Search for dissertations about: "Hydrology"
Showing result 1 - 5 of 315 swedish dissertations containing the word Hydrology.
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1. Disinformative and Uncertain Data in Global Hydrology : Challenges for Modelling and Regionalisation
Abstract : Water is essential for human well-being and healthy ecosystems, but population growth and changes in climate and land-use are putting increased stress on water resources in many regions. To ensure water security, knowledge about the spatiotemporal distribution of these resources is of great importance. READ MORE
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2. The influence of climate and permafrost on catchment hydrology
Abstract : The cycling of water in the landscape is influenced by climate change on different time scales and in different directions regarding warming or cooling trends. Along with a changing climate, also the landscape and subsurface conditions, such as permafrost extent, may change in a long-term perspective. READ MORE
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3. Spatiotemporal streamflow variability in a boreal landscape : Importance of landscape composition for catchment hydrological functioning
Abstract : The understanding of how different parts of a landscape contribute to streamflow by storing and releasing water has long been a central issue in hydrology. Knowledge about what controls streamflow dynamics across landscapes can further our understanding of how catchments store and release water, facilitate predictions for ungauged catchments, and improve the management of water quality and resources. READ MORE
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4. Water quality modeling based on landscape analysis: importance of riparian hydrology
Abstract : Several studies in high-latitude catchments have demonstrated the importance of near-stream riparian zones as hydrogeochemical hotspots with a substantial influence on stream chemistry. An adequate representation of the spatial variability of riparian-zone processes and characteristics is the key for modeling spatio-temporal variations of stream-water quality. READ MORE
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5. Percolation: Inference and Applications in Hydrology
Abstract : Percolation theory is a branch of probability theory describing connectedness in a stochastic network. The connectedness of a percolation process is governed by a few, typically one or two, parameters. READ MORE