Gross Pollutant Traps: Wet Load Assessment at Sungai Kerayong, Malaysia

M. R. Mohd Shah, Nazirul Mubin Zahari, N. F. Md Said, Lariyah Mohd Sidek, Hidayah Basri, M. S.F. Md Noor, M. M. Mohammad Husni, Milad Jajarmizadeh, Za Roseli, N. Mohd Dom

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

The purpose of this project is to carry out assessment on the effectiveness and performance of Gross Pollutant Traps (GPTs) stormwater quality control in the urban areas. The study aims to provide a management and planning tool for effective management of the gross pollutants in the urban areas specifically in River of Life (ROL) project. ROL project is a Malaysian Government initiative under the Economic Transformation Program. One of the program in the greater Klang Valley is to transform Klang River into a vibrant and livable waterfront by the year 2020. The main river in ROL catchment is Sungai Klang (upper catchment), with main tributaries Sungai Gombak, Sungai Batu, Sungai Jinjang, Sungai Keroh, Sungai Bunus, Sungai Ampang and Sungai Kerayong. This paper objective is to study the gross pollutant wet load at Sungai Kerayong 1 and Sungai Kerayong 2 which is located at the downstream location of the ROL project. The result shows that Sungai Kerayong 2 produced higher gross pollutant wet load (8025.33 kg/ha/yr) than Sungai Kerayong 1 (4695.12 kg/ha/yr). This could be due to high contributions amounts of gross pollutant traps from residential area, the degree of develop area, and also the location of the river itself related to climate and rainfall.

Original languageEnglish
Article number012065
JournalIOP Conference Series: Earth and Environmental Science
Volume32
Issue number1
DOIs
Publication statusPublished - 19 Apr 2016
Event2nd International Conference on Advances in Renewable Energy and Technologies, ICARET 2016 - Putrajaya, Malaysia
Duration: 23 Feb 201625 Feb 2016

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All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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