Data analysis and hydrological modelling of rainfall and discharge extremes along the Tione River: implications for the design of water structures

Ciarlo, Ilaria (2023) Data analysis and hydrological modelling of rainfall and discharge extremes along the Tione River: implications for the design of water structures. [Laurea magistrale], Università di Bologna, Corso di Studio in Civil engineering [LM-DM270], Documento full-text non disponibile
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Abstract

There are many natural events that can negatively affect the urban ecosystem, but weather-climate variations are certainly among the most significant. The history of settlements has been characterized by extreme events like earthquakes and floods, which repeat themselves at different times, causing extensive damage to the built heritage on a structural and urban scale. Changes in climate also alter various climatic subsystems, changing rainfall regimes and hydrological cycles, increasing the frequency and intensity of extreme precipitation events (heavy rainfall).  From an hydrological risk perspective, it is crucial to understand future events that could occur and their magnitude in order to design safer infrastructures. Unfortunately, it is not easy to understand future scenarios as the complexity of climate is enormous.  For this thesis, precipitation and discharge extremes were primarily used as data sources. It is important to underline that the two data sets are not separated: changes in rainfall regime, due to climate change, could significantly affect overflows into receiving water bodies. It is imperative that we understand and model climate change effects on water structures to support the development of adaptation strategies.   The main purpose of this thesis is to search for suitable water structures for a road located along the Tione River. Therefore, through the analysis of the area from a hydrological point of view, we aim to guarantee the safety of the infrastructure over time.   The observations made have the purpose to underline how models such as a stochastic one can improve the quality of an analysis for design purposes, and influence choices.

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Ciarlo, Ilaria
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
Infrastructure Design in River Basins
Ordinamento Cds
DM270
Parole chiave
water structures,hydrology,climate change,stochastic model,rainfall analysis
Data di discussione della Tesi
2 Febbraio 2023
URI

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