Wednesday, 23 June 2010
fog performance
Simplified physical modeling of the motion of smoke particles is based on the analysis of such activity in hydromechanics. I use grids to solve Navie-Stokes equationsso that I could simulate realistic smoke.
Simulation of smoke based on number of particle created function
setting the trace of smoke, using digital image to simulate smoke
First of all, I combine Archimedes principle of buoyancy and the natural wind movement to analyze the forces acting on the smoke. Then I assume an ideal gas state to construct basic equations. These equations describe how the smoke moves.
breathing system
I referred to the capillary system in human lung when I decided on the material and shape of the system. I put lighting on each vein. These lights give different colors according to the pollution level. At the same time, different data will result in different shapes of the measuring system. Here I adopted impressionism in picking the colors, so I can describe the smoke better.
Turbines at the bottom of the breathing system; they spread smoke by changing air pressure.
Pollution measuring system
Air quality scanner looks like a radar system. It is installed in various locations on the river terrace to form a monitoring base. Its fan structure rotates to collect data then pass on these to the breathing system through signal. Those blue and green parts are small imaging spectrometers which work in UV and visible light. At night it collects data using its own illumination system and can reach into water to carry out measurements.
Measuring point
Measuring pollution landscape
To measure the impact pollution has on the environment I chose a well-balanced approach. Such obtained measurements are to represent the development of Breathing Motion Landscapes (BML). I would collect data from three landscapes located in East London, which are to serve as the foundation of my study.
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