Publications by authors named "Chenyang Weng"
Article Synopsis
- High-quality remote sensing images are crucial for avalanche forecasting and weather studies in snowy regions, but capturing them accurately is challenging due to sensor limitations and atmospheric conditions.
- The existing ESTARFM method struggles to predict abrupt changes in snow cover, which prompted the development of an improved version called iESTARFM that incorporates NDSI and DEM data for better accuracy.
- Experimental results demonstrate that iESTARFM outperforms ESTARFM by reducing errors in spectral accuracy and improving image clarity, making it a valuable tool for generating detailed time series images in snow-covered areas like the mountains of Nepal.*
The attenuation of sound waves due to interaction with low Mach number turbulent boundary layers in internal flows (channel or pipe flow) is examined. Dynamic equations for the turbulent Reynolds stress on the sound wave are derived, and the analytical solution to the equation provides a frequency dependent eddy viscosity model. This model is used to predict the attenuation of sound propagating in fully developed turbulent pipe flow.
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