Modelación de Crecidas Aluvionales en la Cuenca del Río Copiapó, Chile

[EN] Extreme precipitation events that occurred between March 24 and March 26 of 2015 in the region of the Atacama Desert (26-29°S) left around 30 000 victims, being one of the biggest events over the past 50 years, with total a cost of reconstruction of about 1.5 billion dollars. The mudflows which...

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Detalhes bibliográficos
Autores: Valdés-Pineda, Rodrigo, Valdés, Juan B., García-Chevesich, Pablo
Formato: artículo
Fecha de publicación:2017
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:español
OAI Identifier:oai:riunet.upv.es:10251/81493
Acesso em linha:https://riunet.upv.es/handle/10251/81493
Access Level:acceso abierto
Palavra-chave:Modelación de crecidas aluvionales
Desierto de Atacama
Copiapó
Tierra amarilla
Mudflow modeling
Atacama desert
Extreme hydrological events
Descrição
Resumo:[EN] Extreme precipitation events that occurred between March 24 and March 26 of 2015 in the region of the Atacama Desert (26-29°S) left around 30 000 victims, being one of the biggest events over the past 50 years, with total a cost of reconstruction of about 1.5 billion dollars. The mudflows which increased during the flashflood inundated much of the city of Copiapó and Tierra Amarilla. This manuscript aims to model the mudflow of March 2015 in the Río Copiapó, specifically in the towns of Copiapó and Tierra Amarilla. The modeling process is performed using the Rapid Mass Movement Simulation Model (RAMMS) that allows modeling the dynamics of the mudflow in two dimensions, only using the topographic features of the modeling domain. Calibration of the model was carried out successfully using data from inundation heights captured around the city after the 2015 event. A detailed analysis of the hydrometeorological event is carried out using satellite images obtained from Multi-satellite Precipitation Analysis (TMPA), and pluviometric and hydrographic data available in the Copiapó River basin. The simulation of the flood is reproduced with maps of inundation heights associated with two modeling scenarios. The maximum flood heights are ultimately used for developing risk maps at both sites. According to our results, the RAMMS model is an appropriate tool for modeling mudflow and mapping flood risk to improve hydrological risk management in arid and semiarid basins of Chile