Brightway Flows 1.0
GitHub

Identity

Substance
fo-ae1315a262379c68 Aggregate measurement
Source
EF 3.1
Unit
kg
Context
Environmental → Air → Long-term
CAS
EC

Context

Dimension
Environmental
Media
Air
Strata
Long-term

Source lists

5
List Version Source flow Name there Why this flow
EF 3.1 08a91e70-3ddc-11dd-9502-0050c2490048 particles (PM2.5 - PM10) The consensus list is built from this one, so this row is the flow itself rather than something matched to it.
agribalyse 3.2 66c940e7-191a-5883-8443-a3f47567d0ab Particulates, > 2.5 um, and < 10um Recorded as algorithmic_fallback on particulate_size_class.
bafu 2026-v1 26489393-3d95-5536-8763-732bfa495b30 Particulates, > 2.5 um, and < 10um Recorded as algorithmic_fallback on particulate_size_class.
ecoinvent 3.12 5716c728-bd33-414d-8691-16e5534f5d37 Particulate Matter, > 2.5 um and < 10um Recorded as algorithmic_fallback on particulate_size_class.
ecoinvent 3.8 5716c728-bd33-414d-8691-16e5534f5d37 Particulates, > 2.5 um, and < 10um Recorded as algorithmic_fallback on particulate_size_class.

Concept associations

5
Source list Source flow Name there Compartment there Match Conversion
EF 3.1 08a91e70-3ddc-11dd-9502-0050c2490048 particles (PM2.5 - PM10) Emissions/Emissions to air/Emissions to air, unspecified (long-term) exactMatch
ecoinvent 3.12 5716c728-bd33-414d-8691-16e5534f5d37 Particulate Matter, > 2.5 Um And < 10um air / low population density, long-term closeMatch
ecoinvent 3.8 5716c728-bd33-414d-8691-16e5534f5d37 Particulates, > 2.5 Um, And < 10um air / low population density, long-term closeMatch
bafu 2026-v1 26489393-3d95-5536-8763-732bfa495b30 Particulates, > 2.5 Um, And < 10um emissions to air / low. pop., long-term closeMatch
agribalyse 3.2 66c940e7-191a-5883-8443-a3f47567d0ab Particulates, > 2.5 Um, And < 10um Emissions to air / low. pop., long-term closeMatch

Characterisation factors

3

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 ecoinvent Centre EF-particulate Matter 5.4854e-05
EF 3.1 GreenDelta EF-particulate Matter 5.4854e-05
EF 3.1 consensus-flow-list EF-particulate Matter 5.4854e-05 ruled

This flow in the difference report

History

The change log and the PROV-O trail (0 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
{
  "altLabel": [],
  "properties": {},
  "references": [],
  "prefLabel": [
    {
      "@value": "Particles (PM2.5 - PM10)",
      "@language": "en",
      "source": {
        "prov:wasGeneratedBy": "bootstrap_labels",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "EF 3.1"
        ],
        "prov:wasDerivedFrom": "legacy name field"
      }
    }
  ],
  "@type": [
    "https://vocab.brightway.one/terms/AggregateMeasurement"
  ],
  "uuid": "08a91e70-3ddc-11dd-9502-0050c2490048",
  "identifier": "08a91e70-3ddc-11dd-9502-0050c2490048",
  "source": "EF 3.1",
  "cas_numbers": [],
  "ec_numbers": [],
  "context": {
    "dimension": "Environmental",
    "media": "Air",
    "strata": "Long-term"
  },
  "synonyms": [],
  "lcia_methods": [],
  "unit": "kg",
  "input_datasets": [
    "EF 3.1"
  ],
  "context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-lote",
  "unit_iri": "https://vocab.brightway.one/units/unit/KiloGM",
  "flow_object_id": "fo-ae1315a262379c68",
  "concept_associations": [
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/ef/3.1/flow/08a91e70-3ddc-11dd-9502-0050c2490048",
        "skos:prefLabel": "particles (PM2.5 - PM10)",
        "context": "Emissions/Emissions to air/Emissions to air, unspecified (long-term)",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:exactMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "build_concept_associations",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "https://eplca.jrc.ec.europa.eu/permalink/EF3_1/EF-v3.1.zip"
        ]
      }
    },
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/ecoinvent/3.12/flow/5716c728-bd33-414d-8691-16e5534f5d37",
        "skos:prefLabel": "Particulate Matter, > 2.5 Um And < 10um",
        "context": "air / low population density, long-term",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:closeMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_ecoinvent",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "ecoinvent:3.12:5716c728-bd33-414d-8691-16e5534f5d37",
          "Particulate Matter, > 2.5 Um And < 10um",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=particulate_size_class:pm2_5_to_pm10",
          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=18",
          "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(particulate_size_class:pm2_5_to_pm10);flow_object_candidates(1);elementary_candidates(18);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/ecoinvent/3.8/flow/5716c728-bd33-414d-8691-16e5534f5d37",
        "skos:prefLabel": "Particulates, > 2.5 Um, And < 10um",
        "context": "air / low population density, long-term",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:closeMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_ecoinvent",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "ecoinvent:3.8:5716c728-bd33-414d-8691-16e5534f5d37",
          "Particulates, > 2.5 Um, And < 10um",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=particulate_size_class:pm2_5_to_pm10",
          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=18",
          "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(particulate_size_class:pm2_5_to_pm10);flow_object_candidates(1);elementary_candidates(18);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/26489393-3d95-5536-8763-732bfa495b30",
        "skos:prefLabel": "Particulates, > 2.5 Um, And < 10um",
        "context": "emissions to air / low. pop., long-term",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:closeMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_bafu",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "bafu:2026-v1:26489393-3d95-5536-8763-732bfa495b30",
          "Particulates, > 2.5 Um, And < 10um",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=particulate_size_class:pm2_5_to_pm10",
          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=18",
          "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(particulate_size_class:pm2_5_to_pm10);flow_object_candidates(1);elementary_candidates(18);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/66c940e7-191a-5883-8443-a3f47567d0ab",
        "skos:prefLabel": "Particulates, > 2.5 Um, And < 10um",
        "context": "Emissions to air / low. pop., long-term",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:closeMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9502-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_agribalyse",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "agribalyse:3.2:66c940e7-191a-5883-8443-a3f47567d0ab",
          "Particulates, > 2.5 Um, And < 10um",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=particulate_size_class:pm2_5_to_pm10",
          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=18",
          "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(particulate_size_class:pm2_5_to_pm10);flow_object_candidates(1);elementary_candidates(18);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",
    "context": "default_context_mapping",
    "context_iri": "default_context_mapping",
    "unit_iri": "unit_normalization",
    "concept_associations": "carry_associations_onto_flows",
    "types": "link_flows_to_their_substance"
  },
  "_transformed": true,
  "_provided": {
    "name": "particles (PM2.5 - PM10)",
    "synonyms": [],
    "context": [
      "Emissions",
      "Emissions to air",
      "Emissions to air, unspecified (long-term)"
    ],
    "cas_numbers": [],
    "ec_numbers": [],
    "unit": "kg"
  }
}

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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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