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Water Quality : Treatment : Gross Pollutant Traps : CLeansAll®
 
 
Gross Pollutant Traps:
GPT Main Page
   
CDS Units
   
XWave Screen
   
CleansAll
   
Accessories
   
   
Applications:
residential subdivisions
   
commercial and industrial developments
   
main stormwater drainage systems
   
retrofitting to existing stormwater drainage systems
   
any other applications where the target pollutants are primarily gross pollutants and oils and sediments.
Product Features & Benefits
 
Excellent Performance: The application of innovative technology has shown through Independent laboratory testing and field trials that the CleansAll GPT is capable of removing in excess of 98% of gross pollutants (>2mm) and oils, as well as approximately 70% of sediment (75µm – 2.36mm) at design flows.
Low head loss: Operating and bypass headloss is relatively low with Head loss coefficient (k) varying from 0.54 to 1.3.
No re-entrainment: Captured pollutants are retained during peak (by-pass) flows
Internal Bypass: Effective overflow system for peak or design flows.
Low cost maintenance options: The CleansAll units can be easily cleaned by regular waste disposal services. The removable basket can be lifted out and emptied on to a truck or can be left in place and cleaned using an inductor truck service.
Flexible Design: The CleansAll GPT can be customised to suit most applications including Single / Multi-cell pipe culverts, Reinforced Concrete Box Culvert, Open Channel, Salt Water applications.
Long, reliable service life: Components of the CleansAll GPT are manufactured from high strength steel-reinforced concrete. The collection baskets are manufactured from stainless steel and there are no moving parts. Therefore a long, reliable service life is assured by the solid and durable construction, high quality components and the simplicity of the design.
Quality Assured: (ISO 9001:2000), the CleansAll GPT was developed in conjunction with the University of South Australia.
 
CleansAll® Sizing Request Form (PDF 48KB)
 
CleansAll Brochure (PDF 1.1MB)
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