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Dispersion and Transport","monthly_downloads":17,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# GasDispersion.jl\n[![LICENSE](https://img.shields.io/badge/license-MIT-lightgrey.svg)](https://github.com/aefarrell/GasDispersion.jl/blob/main/LICENSE)\n[![Stable Documentation](https://img.shields.io/badge/docs-stable-blue)](https://aefarrell.github.io/GasDispersion.jl/stable/)\n[![Dev Documentation](https://img.shields.io/badge/docs-dev-blue)](https://aefarrell.github.io/GasDispersion.jl/dev/)\n[![Build Status](https://github.com/aefarrell/GasDispersion.jl/workflows/CI/badge.svg)](https://github.com/aefarrell/GasDispersion.jl/actions)\n[![Coverage](https://codecov.io/gh/aefarrell/GasDispersion.jl/branch/main/graph/badge.svg?token=PB3LOR80K2)](https://codecov.io/gh/aefarrell/GasDispersion.jl)\n\nGasDispersion.jl is a set of tools for atmospheric dispersion modeling of\ngaseous releases, such as might occur during an emergency at a chemical plant\nor more  routinely from a stack. This is intended to be the level of disperson\nmodeling used support consequence analysis or QRA such as is described in *Lee's\nLoss Prevention in the Process Industries* or the CCPS *Guidelines for\nConsequence Analysis of Chemical Releases*.\n\n## Installation\n\nGasDispersion.jl can be installed using Julia's built-in package manager. In a\nJulia session, enter the package manager mode by hitting `]`, then run the\ncommand\n\n```\npkg\u003e add GasDispersion\n```\n\n\n## Example usage\n\nSuppose we wish to model the dispersion of gaseous propane from a leak from a storage tank, where the leak is from a 10mm hole that is 3.5m above the ground and the propane is at 25°C and 4barg. Assume the discharge coefficient $c_{D} = 0.85$. This scenario is adapted from CCPS *Guidelines for Consequence Analysis of Chemical Releases*\n\nFirst we define the scenario\n\n```julia\nusing GasDispersion\n\npropane = Substance(name=\"propane\",\n              molar_weight=0.044096,     # kg/mol\n              liquid_density=526.13,     # kg/m³\n              k=1.142,\n              boiling_temp=231.02,       # K\n              latent_heat=425740,        # J/kg\n              gas_heat_capacity=1678,    # J/kg/K\n              liquid_heat_capacity=2520) # J/kg/K\n\nPatm = 101325 # Pa\nP1 = 4e5 + Patm # Pa\nT1 = 25 + 273.15 # K\n\nscn = scenario_builder(propane, JetSource(); \n       phase = :gas,\n       diameter = 0.01,  # m\n       dischargecoef = 0.85,\n       temperature = T1, # K\n       pressure = P1,    # Pa\n       height = 3.5)     # m, height of hole above the ground\n```\n\nThis generates a `Scenario` defined for a gas jet discharging into dry air\nat standard conditions. \n\nAn alternative to supplying all of the substance properties, which can get\nrather onerous, is to use the library of substances and equations of state\nprovided in [Clapeyron.jl](https://github.com/ClapeyronThermo/Clapeyron.jl)\n\n```julia\nusing GasDispersion, Clapeyron\n\npropane = Substance(PropaneRef()) # uses an empirical EoS for propane\n\npropane = Substance(PR(\"propane\"; idealmodel=ReidIdeal)) # uses the Peng-Robinson EoS\n```\n\nOnce we have this defined we can determine the\nconcentration at any point downwind of the release point, assuming the release\nis a continuous plume, using\n\n```julia\np = plume(scn, GaussianPlume())\n```\n\nWhere `p` is a callable which returns the concentration (in vol fraction) at any point. For example at 100m downwind and at a height of 2m\n\n```julia\np(100,0,2)\n\n# output\n\n0.0002006455298894473\n\n```\n\nSee [the documentation](https://aefarrell.github.io/GasDispersion.jl/dev/) for details on the additional plume and puff models and worked examples.\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/59796","html_url":"https://ost.ecosyste.ms/projects/59796"}