Search for dissertations about: "stream networks"
Showing result 1 - 5 of 70 swedish dissertations containing the words stream networks.
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1. Peakflow response of stream networks : implications of physical descriptions of streams and temporal change
Abstract : Through distributed stream network routing, it has quantitatively been shown that the relationship between flow travel time and discharge varies strongly nonlinearly with stream stage and with catchment-specific properties.Physically derived distributions of water travel times through a stream network were successfully used to parameterise the streamflow response function of a compartmental hydrological model. READ MORE
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2. Grow with the flow : Hydrological controls of riparian vegetation in boreal stream networks
Abstract : What drives species diversity across landscapes is one of the most fundamental questions in ecology. Further, understanding the mechanisms underlying species diversity patterns is important not only for forming and challenging ecological theories but also essential for appropriate landscape management and effective nature conservation. READ MORE
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3. The Lagrangian Stochastic Advective-Reactive Approach to Modeling Solute Transport in Hydrological Systems
Abstract : The Lagrangian stochastic advective-reactive modelingapproach has been used for analyzing transport of bothnonreactive and reactive solutes in different hydrologicalsystems (structured soil, groundwater, mining waste rockdeposits and surface waters including single stream and networkof streams) and at different spatio-temporal scales (rangingfrom laboratory column-scale to catchment-scale). Further, afirst step has been taken to extending the Lagrangianstochastic advective-reactive modeling methodology to integratethe soil-groundwater-stream transport through a catchment. READ MORE
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4. Efficient Software Implementation of Stream Programs
Abstract : The way we use computers and mobile phones today requires large amounts of processing of data streams. Examples include digital signal processing for wireless transmission, audio and video coding for recording and watching videos, and noise reduction for the phone calls. READ MORE
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5. Data Stream Mining and Analysis : Clustering Evolving Data
Abstract : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. READ MORE