Automated QUAL2Kw for Water Quality Modeling in the Tunggak River, Gebeng, Kuantan, Malaysia
The Tunggak River in Gebeng, Kuantan receives industrial waste water from Gebeng industrial estate that resulted decrease in DO concentrations and increase in ammoniacal nitrogen as well as other nutrients in the river flow. QUAL2Kw water quality model was calibrated and confirmed using the water qu...
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2013
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ump-61002018-09-28T03:40:41Z http://umpir.ump.edu.my/id/eprint/6100/ Automated QUAL2Kw for Water Quality Modeling in the Tunggak River, Gebeng, Kuantan, Malaysia Hossain, Mohamed Amjed Nasly, Mohamed Ali Islam, Mir Sujaul TA Engineering (General). Civil engineering (General) The Tunggak River in Gebeng, Kuantan receives industrial waste water from Gebeng industrial estate that resulted decrease in DO concentrations and increase in ammoniacal nitrogen as well as other nutrients in the river flow. QUAL2Kw water quality model was calibrated and confirmed using the water quality data of Tunggak River to assess the water quality. With some exceptions the model represented the field data quite well and confirmed that the model is applicable for simulation for the river. The results ascertained that combination of existing wastewater management with QUAL2Kw model might be a unique strategy for resolving the industrial water pollution. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6100/1/fkasa-2014-amjed-automated_QUAL2Kw.pdf Hossain, Mohamed Amjed and Nasly, Mohamed Ali and Islam, Mir Sujaul (2013) Automated QUAL2Kw for Water Quality Modeling in the Tunggak River, Gebeng, Kuantan, Malaysia. In: Proceedings of Malaysian Technical Universities Conference on Engineering & Technology (MUCET 2013), 3-4 December 2013 , Kuantan, Pahang. pp. 1-6.. |
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Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
TA Engineering (General). Civil engineering (General) |
spellingShingle |
TA Engineering (General). Civil engineering (General) Hossain, Mohamed Amjed Nasly, Mohamed Ali Islam, Mir Sujaul Automated QUAL2Kw for Water Quality Modeling in the Tunggak River, Gebeng, Kuantan, Malaysia |
description |
The Tunggak River in Gebeng, Kuantan receives industrial waste water from Gebeng industrial estate that resulted decrease in DO concentrations and increase in ammoniacal nitrogen as well as other nutrients in the river flow. QUAL2Kw water quality model was calibrated and confirmed using the water quality data of Tunggak River to assess the water quality. With some exceptions the model represented the field data quite well and confirmed that the model is applicable for simulation for the river. The results ascertained that combination of existing wastewater management with QUAL2Kw model might be a unique strategy for resolving the industrial water pollution. |
format |
Conference or Workshop Item |
author |
Hossain, Mohamed Amjed Nasly, Mohamed Ali Islam, Mir Sujaul |
author_facet |
Hossain, Mohamed Amjed Nasly, Mohamed Ali Islam, Mir Sujaul |
author_sort |
Hossain, Mohamed Amjed |
title |
Automated QUAL2Kw for Water Quality Modeling in the Tunggak River, Gebeng, Kuantan, Malaysia |
title_short |
Automated QUAL2Kw for Water Quality Modeling in the Tunggak River, Gebeng, Kuantan, Malaysia |
title_full |
Automated QUAL2Kw for Water Quality Modeling in the Tunggak River, Gebeng, Kuantan, Malaysia |
title_fullStr |
Automated QUAL2Kw for Water Quality Modeling in the Tunggak River, Gebeng, Kuantan, Malaysia |
title_full_unstemmed |
Automated QUAL2Kw for Water Quality Modeling in the Tunggak River, Gebeng, Kuantan, Malaysia |
title_sort |
automated qual2kw for water quality modeling in the tunggak river, gebeng, kuantan, malaysia |
publishDate |
2013 |
url |
http://umpir.ump.edu.my/id/eprint/6100/ http://umpir.ump.edu.my/id/eprint/6100/1/fkasa-2014-amjed-automated_QUAL2Kw.pdf |
first_indexed |
2023-09-18T22:01:34Z |
last_indexed |
2023-09-18T22:01:34Z |
_version_ |
1777414433075625984 |