研究目的
To assess the attenuation of Low-THz waves through various intensities of snowfall at 300 GHz, categorize snow events as wet or dry, and compare their effects on wave propagation.
研究成果
The study concludes that attenuation increases with snowfall rate for both wet and dry snow, with wet snow causing higher attenuation due to higher water content. The data spread highlights the complexity of snowflake properties and the necessity for developing detailed theoretical models to better understand scattering and absorption mechanisms.
研究不足
Limitations include uncertainties in snowfall characterization due to wind effects, snow accumulation on the target altering reflectivity, and lack of detailed information on snowflake properties (shape, size, water content). The spread in measured data indicates the need for more accurate models.
1：Experimental Design and Method Selection:
The experiment uses a Stepped Frequency Radar (SFR) operating at 300 GHz to measure attenuation through snowfall by comparing received power with and without precipitation. Snow events are categorized based on temperature and water content.
2：Sample Selection and Data Sources:
Snowfall data is collected using a laser disdrometer during three snow events in December 2017 in Birmingham, UK, with measurements of snowfall rate, humidity, and temperature.
3：List of Experimental Equipment and Materials:
Equipment includes a Stepped Frequency Radar (SFR) developed by VivaTech and University of Birmingham, a laser disdrometer (Clima Precipitation Monitor), and a target (Muirhead tower).
4：Experimental Procedures and Operational Workflow:
The radar is placed indoors to avoid radome contamination, pointing at a building target. Received power is measured over a 320 m path, normalized for humidity, with 1-minute integration times. Snowfall rates and types are recorded concurrently.
5：Data Analysis Methods:
Specific attenuation is calculated from power ratios, with linear regression analysis applied to relate attenuation to snowfall rate. Standard deviations are computed to assess data spread.
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