Printer Friendly

Pollution load management to improve water quality of Sungai Pusu.


The Sg. Pusu river, which flows through the International Islamic University Malaysia (IIUM), is murky due to elevated levels of Suspended Solids (SS). In Malaysia, major sources of SS includes agricultural based activities particularly oil palm; where runoff transports sediment to a receiving water column [1]. The effects therefore are usually more pronounced after a rainfall event, such in the case of Sg. Pusu. Besides being an eyesore, the constituent may also incur siltation, which decreases the overall hydraulic capacity of a water column [2]. Siltation disrupts fish habitation and may also affect propagation. SS can clog fish gills making respiration difficult [3]. There are likely two major sources of SS in the Sg. Pusu catchment; one is from the sand-mining activity upstream of the west tributary of Sg. Pusu; and another the development activities [either for housing or mixed development], upstream of the main-stem. Besides SS, other sources of pollution such as sewage and sullage also enter the river via perimeter drain. This study aims to characterize the water quality conditions of the river under high flow conditions and to ascertain the amount of pollution load reduction that needs to be achieved to improve water quality conditions up to Class II of the National Water Quality Standards (NWQS).


Samples were collected at a total of 30 stations schematically shown in Figure 1. The stations are located at segments within the boundary of the IIUM, as this was the main area of interest. Sample collection was done between 50-250 meters spatial interval, with a main-stem length of about 3 kilometers. Sampling for the tributary began at 3[degrees]15'37.92"N, 101[degrees]44'21.45"E, whereas for the main-stem, the first sample was collected at 3[degrees]15'18.10"N, 101[degrees]44'29.29"E. Samples were analyzed for total suspended solids (TSS), biochemical oxygen demand (BOD5) and ammoniacal nitrogen (NH3-N). To represent high flow conditions, samples were collected during or after a rainfall event. Preservation and storage were done in accordance with standards stipulated by the [4]. Hydraulic properties (depth, width, velocity) were measured on-site to derive the riverine flowrate.

The US EPA QUAL2K model was utilized to characterize water quality conditions and derive in-stream loading. The stream reach system is as shown in Figure 2 with an elemental resolution of 0.1 km (100 meters).

Event Mean Concentration (EMC) values from [5] were used in the model based on the designated land-uses. Discrepancies between observed and actual results were then rationalized via model calibration [6].


Referring to Table 1, the high flow monitoring results showed elevated SS levels on the upstream reaches of the main-stem to be at 740 mg/L and 950 mg/L. The most significant contribution appears to originate from developmental activities taking place upstream, outside of the campus boundaries. Some decrement was observable downstream mainly due to weirs which acts as a barrier to sediment transport. That being the case, weirs are designed to regulate flow rather than assist sediment removal [2]. Thus, SS contamination was still observable on the downstream reaches. This is reflected in the monitoring results at L5, where the SS levels increased to 270 mg/L before hovering to between 110-140 mg/L. A sudden increase was observed in SS at L10 due to turbulence after a weir.

Referring to Table 2, initially, the sand-mining activities appear to exhibit minimal impact towards the upper reaches (L1). This was mainly due the presence of two ponds that function to remove some of the SS. Despite this, elevation in SS levels was again observed at the middle segments to between 50-120 mg/L. This illustrated that SS presence was still significant. Water features on the main-stem may have disrupted the bottom sediments causing re-suspension. The heightened flow momentum during rainfall also negates settling.

Referring to Table 3, the post-confluence monitoring results showed the values were quite elevated, remaining within the Class III region of the NWQS, particularly on the upper reaches; between 120 -1,500 mg/L. Again, the weirs appear to have assisted SS removal as the values dwindle down to between 20-70 mg/L mid-stream. That being the case, the presence of suspended matter was still significant and was insufficient to dilute the SS loading from the incoming tributary. Future remediation measures therefore, need not only inculcate mitigation of sources on the main-stem but on the sub-catchments as well.

Referring to Figure 3, the modeling exercise using QUAL2K showed that even at 90% load reduction, the Class II denotation would barely be achieved. This translates to an approximate load reduction from 3,204 kg/hr to 320 kg/hr.

The BOD5 modeling results (shown in Figure 4), also denotes a disturbing trend, where elevated organic levels (exceeding Class IV/V) was observed particularly on the middle segment of the river. The upper segments did not show significantly high organic levels. The heightened BOD5 levels at the mid-segment were indicative of organic pollution contribution, likely to be originating from the surrounding commercial activities such as cafes and restaurants. Surface organic depositions carried by runoff may also have contributed to this condition. In addition, treated sewage effluent discharged to the perimeter drains also enters the water column. To achieve a Class II denotation, the current in-stream value of 136 kg/hr has to be reduced to at least 14 kg/hr.

Adding to this point, were the ammoniacal nitrogen (NH3-N) results as shown in Figure 5. The elevated constituent concentration was in excess of 1.5 mg/L in the middle segment of river, which is beyond the desired threshold for most sensitive and tolerant species [7]. Coupled with the elevated SS results shown previously, it can be concluded that Sg. Pusu would not be able to support fish life of economic value or most ornamental fish species [8]. The NH3-N loading analysis further showed that a decrement to about 7.4 kg/hr needs to be achieved compared to the current 50 kg/hr for a Class II denotation to be plausible under high flow conditions.


Sg. Pusu, particularly the reaches that flows through the university, is severely contaminated by SS transported by rainfall. The SS load originates from two main anthropogenic activities namely; sand-mining and development taking place on the upper reaches outside of the campus boundaries. Besides this, there are also organic contributions prevalent in the water column, indicated by the elevated levels of BOD5 and N[H.sub.3]-N. In order to achieve Class II denotation, a load reduction of at least 2,880 kg/hr has to be achieved TSS, 122 kg/hr for BOD5 and 43 kg/hr for N[H.sub.3]-N. It is likely that the organics originated from activities occurring within the university itself as opposed to contribution from developmental or sand-mining activities. The contribution is likely to be point-source in nature and not entirely due to the runoff. Remediation measures must not only inculcate SS removal but also need to mitigate BOD5 and N[H.sub.3]-N as well.


Article history:

Received 14 Feb 2014

Received in revised form 24 February 2014

Accepted 29 March 2014

Available online 14 April 2014


This work is supported by the International Islamic University (Endownment "B" Fund) and we gratefully acknowledge the support.


[1] Zainudin, Z., Z.A. Rashid and J. Jaapar, 2009. Agricultural Non-Point Source Modeling in Sg. Bertam, Cameron Highlands using QUAL2E. Malaysian Journal of Analytical Sciences, 13(2): 170-184.

[2] Sturm, T.W., 2001. Open Channel Hydraulics. (1st ed.). Singapore: McGraw-Hill Series in Water Resources and Environmental Engineering.

[3] Kramer, D.L., 1987. Dissolved Oxygen and Fish Behavior. Environmental Biology of Fishes., 18(2): 81-92. Dr W. Junk Publishers, Dordrecht.

[4] American Public Health Association, APHA., 2005. Standard Methods for the Examination of Water and Wastewater, 21st Edition: Method 5210-B. United States: American Public Health Association (APHA), American Water Works Association (AWWA) and Water Environment Federation (WEF).

[5] Jupirin, A., 2012. Non-Point Source Pollution Characterization Within Sg. Pusu Watershed. Undergraduate Thesis. Department of Biotechnology Engineering, IIUM.

[6] Chapra, S.C., 1997. Surface Water Quality Modeling. (1st ed.). Singapore: McGraw-Hill Series in Water Resources and Environmental Engineering.

[7] Sawyer, C.N., P.L. McCarty and G.F. Parkin, 2003. Chemistry for Environmental Engineering and Science. (5th ed.). New York: McGraw-Hill Professional.

[8] Department of Environment, DOE, 2008. National Water Quality Standards. Environmental Quality Report 2008. Putrajaya: Strategic Communications Division, Department of Environment Malaysia.

(1) Zaki Zainudin, (1) Noorwahidah Syaira Mohd Said, (1) Mohammed Saedi, Md. Noor Salleh

(1) Department of Biotechnology Engineering, International Islamic University Malaysia.

Corresponding Author: Zaki Zainudin, Department of Biotechnology Engineering, International Islamic University Malaysia.


Table 1: Sg. Pusu main-stem

River                 Sampling Locations    TSS (mg/L)

Sg. Pusu main-stem    L1                    740
(pre-confluence)      L2                    950
                      L3                    10
                      L4                    170
                      L5                    270
                      L6                    310
                      L7                    110
                      L8                    110
                      L9                    140
                      L10                   1790

Table 2: Sg. Pusu tributary

River                 Sampling Locations    TSS (mg/L)

Sg. Pusu tributary    L1                    20
                      L2                    100
                      L3                    140
                      L4                    40
                      L5                    50
                      L6                    120
                      L7                    10
                      L8                    10
                      L9                    80
                      L10                   80

Table 3: Sg. Pusu main-stem (post-confluence)

River                 Sampling Locations   TSS (mg/L)

Sg. Pusu main-stem    L1                   1500
(post-confluence)     L2                   800
                      L3                   260
                      L4                   120
                      L5                   70
                      L6                   30
                      L7                   20
                      L8                   40
                      L9                   10
                      L10                  80
COPYRIGHT 2014 American-Eurasian Network for Scientific Information
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2014 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Author:Zainudin, Zaki; Said, Noorwahidah Syaira Mohd; Saedi, Mohammed; Salleh, Noor
Publication:Advances in Environmental Biology
Article Type:Report
Geographic Code:9MALA
Date:Mar 1, 2014
Previous Article:Studying the prevalence of Chilodonella in fish ponds of Sistan region in Iran.
Next Article:Techno-Economic assessment of biogas technology in Nigeria: a case study of northwest, Kano state.

Terms of use | Privacy policy | Copyright © 2021 Farlex, Inc. | Feedback | For webmasters |