Canon, Cesar: The hidden risk of conventional floodplain mapping : Diagnosis in Cali, Colombia. - Bonn, 2022. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc:
author = {{Cesar Canon}},
title = {The hidden risk of conventional floodplain mapping : Diagnosis in Cali, Colombia},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2022,
month = apr,

note = {Flood hazard maps display the geographical areas inundated by water bodies after extreme rainfall events take place, helping governments focus their efforts and resources on performing works to mitigate disasters produced by such inundations. However, rainfall also triggers small disasters at other moments, which are not included in these maps, such as traffic impedance and water-borne diseases, both inside and outside the mapped floodplain.
Unfortunately, small disasters are overlooked in traditional risk management for being tolerable, mild, and scattered. Though they do occur with high frequency, and citizens and utility companies must constantly attend them. Besides, it is challenging to get data sources to describe them accurately. Therefore, efforts should be made to base analyses on available on-site reports. Mitigation of small disasters triggered by rainfall can save money to build resilience, foster the development of a city, and reduce inequality.
This research seeks to relate the occurrence and types of small disasters triggered by rainfall to rainfall parameters and neighborhood attributes, and to prioritize neighborhoods for intervention in Cali, Colombia, for which secondary data is collected and its suitability evaluated for this sort of analysis; once small disasters are counted and characterized, an estimation of their potential economic impact is proposed; finally, the impact of rainfall events on the drainage network in a selected neighborhood is simulated through a hydrodynamic model, which includes scenarios such as obstructed pipelines, and low impact development solutions (LIDS) installed, in order to better understand the influence of ground and underground conditions on nuisance floods.
Contributions provided here about correlation analysis, hydrodynamic simulations, and diagnosis of information gaps are useful to prioritize areas in other cities, to follow better data gathering practices, and to understand the potential economic losses if prompt action is not taken.},

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