The perspective of early career scientists of Modeling and Mitigating Unprecedented Flood Disasters in Data-Scarce Regions – Derna city flood case | Mateo Hernández Sánchez, Pedro Gustavo Câmara da Silva, Gabriel Marinho e Silva, Maria de Andrade Rocha Allencar Castro, Luís Miguel Castillo Rapalo, Marcus Nóbrega Gomes Junior e Eduardo Mario Mendiondo


Mateo Hernández Sánchez [1] 

Pedro Gustavo Câmara da Silva [2]

Gabriel Marinho e Silva [3]

Maria de Andrade Rocha Allencar Castro [4]

Luís Miguel Castillo Rapalo [5]

Marcus Nóbrega Gomes Junior [6]

Eduardo Mario Mendiondo [7]

Unraveling the catastrophic Derna flood: causes, impacts, and modeling initiatives.

On September 10th, Storm Daniel caused extensive damage in northeastern Libya, resulting in heavy rainfall and sudden flooding that impacted numerous urban and rural areas. The human casualties have been substantial, and the numbers are anticipated to increase. According to the Office for the Coordination of Humanitarian Affairs (OCHA), around 884,000 individuals residing in five regions (Mantikas) are situated in locations directly impacted by the storm and flash floods in Libya, with varying degrees of impact (OCHA, 2023).  Intergovernmental Panel on Climate Change (IPCC) reports show that more frequent and severe extreme events are linked to climate change caused by the temperature increases, due to our non-sustainable life patterns (IPCC, 2022). Although no one can say for certain that a given event was caused or worsened by climate change, attribution studies can estimate the probability that climate change affected Storm Daniel, says Günter Blöschl, a hydrologist at the Vienna University of Technology. “The answer to that is, at this stage, without detailed analysis, yes. There is quite a clear causal link.” (Marshall, 2023). Storm Daniel has the characteristics of a tropical depression; approximately 170 millimeters of rainfall fell in Libya. Torrential rains of between 150 – 240 mm caused flash floods in several cities, including Al-Bayda, which recorded the highest rainfall rate of 414.1 mm in 24 hours (Marshall, 2023). Flooding specialists say the rainfall was unusually severe, and climate change probably intensified it by supercharging Storm Daniel, a low-pressure weather system that formed over the Mediterranean Sea around 4 September.  As a result of such huge rainfall, two dams collapsed, Derna and Mansour (a pair of dams positioned further up the river valley with the same name, situated at one and twelve kilometers’ distance), releasing an estimated 30 million cubic meters of water into the city of Derna (Global Security, 2023). Other towns and cities were also affected, but what occurred to Derna was the worst event cataloged. In an average year, Derna gets 274 millimeters of rain, according to the German Weather Service (2023). 

(Leia o ensaio completo em PDF)

 

Recebido em: 15/10/2023

Aceito em: 15/11/2023

 

[1] Master’s Degree Student, Dept. of Hydraulics Engineering and Sanitation, São Carlos School of Engineering, University of São Paulo. Email: mathernandezsan@usp.br 

[2] Ph.D. Student, Dept. of Hydraulics Engineering and Sanitation, São Carlos School of Engineering, University of São Paulo. Email: pedrogc.silva@usp.br 

[3] Ph.D. Student, Dept. of Hydraulics Engineering and Sanitation, São Carlos School of Engineering, University of São Paulo. Email: marinho.gabriel@alumni.usp.br 

[4] Master’s Degree Student, Dept. of Hydraulics Engineering and Sanitation, São Carlos School of Engineering, University of São Paulo. Email: maria.alencar@usp.br 

[5] Ph.D. Student, Dept. of Hydraulics Engineering and Sanitation, São Carlos School of Engineering, University of São Paulo. Email: luis.castillo@usp.br 

[6] Ph.D. Student, Dept. of Hydraulics Engineering and Sanitation, São Carlos School of Engineering, University of São Paulo. Email: marcusnobrega@usp.br 

[7] Ph.D. Professor, Dept. of Hydraulics Engineering and Sanitation, São Carlos School of Engineering, University of São Paulo. Email: emm@sc.usp.br 

The perspective of early career scientists of Modeling and Mitigating Unprecedented Flood Disasters in Data-Scarce Regions – Derna city flood case

 

ABSTRACT: In September 2023, northeastern Libya faced unprecedented flooding due to Storm Daniel, leading to substantial human casualties and significant damage to the city of Derna. This article delves into the causes, impacts, and modeling initiatives undertaken in the aftermath of this catastrophe. Climate change exacerbated the storm, causing severe rainfall and the collapse of two embankment dams, inundating Derna. The lack of proper infrastructure maintenance and political instability in Libya further amplified the disaster. In response, researchers from the Water Adaptive Design & Innovation Laboratory (WadiLab) at the University of São Paulo developed a participative simulation model, HydroPol2D, to understand the event and propose mitigation strategies. Utilizing diverse data sources including satellite imagery, weather forecasts, and soil databases, the team simulated the flood dynamics. Despite challenges in data accuracy and resolution, the iterative simulation process yielded valuable insights. The participative simulation model not only enhanced understanding of the Derna disaster but also offers a versatile framework for future disaster scenarios. This article emphasizes the importance of addressing uncertainties in hydrological modeling and advocates for community involvement to bolster resilience and disaster management efforts globally.

KEYWORDS: Storm Daniel. Climate change. Hydrological modeling. HydroPol2D.Derna.

 


A perspectiva dos cientistas do início da carreira de Modelagem e Mitigação de Desastres de Inundações Sem Precedentes em Regiões Escassas de Dados – Caso de Inundação da Cidade de Derna

 

RESUMO: Em setembro de 2023, o nordeste da Líbia enfrentou inundações sem precedentes devido à Tempestade Daniel, resultando em substanciais perdas humanas e danos significativos à cidade de Derna. Este artigo explora as causas, impactos e iniciativas de modelagem tomadas na esteira desta catástrofe. As mudanças climáticas exacerbaram a tempestade, causando chuvas intensas e o colapso de duas barragens de terra, inundando Derna. A falta de manutenção adequada da infraestrutura e a instabilidade política na Líbia amplificaram o desastre. Em resposta, pesquisadores do Laboratório de Design Adaptativo e Inovação em Água (WadiLab) da Universidade de São Paulo desenvolveram um modelo de simulação participativa, HydroPol2D, para compreender o evento e propor estratégias de mitigação. Utilizando diversas fontes de dados, incluindo imagens de satélite, previsões do tempo e bancos de dados de solo, a equipe simulou a dinâmica das inundações. Apesar dos desafios na precisão e resolução dos dados, o processo iterativo de simulação proporcionou “insights” valiosos. O modelo de simulação participativa não apenas aprimorou a compreensão do desastre em Derna, mas também oferece uma estrutura versátil para cenários futuros de desastres. O estudo destaca a importância de abordar as incertezas na modelagem hidrológica e defende o envolvimento da comunidade para fortalecer os esforços de resiliência e gestão de desastres globalmente.

PALAVRAS-CHAVE: Tempestade Daniel. Mudanças Climáticas. Modelagem hidrológica. HydroPol2D. Derna.  

 

 


SANCHEZ, Mateo Hernandez: SILVA, Pedro Gustavo Camara: SILVA, Gabriel Marinho: CASTRO, Maria de Andrade Rocha; RAPALO, Luis Miguel Castilho; JUNIOR, Marcus Nobrega Gomes; MENDIONDO, Eduardo Mario. How the curiosity and motivation help to create an effective modeling framework: Derna’s city flood case. ClimaCom – Desastres [online], Campinas, ano 10, n. 25., nov. 2023. Available from: https://climacom.mudancasclimaticas.net.br/modeling-and-mitigating/