Dicamba
fe0acd60-3ddc-11dd-a982-0050c2490048
Identity
- Substance
- fo-a2783b297c3dff86 Neutral molecule
- Source
- EF 3.1
- Unit
- kg
- Context
- Environmental → Ground → Agricultural
- CAS
- 1918-00-9
- EC
- 217-635-6
Context
- Dimension
- Environmental
- Geography
- Agricultural
- Media
- Ground
Alternative labels
20- 3,6-dichloro-2-methoxybenzoic acid
- 3,6-dichloro-o-anisic acid
- 2,5-Dichloro-6-methoxybenzoic acid
- 2-Methoxy-3,6-dichlorobenzoic acid
- o-Anisic acid, 3,6-dichloro-
- Aviator
- Banvel
- Banvel 70WP
- Banvel SGF
- Benzoic acid, 3,6-dichloro-2-methoxy-
- Celebrity B
- DC
- Dianat
- MDBA
- Mais Banvel WG
- MeSH ID: D003996
- Mediben
- Vanquish
- Velsicol 58CS11
- Velsicol Compound R
Source lists
6| List | Version | Source flow | Name there | Why this flow |
|---|---|---|---|---|
| EF | 3.1 | fe0acd60-3ddc-11dd-a982-0050c2490048 | dicamba | The consensus list is built from this one, so this row is the flow itself rather than something matched to it. |
| agribalyse | 3.2 | 1f56cfa8-ada5-54d4-bf64-da87a53c95e1 | Dicamba | The CAS numbers are the same (1918-00-9); both name the same compartment. |
| bafu | 2026-v1 | 05d6f284-5b62-56ce-bd87-30a7c7d561ca | Dicamba | The CAS numbers are the same (1918-00-9); both name the same compartment. |
| ecoinvent | 3.12 | 44b7826f-6f4c-44f3-81eb-ad3426073fae | Dicamba | The CAS numbers are the same (1918-00-9); both name the same compartment. |
| ecoinvent | 3.8 | 44b7826f-6f4c-44f3-81eb-ad3426073fae | Dicamba | The CAS numbers are the same (1918-00-9); both name the same compartment. |
| stepwise | 2006-1.09 | f5dc835a-be9f-5429-be14-1001002d3be0 | Dicamba | The CAS numbers are the same (1918-00-9); both name the same compartment. |
Concept associations
6| Source list | Source flow | Name there | Compartment there | Match | Conversion |
|---|---|---|---|---|---|
| EF 3.1 | fe0acd60-3ddc-11dd-a982-0050c2490048 | dicamba | Emissions/Emissions to soil/Emissions to agricultural soil | exactMatch | — |
| ecoinvent 3.12 | 44b7826f-6f4c-44f3-81eb-ad3426073fae | Dicamba | soil / agricultural | closeMatch | — |
| ecoinvent 3.8 | 44b7826f-6f4c-44f3-81eb-ad3426073fae | Dicamba | soil / agricultural | closeMatch | — |
| bafu 2026-v1 | 05d6f284-5b62-56ce-bd87-30a7c7d561ca | Dicamba | emissions to soil / agricultural | closeMatch | — |
| stepwise 2006-1.09 | f5dc835a-be9f-5429-be14-1001002d3be0 | Dicamba | Soil / agricultural | closeMatch | — |
| agribalyse 3.2 | 1f56cfa8-ada5-54d4-bf64-da87a53c95e1 | Dicamba | Emissions to soil / agricultural | closeMatch | — |
Characterisation factors
18- brightway-flows 5
- European Commission — JRC 4
- GreenDelta 4
- ecoinvent Centre 4
- 2.-0 LCA consultants 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 | European Commission — JRC | Ecotoxicity, freshwater | — | 1.1503 | — |
| EF 3.1 | ecoinvent Centre | Ecotoxicity, freshwater | — | 1.1503 | — |
| EF 3.1 | GreenDelta | Ecotoxicity, freshwater | — | 1.1503 | — |
| EF 3.1 | brightway-flows | Ecotoxicity, freshwater | — | 1.1503 | agreed |
| EF 3.1 | European Commission — JRC | Ecotoxicity, freshwater_organics | — | 1.1503 | — |
| EF 3.1 | ecoinvent Centre | Ecotoxicity, freshwater_organics | — | 1.1503 | — |
| EF 3.1 | GreenDelta | Ecotoxicity, freshwater_organics | — | 1.1503 | — |
| EF 3.1 | brightway-flows | Ecotoxicity, freshwater_organics | — | 1.1503 | agreed |
| EF 3.1 | European Commission — JRC | Human toxicity, non-cancer | — | 1.8873e-07 | — |
| EF 3.1 | ecoinvent Centre | Human toxicity, non-cancer | — | 1.8873e-07 | — |
| EF 3.1 | GreenDelta | Human toxicity, non-cancer | — | 1.8873e-07 | — |
| EF 3.1 | brightway-flows | Human toxicity, non-cancer | — | 1.8873e-07 | agreed |
| EF 3.1 | European Commission — JRC | Human toxicity, non-cancer_organics | — | 1.8873e-07 | — |
| EF 3.1 | ecoinvent Centre | Human toxicity, non-cancer_organics | — | 1.8873e-07 | — |
| EF 3.1 | GreenDelta | Human toxicity, non-cancer_organics | — | 1.8873e-07 | — |
| EF 3.1 | brightway-flows | Human toxicity, non-cancer_organics | — | 1.8873e-07 | agreed |
| Stepwise 2006 | 2.-0 LCA consultants | Human toxicity, non-carc. | — | 0.117146 | — |
| Stepwise 2006 | brightway-flows | Human toxicity, non-carc. | — | 0.117146 | sole |
History
The change log and the PROV-O trail (2 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
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"@id": "https://vocab.brightway.dev/elementary-flows/fe0acd60-3ddc-11dd-a982-0050c2490048"
}
},
"xkos:targetConcept": {
"@id": "https://vocab.brightway.dev/elementary-flows/fe0acd60-3ddc-11dd-a982-0050c2490048"
},
"provenance": {
"prov:wasGeneratedBy": "merge_stepwise",
"prov:wasAttributedTo": "brightway-flows",
"prov:hadPrimarySource": [
"stepwise:2006-1.09:f5dc835a-be9f-5429-be14-1001002d3be0",
"Dicamba",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=cas:1918-00-9",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=16",
"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(cas:1918-00-9);flow_object_candidates(1);elementary_candidates(16);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/1f56cfa8-ada5-54d4-bf64-da87a53c95e1",
"skos:prefLabel": "Dicamba",
"context": "Emissions to soil / agricultural",
"qudt:hasUnit": {
"@id": "https://vocab.brightway.one/units/unit/KiloGM"
},
"skos:closeMatch": {
"@id": "https://vocab.brightway.dev/elementary-flows/fe0acd60-3ddc-11dd-a982-0050c2490048"
}
},
"xkos:targetConcept": {
"@id": "https://vocab.brightway.dev/elementary-flows/fe0acd60-3ddc-11dd-a982-0050c2490048"
},
"provenance": {
"prov:wasGeneratedBy": "merge_agribalyse",
"prov:wasAttributedTo": "brightway-flows",
"prov:hadPrimarySource": [
"agribalyse:3.2:1f56cfa8-ada5-54d4-bf64-da87a53c95e1",
"Dicamba",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=cas:1918-00-9",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=16",
"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(cas:1918-00-9);flow_object_candidates(1);elementary_candidates(16);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",
"synonyms": "bootstrap_labels",
"context": "default_context_mapping",
"context_iri": "default_context_mapping",
"unit_iri": "unit_normalization",
"properties": "normalise_property_values",
"skos_definition": "enrich_references",
"references": "enrich_references",
"altLabel": "dedupe_altlabels",
"cas_match_labels": "consensus_match",
"concept_associations": "carry_associations_onto_flows",
"types": "link_flows_to_their_substance",
"roles": "link_flows_to_their_substance"
},
"cas_match_labels": {
"1918-00-9": "exactMatch"
},
"_transformed": true,
"_provided": {
"name": "dicamba",
"synonyms": [
"2,5-Dichloro-6-methoxybenzoic acid",
"2-Methoxy-3,6-dichlorobenzoic acid",
"3,6-Dichloor-2-methoxy-benzoeizuur",
"3,6-Dichlor-3-methoxy-benzoesaeure",
"3,6-Dichloro-2-methoxybenzoic acid",
"3,6-Dichloro-o-anisic acid",
"AC1L1F0K",
"AC1Q3ODW",
"AKOS000273802",
"Acido (3,6-dicloro-2-metossi)-benzoico",
"Banlen",
"Banvel",
"Banvel 480",
"Banvel 70WP",
"Banvel CST",
"Banvel D",
"Banvel II herbicide",
"Banvel SGF",
"Banvel herbicide",
"Benzoic acid, 3,6-dichloro-2-methoxy-",
"Brush buster",
"Compound B [Velsicol]",
"Compound B dicamba",
"DICAMBA (PESTICIDE/FERTILIZERMIXTURE)",
"Dianat",
"Dicamba [ANSI:BSI:ISO]",
"IWEDIXLBFLAXBO-UHFFFAOYSA-",
"Jsp003940",
"Kyselina 3,6-dichlor-2-methoxybenzoova",
"Mdba",
"Mediben",
"Oprea1_626816",
"SBB003348",
"SpecPlus_000428",
"Velsicol 58-CS-11",
"Velsicol Compound \"R\"",
"Velsicol compound R",
"o-Anisic acid, 3,6-dichloro-"
],
"context": [
"Emissions",
"Emissions to soil",
"Emissions to agricultural soil"
],
"cas_numbers": [
"1918-00-9"
],
"ec_numbers": [
"217-635-6"
],
"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