Essays about: "Rain attenuation"
Showing result 1 - 5 of 8 essays containing the words Rain attenuation.
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1. Effects of water-vapor on the Ka/Q band Earth-space radio propagation channel
University essay from Luleå tekniska universitet/RymdteknikAbstract : A higher frequency radio channel both increase the possible data rate and de- crease the required antenna size to efficiently transmit data. Higher frequency also introduce larger weakness to signal loss due to atmospheric effects. Al- phasat satellite conduct experiments for future use of higher frequencies by the Aldo Paraboni Payload. READ MORE
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2. Atmospheric Attenuation for Lidar Systems in Adverse Weather Conditions
University essay from Umeå universitet/Institutionen för fysikAbstract : In this study, the weather impact on lidar signals has been researched. A lidar system was placed with a target at approximately 90 m and has together with a weather station collected data for about a year before this study. READ MORE
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3. A valuation of ecosystem services from blue-green infrastructure for stormwater management
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : The ongoing urbanization leads to densification and growth of cities, which replaces natural areas with hard surfaces. Precipitation is then more likely to runoff as stormwater than to be detained locally. Also, precipitation is predicted to be increasing as an effect of climate change. READ MORE
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4. Using X-band Radar with a Neural Network to Forecast Combined Sewer Flow - A case study in Lund
University essay from Lunds universitet/Avdelningen för Teknisk vattenresursläraAbstract : This study aimed to forecast combined sewer flow into a wastewater treatment plant in Lund, Sweden by using uncalibrated X-band radar data with a neural network. Neural networks have proved themselves useful in the field of forecasting as they can solve multiple kinds of problems and recognise patterns in the data (Alemu et al. READ MORE
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5. Clustering and forecasting for rain attenuation time series data
University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)Abstract : Clustering is one of unsupervised learning algorithm to group similar objects into the same cluster and the objects in the same cluster are more similar to each other than those in the other clusters. Forecasting is making prediction based on the past data and efficient artificial intelligence models to predict data developing tendency, which can help to make appropriate decisions ahead. READ MORE