Water quality index assessment for the Skudai watershed and its tributaries
It is very important to develop a rehabilitation plan for the watersheds that have been degraded because of increased development activities and high urbanization. Identifying the most vulnerable parts of a watershed is challenging and can be done if water quality in the river was determined in diff...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/63464/1/SharifMoniruzzamanShirazi2015_WaterQualityIndexAssessmentfortheSkudaiWatershed.pdf http://eprints.utm.my/id/eprint/63464/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.63464 |
---|---|
record_format |
eprints |
spelling |
my.utm.634642017-08-21T04:18:53Z http://eprints.utm.my/id/eprint/63464/ Water quality index assessment for the Skudai watershed and its tributaries Naubi, Irena Zardari, Noorul Hassan Shirazi, Sharif Moniruzzaman Mat. Taib, Shazwin TD Environmental technology. Sanitary engineering It is very important to develop a rehabilitation plan for the watersheds that have been degraded because of increased development activities and high urbanization. Identifying the most vulnerable parts of a watershed is challenging and can be done if water quality in the river was determined in different sections from the upstream to the downstream of a watershed. In this study, we delineated the Skudai watershed into 25 sub-watersheds using ArcGIS technique. Later, we identified tributaries in each sub-watershed. The sub-watersheds were grouped into three main categories, i.e. natural, semi-urban, and urban sub-watersheds. Water quality samples were collected at different tributaries from all three categories of sub-watersheds. The paper presents water quality analysis results. The Skudai River (natural part) was classified into natural sub-watershed. The Senai and Kempas rivers were classified into sub-urban watersheds while Melana and Danga rivers were classified into urban watersheds. The water quality index (WQI) for the Skudai River (Natural) was 95.2 and falls in class I category, i.e. clean. The Senai River had WQI of 84.5 and Class II category, i.e. slightly polluted. However, Kempas River which was also in the sub-urban watershed had calculated WQI of 54.4, in Class III and polluted. Melana River had was also polluted river with WQI of 68.8 (Class III). The Danga River was also polluted river with WQI value as 55.2. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/63464/1/SharifMoniruzzamanShirazi2015_WaterQualityIndexAssessmentfortheSkudaiWatershed.pdf Naubi, Irena and Zardari, Noorul Hassan and Shirazi, Sharif Moniruzzaman and Mat. Taib, Shazwin (2015) Water quality index assessment for the Skudai watershed and its tributaries. In: The 2nd Iwa Malaysia Young Water Professionals Conference, 17-20 Mac, 2015, Kuala Lumpur, Malaysia. |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
language |
English |
topic |
TD Environmental technology. Sanitary engineering |
spellingShingle |
TD Environmental technology. Sanitary engineering Naubi, Irena Zardari, Noorul Hassan Shirazi, Sharif Moniruzzaman Mat. Taib, Shazwin Water quality index assessment for the Skudai watershed and its tributaries |
description |
It is very important to develop a rehabilitation plan for the watersheds that have been degraded because of increased development activities and high urbanization. Identifying the most vulnerable parts of a watershed is challenging and can be done if water quality in the river was determined in different sections from the upstream to the downstream of a watershed. In this study, we delineated the Skudai watershed into 25 sub-watersheds using ArcGIS technique. Later, we identified tributaries in each sub-watershed. The sub-watersheds were grouped into three main categories, i.e. natural, semi-urban, and urban sub-watersheds. Water quality samples were collected at different tributaries from all three categories of sub-watersheds. The paper presents water quality analysis results. The Skudai River (natural part) was classified into natural sub-watershed. The Senai and Kempas rivers were classified into sub-urban watersheds while Melana and Danga rivers were classified into urban watersheds. The water quality index (WQI) for the Skudai River (Natural) was 95.2 and falls in class I category, i.e. clean. The Senai River had WQI of 84.5 and Class II category, i.e. slightly polluted. However, Kempas River which was also in the sub-urban watershed had calculated WQI of 54.4, in Class III and polluted. Melana River had was also polluted river with WQI of 68.8 (Class III). The Danga River was also polluted river with WQI value as 55.2. |
format |
Conference or Workshop Item |
author |
Naubi, Irena Zardari, Noorul Hassan Shirazi, Sharif Moniruzzaman Mat. Taib, Shazwin |
author_facet |
Naubi, Irena Zardari, Noorul Hassan Shirazi, Sharif Moniruzzaman Mat. Taib, Shazwin |
author_sort |
Naubi, Irena |
title |
Water quality index assessment for the Skudai watershed and its tributaries |
title_short |
Water quality index assessment for the Skudai watershed and its tributaries |
title_full |
Water quality index assessment for the Skudai watershed and its tributaries |
title_fullStr |
Water quality index assessment for the Skudai watershed and its tributaries |
title_full_unstemmed |
Water quality index assessment for the Skudai watershed and its tributaries |
title_sort |
water quality index assessment for the skudai watershed and its tributaries |
publishDate |
2015 |
url |
http://eprints.utm.my/id/eprint/63464/1/SharifMoniruzzamanShirazi2015_WaterQualityIndexAssessmentfortheSkudaiWatershed.pdf http://eprints.utm.my/id/eprint/63464/ |
_version_ |
1643655722705092608 |
score |
13.159267 |