Sökning: "hydrological modelling"
Visar resultat 1 - 5 av 74 avhandlingar innehållade orden hydrological modelling.
1. Hydrological Seasonal Forecasting
Sammanfattning : In Sweden, almost half of the electricity produced comes from hydropower. However, the amount of water in the reservoir catchments is not evenly distributed throughout the year. During the colder months, precipitation usually falls as snow and accumulates into a snowpack. LÄS MER
2. Environmental Modelling : Learning from Uncertainty
Sammanfattning : Environmental models are important tools; however uncertainty is pervasive in the modeling process. Current research has shown that understanding and representing these uncertainties is critical when decisions are expected to be made from the modeling results. LÄS MER
3. Hydrological and sediment yield modelling in Lake Tana Basin, Blue Nile Ethiopia
Sammanfattning : Land and water resources degradation are the major problems on the Ethiopian highlands. Poor land use practices and improper management systems have played a significant role in causing high soil erosion rates, sediment transport and loss of agricultural nutrients. So far limited meas-ures have been taken to combat the problems. LÄS MER
4. Linking distributed hydrological processes with ecosystem vegetation dynamics and carbon cycling: Modelling studies in a subarctic catchment of northern Sweden
Sammanfattning : The Arctic and Subarctic regions are of particular importance to the global climate change and are now experiencing a climate warming that is higher than the global average. Around 50% of the global soil carbon is stored in high latitude soils, especially in permafrost and peatland soils. LÄS MER
5. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)
Sammanfattning : Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. LÄS MER