Brightway Flows 1.0
GitHub

Identity

Substance
fo-a30bea921eacba3f 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-94fd-0050c2490048 particles (> 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 6bc61063-0ff2-5f81-a2ed-6b804c28ee3c Particulates, > 10 um Recorded as algorithmic_fallback on particulate_size_class.
bafu 2026-v1 5da9fe22-1797-532e-a34c-b6980ea49ac7 Particulates, > 10 um Recorded as algorithmic_fallback on particulate_size_class.
ecoinvent 3.12 b001715e-60e4-4f1d-949d-1acfab65bd8f Particulate Matter, > 10 um A curator's mapping table names this flow.
ecoinvent 3.8 b001715e-60e4-4f1d-949d-1acfab65bd8f Particulates, > 10 um A curator's mapping table names this flow.

Concept associations

5
Source list Source flow Name there Compartment there Match Conversion
EF 3.1 08a91e70-3ddc-11dd-94fd-0050c2490048 particles (> PM10) Emissions/Emissions to air/Emissions to air, unspecified (long-term) exactMatch
ecoinvent 3.12 b001715e-60e4-4f1d-949d-1acfab65bd8f Particulate Matter, > 10 Um air / low population density, long-term exactMatch
ecoinvent 3.8 b001715e-60e4-4f1d-949d-1acfab65bd8f Particulates, > 10 Um air / low population density, long-term exactMatch
bafu 2026-v1 5da9fe22-1797-532e-a34c-b6980ea49ac7 Particulates, > 10 Um emissions to air / low. pop., long-term closeMatch
agribalyse 3.2 6bc61063-0ff2-5f81-a2ed-6b804c28ee3c Particulates, > 10 Um Emissions to air / low. pop., long-term closeMatch

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 (> 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-94fd-0050c2490048",
  "identifier": "08a91e70-3ddc-11dd-94fd-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-a30bea921eacba3f",
  "concept_associations": [
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/ef/3.1/flow/08a91e70-3ddc-11dd-94fd-0050c2490048",
        "skos:prefLabel": "particles (> 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-94fd-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-94fd-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/b001715e-60e4-4f1d-949d-1acfab65bd8f",
        "skos:prefLabel": "Particulate Matter, > 10 Um",
        "context": "air / low population density, long-term",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:exactMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-94fd-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-94fd-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_ecoinvent",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "ecoinvent:3.12:b001715e-60e4-4f1d-949d-1acfab65bd8f",
          "Particulate Matter, > 10 Um",
          ""
        ],
        "prov:wasDerivedFrom": "randonneur_replace_table:prepared_mapping"
      }
    },
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/ecoinvent/3.8/flow/b001715e-60e4-4f1d-949d-1acfab65bd8f",
        "skos:prefLabel": "Particulates, > 10 Um",
        "context": "air / low population density, long-term",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:exactMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-94fd-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-94fd-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_ecoinvent",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "ecoinvent:3.8:b001715e-60e4-4f1d-949d-1acfab65bd8f",
          "Particulates, > 10 Um",
          ""
        ],
        "prov:wasDerivedFrom": "randonneur_replace_table:prepared_mapping"
      }
    },
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/bafu/2026-v1/flow/5da9fe22-1797-532e-a34c-b6980ea49ac7",
        "skos:prefLabel": "Particulates, > 10 Um",
        "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-94fd-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-94fd-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_bafu",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "bafu:2026-v1:5da9fe22-1797-532e-a34c-b6980ea49ac7",
          "Particulates, > 10 Um",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=particulate_size_class:above_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:above_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/6bc61063-0ff2-5f81-a2ed-6b804c28ee3c",
        "skos:prefLabel": "Particulates, > 10 Um",
        "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-94fd-0050c2490048"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-94fd-0050c2490048"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_agribalyse",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "agribalyse:3.2:6bc61063-0ff2-5f81-a2ed-6b804c28ee3c",
          "Particulates, > 10 Um",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=particulate_size_class:above_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:above_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 (> PM10)",
    "synonyms": [],
    "context": [
      "Emissions",
      "Emissions to air",
      "Emissions to air, unspecified (long-term)"
    ],
    "cas_numbers": [],
    "ec_numbers": [],
    "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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