Characteristic of gross pollutants and evaluation of gross pollutant traps (GPTs) in Perlis

Access is limited to UniMAP community.

Saved in:
Bibliographic Details
Main Author: Gressi, Rigum
Other Authors: Md Hadli Abu Hassan
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/19600
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-19600
record_format dspace
spelling my.unimap-196002012-06-04T01:05:22Z Characteristic of gross pollutants and evaluation of gross pollutant traps (GPTs) in Perlis Gressi, Rigum Md Hadli Abu Hassan Gross pollutant traps (GPTs) Water quality Water pollution treatment River pollution Perlis - Pollutants Access is limited to UniMAP community. Gross pollutant traps (GPTs) is a structural controlled device used as an early pretreatment for water especially in open channel. GPTs detained rubbish such as leaf, plastics, polystyrene, paper and sediment to reduce water pollution before it entering the main river. It is usually construct in an open channel with flow from several sources, and end to the outlet which is the river. The objective of this study is to characterize the pollutant traps in the GPTs accordingly and to monitor the water quality of water before and after the GPTs. From the observation and finding, an improved GPTs design is proposed. The method applied during this study are including weighing the rubbish, and sediment collected, water quality monitoring and laboratory analysis and designing a better GPTs system. There are five parameters involve in water quality sampling and analysis which are pH, DO, BOD, COD, SS and AN. This study is carried out at two point of GPTs in Kangar. Based on result obtain, it can be conclude that the pollutant traps can be characterize into five major group ; vegetative, plastics, paper, materials and sediment, with vegetative has the higher amount trapped in the GPTs system. Highest removal efficiency of SS in water quality in GPTs Point 2 show that the GPTs system can be an effective method to reduce water pollution if the maintenance of the GPTs system carried out properly. A Rubbish Trap is designed based on GPTs design criteria on MASMA for better performance. 2012-06-04T01:05:22Z 2012-06-04T01:05:22Z 2011-04 Learning Object http://hdl.handle.net/123456789/19600 en Universiti Malaysia Perlis (UniMAP) School of Environmental Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Gross pollutant traps (GPTs)
Water quality
Water pollution treatment
River pollution
Perlis - Pollutants
spellingShingle Gross pollutant traps (GPTs)
Water quality
Water pollution treatment
River pollution
Perlis - Pollutants
Gressi, Rigum
Characteristic of gross pollutants and evaluation of gross pollutant traps (GPTs) in Perlis
description Access is limited to UniMAP community.
author2 Md Hadli Abu Hassan
author_facet Md Hadli Abu Hassan
Gressi, Rigum
format Learning Object
author Gressi, Rigum
author_sort Gressi, Rigum
title Characteristic of gross pollutants and evaluation of gross pollutant traps (GPTs) in Perlis
title_short Characteristic of gross pollutants and evaluation of gross pollutant traps (GPTs) in Perlis
title_full Characteristic of gross pollutants and evaluation of gross pollutant traps (GPTs) in Perlis
title_fullStr Characteristic of gross pollutants and evaluation of gross pollutant traps (GPTs) in Perlis
title_full_unstemmed Characteristic of gross pollutants and evaluation of gross pollutant traps (GPTs) in Perlis
title_sort characteristic of gross pollutants and evaluation of gross pollutant traps (gpts) in perlis
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/19600
_version_ 1643792761514622976
score 13.214268