Particle tracking analysis of river-aquifer interaction via bank infiltration techniques

Induced bank infiltration (BI) is commonly implemented in other countries, but remains new and unexplored in Malaysia. Increasing river pollution could affect drinking water resources. Given the threat of pollution to raw water sources, applying induced BI to sustain water management is essential. T...

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Main Authors: Shamsuddin, Mohd Khairul Nizar, Suratman, Saim, Zakaria, Mohamad Pauzi, Aris, Ahmad Zaharin, Sulaiman, Wan Nor Azmin
Format: Article
Language:English
Published: Springer Verlag 2014
Online Access:http://psasir.upm.edu.my/id/eprint/34830/1/Particle%20tracking%20analysis%20of%20river.pdf
http://psasir.upm.edu.my/id/eprint/34830/
http://link.springer.com/article/10.1007/s12665-014-3217-6?no-access=true
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Institution: Universiti Putra Malaysia
Language: English
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spelling my.upm.eprints.348302016-01-22T03:48:21Z http://psasir.upm.edu.my/id/eprint/34830/ Particle tracking analysis of river-aquifer interaction via bank infiltration techniques Shamsuddin, Mohd Khairul Nizar Suratman, Saim Zakaria, Mohamad Pauzi Aris, Ahmad Zaharin Sulaiman, Wan Nor Azmin Induced bank infiltration (BI) is commonly implemented in other countries, but remains new and unexplored in Malaysia. Increasing river pollution could affect drinking water resources. Given the threat of pollution to raw water sources, applying induced BI to sustain water management is essential. This paper presents a case study of the BI method, which evaluates the effects of groundwater pumping and BI operation on the installation of wells as well as determines the effect of pumping rate on flow paths, travel time, the size of the pumping and capture zone delineation, and groundwater mixing in a pumping well in Jenderam Hilir, Malaysia. The proposed method performs infiltration safely and achieves the ideal pumping rate. Numerical modeling packages, MODFLOW and MODPATH (particle tracking) were used. Results indicate that the migration of river water into the aquifer is generally slow and depends on the pumping rate and distance from well to the river. Most water arrives at the well by the end of a pumping period of 1–5 days at 3,072 m3/day for test wells DW1 and DW2, and during simultaneous pumping for DW2 and PW1 for a well located 36 and 18 m, respectively, from the river. During the 9.7-day pumping period, 33 % of the water pumped from the DW1 well was river water, and 38 % from DW2 throughout 4.6 days was river water. The models provide necessary information for water operators in the design and construction of pumping and sampling schedules of BI practices. Springer Verlag 2014-10 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/34830/1/Particle%20tracking%20analysis%20of%20river.pdf Shamsuddin, Mohd Khairul Nizar and Suratman, Saim and Zakaria, Mohamad Pauzi and Aris, Ahmad Zaharin and Sulaiman, Wan Nor Azmin (2014) Particle tracking analysis of river-aquifer interaction via bank infiltration techniques. Environmental Earth Sciences, 72 (8). pp. 3129-3142. ISSN 1866-6280; ESSN: 1866-6299 http://link.springer.com/article/10.1007/s12665-014-3217-6?no-access=true 10.1007/s12665-014-3217-6
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Induced bank infiltration (BI) is commonly implemented in other countries, but remains new and unexplored in Malaysia. Increasing river pollution could affect drinking water resources. Given the threat of pollution to raw water sources, applying induced BI to sustain water management is essential. This paper presents a case study of the BI method, which evaluates the effects of groundwater pumping and BI operation on the installation of wells as well as determines the effect of pumping rate on flow paths, travel time, the size of the pumping and capture zone delineation, and groundwater mixing in a pumping well in Jenderam Hilir, Malaysia. The proposed method performs infiltration safely and achieves the ideal pumping rate. Numerical modeling packages, MODFLOW and MODPATH (particle tracking) were used. Results indicate that the migration of river water into the aquifer is generally slow and depends on the pumping rate and distance from well to the river. Most water arrives at the well by the end of a pumping period of 1–5 days at 3,072 m3/day for test wells DW1 and DW2, and during simultaneous pumping for DW2 and PW1 for a well located 36 and 18 m, respectively, from the river. During the 9.7-day pumping period, 33 % of the water pumped from the DW1 well was river water, and 38 % from DW2 throughout 4.6 days was river water. The models provide necessary information for water operators in the design and construction of pumping and sampling schedules of BI practices.
format Article
author Shamsuddin, Mohd Khairul Nizar
Suratman, Saim
Zakaria, Mohamad Pauzi
Aris, Ahmad Zaharin
Sulaiman, Wan Nor Azmin
spellingShingle Shamsuddin, Mohd Khairul Nizar
Suratman, Saim
Zakaria, Mohamad Pauzi
Aris, Ahmad Zaharin
Sulaiman, Wan Nor Azmin
Particle tracking analysis of river-aquifer interaction via bank infiltration techniques
author_facet Shamsuddin, Mohd Khairul Nizar
Suratman, Saim
Zakaria, Mohamad Pauzi
Aris, Ahmad Zaharin
Sulaiman, Wan Nor Azmin
author_sort Shamsuddin, Mohd Khairul Nizar
title Particle tracking analysis of river-aquifer interaction via bank infiltration techniques
title_short Particle tracking analysis of river-aquifer interaction via bank infiltration techniques
title_full Particle tracking analysis of river-aquifer interaction via bank infiltration techniques
title_fullStr Particle tracking analysis of river-aquifer interaction via bank infiltration techniques
title_full_unstemmed Particle tracking analysis of river-aquifer interaction via bank infiltration techniques
title_sort particle tracking analysis of river-aquifer interaction via bank infiltration techniques
publisher Springer Verlag
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/34830/1/Particle%20tracking%20analysis%20of%20river.pdf
http://psasir.upm.edu.my/id/eprint/34830/
http://link.springer.com/article/10.1007/s12665-014-3217-6?no-access=true
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