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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Water resources and hydroinformatics : Spatio-temporal description of the rainfall in the andean city of manizales(colombia) for storm desi...
Spatio-temporal description of the rainfall in the andean city of manizales(colombia) for storm design
This study investigated a spatio-temporal description of various rainfall events in Manizales (Colombia) using nine
meteorological stations located in various parts of the city. The chosen stations were those with the greatest number of
available historical data. The selected time period from January 2006 to July 2014, ensures homogeneity of the data.
Raw data was extracted, processed and analyzed over intervals of five minutes with a minimum time period between
rainfall events of fifteen minutes. The location and topography of the city are responsible for the climate variability, in
particular due to the Intertropical Confluence Zone and the El Niño South Oscillation effect. High intensity and
cumulative rainfall in the region are responsible for triggering landslides. Hence, a detailed description and
understanding of the rainfall pattern is required to enable decision makers to reduce the risk associated with floods and
landslides, which are the most important issue in the Andean region. This rainfall analysis also improves the early
warning systems; the identification of vulnerable zones and the design methods for protective civil works. The results
indicate a high spatio-temporal variability, especially in the spatial distribution of the rainfall. The dimensionless
temporal distribution of the observed rainfall does not meet the recommended standards given by hydrology manuals
and the observations for the region indicate a uniform distribution of rainfall over time. Such information is required by
engineers for proper storm design. The rainfall reduction factor analysis indicates that the daily rainfall used to estimate
the design storm for different durations are highly variable in the entire city.
File Size : 1,135,289 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Water resources and hydroinformatics
Date Published : 19/08/2015
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