Researchers:
The objectives of the study are:
Introduction:
Over the past few decades,
human activities such as industrialization and urbanization due to rapid
development in Malaysia have increased the magnitude of pollution, and hence
increase thickness of sediment deposits in the exiting drainage system of
the country. This phenomenon has reduced the effectiveness of the urban
drainage system that is built to cater and convey surface runoff. Therefore,
a study on sediment size characteristics in existing concrete drain is
essential at a preliminary stage to develop a suitable solution for the
maintenance of a conventional drainage system and hence avoids the
possibility of flash flood due to excessive sediment deposition in the
drains.
Study Sites:
Surveys had been carried out to determine suitable sites for
the study. As the result, eight sites in urban area in Malaysia had been
selected to determine the sediment size characteristics in existing concrete
drains. The sites are located at Alor Setar, Ipoh, Johor Bahru, Kota Bahru
and four sites in Seberang Perai, i.e. Chain Ferry, Bandar Seberang Jaya,
Taman Inderwasih Perai and Taman Perindustrian Bukit Tengah. (Figure1 (a)
and (b)).

Figure 1.
Study Sites: (a) Alor Setar, Seberang Prai, Ipoh, Kota Bahru and Johor
Bahru; (b) Taman Inderwasih, Chain Ferry, Taman Perindustrian Bukit Tengah
and Bandar Seberang Jaya
Sediment
Samplings
Figure 2
shows examples of deposition in existing drains at Alor Setar (Figure 2(a)
and (b)), Ipoh (Figure 2(c) and (d)), Kota Bahru (Figure 2(e)), Chain Ferry
(Figure 2(f)), Taman Inderawasih Prai (Figure 2 (g)) and Bandar Seberang
Jaya (Figure 2(h)). The sediment samples were collected at each site by grab
sampling using a scoop (Figure 3). Dry sieve analyses in accordance to
BS1377 were then carried out to determine sediment size distributions.

Figure 2. Deposition In Concrete Monsoon Drains: (a)-(b) Alor Setar;
(c)-(d) Ipoh; (e) Kota Bahru; (f) Chain Ferry; (g) Taman Perindustrian Bukit
Tengah; (h) Bandar Seberang Jaya

Figure 3. Grab Sampling Using A Scoop
Sediment
Size Characteristics
Recent results of sediment
deposition data collection are presented in Table 1 and Figure 4. The result
shows that sand and gravel are the major components that are found in the
sediment samples. This indicates that the sediment size distribution in
study sites is mainly non-cohesive. The average size of sediment in eight
study sites varies from 0.5 to 1.2 mm
Table 1. Sediment Characteristics At Study Sites.
Site Location |
Sediment
Characteristics |
d50
(mm) |
Clay and Silt
(%) |
Sand (%) |
Gravel (%) |
Alor Setar |
0.6 |
6.2 |
61.8 |
32.0 |
Chain Ferry |
0.9 |
1.8 |
70.6 |
27.6 |
Ipoh |
0.8 |
0.0 |
82.7 |
17.3 |
Kota Bahru |
0.6 |
3.1 |
87.6 |
12.2 |
Johor Bahru |
0.7 |
1.4 |
83.3 |
15.3 |
T.
Inderawasih Perai |
0.5 |
10.5 |
75.9 |
13.6 |
T.
Perindustrian Bukit Tengah |
1.2 |
1.7 |
70.0 |
28.3 |
B. Seberang
Jaya |
1.0 |
2.4 |
73.8 |
23.8 |

Figure 4. Sediment Size Distribution: (a) Alor Setar, Chain Ferry, Ipoh,
Kota Bahru and Johor Bahru; (b) Bandar Seberang Jaya, Taman Inderwasih Perai
and Taman Perindustrian Bukit Tengah
Gross
Pollutant Trap (GPT)
Gross Pollutant Trap (GPT)
is an engineered sediment trap designed to catch and remove litter, debris,
and coarse sediment from runoff. The main function of GPT is to keep coarse
sediment out of ponds, protecting the vegetation at the head of the pond
from the smothering effects of sediment. It may also be used as the
pretreatment for flow into a pond or wetland to confine the area of
deposition of coarse sediments. Besides coarse sediment, traps will also
provide some reduction in other pollutants with the installation of an
additional device such as the removal of particulate nutrients, trace metal,
oil and grease, as well as reduction of bacteria and dissolved
oxygen-demanding substances.
In the project, the
proposed GPT is designed to trap sediment and gross pollutants of stormwater
coming from roofs, yards, roads or lawns in an urban area. Additionally, the
proposed GPT will include pollutants separation from flows by the energy of
the water flow (self-cleansing method).
Gross Pollutant Trap Prototype
Design
The GPT is an incorporated
system consisting of silt trap as well as gross pollutant trap, which is
capable to trap bed load as well as removal solid waste from stormwater.
Basically, it consists of two compartments namely on-line trap and off-line
trap as shown in Figure 5.
The on-line trap is
referred to a sediment trap combined with a primary trash rack, which is
constructed inline with the channel flow direction to treat stormwater at
low flow season. It comprises a uniform channel with an expansion extended
from the existing drain and with a drop at sediment trap to reduce the flow
velocity of the channel. It is essential to slow down the flow velocity
because it will increase the settling process for sediment in particular. It
is expected at low flows, turbulence is not significant and the pollutant
will remains in its original characteristics. Consequently, pollutant that
is denser than water will settle or sink at the bottom of the sediment trap,
whilst pollutant less dense than water will be removed from stormwater at
the primary trash rack. The on-line trap is designed up to stormwater
quality treatment recurrent interval (3 month ARI).

Figure 5
Gross Pollutant Trap Prototype
Off-line traps are provided
at the both sides of the on-line traps intends to treat stormwater with
rainfall events exceed 3 month ARI to serve the large quantity of stormwater.
Besides, the off-line trap also functions as the secondary trap or back up
trap, which is responsible to treat any stormwater flow whenever the on-line
trap is blocked. Thus, the excess water will overspill sideways into
off-line trap, bypass the secondary channel and then retain into the main
channel as outflow. Additionally, off-line trap channel is designed using
self-cleaning principle. The pollutants will be intercepted by the screen
and forced down it by a combination of the momentum of the water and
gravity, until it comes to rest in a waste collection bin and allowed to dry
out for removal.
The GPT prototype sizing is illustrated in Figure 6 designed
with the assumption of a catchment area of 50 hectares located in the state
of Penang with 30 minutes time of concentration.

Figure
6 Gross Pollutant Trap Prototype Sizing: (a) plan view; (b) section view
Gross
Pollutant Trap Construction & Operation
The GPT prototype (Figure 7) was constructed at The Hydraulic
Lab, School of Civil Engineering, USM. Its operation in trapping the
sediment and gross pollutants such floating materials was successfully
conducted (Figure 8 & Figure 9).
Figure 7 GPT Prototype

Figure 8 Floating Materials Trap at the Sediment Basin and Waste Collection
Bin

Figure 9 Coarse Sand Trapped at the front end of the Sediment Basin
Selected
Publications:
Ab. Ghani, A., Azamathulla,
H.Md., Lau, T.L., C.H. Ravikanth, Zakaria, N.A.,
Leow, C.S. & Mohd Yusof, M.A. (2011). Flow Pattern and Hydraulic
Performance of the REDAC Gross Pollutant Trap, Flow Measurement and
Instrumentation <download>
Ab. Ghani, A., Zakaria, N.A.,
Kassim, M., & Ahmad Nasir, B. (2000). Sediment Size Characteristics of Urban
Drains In Malaysian Cities, Journal of Urban Water, Vol. 2, No.4, pp.
335-341. ISSN 1462-0758 <download>
Fraser, A.G., Ashley, R.M., &
Ab. Ghani, A. (2000). Inlet and Sewer Traps
for Sediment Control in Stormwater Drainage: A Malaysian Case Study,
Joint Conference on Water Resources Engineering & Water Resources Planning
and Management, ASCE, Minneapolis, USA, 30 July - 2 August,
Section 39, Chapter 2. ISBN: 0784405174 <download>
Kassim, M., Ab.
Ghani, A., Abdullah, R. & Zakaria, N.A. (2004).
Prediction of
Sediment Deposition in Raja River Concrete Drainage System: A Case Study, in
J.L. Bertrand-Krajewski, M. Almeida, J. Matos and S. Abdul Talib (Eds.),
Water and Environmental Management Series: Sewer Networks and Processes
Within Urban Water System, pp. 59-65, IWA. ISBN: 1843395061 <download>
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