Wet Load Study of Gross Pollutant Traps; Kemensah River, Malaysia
Catchments; Pollution; Rivers; Continuous deflective separations; Drainage systems; Government agencies; Gross pollutants; Malaysia; Rainy seasons; Residential areas; River systems; River pollution; catchment; performance assessment; policy implementation; pollution control; research method; river s...
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2023
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my.uniten.dspace-227502023-05-29T14:12:00Z Wet Load Study of Gross Pollutant Traps; Kemensah River, Malaysia Zahari N.M. Sidek L.M. Basri H. Md Said N.F. Md Noor M.S.F. Jajarmizadeh M. Zainal Abidin M.R. Mohd Dom N. 54891672300 35070506500 57065823300 57189249684 57189237974 55251767200 56678524500 57189245828 Catchments; Pollution; Rivers; Continuous deflective separations; Drainage systems; Government agencies; Gross pollutants; Malaysia; Rainy seasons; Residential areas; River systems; River pollution; catchment; performance assessment; policy implementation; pollution control; research method; river system; seasonality; separation; solid waste; water management; water pollution; water quality; wetting; Malaysia Efforts have been made by the government agency to install the Gross Pollutant Trap (GPT) to protect of entering the gross pollutants from direct discharge into the river. Few studies have been performed in related to GPT and there is a need to do research on the performance of GPTs in Malaysia. The performance of GPTs is strongly dependent on installed location. Moreover, contribution of landuse has also potential to evaluate the GPTs performance. The main objective of this paper is to analyse the wet load that has been trapped inside GPTs. In this study, Installation of GPTs are performed based continuous deflective separation (CDS) and downstream defender (DD). Kemensah River is chosen as a case study and GPTs are installed at drainage systems due to analysis the impact of GPTs on reduction of solid waste from discharge to the Kemensah River. The result shows that the GPTs can reduce the gross pollutants before entering the river system in optimum way. Consequently, the area of catchment, dense residential area and rainy season have important role on increasing the gross pollutant. Final 2023-05-29T06:12:00Z 2023-05-29T06:12:00Z 2016 Conference Paper 10.1088/1755-1315/32/1/012015 2-s2.0-84966670923 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966670923&doi=10.1088%2f1755-1315%2f32%2f1%2f012015&partnerID=40&md5=6576d707880bff736fa242704a83271d https://irepository.uniten.edu.my/handle/123456789/22750 32 1 12015 All Open Access, Bronze Institute of Physics Publishing Scopus |
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Catchments; Pollution; Rivers; Continuous deflective separations; Drainage systems; Government agencies; Gross pollutants; Malaysia; Rainy seasons; Residential areas; River systems; River pollution; catchment; performance assessment; policy implementation; pollution control; research method; river system; seasonality; separation; solid waste; water management; water pollution; water quality; wetting; Malaysia |
| author2 |
54891672300 |
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54891672300 Zahari N.M. Sidek L.M. Basri H. Md Said N.F. Md Noor M.S.F. Jajarmizadeh M. Zainal Abidin M.R. Mohd Dom N. |
| format |
Conference Paper |
| author |
Zahari N.M. Sidek L.M. Basri H. Md Said N.F. Md Noor M.S.F. Jajarmizadeh M. Zainal Abidin M.R. Mohd Dom N. |
| spellingShingle |
Zahari N.M. Sidek L.M. Basri H. Md Said N.F. Md Noor M.S.F. Jajarmizadeh M. Zainal Abidin M.R. Mohd Dom N. Wet Load Study of Gross Pollutant Traps; Kemensah River, Malaysia |
| author_sort |
Zahari N.M. |
| title |
Wet Load Study of Gross Pollutant Traps; Kemensah River, Malaysia |
| title_short |
Wet Load Study of Gross Pollutant Traps; Kemensah River, Malaysia |
| title_full |
Wet Load Study of Gross Pollutant Traps; Kemensah River, Malaysia |
| title_fullStr |
Wet Load Study of Gross Pollutant Traps; Kemensah River, Malaysia |
| title_full_unstemmed |
Wet Load Study of Gross Pollutant Traps; Kemensah River, Malaysia |
| title_sort |
wet load study of gross pollutant traps; kemensah river, malaysia |
| publisher |
Institute of Physics Publishing |
| publishDate |
2023 |
| _version_ |
1806427723729469440 |