Brightway Flows 1.0
GitHub

Identity

Substance
fo-067b5f2cd91dfd1d Neutral molecule
Source
EF 3.1
Unit
kg
Context
Environmental → Air → Medium stack, <150 meters → Rural (<1000 people/square mile)
CAS
75-09-2
EC
200-838-9

Context

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

Alternative labels

19

Source lists

5
List Version Source flow Name there Why this flow
EF 3.1 08a91e70-3ddc-11dd-961b-0050c2490048 dichloromethane The consensus list is built from this one, so this row is the flow itself rather than something matched to it.
agribalyse 3.2 0cacf384-dd8e-5108-94df-1a7c5b6365f0 Methane, dichloro-, HCC-30 The CAS numbers are the same (75-09-2); both name the same compartment.
bafu 2026-v1 3c8797b1-a80f-5835-b435-b11bd454793f Methane, dichloro-, HCC-30 The CAS numbers are the same (75-09-2); both name the same compartment.
ecoinvent 3.12 d4b61c6c-a620-4a91-afc6-ca87ef97b55a Dichloromethane The CAS numbers are the same (75-09-2); both name the same compartment.
ecoinvent 3.8 d4b61c6c-a620-4a91-afc6-ca87ef97b55a Methane, dichloro-, HCC-30 The CAS numbers are the same (75-09-2); both name the same compartment.

Concept associations

5
Source list Source flow Name there Compartment there Match Conversion
EF 3.1 08a91e70-3ddc-11dd-961b-0050c2490048 dichloromethane Emissions/Emissions to air/Emissions to non-urban air or from high stacks exactMatch
ecoinvent 3.12 d4b61c6c-a620-4a91-afc6-ca87ef97b55a Dichloromethane air / non-urban air or from high stacks closeMatch
ecoinvent 3.8 d4b61c6c-a620-4a91-afc6-ca87ef97b55a Dichloromethane air / non-urban air or from high stacks closeMatch
bafu 2026-v1 3c8797b1-a80f-5835-b435-b11bd454793f Dichloromethane emissions to air / low. pop. closeMatch
agribalyse 3.2 0cacf384-dd8e-5108-94df-1a7c5b6365f0 Dichloromethane Emissions to air / low. pop. closeMatch

Characterisation factors

41

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 Climate change 11.2
EF 3.1 ecoinvent Centre Climate change 11.2
EF 3.1 GreenDelta Climate change 11.2
EF 3.1 consensus-flow-list Climate change 11.2 agreed
EF 3.1 European Commission — JRC Climate change-Fossil 11.2
EF 3.1 ecoinvent Centre Climate change-Fossil 11.2
EF 3.1 GreenDelta Climate change-Fossil 11.2
EF 3.1 consensus-flow-list Climate change-Fossil 11.2 agreed
EF 3.1 European Commission — JRC Ecotoxicity, freshwater 0.78047
EF 3.1 ecoinvent Centre Ecotoxicity, freshwater 0.78047
EF 3.1 GreenDelta Ecotoxicity, freshwater 0.78047
EF 3.1 consensus-flow-list Ecotoxicity, freshwater 0.78047 agreed
EF 3.1 European Commission — JRC Ecotoxicity, freshwater_organics 0.78047
EF 3.1 ecoinvent Centre Ecotoxicity, freshwater_organics 0.78047
EF 3.1 GreenDelta Ecotoxicity, freshwater_organics 0.78047
EF 3.1 consensus-flow-list Ecotoxicity, freshwater_organics 0.78047 agreed
EF 3.1 European Commission — JRC Human toxicity, cancer 3.2689e-08
EF 3.1 ecoinvent Centre Human toxicity, cancer 3.2689e-08
EF 3.1 GreenDelta Human toxicity, cancer 3.2689e-08
EF 3.1 consensus-flow-list Human toxicity, cancer 3.2689e-08 agreed
EF 3.1 European Commission — JRC Human toxicity, cancer_organics 3.2689e-08
EF 3.1 ecoinvent Centre Human toxicity, cancer_organics 3.2689e-08
EF 3.1 GreenDelta Human toxicity, cancer_organics 3.2689e-08
EF 3.1 consensus-flow-list Human toxicity, cancer_organics 3.2689e-08 agreed
EF 3.1 European Commission — JRC Human toxicity, non-cancer 3.8228e-07
EF 3.1 ecoinvent Centre Human toxicity, non-cancer 3.8228e-07
EF 3.1 GreenDelta Human toxicity, non-cancer 3.8228e-07
EF 3.1 consensus-flow-list Human toxicity, non-cancer 3.8228e-07 agreed
EF 3.1 European Commission — JRC Human toxicity, non-cancer_organics 3.8228e-07
EF 3.1 ecoinvent Centre Human toxicity, non-cancer_organics 3.8228e-07
EF 3.1 GreenDelta Human toxicity, non-cancer_organics 3.8228e-07
EF 3.1 consensus-flow-list Human toxicity, non-cancer_organics 3.8228e-07 agreed
EF 3.1 European Commission — JRC Photochemical ozone formation - human health 0.115
EF 3.1 ecoinvent Centre Photochemical ozone formation - human health 0.115
EF 3.1 GreenDelta Photochemical ozone formation - human health 0.115
EF 3.1 consensus-flow-list Photochemical ozone formation - human health 0.115 agreed
Stepwise 2006 consensus-flow-list Ecotoxicity, aquatic 0.841118 carried
Stepwise 2006 consensus-flow-list Ecotoxicity, terrestrial 0.496475 carried
Stepwise 2006 consensus-flow-list Global warming, fossil 11.2 carried
Stepwise 2006 consensus-flow-list Human toxicity, carcinogens 0.193526 carried
Stepwise 2006 consensus-flow-list Human toxicity, non-carc. 0.045216 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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        "prov:hadPrimarySource": [
          "ecoinvent:3.8:d4b61c6c-a620-4a91-afc6-ca87ef97b55a",
          "Dichloromethane",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=cas:75-09-2",
          "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:75-09-2);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/bafu/2026-v1/flow/3c8797b1-a80f-5835-b435-b11bd454793f",
        "skos:prefLabel": "Dichloromethane",
        "context": "emissions to air / low. pop.",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:closeMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-961b-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-961b-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_bafu",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "bafu:2026-v1:3c8797b1-a80f-5835-b435-b11bd454793f",
          "Dichloromethane",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=cas:75-09-2",
          "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:75-09-2);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/0cacf384-dd8e-5108-94df-1a7c5b6365f0",
        "skos:prefLabel": "Dichloromethane",
        "context": "Emissions to air / low. pop.",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:closeMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-961b-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-961b-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_agribalyse",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "agribalyse:3.2:0cacf384-dd8e-5108-94df-1a7c5b6365f0",
          "Dichloromethane",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=cas:75-09-2",
          "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:75-09-2);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": {
    "75-09-2": "exactMatch"
  },
  "_transformed": true,
  "_provided": {
    "name": "dichloromethane",
    "synonyms": [
      "300062X",
      "AB1004055",
      "AC1L1MBL",
      "AC1O5DP8",
      "AC1Q3UP8",
      "Aerothene MM",
      "AmbotzSOL-002",
      "Bichloride, Methylene",
      "CH2Cl2",
      "CPD-681",
      "Chloride, Methylene",
      "Chlorure de methylene",
      "DICHLOROMETHANE, ACS",
      "DICHLOROMETHANE, NF",
      "Dichloride, Methylene",
      "Dichlormethan",
      "F 30",
      "F 30 (chlorocarbon)",
      "Freon 30",
      "HCC 30",
      "Khladon 30",
      "L023970",
      "METHYLENE CHLORIDE (DICHLOROMETHANE)",
      "Metaclen",
      "Methane dichloride",
      "Methane, dichloro-",
      "Methylenchlorid",
      "Methylene bichloride",
      "Methylene chloride",
      "Methylene chloride (NF)",
      "Methylene dichloride",
      "Methylenum chloratum",
      "Metylenu chlorek",
      "NCI-C50102",
      "NCIMech_000221",
      "Narkotil",
      "Not Available",
      "Plastisolve",
      "QMABHXaIh@",
      "R 30",
      "R30 (refrigerant)",
      "Refrigerant 30",
      "S0621",
      "Solaesthin",
      "Soleana VDA",
      "Solmethine"
    ],
    "context": [
      "Emissions",
      "Emissions to air",
      "Emissions to non-urban air or from high stacks"
    ],
    "cas_numbers": [
      "75-09-2"
    ],
    "ec_numbers": [
      "200-838-9"
    ],
    "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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