The use of remote sensing imagery for monitoring recovery in the aftermath of a natural disaster: the Hurricane Katrina Case

Although Recovery is often defined as the less studied and documented phase of the Emergency Management Cycle, a wide literature is available for describing characteristics and sub-phases of this process. Previous works do not allow to gain an overall perspective because of a lack of systematic consistent monitoring of recovery utilizing advanced technologies such as remote sensing and GIS technologies. Taking into consideration the key role of Remote Sensing in Response and Damage Assessment, this thesis is aimed to verify the appropriateness of such advanced monitoring techniques to detect recovery advancements over time, with close attention to the main characteristics of the study event: Hurricane Katrina storm surge. Based on multi-source, multi-sensor and multi-temporal data, the post-Katrina recovery was analysed using both a qualitative and a quantitative approach. The first phase was dedicated to the investigation of the relation between urban types, damage and recovery state, referring to geographical and technological parameters. Damage and recovery scales were proposed to review critical observations on remarkable surge- induced effects on various typologies of structures, analyzed at a per-building level. This wide-ranging investigation allowed a new understanding of the distinctive features of the recovery process. A quantitative analysis was employed to develop methodological procedures suited to recognize and monitor distribution, timing and characteristics of recovery activities in the study area. Promising results, gained by applying supervised classification algorithms to detect localization and distribution of blue tarp, have proved that this methodology may help the analyst in the detection and monitoring of recovery activities in areas that have been affected by medium damage. The study found that Mahalanobis Distance was the classifier which provided the most accurate results, in localising blue roofs with 93.7% of blue roof classified correctly and a producer accuracy of 70%. It was seen to be the classifier least sensitive to spectral signature alteration. The application of the dissimilarity textural classification to satellite imagery has demonstrated the suitability of this technique for the detection of debris distribution and for the monitoring of demolition and reconstruction activities in the study area. Linking these geographically extensive techniques with expert per-building interpretation of advanced-technology ground surveys provides a multi-faceted view of the physical recovery process. Remote sensing and GIS technologies combined to advanced ground survey approach provides extremely valuable capability in Recovery activities monitoring and may constitute a technical basis to lead aid organization and local government in the Recovery management.

Agent-based simulation for renewable energy incentive design

In this thesis, we propose a novel approach to model the diffusion of residential PV systems. For this purpose, we use an agent-based model where agents are the families living in the area of interest. The case study is the Emilia-Romagna Regional Energy plan, which aims to increase the produc- tion of electricity from renewable energy. So, we study the microdata from the Survey on Household Income and Wealth (SHIW) provided by Bank of Italy in order to obtain the characteristics of families living in Emilia-Romagna. These data have allowed us to artificial generate families and reproduce the socio-economic aspects of the region. The families generated by means of a software are placed on the virtual world by associating them with the buildings. These buildings are acquired by analysing the vector data of regional buildings made available by the region. Each year, the model determines the level of diffusion by simulating the installed capacity. The adoption behaviour is influenced by social interactions, household’s economic situation, the environmental benefits arising from the adoption and the payback period of the investment.

"Il pipistrello dai mille colori" di Zélia Gattai: traduzione e commento delle scelte traduttive del racconto brasiliano di sensibilizzazione dell'infanzia verso il rispetto della natura

Abstract in italiano L’oggetto del presente elaborato è una proposta di traduzione dal portoghese all’italiano di un racconto della scrittrice brasiliana Zélia Gattai intitolato "Pipistrelo das mil cores". Il libro ha come fine quello di educare i più piccoli alla tutela della fauna e porre un freno alla crudeltà sugli animali. Questo progetto si divide in tre capitoli: nel primo vengono presentate l’autrice e l’opera, nel secondo la traduzione e, nell’ultimo, vengono commentate le scelte traduttive con particolare attenzione al tipo di pubblico cui il testo è rivolto. Sinopse em português O tema desta dissertação é uma proposta de tradução de português para italiano dum conto da literatura infantil brasileira cujo título é "Pipistrelo das mil cores" escrito por Zélia Gattai. O livro tem o fim de sensibilizar as crianças sobre a salvaguarda da fauna e de pôr fim aos maus tratos infligidos aos animais. Este estudo encontra-se dividido em três capítulos: no primeiro, é apresentada a autora e a obra, no segundo, a tradução e, no terceiro, analizam-se as opções tradutivas com especial atenção para o tipo de leitores aos quais o texto está endereçado. Abstract in English The aim of this dissertation is to translate a piece of Brazilian children’s literature published under the title of "Pipistrelo das mil cores" written by Zélia Gattai from Portuguese into Italian. The objective of the book is to raise awareness of wildlife conservation and of cruelty to animals. This study is divided into three chapters. The first one introduces the author and the book, the second one presents a translation proposal and the last one analyses the translating choices with particular attention to the target audience.

Shyam Selvadurai's Funny Boy: a critical analysis

In this work, I will try to provide an insightful and accessible analysis of Funny Boy, a coming-of-age novel by Sri Lankan Canadian author Shyam Selvadurai. I will provide a brief biography of the author and a concise outline of the historical context. Subsequently, after discussing the novel's structure and its main characteristics, I will proceed to analyze the significance of the novel's title and the role played by ethnicity and sexuality as equivalent sources of alienation, both individually and through their combined agency. To that end, I will focus on what I consider to be the most salient episodes of the novel that, in my opinion, best exemplify the sense of alienation that any individual belonging to a minority group experiences at some point in their lives in mainstream society.