Particles (PM2.5 - PM10)
08a91e70-3ddc-11dd-9504-0050c2490048
Identity
- Substance
- fo-ae1315a262379c68 Aggregate measurement
- Source
- EF 3.1
- Unit
- kg
- Context
- Environmental → Air → Medium stack, <150 meters → Rural (<1000 people/square mile)
- CAS
- —
- EC
- —
Context
- Dimension
- Environmental
- Media
- Air
- Population density
- Rural (<1000 people/square mile)
- Strata
- Medium stack, <150 meters
Source lists
5| List | Version | Source flow | Name there | Why this flow |
|---|---|---|---|---|
| EF | 3.1 | 08a91e70-3ddc-11dd-9504-0050c2490048 | 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 | cbd88555-2134-5b70-bd22-6e083c5141bd | Particulates, > 2.5 um, and < 10um | Recorded as algorithmic_fallback on particulate_size_class. |
| bafu | 2026-v1 | a19ee4f5-3072-53ae-8bbf-01897ee2e986 | Particulates, > 2.5 um, and < 10um | Recorded as algorithmic_fallback on particulate_size_class. |
| ecoinvent | 3.12 | 295c9740-6fdb-4676-9eb8-15e3786f713d | Particulate Matter, > 2.5 um and < 10um | Recorded as algorithmic_fallback on particulate_size_class. |
| ecoinvent | 3.8 | 295c9740-6fdb-4676-9eb8-15e3786f713d | 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-9504-0050c2490048 | particles (PM2.5 - PM10) | Emissions/Emissions to air/Emissions to non-urban air or from high stacks | exactMatch | — |
| ecoinvent 3.12 | 295c9740-6fdb-4676-9eb8-15e3786f713d | Particulate Matter, > 2.5 Um And < 10um | air / non-urban air or from high stacks | closeMatch | — |
| ecoinvent 3.8 | 295c9740-6fdb-4676-9eb8-15e3786f713d | Particulates, > 2.5 Um, And < 10um | air / non-urban air or from high stacks | closeMatch | — |
| bafu 2026-v1 | a19ee4f5-3072-53ae-8bbf-01897ee2e986 | Particulates, > 2.5 Um, And < 10um | emissions to air / low. pop. | closeMatch | — |
| agribalyse 3.2 | cbd88555-2134-5b70-bd22-6e083c5141bd | Particulates, > 2.5 Um, And < 10um | Emissions to air / low. pop. | closeMatch | — |
Characterisation factors
4- consensus-flow-list 2
- GreenDelta 1
- ecoinvent Centre 1
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 | — | 6.9404e-07 | — |
| EF 3.1 | GreenDelta | EF-particulate Matter | — | 6.9404e-07 | — |
| EF 3.1 | consensus-flow-list | EF-particulate Matter | — | 6.9404e-07 | ruled |
| Stepwise 2006 | consensus-flow-list | Respiratory inorganics | — | 0.535714 | carried |
History
The change log and the PROV-O trail (0 consensus changes)
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-9504-0050c2490048",
"identifier": "08a91e70-3ddc-11dd-9504-0050c2490048",
"source": "EF 3.1",
"cas_numbers": [],
"ec_numbers": [],
"context": {
"dimension": "Environmental",
"media": "Air",
"strata": "Medium stack, <150 meters",
"population_density": "Rural (<1000 people/square mile)"
},
"synonyms": [],
"lcia_methods": [],
"unit": "kg",
"input_datasets": [
"EF 3.1"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-mest15me-ru10pesq",
"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-9504-0050c2490048",
"skos:prefLabel": "particles (PM2.5 - PM10)",
"context": "Emissions/Emissions to air/Emissions to non-urban air or from high stacks",
"qudt:hasUnit": {
"@id": "https://vocab.brightway.one/units/unit/KiloGM"
},
"skos:exactMatch": {
"@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9504-0050c2490048"
}
},
"xkos:targetConcept": {
"@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9504-0050c2490048"
},
"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/295c9740-6fdb-4676-9eb8-15e3786f713d",
"skos:prefLabel": "Particulate Matter, > 2.5 Um And < 10um",
"context": "air / non-urban air or from high stacks",
"qudt:hasUnit": {
"@id": "https://vocab.brightway.one/units/unit/KiloGM"
},
"skos:closeMatch": {
"@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9504-0050c2490048"
}
},
"xkos:targetConcept": {
"@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9504-0050c2490048"
},
"provenance": {
"prov:wasGeneratedBy": "merge_ecoinvent",
"prov:wasAttributedTo": "consensus-flow-list",
"prov:hadPrimarySource": [
"ecoinvent:3.12:295c9740-6fdb-4676-9eb8-15e3786f713d",
"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/295c9740-6fdb-4676-9eb8-15e3786f713d",
"skos:prefLabel": "Particulates, > 2.5 Um, And < 10um",
"context": "air / non-urban air or from high stacks",
"qudt:hasUnit": {
"@id": "https://vocab.brightway.one/units/unit/KiloGM"
},
"skos:closeMatch": {
"@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9504-0050c2490048"
}
},
"xkos:targetConcept": {
"@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9504-0050c2490048"
},
"provenance": {
"prov:wasGeneratedBy": "merge_ecoinvent",
"prov:wasAttributedTo": "consensus-flow-list",
"prov:hadPrimarySource": [
"ecoinvent:3.8:295c9740-6fdb-4676-9eb8-15e3786f713d",
"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/a19ee4f5-3072-53ae-8bbf-01897ee2e986",
"skos:prefLabel": "Particulates, > 2.5 Um, And < 10um",
"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-9504-0050c2490048"
}
},
"xkos:targetConcept": {
"@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9504-0050c2490048"
},
"provenance": {
"prov:wasGeneratedBy": "merge_bafu",
"prov:wasAttributedTo": "consensus-flow-list",
"prov:hadPrimarySource": [
"bafu:2026-v1:a19ee4f5-3072-53ae-8bbf-01897ee2e986",
"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/cbd88555-2134-5b70-bd22-6e083c5141bd",
"skos:prefLabel": "Particulates, > 2.5 Um, And < 10um",
"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-9504-0050c2490048"
}
},
"xkos:targetConcept": {
"@id": "https://vocab.brightway.dev/elementary-flows/08a91e70-3ddc-11dd-9504-0050c2490048"
},
"provenance": {
"prov:wasGeneratedBy": "merge_agribalyse",
"prov:wasAttributedTo": "consensus-flow-list",
"prov:hadPrimarySource": [
"agribalyse:3.2:cbd88555-2134-5b70-bd22-6e083c5141bd",
"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 non-urban air or from high stacks"
],
"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.
- A row from my list should not reach this flow
- This flow is not that chemical
- The compartment or the unit is wrong
- One of these characterisation factors cannot be this substance's
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