Wind Speed
Airflow Velocity
Wave field
Current speed
4.8 m/s
Peak
6.1 m/s at 14:20
Mean
4.3 m/s corridor flow
State
Moderate ventilation
Atmospheric Installation Interface
Airscape / Atmospheric Reading Layer
A lighter environmental dashboard aligned with the motion interface language in the main page. The information remains visual, but now uses the same pastel atmosphere, mono typography, translucent panels and soft gradients as `simulation.html`.
Current Environmental Feed
Wind Speed
Airflow Velocity
Wave field
Current speed
4.8 m/s
Peak
6.1 m/s at 14:20
Mean
4.3 m/s corridor flow
State
Moderate ventilation
Wind Direction
Compass Reading
Southwest
Airflow heading
228° SW
PM2.5
Particle Concentration
Elevated
Current density
68 µg/m³
Temperature / Humidity
Thermal Comfort
Dual display
Surface temperature
31.4°C
Heat Island Effect
Urban Thermal Field
Heat map
Building Density
Urban Mass Index
FAR
Floor area ratio
0.81 FAR
Traffic Emissions
Transport Exhaust
Road layer
Peak corridor
17:30 roadside build-up
Primary driver
Bus + private vehicle mix
Dispersion
Low in sheltered edges
Environmental → Motion Mapping
Translation principle
Environmental data is translated into motion parameters so atmospheric conditions can directly shape the visual wave behaviour.
Wind Speed
Controls the energy of the field and sets the baseline force of movement.
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Wave Amplitude
Higher wind speed produces larger displacement and stronger visible oscillation.
Wind Direction
Determines the prevailing sweep and directional bias of the motion field.
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Turbulence
Directional instability introduces local eddies, turning smooth flow into fluctuating turbulence.
Humidity + Heat Island
Moisture retention and urban heat accumulation increase lingering, layered atmospheric behaviour.
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Wave Complexity
Higher retention produces denser, slower-decaying overlaps and more complex wave interference.
PM2.5 + Traffic Emissions
Particle concentration and roadside exhaust define the intensity of suspended matter in the urban air layer.
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Pollution Density
Higher particle load increases the visual density, opacity and clustering of polluted regions.
Building Density
Urban mass changes how air is channelled, trapped or accelerated across the site.
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Flow Constraint
Dense blocks compress the motion field and amplify localized variation in the wave pattern.
Core mapping logic
Wave Amplitude
Primarily driven by wind speed.
Turbulence
Driven by wind-direction variability and obstruction from dense urban form.
Wave Complexity
Driven by humidity, heat retention and the overlap of multiple atmospheric conditions.
Pollution Density
Driven by PM2.5 concentration, traffic emissions and weak ventilation pockets.
Why this matters
This logic turns environmental sensing into spatial motion behaviour, allowing users to understand invisible atmospheric conditions through visual movement.
System role
The panel acts like a lightweight doc: it clarifies how raw environmental inputs are converted into the motion parameters used by the main Airscape visualization.