Application of Bayesian Networks to Estimate River Discharges in Ecuador

Student report (2018)

Authors

G.A. Torres Alves Civil Engineering & Geosciences

Contributors

M. Hrachowitz (mentor)
Faculty
Civil Engineering & Geosciences, Civil Engineering & Geosciences
Copyright: © 2018 Gina Torres Alves
More Info
expand_more

Published Date

26-03-2018

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Civil Engineering & Geosciences

Abstract

Ecuadorian cities that are located near banks of rivers or near the sea and that have low elevation respect to sea level are more exposed to floods (MIDUVI, 2015). This research will focus on the study of the Guayas river basin, which encloses the city of Guayaquil, the most populated city of the country with 2’578.201 inhabitants where 993.123 inhabitants live in flood-prone areas (INEC, 2010) that can be translated as the 46.2% of the population of the city.

This research aims to apply the Bayesian Network model proposed by Paprotny & Morales-Nápoles (2017) in the Guayas river basin, and to observe how this model performs in catchments like the ones in Ecuador by comparing it to the previous application in Europe. Other applications of the model (with their corresponding adjustments) were performed in the US and in Colombia, therefore this study can be used as a first step in order to develop a model for Ecuador.

Files

AGW_FINAL1.pdf
(pdf | 3.02 Mb)
Unknown license