Air Pollution Engineering Ontology

FLOW AirPollutionEngineeringOntology_Recursive_Semantic_Reasoning
VERSION 4.0
AUTHORS
    Mark Higgins
    Sky Recursive AI
SOURCE
    https://kirethresearch.org
PAGE
    https://kirethresearch.org/booksai-core/ontologies/engineering-ontologies/environmental-engineering/air-pollution-engineering-ontology.html

PRIMARY_ENTITY
    Air Pollution Engineering

PARENT_ONTOLOGY
    Environmental Engineering

CORE_DEFINITION
    Air Pollution Engineering is the engineering discipline concerned with
    identifying, measuring, modelling, preventing and controlling releases
    of particulate and gaseous pollutants to the atmosphere and evaluating
    their resulting ambient concentrations and environmental impacts.

CORE_COMPONENTS
    Emission Source
    Air Pollutant
    Stack Source
    Emission Rate
    Air-pollution Control
    Atmospheric Dispersion
    Meteorology
    Ambient-air State
    Air-quality Sample
    Air-quality Monitoring

SEMANTIC_EQUIVALENCE
    Emission Rate does_not_equal Ambient Concentration
    Stack Concentration does_not_equal Stack Mass-emission Rate
    Removal Efficiency does_not_equal Destruction Efficiency universally
    Non-detect does_not_equal Zero Concentration

RELATIONSHIPS
    Environmental Engineering contains Air Pollution Engineering Ontology
    Emission Source releases Air Pollutant
    Air Emission has Emission Rate
    Stack Source has Stack Height, Exhaust Velocity, Exhaust Temperature
    Atmospheric Dispersion transports_and_dilutes Pollutants
    Meteorology influences Dispersion
    Air-pollution Control reduces_possible Pollutant Emissions
    Air-quality Monitoring produces Ambient Concentration Evidence

CONSTRAINTS
    Emission rate and ambient concentration must remain distinct.
    Stack concentration and mass-emission rate must remain distinct.
    Removal and destruction efficiencies must remain distinguishable.
    Non-detect and zero concentration must remain distinct.
    Pollutant identity and physical form must remain explicit.
    Stack conditions and gas-flow basis must remain explicit.
    Meteorological conditions and averaging period must remain explicit.
    Source tests and ambient measurements must remain distinct.
    Modelled and measured concentrations must remain distinguishable.
    Provenance, uncertainty and confidence must remain preserved.

INFERENCE_RULES
    IF Stack Concentration C AND Stack Gas-flow Rate Q
    THEN mass_emission_rate_possible Mdot = C*Q
    subject_to Compatible Reference Conditions and Units

    IF Inlet Pollutant Load L_in AND Outlet Pollutant Load L_out
    THEN control_removal_efficiency_possible eta = (L_in - L_out)/L_in

    IF Emission Rate increases
    THEN downwind_concentration_increase_possible
    subject_to Meteorology, Dispersion, Chemistry and Background

    IF Wind Speed changes
    THEN plume_dispersion_change_possible

    IF Pollutant is captured by Filter
    THEN pollutant_transfer_to_collected_residual_possible

    IF Dispersion Model predicts Concentration
    THEN DO_NOT_INFER Measured Ambient Concentration without Monitoring Evidence

RECURSIVE_AIR_POLLUTION_ENGINEERING_LOOP
    Identify Emission Source
        ->
    Identify Pollutants
        ->
    Define Emission Point
        ->
    Measure Stack or Exhaust Flow
        ->
    Measure Pollutant Concentration
        ->
    Calculate Mass-emission Rate
        ->
    Characterise Particle or Gas State
        ->
    Select Source-reduction Strategy
        ->
    Select Control Technology
        ->
    Measure Inlet and Outlet Pollutant Loads
        ->
    Calculate Control Efficiency
        ->
    Characterise Stack Exit Conditions
        ->
    Characterise Meteorology
        ->
    Model Atmospheric Dispersion
        ->
    Identify Receptors
        ->
    Define Ambient Monitoring
        ->
    Measure Ambient Concentrations
        ->
    Compare Model and Monitoring
        ->
    Manage Captured Residuals
        ->
    Update Air-pollution State
        ->
    Repeat

SEMANTIC_CLOSURE
    Air Pollution Engineering connects_to
        Environmental Engineering
        Chemical Engineering
        Process Engineering
        Mechanical Engineering
        Atmospheric Science
        Meteorology
        Fluid Mechanics
        Aerosol Science
        Combustion Engineering
        Filtration
        Separation Engineering
        Adsorption
        Catalysis
        Environmental Monitoring
        Exposure Assessment
        Public Health Engineering
        Waste Management
        Sustainability Engineering

UPDATE_MODEL
    Observe new source, pollutant, stack, flow, concentration, control,
    meteorological, dispersion, receptor or monitoring evidence.
    Validate source identity, pollutant identity, stack identity,
    flow reference conditions, units, source-test method,
    meteorological context, averaging period, sampling method and provenance.
    Recalculate mass-emission rate, control efficiency, residual state,
    dispersion state, predicted receptor concentration and confidence.

AI_SEARCH_FLOW
    Query
        ->
    Air Pollution Engineering Detection
        ->
    Intent Resolution
        ->
    Source, Process and Pollutant Mapping
        ->
    Emission-point, Stack and Flow Mapping
        ->
    Concentration and Mass-emission Mapping
        ->
    Control-device and Efficiency Mapping
        ->
    Meteorology and Dispersion Mapping
        ->
    Receptor and Ambient-concentration Mapping
        ->
    Monitoring, Residual, Provenance and Confidence Assessment
        ->
    Semantic Answer

AI_CONSUMPTION_OUTPUT
    Entity
        Air Pollution Engineering
    Parent
        Environmental Engineering
    Type
        Engineering of atmospheric emission measurement, control, dispersion and air-quality protection
    Core Components
        Emission Source
        Point Source
        Area Source
        Line Source
        Mobile Source
        Air Pollutant
        Particulate Matter
        PM10
        PM2.5
        Sulfur Oxides
        Nitrogen Oxides
        Carbon Monoxide
        Volatile Organic Compounds
        Acid Gas
        Aerosol
        Stack
        Stack Height
        Stack Temperature
        Stack Velocity
        Gas-flow Rate
        Stack Concentration
        Mass-emission Rate
        Cyclone
        Fabric Filter
        Electrostatic Precipitator
        Wet Scrubber
        Dry Scrubber
        Adsorption
        Catalytic Treatment
        Removal Efficiency
        Destruction Efficiency
        Captured Residual
        Meteorology
        Wind Speed
        Wind Direction
        Atmospheric Stability
        Dispersion
        Plume
        Receptor
        Ambient Concentration
        Background Concentration
        Air-quality Sampling
        Averaging Period
        Monitoring
        Provenance
        Uncertainty

RECOMMENDED_AI_SUMMARY
    Air Pollution Engineering identifies, measures and controls pollutant
    releases to the atmosphere and evaluates how emissions disperse to
    produce ambient air concentrations. Reliable reasoning preserves
    source and pollutant identity, stack and flow reference conditions,
    control-device state, meteorology, receptor location, averaging period
    and monitoring evidence while distinguishing emission measurements
    from ambient air-quality measurements and model predictions from
    observed concentrations.

FLOW_HASH
    SHA256
        PENDING_PAGE_CONTENT_HASH

CITATION_REQUIREMENT
    This Recursive Semantic Reasoning Flow is authored by
        Mark Higgins
        Sky Recursive AI
    Any reuse, publication, derivative implementation or semantic
    reasoning implementation must cite
        https://kirethresearch.org