Environmental Analytics (Field and Lab Course)

  • Type: Practice (Ü)
  • Chair: KIT Department of Civil Engineering, Geo and Environmental Sciences
  • Semester: SS 2026
  • Time: Mon 2026-04-20
    08:30 - 11:15, weekly


    Mon 2026-04-20
    13:30 - 16:30, weekly

    Mon 2026-04-27
    08:30 - 11:15, weekly

    Mon 2026-04-27
    13:30 - 16:30, weekly

    Mon 2026-05-04
    08:30 - 11:15, weekly

    Mon 2026-05-04
    13:30 - 16:30, weekly

    Mon 2026-05-11
    08:30 - 11:15, weekly

    Mon 2026-05-11
    13:30 - 16:30, weekly

    Mon 2026-05-18
    08:30 - 11:15, weekly

    Mon 2026-05-18
    13:30 - 16:30, weekly

    Mon 2026-06-01
    08:30 - 11:15, weekly

    Mon 2026-06-01
    13:30 - 16:30, weekly

    Mon 2026-06-08
    08:30 - 11:15, weekly

    Mon 2026-06-08
    13:30 - 16:30, weekly

    Mon 2026-06-15
    08:30 - 11:15, weekly

    Mon 2026-06-15
    13:30 - 16:30, weekly

    Mon 2026-06-22
    08:30 - 11:15, weekly

    Mon 2026-06-22
    13:30 - 16:30, weekly

    Mon 2026-06-29
    08:30 - 11:15, weekly

    Mon 2026-06-29
    13:30 - 16:30, weekly

    Mon 2026-07-06
    08:30 - 11:15, weekly

    Mon 2026-07-06
    13:30 - 16:30, weekly

    Mon 2026-07-13
    08:30 - 11:15, weekly

    Mon 2026-07-13
    13:30 - 16:30, weekly

    Mon 2026-07-20
    08:30 - 11:15, weekly

    Mon 2026-07-20
    13:30 - 16:30, weekly

    Mon 2026-07-27
    08:30 - 11:15, weekly

    Mon 2026-07-27
    13:30 - 16:30, weekly


  • Lecturer:

    Dr. Elisabeth Eiche
    Dr. Teba Gil Diaz
    Tobias Bauer
    Tino Wilhelm-Degenhardt

  • SWS: 2
  • Lv-No.: 6310037
  • Information: On-Site
Content

- sample of solids and water in the field (mining waste)

- Determination of field parameters

- guided sample preparation and measurment of the samples taken in the field

- interpretation of the obtained data with respect to the environmental impact ot the mine waste

Language of instructionGerman
Organisational issues

Laborversuche montags entweder vormittags (Gruppe 1-4) oder nachmitags (Gruppe 5-8),

Gruppeneinteilung in der ersten Vorlesung