Particulate Matter, > 2.5 Um And < 10um
5716c728-bd33-414d-8691-16e5534f5d37
Present in 2 source lists
Each list resolved it independently. Where they disagree, that is a conflict.
ecoinvent 3.12
algorithm- Name
- Particulate Matter, > 2.5 Um And < 10um
- Context
- air → low population density, long-term
- Unit
- kg
- CAS
- —
- EC
- —
- Basis
- particulate_size_class pm2_5_to_pm10
- Method
- algorithm
- Substance
- fo-ae1315a262379c68
- Target flow
- 08a91e70-3ddc-11dd-9502-0050c2490048
What it could have been
1 flow between them, 11 of them eligible after the dimension and media filter, 7 removed because the context did not agree.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | Particles (PM2.5 - PM10) | kg | Environmental → Air → Long-term | 0 | 08a91e70-3ddc-11dd-9502-0050c2490048 |
Everything this outcome recorded
{
"source_uuid": "5716c728-bd33-414d-8691-16e5534f5d37",
"source_name": "Particulate Matter, > 2.5 Um And < 10um",
"source_context": [
"air",
"low population density, long-term"
],
"source_context_normalized": [
"Environmental",
"Air",
"Long-term"
],
"source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-lote",
"source_unit": "kg",
"source_cas": "",
"source_ec": "",
"flow_object_id": "fo-ae1315a262379c68",
"target_name": "Particles (PM2.5 - PM10)",
"target_elementary_flow_id": "08a91e70-3ddc-11dd-9502-0050c2490048",
"target_context": [
"Environmental",
"Air",
"Long-term"
],
"target_unit": "kg",
"basis": "particulate_size_class",
"basis_value": "pm2_5_to_pm10",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 18,
"eligible_candidate_count": 11,
"filtered_out_context_mismatch_count": 7,
"required_dimension": "Environmental",
"required_media": "Air",
"selector_model": "exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto",
"top_candidates": [
{
"elementary_flow_id": "08a91e70-3ddc-11dd-9502-0050c2490048",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Air",
"Long-term"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-lote"
}
],
"scored_candidates": [
{
"elementary_flow_id": "08a91e70-3ddc-11dd-9502-0050c2490048",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Air",
"Long-term"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-lote"
}
],
"winning_score": null,
"tie_on_top_score": false,
"source_context_original": [
"air",
"low population density, long-term"
],
"source_context_normalized": [
"Environmental",
"Air",
"Long-term"
],
"source_context_used_for_matching": [
"Environmental",
"Air",
"Long-term"
],
"source_context_matching_basis": "normalized"
},
"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"
}
}ecoinvent 3.8
algorithm- Name
- Particulates, > 2.5 Um, And < 10um
- Context
- air → low population density, long-term
- Unit
- kg
- CAS
- —
- EC
- —
- Basis
- particulate_size_class pm2_5_to_pm10
- Method
- algorithm
- Substance
- fo-ae1315a262379c68
- Target flow
- 08a91e70-3ddc-11dd-9502-0050c2490048
What it could have been
1 flow between them, 11 of them eligible after the dimension and media filter, 7 removed because the context did not agree.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | Particles (PM2.5 - PM10) | kg | Environmental → Air → Long-term | 0 | 08a91e70-3ddc-11dd-9502-0050c2490048 |
Everything this outcome recorded
{
"source_uuid": "5716c728-bd33-414d-8691-16e5534f5d37",
"source_name": "Particulates, > 2.5 Um, And < 10um",
"source_context": [
"air",
"low population density, long-term"
],
"source_context_normalized": [
"Environmental",
"Air",
"Long-term"
],
"source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-lote",
"source_unit": "kg",
"source_cas": "",
"source_ec": "",
"flow_object_id": "fo-ae1315a262379c68",
"target_name": "Particles (PM2.5 - PM10)",
"target_elementary_flow_id": "08a91e70-3ddc-11dd-9502-0050c2490048",
"target_context": [
"Environmental",
"Air",
"Long-term"
],
"target_unit": "kg",
"basis": "particulate_size_class",
"basis_value": "pm2_5_to_pm10",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 18,
"eligible_candidate_count": 11,
"filtered_out_context_mismatch_count": 7,
"required_dimension": "Environmental",
"required_media": "Air",
"selector_model": "exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto",
"top_candidates": [
{
"elementary_flow_id": "08a91e70-3ddc-11dd-9502-0050c2490048",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Air",
"Long-term"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-lote"
}
],
"scored_candidates": [
{
"elementary_flow_id": "08a91e70-3ddc-11dd-9502-0050c2490048",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Air",
"Long-term"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-lote"
}
],
"winning_score": null,
"tie_on_top_score": false,
"source_context_original": [
"air",
"low population density, long-term"
],
"source_context_normalized": [
"Environmental",
"Air",
"Long-term"
],
"source_context_used_for_matching": [
"Environmental",
"Air",
"Long-term"
],
"source_context_matching_basis": "normalized"
},
"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"
}
}