References
1. Colombo AF, Karney BW (2002) Energy and costs of leaky pipes: toward comprehensive
picture. J Water Resour Plan Manag 128(6):441–450
2. Sadiq R, Kleiner Y, Rajani B (2006) Estimating risk of contaminant intrusion in distribution
networks using Dempster-Shafer theory of evidence. Civ Eng Environ Syst 23(3):129–141
3. Colombo AF, Lee PJ, Karney BW (2009) A selective literature review of transient-based leak
detection methods. J Hydro Environ Res 2(4):212–227
4. Li R, Huang H, Xin K, Tao T (2015) A review of methods for burst/leakage detection and
location in water distribution systems. Water Sci Technol Water Supply 15(3):429–441
5. Mutikanga HE, Sharma SK, Vairavamoorthy K (2013) Methods and tools for managing losses
in water distribution systems. J Water Resour Plan Manag 139(2):166–174
6. Puust R, Kapelan Z, Savić DA, Koppel T (2010) A review of methods for leakage management in pipe networks. Urban Water J 7(25):25–45
7. Wu Y, Liu S (2017) A review of data-driven approaches for burst detection in water
distribution systems. Urban Water J 14(9):972–983
8. Boatwright S, Romano M, Mounce S, Woodward K, Boxall J (2016) Approximate location of
leaks and bursts within a district metered area using statistical process control and
geostatistical techniques. Proceedings of the 14th international conference on computing and
control for the water industry, Amsterdam, The Netherlands
9. Casillas MV, Garza-Castanon LE, Puig V (2013) Extended-horizon analysis of pressure
sensitivities for leak detection in water distribution networks: application to the Barcelona
network. Proceedings of the 2013 European control conference, Zurich, Switzerland
10. Casillas MV, Garza-Castanon LE, Puig V (2013) Model-based leak detection and location in
water distribution networks considering an extended-horizon analysis of pressure sensitivities.
J Hydroinf 16(3):649–670
11. Farley B, Mounce SR, Boxall JB (2013) Development and field validation of a burst
localisation methodology. J Water Resour Plan Manag 139(6):604–613
12. Mounce SR, Boxall JB, Machell J (2010) Development and verification of an online artificial
intelligence system for detection of bursts and other abnormal flows. J Water Resour Plan
Manag 136(3):309–318
13. Mounce SR, Farley B, Mounce RB, Boxall JB (2010) Field testing of optimal sensor
placement and data analysis methodologies for burst detection and location in an urban
water network. Proceedings of the 9th international conference on hydroinformatics, Tianjin,
China
14. Mounce SR, Mounce RB, Boxall JB (2011) Novelty detection for time series data analysis in
water distribution systems using support vector machines. J Hydroinf 13(4):672–686
15. Romano M, Kapelan Z, Savic DA (2013) Geostatistical techniques for approximate location of
pipe burst events in water distribution systems. J Hydroinf 15(3):634–651
16. Romano M, Kapelan Z, Savic DA (2014) Automated detection of pipe bursts and other events
in water distribution systems. J Water Resour Plan Manag 140(4):457–467
17. Romano M, Woodward K, Kapelan Z (2016) Statistical process control based system for
approximate location of pipe bursts and leaks in water distribution systems. Proceedings of the
18th water distribution systems analysis conference, Cartagena de Indias, Colombia
18. Van Thienen P (2013) A method for quantitative discrimination in flow pattern evolution of
water distribution supply areas with interpretation in terms of demand and leakage. J Hydroinf
15(1):86–102
19. Berry J, Carr RD, Hart WE, Leung VJ, Phillips CA, Watson J-P (2009) Designing contamination warning systems for municipal water networks using imperfect sensors. J Water
Resour Plan Manag 135(4):253–263
58
M. Romano
1. Colombo AF, Karney BW (2002) Energy and costs of leaky pipes: toward comprehensive
picture. J Water Resour Plan Manag 128(6):441–450
2. Sadiq R, Kleiner Y, Rajani B (2006) Estimating risk of contaminant intrusion in distribution
networks using Dempster-Shafer theory of evidence. Civ Eng Environ Syst 23(3):129–141
3. Colombo AF, Lee PJ, Karney BW (2009) A selective literature review of transient-based leak
detection methods. J Hydro Environ Res 2(4):212–227
4. Li R, Huang H, Xin K, Tao T (2015) A review of methods for burst/leakage detection and
location in water distribution systems. Water Sci Technol Water Supply 15(3):429–441
5. Mutikanga HE, Sharma SK, Vairavamoorthy K (2013) Methods and tools for managing losses
in water distribution systems. J Water Resour Plan Manag 139(2):166–174
6. Puust R, Kapelan Z, Savić DA, Koppel T (2010) A review of methods for leakage management in pipe networks. Urban Water J 7(25):25–45
7. Wu Y, Liu S (2017) A review of data-driven approaches for burst detection in water
distribution systems. Urban Water J 14(9):972–983
8. Boatwright S, Romano M, Mounce S, Woodward K, Boxall J (2016) Approximate location of
leaks and bursts within a district metered area using statistical process control and
geostatistical techniques. Proceedings of the 14th international conference on computing and
control for the water industry, Amsterdam, The Netherlands
9. Casillas MV, Garza-Castanon LE, Puig V (2013) Extended-horizon analysis of pressure
sensitivities for leak detection in water distribution networks: application to the Barcelona
network. Proceedings of the 2013 European control conference, Zurich, Switzerland
10. Casillas MV, Garza-Castanon LE, Puig V (2013) Model-based leak detection and location in
water distribution networks considering an extended-horizon analysis of pressure sensitivities.
J Hydroinf 16(3):649–670
11. Farley B, Mounce SR, Boxall JB (2013) Development and field validation of a burst
localisation methodology. J Water Resour Plan Manag 139(6):604–613
12. Mounce SR, Boxall JB, Machell J (2010) Development and verification of an online artificial
intelligence system for detection of bursts and other abnormal flows. J Water Resour Plan
Manag 136(3):309–318
13. Mounce SR, Farley B, Mounce RB, Boxall JB (2010) Field testing of optimal sensor
placement and data analysis methodologies for burst detection and location in an urban
water network. Proceedings of the 9th international conference on hydroinformatics, Tianjin,
China
14. Mounce SR, Mounce RB, Boxall JB (2011) Novelty detection for time series data analysis in
water distribution systems using support vector machines. J Hydroinf 13(4):672–686
15. Romano M, Kapelan Z, Savic DA (2013) Geostatistical techniques for approximate location of
pipe burst events in water distribution systems. J Hydroinf 15(3):634–651
16. Romano M, Kapelan Z, Savic DA (2014) Automated detection of pipe bursts and other events
in water distribution systems. J Water Resour Plan Manag 140(4):457–467
17. Romano M, Woodward K, Kapelan Z (2016) Statistical process control based system for
approximate location of pipe bursts and leaks in water distribution systems. Proceedings of the
18th water distribution systems analysis conference, Cartagena de Indias, Colombia
18. Van Thienen P (2013) A method for quantitative discrimination in flow pattern evolution of
water distribution supply areas with interpretation in terms of demand and leakage. J Hydroinf
15(1):86–102
19. Berry J, Carr RD, Hart WE, Leung VJ, Phillips CA, Watson J-P (2009) Designing contamination warning systems for municipal water networks using imperfect sensors. J Water
Resour Plan Manag 135(4):253–263
58
M. Romano