Reducing Flood Risk in Changing Environments: Optimal Location and Sizing of Stormwater Tanks Considering Climate Change

In recent years, there has been an increase in the frequency of urban floods as a result of three determinant factors: the reduction in systems’ capacity due to aging, a changing environment that has resulted in alterations in the hydrological cycle, and the reduction of the permeability of watershe...

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Veröffentlicht in:Water (Basel) Jg. 12; H. 9; S. 2491
Hauptverfasser: Saldarriaga, Juan, Salcedo, Camilo, Solarte, Laura, Pulgarín, Laura, Rivera, Maria Laura, Camacho, Mariana, Iglesias-Rey, Pedro L., Martínez-Solano, Francisco Javier, Cunha, Maria
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.09.2020
Schlagworte:
algorithms
cities
Climate change
Climatic changes
Colombia
Computer simulation
Computer-generated environments
drainage systems
environment
face
Flood damage
Floods
frequency
Genetic algorithms
hydrologic cycle
Infrastructure
Mathematical optimization
Methods
Optimization
Permeability
pipes
Rain
Rain and rainfall
risk
Runoff
solutions
storage
stormwater
Stormwater management
tanks
urban areas
urbanization
watersheds
Colombia
ISSN:2073-4441, 2073-4441
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Zusammenfassung:In recent years, there has been an increase in the frequency of urban floods as a result of three determinant factors: the reduction in systems’ capacity due to aging, a changing environment that has resulted in alterations in the hydrological cycle, and the reduction of the permeability of watersheds due to urban growth. Due to this, a question that every urban area must answer is: Are we ready to face these new challenges? The renovation of all the pipes that compose the drainage system is not a feasible solution, and, therefore, the use of new solutions is an increasing trend, leading to a new operational paradigm where water is stored in the system and released at a controlled rate. Hence, technologies, such as stormwater tanks, are being implemented in different cities. This research sought to understand how Climate Change would affect future precipitation, and based on the results, applied two different approaches to determine the optimal location and sizing of storage units, through the application of the Simulated Annealing and Pseudo-Genetic Algorithms. In this process, a strong component of computational modeling was applied in order to allow the optimization algorithms to efficiently reach near-optimal solutions. These approaches were tested in two stormwater networks at Bogotá, Colombia, considering three different rainfall scenarios.
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ISSN:2073-4441
2073-4441
DOI:10.3390/w12092491