Sökning: "drought forecast"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden drought forecast.
1. Predicting Drought Hazard In Sweden Using Google Earth Engine And Machine Learning Approach
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : Drought, being one the most complex natural hazards, has a significant impact on society. To mitigate the impact and risk, it is crucial to be able to forecast drought, which is a challenging task. Nowadays, with technology innovations, large amounts of remote sensing data is available on the cloud. LÄS MER
2. Testing the potential to evaluate vegetation optical depth with ecosystem water dynamics in a temperate forest
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Warming trends have been associated with drought which induces and heightens agents and factors that cause tree mortality. Remotely sensed observations are increasingly being used in vegetation studies and are obtained from Earth observation satellites. LÄS MER
3. Hydropower forecast in Ethiopia using the HBV model - A case study in Omo-Gibe river basin
Master-uppsats, Lunds universitet/Avdelningen för Teknisk vattenresursläraSammanfattning : Ethiopia produces 86% of its electricity from hydropower source, still they experience frequent power shortages. As they are part of the East African Power Pool, this power shortage is usually made up for by buying energy from other members of the pool. LÄS MER
4. Forecast-based Financing: Developing triggers for drought
Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : Forecast-based Financing (FbF) is a rather new concept within the humanitarian world, which enables actors to act before a likely disaster, based on forecasts. In this study, two scoping studies and five interviews with FbF experts were conducted to find out how to develop useful triggers for drought. LÄS MER
5. Incorporating Indigenous Knowledge in the Local Government’s Early Warning System: A Case Study from Baringo County, Kenya
Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : There is growing interest in using indigenous knowledge to supplement scientific early warning systems within disaster risk reduction. In October 2016, the government in Baringo County, Kenya incorporated indigenous knowledge in a drought scenario building and response-planning workshop. LÄS MER