Application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / Tengku Nilam Baizura Tengku Ibrahim

Leachate from landfills is known to be one of the major environmental impacts, particularly those constructed near rivers. Therefore, this study is conducted to assess the impact of discharged leachate, using SL Landfill and Sembilang River as the case study. Solid waste generated from 2015-2016 ser...

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Main Author: Tengku Nilam Baizura , Tengku Ibrahim
Format: Thesis
Published: 2021
Subjects:
Online Access:http://studentsrepo.um.edu.my/14383/
http://studentsrepo.um.edu.my/14383/1/Tg._Nilam_Baizura.pdf
http://studentsrepo.um.edu.my/14383/2/Tengku_Nilam_Baizura.pdf
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author Tengku Nilam Baizura , Tengku Ibrahim
author_facet Tengku Nilam Baizura , Tengku Ibrahim
author_sort Tengku Nilam Baizura , Tengku Ibrahim
building UM Research Repository
collection Online Access
description Leachate from landfills is known to be one of the major environmental impacts, particularly those constructed near rivers. Therefore, this study is conducted to assess the impact of discharged leachate, using SL Landfill and Sembilang River as the case study. Solid waste generated from 2015-2016 served as input data on volume and composition of the solid waste that was sent to SL Landfill. A material flow analysis (MFA) is employed to trace the fate of solid waste that has been disposed and leachate that is produced at SL Landfill using STAN software. Six parameters in Water Quality Index (WQI), viz. DO, pH, BOD, COD, NH3N, TSS were used to define the quality of the river water. A total of 80 water samples were collected monthly for 1 year from 10 sampling stations. In order to predict and assess the pollutant transport in Sembilang River basin, QUAL2K was used as a simulation model. Water quality parameters (DO, BOD and NH3-N) were chosen to model the impact from the SL landfill effluent towards Sembilang River. The findings showed that the highest composition of waste that was present at the landfill can be categorized as food waste with 32% of the total waste input. Results from the MFA model showed that the amount of leachate generated from SL landfill was 123,386 m3/year. The finding had also successfully identified the input and output flow of SL Landfill, with an overall input values of 948,505 ton per year and the output at 393,292 ton per year. From 3 different possible scenarios that were chosen, results from the MFA showed that composting was the most effective method in terms of reducing leachate production in SL Landfill which expected to reduce leachate production by up to 92%. The Sembilang River water quality results show that it falls in Class III of the WQI, which ranges from 43.46 to 68.03 mg/L. Different water quality model scenarios were simulated in order to assess the pollutant transport on the Sembilang River water quality and it was found that the effects of different scenarios for water quality parameters were particularly noticeable for DO and BOD. However, for the NH3N parameters there were no significant change and had remained in Class IV and V. This was due to the high NH3N concentration from a few points along the river. These findings showed that the MFA, water quality assessment and modeling were found to be the best methods to predict and analyzed the composition of waste to the leachate production and the effect to the river water pollution.
first_indexed 2025-11-14T14:06:29Z
format Thesis
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institution University Malaya
institution_category Local University
last_indexed 2025-11-14T14:06:29Z
publishDate 2021
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spelling um-143832023-03-15T02:23:29Z Application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / Tengku Nilam Baizura Tengku Ibrahim Tengku Nilam Baizura , Tengku Ibrahim GE Environmental Sciences Leachate from landfills is known to be one of the major environmental impacts, particularly those constructed near rivers. Therefore, this study is conducted to assess the impact of discharged leachate, using SL Landfill and Sembilang River as the case study. Solid waste generated from 2015-2016 served as input data on volume and composition of the solid waste that was sent to SL Landfill. A material flow analysis (MFA) is employed to trace the fate of solid waste that has been disposed and leachate that is produced at SL Landfill using STAN software. Six parameters in Water Quality Index (WQI), viz. DO, pH, BOD, COD, NH3N, TSS were used to define the quality of the river water. A total of 80 water samples were collected monthly for 1 year from 10 sampling stations. In order to predict and assess the pollutant transport in Sembilang River basin, QUAL2K was used as a simulation model. Water quality parameters (DO, BOD and NH3-N) were chosen to model the impact from the SL landfill effluent towards Sembilang River. The findings showed that the highest composition of waste that was present at the landfill can be categorized as food waste with 32% of the total waste input. Results from the MFA model showed that the amount of leachate generated from SL landfill was 123,386 m3/year. The finding had also successfully identified the input and output flow of SL Landfill, with an overall input values of 948,505 ton per year and the output at 393,292 ton per year. From 3 different possible scenarios that were chosen, results from the MFA showed that composting was the most effective method in terms of reducing leachate production in SL Landfill which expected to reduce leachate production by up to 92%. The Sembilang River water quality results show that it falls in Class III of the WQI, which ranges from 43.46 to 68.03 mg/L. Different water quality model scenarios were simulated in order to assess the pollutant transport on the Sembilang River water quality and it was found that the effects of different scenarios for water quality parameters were particularly noticeable for DO and BOD. However, for the NH3N parameters there were no significant change and had remained in Class IV and V. This was due to the high NH3N concentration from a few points along the river. These findings showed that the MFA, water quality assessment and modeling were found to be the best methods to predict and analyzed the composition of waste to the leachate production and the effect to the river water pollution. 2021-07 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/14383/1/Tg._Nilam_Baizura.pdf application/pdf http://studentsrepo.um.edu.my/14383/2/Tengku_Nilam_Baizura.pdf Tengku Nilam Baizura , Tengku Ibrahim (2021) Application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / Tengku Nilam Baizura Tengku Ibrahim. PhD thesis, Universiti Malaya. http://studentsrepo.um.edu.my/14383/
spellingShingle GE Environmental Sciences
Tengku Nilam Baizura , Tengku Ibrahim
Application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / Tengku Nilam Baizura Tengku Ibrahim
title Application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / Tengku Nilam Baizura Tengku Ibrahim
title_full Application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / Tengku Nilam Baizura Tengku Ibrahim
title_fullStr Application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / Tengku Nilam Baizura Tengku Ibrahim
title_full_unstemmed Application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / Tengku Nilam Baizura Tengku Ibrahim
title_short Application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / Tengku Nilam Baizura Tengku Ibrahim
title_sort application of material flow analysis and water quality modelling to facilitate the efficiency of leachate management system / tengku nilam baizura tengku ibrahim
topic GE Environmental Sciences
url http://studentsrepo.um.edu.my/14383/
http://studentsrepo.um.edu.my/14383/1/Tg._Nilam_Baizura.pdf
http://studentsrepo.um.edu.my/14383/2/Tengku_Nilam_Baizura.pdf