of nature-based solutions and the role of Community-Based solutions in mitigating flood disasters

Flooding is still a major urban problem that is exacerbated by climate change, rapid urbanization, i

Nature based solutions YSA

This study assessed farmers' knowledge, attitudes, and management practices regarding the yellow sug

Spatial Multi-Criteria Analysis for Discovering Nature-Based Solutions Location for Urban Flood Mitigation in Accra

Abstract In recent years, Nature-Based Solutions (NBS) have become instrumental in restoring ecosys

Financing Sustainable Watershed Management in Ethiopia: Exploring Innovative Financing Strategies for Nature-Based Solutions

Land and watershed degradation in Ethiopia threaten agricultural productivity, water supplies, and l

How nature-based solutions support mobility as an adaptation strategy

Abstract Mobility and Nature-based solutions (NbS) are recognised as climate adapt