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Gross pollutant traps (GPT) are designed to capture and retain visible street waste, such as anthropogenic litter and organic matter.
These involved an optimum range of screen blockages and a potentially improved inlet design for efficient gross pollutant capture/retention operations.
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The higher runoff volume also carries more pollutants (gross pollutants, sediments, and nutrients) from the contributing catchment area.
In laboratory testing, the prototype GPT was capable of achieving good trapping efficiency (over 80% for gross pollutants and over 60% for coarse sediments) without causing any overspill.
The low pressure drop across the retaining screens and the reduced inlet flow velocities were either insufficient to mobilise the gross pollutants, or the GPT became congested.
The current GPT overcame the common problem of overspilling of gross pollutants in GPT by the introduction of additional overspill compartments that can handle excessive runoff and improve pollutant trapping in higher flow conditions.
The removal of gross pollutants from POME protects downstream equipment, avoids interference with plant operations, and prevents the entry of objectionable floating material into the system, especially anaerobic tanks.
The results of our study will provide the government environmental management departments with theoretical basis and scientific methods to effectively implement the pollutant gross control system and design the related environmental policies.
Reductions in these pollutants have been particularly impressive: Between 1980 and 2010, emissions of these six pollutants went down by 63percentt while the gross domestic product grew by 128percentt.
Forget gross.
Really gross".
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