An interactive atmospheric dispersion model for simulation and visualisation of industrial plant emissions. Written in Rust, compiled to WebAssembly (Wasm) using wasm-pack, runs fully in the browser.
LIVE EXAMPLE can be found here: https://joshuanunn.co.uk/really-simple-dispersion-wasm/example
In the live example above, the properties of the industrial source and the weather conditions can be tweaked to see the effect on dispersion. Each change will plot average concentrations for a single hour. The Simulate button can be used to run a simulation for the specified number of hours of random weather conditions, which builds up a picture of how concentrations may look time-averaged over a longer period with varied conditions.
This project has also been implemented fully in JavaScript in order to compare performance. The corresponding JS code and live demo can be found at https://github.com/joshuanunn/really-simple-dispersion.
This is Gaussian based dispersion model, which is a mathematical simulation of how air pollution disperses in the atmosphere. The form of the plume exiting a stack at a given height is derived from the overall Gaussian plume equation below, which describes the pollutant concentration at a single position (x,y,z) in a plume referenced coordinate system. The sigma plume formulas σy and σz are power-law or logarithmic functions which vary with meteorological conditions. Briggs plume rise formulas are used to add an additional plume rise due to the buoyancy or momentum of the plume. A typical schematic of a plume is shown below (centre).
The plume is visualised by mapping concentrations onto a regular gridded areas, which are effectively 2D slices through a 3D plume. Typical outputs showing simulated ground level emissions over a 5km x 5km area centred on an industrial facility time-averaged over 20 hours is shown below (left). The corresponding side elevation profile of the plume average cross-section with height up to 1km altitude (right). These are contoured on a log scale (each contour is 10x lower/higher than the next).
NOTE that while this simulation can help with understanding and visualising how Gaussian plume dispersion models work, the ISC-3 model on which it is based has long-since been replaced by modern atmospheric dispersion models such as AERMOD (US) and ADMS (UK).
Most of the core functionality and program state is encapsulated in an RSDM struct. The concentration maps are held in two internal vectors for each plot - one to hold running raw concentrations and another to build a contour map. The default "High" image quality is based on a 500 x 500 element array for the plan view (5km @ 10m pixel spacing) and a 500 x 200 element array for the height profile (5 km @ 10m horizontal spacing and 1km @ 5m vertical spacing). These are converted to png images and returned to the browser on each call.
Before compiling the project to Wasm, you will need to install the standard rust toolchain (rustup, rustc and cargo), and wasm-pack (https://rustwasm.github.io/wasm-pack/installer/). To keep things simple, this project avoids the use of bundlers (like webpack) to package up the generated Wasm files (hence the need for --target web below).
To compile any changes, run the following from the base project directory:
$ wasm-pack build --target web
$ mv pkg/really_simple_dispersion_wasm.js example/
$ mv pkg/really_simple_dispersion_wasm_bg.wasm example/If serving locally, make sure that the server can support the mimetype 'application/wasm' for .wasm files.
Unit tests can then be run by executing the following from the base project directory:
$ cargo testThis software is released under the MIT license MIT.
This software is based upon equations derived from the Industrial Source Complex (ISC-3) atmospheric dispersion model developed by the US EPA. More details can be found in the ISC-3 user guide: http://www.epa.gov/scram001/userg/regmod/isc3v2.pdf.