Brightway Flows 1.0
GitHub

Identity

Substance
fo-c5ec764b90e6c650 Neutral molecule
Source
EF 3.1
Unit
kg
Context
Environmental → Air → Ground level → Urban (>1000 people/square mile)
CAS
75-07-0
EC
200-836-8

Context

Dimension
Environmental
Media
Air
Population density
Urban (>1000 people/square mile)
Strata
Ground level

Alternative labels

7

Source lists

5
List Version Source flow Name there Why this flow
EF 3.1 fe0acd60-3ddc-11dd-a7a7-0050c2490048 acetaldehyde The consensus list is built from this one, so this row is the flow itself rather than something matched to it.
agribalyse 3.2 cbe59089-c6a0-5236-bb52-db30e1b2dc12 Acetaldehyde The CAS numbers are the same (75-07-0); both name the same compartment.
bafu 2026-v1 568780b4-8a9b-5d61-9951-49bcb8ce1e43 Acetaldehyde The CAS numbers are the same (75-07-0); both name the same compartment.
ecoinvent 3.12 5ad58fcc-e9ba-4155-a3c9-e4ffb3065a6f Acetaldehyde The CAS numbers are the same (75-07-0); both name the same compartment.
ecoinvent 3.8 5ad58fcc-e9ba-4155-a3c9-e4ffb3065a6f Acetaldehyde The CAS numbers are the same (75-07-0); both name the same compartment.

Concept associations

5
Source list Source flow Name there Compartment there Match Conversion
EF 3.1 fe0acd60-3ddc-11dd-a7a7-0050c2490048 acetaldehyde Emissions/Emissions to air/Emissions to urban air close to ground exactMatch
ecoinvent 3.12 5ad58fcc-e9ba-4155-a3c9-e4ffb3065a6f Acetaldehyde air / urban air close to ground closeMatch
ecoinvent 3.8 5ad58fcc-e9ba-4155-a3c9-e4ffb3065a6f Acetaldehyde air / urban air close to ground closeMatch
bafu 2026-v1 568780b4-8a9b-5d61-9951-49bcb8ce1e43 Acetaldehyde emissions to air / high. pop. closeMatch
agribalyse 3.2 cbe59089-c6a0-5236-bb52-db30e1b2dc12 Acetaldehyde Emissions to air / high. pop. closeMatch

Characterisation factors

34

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 1.1012
EF 3.1 ecoinvent Centre Ecotoxicity, freshwater 1.1012
EF 3.1 GreenDelta Ecotoxicity, freshwater 1.1012
EF 3.1 consensus-flow-list Ecotoxicity, freshwater 1.1012 agreed
EF 3.1 European Commission — JRC Ecotoxicity, freshwater_organics 1.1012
EF 3.1 ecoinvent Centre Ecotoxicity, freshwater_organics 1.1012
EF 3.1 GreenDelta Ecotoxicity, freshwater_organics 1.1012
EF 3.1 consensus-flow-list Ecotoxicity, freshwater_organics 1.1012 agreed
EF 3.1 European Commission — JRC Human toxicity, cancer 1.8044e-07
EF 3.1 ecoinvent Centre Human toxicity, cancer 1.8044e-07
EF 3.1 GreenDelta Human toxicity, cancer 1.8044e-07
EF 3.1 consensus-flow-list Human toxicity, cancer 1.8044e-07 agreed
EF 3.1 European Commission — JRC Human toxicity, cancer_organics 1.8044e-07
EF 3.1 ecoinvent Centre Human toxicity, cancer_organics 1.8044e-07
EF 3.1 GreenDelta Human toxicity, cancer_organics 1.8044e-07
EF 3.1 consensus-flow-list Human toxicity, cancer_organics 1.8044e-07 agreed
EF 3.1 European Commission — JRC Human toxicity, non-cancer 9.2612e-07
EF 3.1 ecoinvent Centre Human toxicity, non-cancer 9.2612e-07
EF 3.1 GreenDelta Human toxicity, non-cancer 9.2612e-07
EF 3.1 consensus-flow-list Human toxicity, non-cancer 9.2612e-07 agreed
EF 3.1 European Commission — JRC Human toxicity, non-cancer_organics 9.2612e-07
EF 3.1 ecoinvent Centre Human toxicity, non-cancer_organics 9.2612e-07
EF 3.1 GreenDelta Human toxicity, non-cancer_organics 9.2612e-07
EF 3.1 consensus-flow-list Human toxicity, non-cancer_organics 9.2612e-07 agreed
EF 3.1 European Commission — JRC Photochemical ozone formation - human health 1.08
EF 3.1 ecoinvent Centre Photochemical ozone formation - human health 1.08
EF 3.1 GreenDelta Photochemical ozone formation - human health 1.08
EF 3.1 consensus-flow-list Photochemical ozone formation - human health 1.08 agreed
Stepwise 2006 consensus-flow-list Ecotoxicity, aquatic 0.447569 carried
Stepwise 2006 consensus-flow-list Ecotoxicity, terrestrial 0.075603 carried
Stepwise 2006 consensus-flow-list Human toxicity, carcinogens 0.067818 carried
Stepwise 2006 consensus-flow-list Human toxicity, non-carc. 0.016107 carried
Stepwise 2006 consensus-flow-list Photochemical ozone, vegetat. 793 carried
Stepwise 2006 consensus-flow-list Respiratory organics 0.0988 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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        "@id": "https://vocab.brightway.one/bafu/2026-v1/flow/568780b4-8a9b-5d61-9951-49bcb8ce1e43",
        "skos:prefLabel": "Acetaldehyde",
        "context": "emissions to air / high. pop.",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:closeMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/fe0acd60-3ddc-11dd-a7a7-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/fe0acd60-3ddc-11dd-a7a7-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_bafu",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "bafu:2026-v1:568780b4-8a9b-5d61-9951-49bcb8ce1e43",
          "Acetaldehyde",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=cas:75-07-0",
          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=14",
          "algorithm.selector_reason=exact-context-iri-match",
          "algorithm.score_rule=exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
        ],
        "prov:wasDerivedFrom": "algorithmic_fallback:lookup_order(cas>ec>label);basis(cas:75-07-0);flow_object_candidates(1);elementary_candidates(14);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
      }
    },
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/agribalyse/3.2/flow/cbe59089-c6a0-5236-bb52-db30e1b2dc12",
        "skos:prefLabel": "Acetaldehyde",
        "context": "Emissions to air / high. pop.",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:closeMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/fe0acd60-3ddc-11dd-a7a7-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/fe0acd60-3ddc-11dd-a7a7-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_agribalyse",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
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          "Acetaldehyde",
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          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=15",
          "algorithm.selector_reason=exact-context-iri-match",
          "algorithm.score_rule=exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
        ],
        "prov:wasDerivedFrom": "algorithmic_fallback:lookup_order(cas>ec>label);basis(cas:75-07-0);flow_object_candidates(1);elementary_candidates(15);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
      }
    }
  ],
  "_sources": {
    "prefLabel": "normalize_name_case",
    "name": "bootstrap_labels",
    "synonyms": "bootstrap_labels",
    "context": "default_context_mapping",
    "context_iri": "default_context_mapping",
    "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": {
    "75-07-0": "exactMatch"
  },
  "_transformed": true,
  "_provided": {
    "name": "acetaldehyde",
    "synonyms": [
      "AB1002185",
      "AC1L18NF",
      "AC1Q2CBI",
      "ACETALD",
      "ACETALDEHYDE, ACS",
      "ACETYL GROUP",
      "AKOS000120180",
      "Acetaldehyd",
      "Acetaldehyde polymerized",
      "Acetaldehyde-d4",
      "Acetaldeyde",
      "Aceteldehyde",
      "Acetic ethanol",
      "Acetylaldehyde",
      "Aldehyde C(2)",
      "Aldehyde acetique",
      "Aldeide acetica",
      "Azetaldehyd",
      "CH2CHO",
      "Ethylaldehyde",
      "I14-6219",
      "LTBB001460",
      "NCI-C56326",
      "Octowy aldehyd",
      "QMHAIX@",
      "acetaldehydes",
      "acetic aldehyde",
      "aldehyde",
      "ethaldehyde",
      "ethanal",
      "ethyl aldehyde",
      "nchem.467-comp3",
      "nchembio.172-comp4"
    ],
    "context": [
      "Emissions",
      "Emissions to air",
      "Emissions to urban air close to ground"
    ],
    "cas_numbers": [
      "75-07-0"
    ],
    "ec_numbers": [
      "200-836-8"
    ],
    "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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