In water supply management it is commonly thought that consumer satisfaction depends mostly on the amount of water discharged to a network. Because of this, complaints about inadequate supply are usually blamed on insufficient production. However, a recent study by the author indicated that the water distribution and supply network is equally important. A water network modelled in EPANET2 hydraulic solver was subjected to various conditions and constraints, and its responses analyzed. For water to be supplied efficiently, and in addition to augmenting production, greater emphasis must be put on the distribution system. This must be designed and optimized appropriately, to deliver water at the required pressure and discharge. In particular, higher pressures can be obtained when larger diameter pipes are used because friction losses are reduced, thereby reducing pumping costs. One way to improve pressure is by limiting demand.

A water supply system comprises a raw water source, a treatment or production plant, and a distribution system. To achieve its main objective – i.e., to provide consumers with water at required pressures and flows – all three system components should perform at an optimum level. The raw water source should have sufficient yield, the treatment plant processes should ensure throughput that can satisfy demand, and the distribution system should be capable of delivering the water. If any component functions inadequately, the system as a whole might underperform. Often, if consumers do not receive the required water supply, it is believed that the problem lies with inadequate production. While this may be true, another factor that can seriously affect service levels is the quality of the distribution system.

The water supply system of Kampala, Uganda can be used as an example. After augmenting production to 160,000 m3/d, which exceeded demand at that time, consumers still frequently complained about water scarcity (NWSC 2007). This indicates that the cause of the system's underperformance is not necessarily production, but might be the distribution system. Due to population growth, water demand in Kampala is now (in 2018) 200,000 m3/d, which has further exacerbated the situation. This is not helped by an inadequate network whose pipes are poorly sized and have not received attention in 50 years. Kampala is not the only area that faces water shortages, but is among many urban areas that have pressurized supply systems with intermittent flows (Zyoud 2003; Khatri & Lee & Schwab 2005; Nyende-Byakika 2006; Vairavamoorthy 2007; Biswas & Seetharam 2008; Rosenberg 2008; Vairavamoorthy et al. 2008), which are characterized by low pressures and flows.

Water distribution systems comprise, essentially, reservoirs, pipes, pumps and valves. These need to be properly designed and optimized so that they can function adequately, delivering the required water volumes to consumers (Nyende-Byakika et al. 2010). In order to meet regulatory requirements and customer expectations, water utilities are feeling a growing need to improve explanations of the movement, etc, of water in their distribution systems (Kritpiphat et al. 1998; Rossman 2000). If understanding of network behavior under different conditions could be obtained and the impact of these conditions established, networks could be managed better and better customer service offered.

The objective of this paper is to demonstrate the significance and influence that water distribution networks can have on water supply, with particular reference to achieving the desired pressures and flows. The Rubaga subsystem of the Kampala water distribution network was selected as it is a typical example.

The methodology used for this research is similar to that reported by Nyende-Byakika et al. (2012). A network model of the Rubaga subsystem was developed using the EPANET2 engine (Rossman 2000) and scenarios were used to assess its performance. Inputs to the model included nodal demands and elevations, and pipe lengths, sizes and friction factors, as well as the hydraulic head of the reservoir. The model outputs of interest included pressures at nodes, as well as head-losses and velocities across pipes. Figure 1 shows the modelled subsystem, indicating the elevations of the nodes and the pipe diameters.

Figure 1

The Rubaga subsystem showing node elevations (masl), identification numbers (ID), and pipe diameters (mm).

Figure 1

The Rubaga subsystem showing node elevations (masl), identification numbers (ID), and pipe diameters (mm).

Close modal

The model was tested and calibrated to field-observed values for a range of operating conditions, to evaluate its ability to represent actual situations.

In order to meet the objectives, the model was tested under two broad scenarios – observation of network performance using different pipe sizes, and, separately, the impact of location, height and reservoir sizing. The principal model outputs desired were flows, velocities and pressures under different scenarios, to demonstrate the impact of particular network statuses on the delivery of pressures and flows required by customers.

Effect of pipe size on pressure

Figure 2 shows the variation of pressure at node 2 (Figure 1) with the size of the connecting pipe when satisfying a demand of 6.8 l/s. The node connects the Rubaga tank to the subsystem. Figure 3 shows head-loss variation with pipe diameter. In this case, a diameter less than or equal to 200 mm could not serve the subsystem because it would yield negative pressures, as the delivery flow required leads to high head-losses that would impede delivery in a small diameter pipe – i.e., less than 200 mm in this case. Pipe diameters between 300 and 900 mm yielded higher pressures for larger pipe sizes (Figure 2), in a non-linear relationship. This agrees with Equation (1), which shows that the greater the pipe diameter the lower the head-loss (yielding higher pressure).

Figure 2

Variation of nodal pressure with pipe diameter.

Figure 2

Variation of nodal pressure with pipe diameter.

Close modal
Figure 3

Variation of head-loss with pipe diameter.

Figure 3

Variation of head-loss with pipe diameter.

Close modal

For pipe diameters exceeding 900 mm, the pressure remains the same because the head-loss falls to negligible values with sufficiently large pipe diameters. At this stage, friction between moving water and the pipe walls is greatly reduced because water ceases to exert additional pressure against the walls when the cross-sectional area is large compared to the volume of water entering the pipe.

Figure 4 shows how high pressure results from low link head-loss. Head-losses represent losses in pressure and, thus, with high head-losses, pressure is low.

Figure 4

Variation of nodal pressure with connecting link head-loss.

Figure 4

Variation of nodal pressure with connecting link head-loss.

Close modal

Effect of pipe size on water velocity

Figure 5 shows the variation of water velocity with pipe size (or cross-sectional area) for the same volumetric flow rate. The greater the pipe diameter the lower the flow velocity, in line with the principle of mass conservation.

Figure 5

Variation of velocity with pipe diameter.

Figure 5

Variation of velocity with pipe diameter.

Close modal
Under the principle of mass conservation, the mass flux (mass per unit time) flowing into a system must equal the mass flux flowing out. Taking water density as constant, the ‘volume flux’ (volume per unit time or discharge) can be used instead of ‘mass flux’. Discharge is the product of the pipe's cross-section area and the flow velocity, so the principle of conservation of mass can be represented by Equation (1):
formula
(1)
where and are the cross-sectional area and velocity, respectively, on the input side of the system, and and are the same functions, respectively, on the output side. In other words, at constant velocity, the greater the pipe diameter the higher the discharge. Equally, if the pipe size is constant, the higher the velocity, the higher the discharge. For the system to remain in equilibrium when the pipe diameter increases, the velocity must decrease. Equally, if the pipe diameter reduces, the velocity of water in the pipe will increase.

Effect of pressure variation along the pipe slope

Variation of pressure along a pipeline is demonstrated in Table 1. Pressure increases downstream along the pipe as the elevation falls. The lower the node elevation, the greater the height (static head) from which water is supplied, leading to higher pressures.

Table 1

Variation of pressure with elevation and head-loss

Location along pipe (m) from higher nodePressure difference due to elevation (m)Pressure (m)Head-loss (m)Final pressure (m)
20.71 20.71 
20 0.84 21.55 0.08 21.47 
40 1.68 22.39 0.17 22.23 
60 2.53 23.24 0.25 22.98 
80 3.37 24.08 0.34 23.74 
95 4.00 24.71 0.40 24.31 
Location along pipe (m) from higher nodePressure difference due to elevation (m)Pressure (m)Head-loss (m)Final pressure (m)
20.71 20.71 
20 0.84 21.55 0.08 21.47 
40 1.68 22.39 0.17 22.23 
60 2.53 23.24 0.25 22.98 
80 3.37 24.08 0.34 23.74 
95 4.00 24.71 0.40 24.31 

Other determinants of node pressures are the elevation at that point and at the supply tank. The greater the difference between the node and supply tank's elevations, the greater the nodal pressure. Table 2 shows the pressure variations at midnight at nodes 16 and 17, respectively at 1,184 and 1,175 masl (Figure 1). The supply tank elevation is modelled at different levels.

Table 2

Variation of supply tank elevation with pressure at nodes 16 and 15

Supply tank elevation (m)Node 16 pressure (m)Node 15 pressure (m)
1,200 20.24 29.22 
1,210 30.24 39.22 
1,220 40.24 49.22 
1,230 50.24 59.22 
1,240 60.24 69.22 
1,250 70.24 79.22 
Supply tank elevation (m)Node 16 pressure (m)Node 15 pressure (m)
1,200 20.24 29.22 
1,210 30.24 39.22 
1,220 40.24 49.22 
1,230 50.24 59.22 
1,240 60.24 69.22 
1,250 70.24 79.22 

The paper shows that adequate water supply to consumers is achieved not only by increasing production, but also through maintaining an efficient distribution network. Head-loss can be controlled in pipelines by using larger diameter and/or smooth and new pipes, and by limiting pipe lengths. This can be done by connecting consumers to larger pipes with short runs to supply tanks in the network. It is also important to note that pressures increase with an increase in the static head between the supply point and the node.

It is very important to select optimally-sized pipes to deliver the highest pressures and flows, while avoiding both under- and over-sizing, which both increase capital and operating costs. It is also important to run a hydraulic simulation of the network to investigate how changes to one part or parameter might have an impact elsewhere. This arises from conflicting constraints, for example, while enlarging pipe diameters can increase pressures, it reduces flow velocity. Thus, network optimization is very important to obtain the best results.

It follows directly and in agreement with the principle of mass conservation, that, to further improve supply, there should be mechanisms by which water drawn from the system is controlled, such as by rationing through valve control.

The author declares that there is no conflict of interest regarding the publication of this paper.

Biswas
A. K.
&
Seetharam
K. E.
2008
Achieving water security for Asia
.
International Journal of Water Resources Development
24
(
1
),
145
176
.
Khatri
K. B.
&
Vairavamoorthy
K.
2007
Challenges for Urban Water Supply and Sanitation in Developing Countries
.
Discussion draft paper for the session on urbanisation
.
UNESCO-IHE
,
Delft
,
The Netherlands
.
Kritpiphat
W.
,
Tontiwachwuthikul
P.
&
Chan
C. W.
1998
Pipeline network modelling and simulation for intelligent monitoring and control: a case study of a municipal water supply system
.
Industrial & Engineering Chemistry Research
37
(
3
),
1033
1044
.
Lee
E. J.
&
Schwab
K. J.
2005
Deficiencies in drinking water distribution systems in developing countries
.
Journal of Water and Health
3
(
2
),
109
127
.
National Water and Sewerage Corporation (NWSC)
2007
Annual Report
.
Kampala
,
Uganda
.
Nyende-Byakika
S.
2006
A Study of the Hydraulic Impact of Water Supply Network Expansions of Kampala Water
.
MSc thesis
,
Makerere University
,
Kampala
,
Uganda
.
Nyende-Byakika
S.
,
Ngirane-Katashaya
G.
&
Ndambuki
J. M.
2010
Behaviour of stretched water supply networks
.
Nile Water Science and Engineering Journal
3
(
1
),
51
60
.
Nyende-Byakika
S.
,
Ngirane-Katashaya
G.
&
Ndambuki
J. M.
2012
Impact of water demand management on sustainable water supply service delivery
.
WIT Transactions on The Built Environment
122
(
1
),
171
180
.
Rosenberg
D. E.
2008
Integrated Water Management and Modelling at Multiple Spatial Scales
.
PhD thesis
,
University of California Davis
,
Davis, CA
,
USA
.
Rossman
A. L.
2000
EPANET Users’ Manual
.
National Risk Management Laboratory, United States Environmental Protection Agency (USEPA)
,
Cincinnati, OH
,
USA
.
Vairavamoorthy
K.
,
Gorantiwar
S. D.
&
Pathirana
A.
2008
Managing urban water supplies in developing countries – climate change and water scarcity scenarios
.
Physics and Chemistry of the Earth
33
(
5
),
330
339
.
Zyoud
S. H. A. R.
2003
Hydraulic Performance of Palestinian Water Distribution Systems
.
MSc Thesis
,
An-Najah National University
,
Nablus, Palestine
.