Brightway Flows 1.0
GitHub

Identity

Substance
fo-ae5da0c593668b10 Neutral molecule
Source
EF 3.1
Unit
kg
Context
Environmental → Air → Medium stack, <150 meters → Rural (<1000 people/square mile)
CAS
67-64-1
EC
200-662-2

Context

Dimension
Environmental
Media
Air
Population density
Rural (<1000 people/square mile)
Strata
Medium stack, <150 meters

Alternative labels

17

Source lists

5
List Version Source flow Name there Why this flow
EF 3.1 08a91e70-3ddc-11dd-9523-0050c2490048 acetone The consensus list is built from this one, so this row is the flow itself rather than something matched to it.
agribalyse 3.2 91e355b6-76cf-544f-a423-d040acc7a917 Acetone The CAS numbers are the same (67-64-1); both name the same compartment.
bafu 2026-v1 c6cd80e1-7e55-5495-ac05-8460a555b14f Acetone The CAS numbers are the same (67-64-1); both name the same compartment.
ecoinvent 3.12 7a2d7097-20c4-4b5f-b2ee-bcfc2ba1378f Acetone The CAS numbers are the same (67-64-1); both name the same compartment.
ecoinvent 3.8 7a2d7097-20c4-4b5f-b2ee-bcfc2ba1378f Acetone The CAS numbers are the same (67-64-1); both name the same compartment.

Concept associations

5
Source list Source flow Name there Compartment there Match Conversion
EF 3.1 08a91e70-3ddc-11dd-9523-0050c2490048 acetone Emissions/Emissions to air/Emissions to non-urban air or from high stacks exactMatch
ecoinvent 3.12 7a2d7097-20c4-4b5f-b2ee-bcfc2ba1378f Acetone air / non-urban air or from high stacks closeMatch
ecoinvent 3.8 7a2d7097-20c4-4b5f-b2ee-bcfc2ba1378f Acetone air / non-urban air or from high stacks closeMatch
bafu 2026-v1 c6cd80e1-7e55-5495-ac05-8460a555b14f Acetone emissions to air / low. pop. closeMatch
agribalyse 3.2 91e355b6-76cf-544f-a423-d040acc7a917 Acetone Emissions to air / low. pop. closeMatch

Characterisation factors

25

Every implementation that says anything about this flow. Published as is what this list did with the row: where more than one implementation states a number and they agree it publishes it as agreed; where only one speaks, as sole; where they disagree it publishes nothing and asks.

Method Implementation Category Place Factor Published as
EF 3.1 European Commission — JRC Ecotoxicity, freshwater 0.23884
EF 3.1 ecoinvent Centre Ecotoxicity, freshwater 0.23884
EF 3.1 GreenDelta Ecotoxicity, freshwater 0.23884
EF 3.1 consensus-flow-list Ecotoxicity, freshwater 0.23884 agreed
EF 3.1 European Commission — JRC Ecotoxicity, freshwater_organics 0.23884
EF 3.1 ecoinvent Centre Ecotoxicity, freshwater_organics 0.23884
EF 3.1 GreenDelta Ecotoxicity, freshwater_organics 0.23884
EF 3.1 consensus-flow-list Ecotoxicity, freshwater_organics 0.23884 agreed
EF 3.1 European Commission — JRC Human toxicity, non-cancer 1.9303e-09
EF 3.1 ecoinvent Centre Human toxicity, non-cancer 1.9303e-09
EF 3.1 GreenDelta Human toxicity, non-cancer 1.9303e-09
EF 3.1 consensus-flow-list Human toxicity, non-cancer 1.9303e-09 agreed
EF 3.1 European Commission — JRC Human toxicity, non-cancer_organics 1.9303e-09
EF 3.1 ecoinvent Centre Human toxicity, non-cancer_organics 1.9303e-09
EF 3.1 GreenDelta Human toxicity, non-cancer_organics 1.9303e-09
EF 3.1 consensus-flow-list Human toxicity, non-cancer_organics 1.9303e-09 agreed
EF 3.1 European Commission — JRC Photochemical ozone formation - human health 0.159
EF 3.1 ecoinvent Centre Photochemical ozone formation - human health 0.159
EF 3.1 GreenDelta Photochemical ozone formation - human health 0.159
EF 3.1 consensus-flow-list Photochemical ozone formation - human health 0.159 agreed
Stepwise 2006 consensus-flow-list Ecotoxicity, aquatic 0.075369 carried
Stepwise 2006 consensus-flow-list Ecotoxicity, terrestrial 0.013822 carried
Stepwise 2006 consensus-flow-list Human toxicity, non-carc. 0.011512 carried
Stepwise 2006 consensus-flow-list Photochemical ozone, vegetat. 274.5 carried
Stepwise 2006 consensus-flow-list Respiratory organics 0.0342 carried

This flow in the difference report

History

The change log and the PROV-O trail (2 consensus changes)

Open the changes page

These are the heaviest sections of this page and the least often read, so the page does not pay for them until you ask.

Full record

Flow JSON
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    "unit_iri": "unit_normalization",
    "properties": "normalise_property_values",
    "skos_definition": "enrich_references",
    "references": "enrich_references",
    "altLabel": "strip_catalogue_altlabels",
    "cas_match_labels": "consensus_match",
    "concept_associations": "carry_associations_onto_flows",
    "types": "link_flows_to_their_substance"
  },
  "cas_match_labels": {
    "67-64-1": "exactMatch"
  },
  "_transformed": true,
  "_provided": {
    "name": "acetone",
    "synonyms": [
      ".beta.-Ketopropane",
      "2-propanone",
      "A0054",
      "AC1L18NO",
      "ACETONE, ACS",
      "ACETONE, HPLC",
      "AKOS000120890",
      "Aceton",
      "Aceton [German, Dutch, Polish]",
      "Acetone (NF)",
      "Acetone (TN)",
      "Azeton",
      "Chevron acetone",
      "Dimethyl formaldehyde",
      "Dimethyl ketone",
      "Dimethylformaldehyde",
      "Dimethylketal",
      "Dimethylketon",
      "Ketone propane",
      "Ketone, dimethyl",
      "Ketone, dimethyl-",
      "Methyl ketone",
      "Propanon",
      "Pyroacetic acid",
      "Pyroacetic ether",
      "beta-Ketopropane",
      "dimethylcetone",
      "dimethylketone",
      "nchem.180-comp8",
      "propan-2-one",
      "propanone"
    ],
    "context": [
      "Emissions",
      "Emissions to air",
      "Emissions to non-urban air or from high stacks"
    ],
    "cas_numbers": [
      "67-64-1"
    ],
    "ec_numbers": [
      "200-662-2"
    ],
    "unit": "kg"
  }
}

Something wrong here?

A flow can be wrong in three ways, and they are decided differently. Pick the one that matches what you are looking at.

You do not need to run a build or clone anything. Name the row and say what your evidence is; the measurement is done for you. How contributing works

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