Brightway Flows 1.0
GitHub

Ruthenium-106

084eeb6c5a24206af2f8bf28dbcbce508cc8a0e9

Identity

Substance
fo-6c9659d04feef552 Isotope
Source
bafu algorithm addition
Unit
kBq
Context
Environmental → Water → River
CAS
13967-48-1
EC
—

Context

Dimension
Environmental
Media
Water
Water body
River

Source lists

2
List Version Source flow Name there Why this flow
agribalyse 3.2 9f8949bd-1f80-5d79-81e8-b2a719f99c63 Ruthenium-106 The CAS numbers are the same (13967-48-1); both name the same compartment.
bafu 2026-v1 6b2e904c-f940-5152-bec2-6ae9dbf8e993 Ruthenium-106 This substance answers to the name the row carries; no flow of this substance sat in that compartment, so this one was created for the row.

Concept associations

2
Source list Source flow Name there Compartment there Match Conversion
bafu 2026-v1 6b2e904c-f940-5152-bec2-6ae9dbf8e993 Ruthenium-106 emissions to water / river exactMatch —
agribalyse 3.2 9f8949bd-1f80-5d79-81e8-b2a719f99c63 Ruthenium-106 Emissions to water / river closeMatch —

Characterisation factors

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 consensus-flow-list Ionising radiation, human health — 0.00679 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

Flow JSON 
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      "@value": [
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      "state_resolution": {
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        },
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      "decay_modes": "β-=100%",
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      "specific_activity_bq_per_g_value": 122695101554000.0,
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  "ec_numbers": [],
  "context": {
    "dimension": "Environmental",
    "media": "Water",
    "water_body": "River"
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  "synonyms": [],
  "lcia_methods": [],
  "unit": "kBq",
  "input_datasets": [],
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    "unit": null
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}

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