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Visar resultat 1 - 5 av 164 avhandlingar som matchar ovanstående sökkriterier.
1. Groundwater Recharge in Crystalline Bedrock : Processes, Estimation, and Modelling
Sammanfattning : Kunskap om grundvattenbildningen är nödvändig för att man ska kunna förutsäga konsekvenserna av grundvattenuttag och underjordsbyggande. Grundvattenbildningen i berggrunden är dock svår att uppskatta. LÄS MER
2. Estimering av efterfrågan på långväga persontransporter : En ekonomisk-teoretisk belysning av gängse modeller samt en ny ansats till uppskattning av efterfrågesamband
Sammanfattning : This dissertation deals with the estimation of intercity travel demand. The purpose is to discuss the derivations and characteristics of existing models, to derive a demand model based on microeconomic theory and to estimate the parameters of the model in order to gain information on important characteristics of the transport system. LÄS MER
3. Reliability-based fatigue assessment of existing steel bridges
Sammanfattning : Fatigue is among the most critical forms of deterioration damage that occurs tosteel bridges. It causes a decline of the safety level of bridges over time. Therefore,the performance of steel bridges, which may be seriously affected by fatigue, shouldbe assessed and predicted. LÄS MER
4. Strong Cosmic Censorship and Cosmic No-Hair in spacetimes with symmetries
Sammanfattning : This thesis consists of three articles investigating the asymptotic behaviour of cosmological spacetimes with symmetries arising in Mathematical General Relativity.In Paper A and B, we consider spacetimes with Bianchi symmetry and where the matter model is that of a perfect fluid. LÄS MER
5. Observational Uncertainties in Water-Resources Modelling in Central America : Methods for Uncertainty Estimation and Model Evaluation
Sammanfattning : Knowledge about spatial and temporal variability of hydrological processes is central for sustainable water-resources management, and such knowledge is created from observational data. Hydrologic models are necessary for prediction for time periods and areas lacking data, but are affected by observational uncertainties. LÄS MER