Brightway Flows 1.0
GitHub

Identity

Substance
fo-c29773e4cb4a5203 Neutral molecule
Source
agribalyse algorithm addition
Unit
kg
Context
Environmental → Water → River
CAS
55179-31-2
EC
259-513-5

Context

Dimension
Environmental
Media
Water
Water body
River

Alternative labels

11

Source lists

1
List Version Source flow Name there Why this flow
agribalyse 3.2 fafa8981-1d63-5948-b4cb-3537a07d4631 Bitertanol The CAS numbers are the same (55179-31-2); no flow of this substance sat in that compartment, so this one was created for the row.

Concept associations

1
Source list Source flow Name there Compartment there Match Conversion
agribalyse 3.2 fafa8981-1d63-5948-b4cb-3537a07d4631 Bitertanol Emissions to water / river exactMatch

Characterisation factors

4

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 consensus-flow-list Ecotoxicity, freshwater 38,084 carried
EF 3.1 consensus-flow-list Ecotoxicity, freshwater_organics 38,084 carried
EF 3.1 consensus-flow-list Human toxicity, non-cancer 6.7805e-05 carried
EF 3.1 consensus-flow-list Human toxicity, non-cancer_organics 6.7805e-05 carried

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

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    }
  ],
  "context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive",
  "unit_iri": "https://vocab.brightway.one/units/unit/KiloGM",
  "flow_object_id": "fo-c29773e4cb4a5203",
  "concept_associations": [
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/agribalyse/3.2/flow/fafa8981-1d63-5948-b4cb-3537a07d4631",
        "skos:prefLabel": "Bitertanol",
        "context": "Emissions to water / river",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:exactMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/6377571c6cf0e6631f42fd169e8a6ff13f318322"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/6377571c6cf0e6631f42fd169e8a6ff13f318322"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_agribalyse",
        "prov:wasAttributedTo": "consensus-flow-list",
        "prov:hadPrimarySource": [
          "agribalyse:3.2:fafa8981-1d63-5948-b4cb-3537a07d4631",
          "Bitertanol",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=cas:55179-31-2",
          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=14",
          "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(cas:55179-31-2);flow_object_candidates(1);elementary_candidates(14);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": "6377571c6cf0e6631f42fd169e8a6ff13f318322"
}

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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