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pro vyhledávání: '"Jehangir T. Madhani"'
Autor:
Jehangir T. Madhani
Publikováno v:
Ecological Engineering. 106:555-562
Urban gross stormwater pollutants are considered ecosystem and wetland stressors. Gross pollutant traps (GPTs) filter the stressors from urban stormwater runoff. Extreme rainfall variability severely impacts on stormwater systems, including GPTs. A p
Publikováno v:
Ecological Engineering. 74:56-59
Gross pollutant traps (GPT) are designed to capture and retain visible street waste, such as anthropogenic litter and organic matter. Blocked screens, low/high downstream tidal waters and flows operating above/below the intended design limits can ham
Publikováno v:
Journal of Visualization. 17:17-26
An experimental dataset representing a typical flow field in a stormwater gross pollutant trap (GPT) was visualised. A technique was developed to apply the image-based flow visualisation (IBFV) algorithm to the raw dataset. Particle image velocimetry
Publikováno v:
Water, Air, & Soil Pollution: Focus. 9:357-369
A novel method is developed to capture and analyze several experimental flow regimes through a gross pollutant trap (GPT) with fully and partially blocked screens. Typical flow conditions and screen blockages are based on findings from field investig
Publikováno v:
Water Science and Technology. 59:1117-1127
Flow through a gross pollutant trap (GPT) with fully blocked screens is investigated experimentally and theoretically using computational fluid dynamics (CFD). Due to the wide range of possible flow regimes, an experimental approach is developed whic