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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

A Reinterpretation of the Chanak Crisis through the Lens of the Eastern Question

Benek, Ali 12 August 2016 (has links)
This thesis traces the roots of the Chanak Crisis, which brought Britain and Turkey on the brink of war in September 1922. After the analysis of the British Near Eastern policy throughout the 19th century up until the Chanak Crisis, the author concludes that the confrontation at Chanak was basically a continuation of the Eastern Question, which had revolved around the Anglo-Russian rivalry over the control of the Turkish Straits. While Britain pursued the closure of the Straits until the World War I to prevent Russia accessing to the Mediterranean, the British post-war strategy focused on ensuring the “freedom of the Straits.” The Turkish advance toward Chanak after the victory over Greeks, however, posed a great threat to British plans. In the face of hints of the cooperation between the Turkish Nationalists and Russia, the British government, therefore, took a decision to hold Chanak at the risk of military confrontation.
2

Estimation of Ocean Flow from Satellite Gravity Data and Contributions to Correlation Analysis / Estimaciones del Flujo Oceánico a partir de Gravedad desde Satélite y Contribuciones al Análisis de Correlaciones

Vargas-Alemañy, Juan A. 29 January 2024 (has links)
This thesis, structured in two parts, addresses a series of problems of relevance in the field of Spatial Geodesy. The first part delves into the application of satellite gravity data to enhance our understanding of water transport dynamics. Here, we present two significant contributions. Both are based on satellite gravity data but stem from different mission concepts with distinct objectives: time-variable gravity monitoring and high-resolution, accurate static geoid modelling. First, the fundamental notions about gravity are introduced and a brief summary is made of the different gravity satellite missions throughout history, with emphasis on the GRACE/GRACE-FO and GOCE missions, whose data are the basis of this work. The first application focuses on estimating water transport and geostrophic circulation in the Southern Ocean by leveraging a GOCE geoid and altimetry data. The Volume Transport across the Antartic Circumpolar Current is analyzed and the resulsts are validated validated using the in-situ data collected during the multiple campaigns in the DP. The second application uses time-variable gravity data from the GRACE and GRACE-FO missions to estimate the water cycle in the Mediterranean and Black Sea system, a critical region for regional climate and global ocean circulation. The analysis delves into the analysis of the different components of the hydrological cycle within this region, including the water flow across the Gibraltar Strait, examining their seasonal variations, climatic patterns, and their connection with the North Atlantic Oscillation Index. The second part of the thesis is more focused on data analysis, with the objective of developing mathematical methods to estimate the cross correlation function between two time series that are both unevenly spaced spaced (the sampling is not uniform over time) and observed at unequal time scales (the set of time points for the first series is not identical to the set of time points of the second series). Such time series are frequently encountered in geodetic surveys, especially when combining data from different sources. The estimation of the the cross correlation function for these time series presents unique challenges and requires the adaptation of traditional analysis methods designed for evenly spaced and synchronized time series. The two main contributions in this context are: (i) the study of the asymptotic properties of the Guassian Kernel estimator, that is the recommended estimator for the cross correlation function when the two time series are observed at unequal time scales; (ii) an extension of the stationary bootstrap that allows to construct bootstrap-based confidence intervals for the cross correlation function for unevenly spaced time series not sampled on identical time points.

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