This document discusses the differences between water and sewer network design and maintenance from a GIS perspective. It provides examples of how GIS is used to maintain physical network data for both purposes. GIS supports activities like asset management, work order tracking, billing systems, and long-term network simulation for predictive analysis. The document also shares a case study of a GIS implementation for the sewer network in Montevideo, Uruguay that integrated asset data with other systems.

1. Networks Management
&Maintenance

2. The Difference In Water Network From Design
And Maintenance Point Of View
Design Maintenance
The network includes main pipes >= 4”
diameter or less with hydraulic significance
The network includes all pipes diameters
down to the level of customer connection
Customer connections are not included Customer connections are included
Only main valves included (several)
affecting the design scenarios requirements.
All valves included. The desired number is:
NumValves = ∑Node(j, k)
k=1, NumLinesOnNode - 1,
j = 1, NumNodes
This ensures the possibility to isolate each
pipe line.
• The ratio of physical to design number of lines is in the
range of 1.5 – 5.0 and depends on the urban density
• The number of customer connections per 1Km is in the
range of 10 – 50

3. A Typical Physical Network

4. Typical Layouts of Design & Physical
Networks
Customer connection
is part of the network

5. The Difference In Sewage Network From
Design And Maintenance Point Of View
• There is no need for difference
• Sewage network is defined an open tree topology
• This topology simplifies the simulation resources.
• The GIS can maintain the physical network for both
maintenance & design requirements

6. The Establishment of GIS for Sewage
Network Maintenance
Montevideo Uruguay
• Required mission within the framework of a
organizational enforcement of the sewage
maintenance department of the city of Montevideo.
• 2 million residents
• 2,000 Km lines
• 40,000 pipe line segments (40,000 manholes)
• 10,000 street rain water collectors

7. The Establishment of GIS for Sewage
Activities Performed
• Implementation of GIS application
• The application managed the data collection in
accordance to network rules
• Collected data were linked to the main
organizational Oracle database.
• Up-stream manholes were related to parcels and thus
maintained reference to customers in the database
for billing consideration matters.
• Pipe capacity analysis & related annotation enabled.
• Detailed profile cross-sectioning enabled.

8. The Sewage Network Of Montevideo
Uruguay Overview

9. The Sewage Network of Montevideo
Zoom

10. The Sewage Network of Montevideo
Profile Cross-Section

11. GIS Maintenance Application Need More
Information
• Demand areas for water distribution
• Pressure zones
• Land utilities
• Cadaster & buildings
• Capture (drainage) for sewage
• Customer service
• Billing management
• SCADA
• And Much More

12. Water Demand Zone Layer (DMA)

13. Capture Zones & Sub Discharge Areas Layer
Sewage

14. Customer Service & Calling Center Events

15. Water Customer Billing Implementation
Santo Domingo (1)
The GIS network information
drilled down to level of a
single customer apartment

16. Water Customer Billing Implementation
Santo Domingo (2)
Over 300,000 customers
2 billing sub-contractors

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Service Point
Service Area
Itinerary
Water Customer Billing Structure

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12
Water Customer Billing Itinerary Report

19. GIS Model For Water Operation & Control
• SCADA GIS layer maintains a network topology.
• The SCADA facilities relate to water facilities in a
child to parent relationship.
• The role of SCADA facility is to sense hydraulic
parameters changes and to transmit operation
commands to water objects.
• SCADA network includes one control station.
• The water & SCADA networks include all required
information to perform long-term network
simulation.

20. Transmitter
AntennaReceiver
Information line
Control station
Implementation Of Water Operation &
Control GIS Model

21. • Long term simulation capability plugin in GIS
application can predict the future water flow velocity
& direction in each pipe line of the major network.
• Simple post contamination tracing process then can
predict the contamination spread rate an schedules.
• As a result a contaminated polygon can be
determined and maintenance teams can take actions
such as: close pump, valves etc.
• In parallel, customers are informed and the situation
is under control.
Using Long-Term Simulation As Decision Support
Tool During Water Contamination Event

22. Simulated Contamination Event
City Of Jerusalem

23. Live Demo
Contamination Event
SCADA