Impact categories

This method returns the $l$ impact categories of a result. The rows of the impact matrix $C$ are indexed by these impact categories and the columns by the $m$ intervention flows of the system. $C$ contains the respective characterisation factors of the intervention flows.

$$C \in \mathbb{R}^{l \times m}$$

Examples

Python IPC

impact_categories = result.get_impact_categories()
print(
    pd.DataFrame(
        [(i.name, i.ref_unit) for i in impact_categories],
        columns=["Impact category", "Unit"],
    )
)

#   Impact category         Unit
# 0            OZON  kg CFC11-eq
# 1            EUTR      kg N eq
# 2            SMOG     kg O3 eq
# 3             HNC         CTUh
# 4            ETOX         CTUe
# 5              HC         CTUh
# 6            HRSP  kg PM2.5 eq
# 7             GCC    kg CO2 eq
# 8            HTOX         CTUh
# 9            ACID    kg SO2-eq

JSON-RPC via Fetch API

The example below shows the usage of this method using the JSON-RPC protocol via the Fetch API which is available in modern web-browsers or platforms like Deno.

  let resp = await fetch("http://localhost:8080", {
    method: "POST",
    body: JSON.stringify({
      jsonrpc: "2.0",
      id: 1,
      method: "result/impact-categories",
      params: {
        "@id": "4780f66c-0b77-49ca-9226-c7ce4447ea2d",
      }
    })
  });
  let v = await resp.json();
  console.log(v);
  // {
  //   jsonrpc: "2.0",
  //   result: [
  //     {
  //       "@type": "ImpactCategory",
  //       "@id": "2dddb0a4-2f97-3fef-a4e6-708f0b4c2554",
  //       name: "Human toxicity, cancer - inorganics",
  //       category: "EF 3.0 Method (adapted)",
  //       refUnit: "CTUh"
  //     },
  //     {
  //       "@type": "ImpactCategory",
  //       "@id": "248a3f3f-933e-3c45-a799-fad9f956e03c",
  //       name: "Photochemical ozone formation",
  //       category: "EF 3.0 Method (adapted)",
  //       refUnit: "kg NMVOC eq"
  //     },