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Approval to Dispose of Trade Waste into a Public Sewer - Yass Valley Council - New South Wales

Description

You will need this approval if you are going to discharge liquid trade waste directly or indirectly into a public sewer. Trade waste includes waste produced by the following types of businesses:

  • business / commercial premises (such as a beautician, florist, hairdresser, hotel, motel, restaurant, butcher, service station, supermarket or dentist)
  • community / public premises (such as a craft club, school, college, university, hospital or nursing home)
  • industrial premises
  • trade activities (such as a mobile carpet cleaner)
  • commercial activities carried out in a residential location
  • commercial saleyards, racecourses, stables and kennels
  • any wastewater transported by vehicle or drawn from ships or boats (including septic effluent).

Service type

Licence

A licence defines the need to obtain recognition / certification and registration to undertake a certain business activity.

Eligibility requirements

To be eligible for this approval, you will be required to provide details of the type of waste, location and duration of the deposit.

Duration

As specified

Fees

Fees Details for this service in table format.

Task Type Business Structure Amount Description
Apply Application All $300.00

Processing fee for Classification A waste. Fees for 2024-25
Apply Application All $465.00

Processing fee for Classification B waste. Fees for 2024-25
Apply Application All $695.00

Processing fee for Classification C waste. Fees for 2024-25
Apply Application All $300.00

Processing fee for Classification S waste. Fees for 2024-25
Vary Variation All -

Amendment fee - 50% of application fee. Fees for 2024-25

Act(s) name

Local Government Act 1993 New South Wales

Regulation(s) name

Local Government (General) Regulations 2021 New South Wales

Administering agency

Yass Valley Council

Contact details

Contact Email, Phone and Address Details for this service in simple two column table format, header then data.