Brightway Flows 1.0
GitHub

Identity

Substance
fo-4619792929f057e6 Aggregate measurement
Source
agribalyse algorithm addition
Unit
kg
Context
Environmental → Water → Unconfined aquifer
CAS
EC

Context

Dimension
Environmental
Media
Water
Water body
Unconfined aquifer

Alternative labels

3

Source lists

1
List Version Source flow Name there Why this flow
agribalyse 3.2 24e0d215-5045-5ae5-878e-533a9bd77b45 Particulates, < 10 um Recorded as algorithmic_fallback on particulate_size_class.

Concept associations

1
Source list Source flow Name there Compartment there Match Conversion
agribalyse 3.2 24e0d215-5045-5ae5-878e-533a9bd77b45 Particulates, < 10 Um Emissions to water / groundwater exactMatch

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": [
    {
      "@value": "Particulates, < 10 um",
      "@language": "en",
      "@lang": "en",
      "provenance": {
        "prov:wasGeneratedBy": "particulate_size_class",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "particulate-size-classes.json"
        ],
        "prov:wasDerivedFrom": "particulate-size-classes.json alt_labels"
      }
    },
    {
      "@value": "Particulates, < 10 um (stationary)",
      "@language": "en",
      "@lang": "en",
      "provenance": {
        "prov:wasGeneratedBy": "carry_member_names",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:wasDerivedFrom": "source_flow_name"
      }
    },
    {
      "@value": "Particulates, < 10 um (mobile)",
      "@language": "en",
      "@lang": "en",
      "provenance": {
        "prov:wasGeneratedBy": "carry_member_names",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:wasDerivedFrom": "source_flow_name"
      }
    }
  ],
  "properties": {},
  "references": [],
  "prefLabel": [
    {
      "@value": "Particles (PM10)",
      "@language": "en",
      "@lang": "en",
      "provenance": {
        "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": "f0261199e26303b2bb526a0534209b4e9b077c67",
  "identifier": "",
  "name": "Particles (PM10)",
  "source": "agribalyse algorithm addition",
  "cas_numbers": [],
  "ec_numbers": [],
  "context": {
    "dimension": "Environmental",
    "media": "Water",
    "water_body": "Unconfined aquifer"
  },
  "synonyms": [],
  "lcia_methods": [],
  "unit": "kg",
  "input_datasets": [],
  "context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-unaq",
  "unit_iri": "https://vocab.brightway.one/units/unit/KiloGM",
  "flow_object_id": "fo-4619792929f057e6",
  "concept_associations": [
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/agribalyse/3.2/flow/24e0d215-5045-5ae5-878e-533a9bd77b45",
        "skos:prefLabel": "Particulates, < 10 Um",
        "context": "Emissions to water / groundwater",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:exactMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/f0261199e26303b2bb526a0534209b4e9b077c67"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/f0261199e26303b2bb526a0534209b4e9b077c67"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_agribalyse",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "agribalyse:3.2:24e0d215-5045-5ae5-878e-533a9bd77b45",
          "Particulates, < 10 Um",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=particulate_size_class:pm10",
          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=18",
          "algorithm.selector_reason=new-elementary-flow-created",
          "algorithm.score_rule=exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto",
          "algorithm.winning_score=3",
          "algorithm.tie_on_top_score=true"
        ],
        "prov:wasDerivedFrom": "algorithmic_fallback:lookup_order(cas>ec>label);basis(particulate_size_class:pm10);flow_object_candidates(1);elementary_candidates(18);selector(new-elementary-flow-created);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
      }
    }
  ],
  "_sources": {},
  "cas_match_labels": {},
  "general_comment": "",
  "_transformed": false,
  "_provided": {
    "name": null,
    "synonyms": [],
    "context": [],
    "cas_numbers": [],
    "ec_numbers": [],
    "unit": null
  },
  "elementary_flow_id": "f0261199e26303b2bb526a0534209b4e9b077c67"
}

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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