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Publications by Dr Steve Mounce

Authored Books or Chapters in Books

Mounce SR (2021)
Chapter 1: Data science trends and opportunities for smart water utilities,
ICT for smart water systems: Measurements and data science.
In: The Handbook of Environmental Chemistry. Springer, Berlin, Heidelberg.

ISBN 978-3-030-61972-5
Eds: Scozzari, Mounce, Han, Soldovieri and Solomatine

Boxall JB, Mounce SR (2011)
Chapter 8: Field Data, Water Loss Reduction.
Bentley Institute Press, Ed.
Zheng Wu, ISBN: 978-1-934493-08-3.

Mounce SR, Boxall JB (2011)
Chapter 9: Online Monitoring and Detection, Water Loss Reduction.
Bentley Institute Press, Ed.
Zheng Wu, ISBN: 978-1-934493-08-3.

Journal Papers

Shepherd, W, Mounce, SR, Sailor, G, Gaffney, J, Shah, N, Smith, N, Cartwright, A and Boxall, JB (2023)

Cloud based artificial intelligence analytics to assess combined sewer overflow performance

ASCE Journal of Water Resources Planning and Management, Special Edition on Artificial Intelligence and Autonomous Systems for Water Management. Vol.149, No. 10: 04023051 (1-12). DOI: 10.1061/JWRMD5.WRENG-5859.

Boatwright, SB, Mounce, SR, Romano, M and Boxall, JB (2023)

Integrated sensor placement and leak localisation using geospatial genetic algorithms

ASCE Journal of Water Resources Planning and Management, Vol.149, No. 9: 04023040 (1-14). DOI: 10.1061/JWRMD5.WRENG-6037

Mounce, SR, Shepherd, W, Boxall, JB, Horoshenkov, K and Boyle, J (2021)

Autonomous robotics for water and sewer networks.

Hydrolink, IAHR. No. 2/2021, pp.55-62.

 

Mounce, SR, Shepherd, W, Ostojin, S, Abdel-Aal, M, Schellart, A, Shucksmith, J, and Tait, S (2020)
Optimisation of a fuzzy logic based local real-time control system for mitigation of sewer flooding using genetic algorithms
IWA Journal of HydroInformatics
Vol 22 (2), pp 281–295

DOI: 10.2166/hydro.2019.058.

Romano, M., Boatwright, SR, Mounce, SR, Nikoloudi, E and Kapelan, Z (2020)

AI- based event management at United Utilities.

Hydrolink, IAHR. No. 4/2020, pp.104-108.

Furnass, WR, Mounce, SR, Husband, PS, Collins, RP and Boxall, JB (2019)
Calibrating and validating a combined accumulation and mobilisation model for water distribution system discolouration using particle swarm optimisation
Journal of Smart Water, Springer (Open Access)
Vol 4 (3), pp 1-24

DOI: 10.1186/s40713-019-0015-z

Speight, V, Mounce, SR and Boxall, JB (2019)
Identification of the causes of drinking water discolouration from machine learning analysis of historical datasets
Environmental Science: Water Research & Technology (Royal Society of Chemistry)
Vol 5, pp 747 - 755

DOI: 10.1039/c8ew00733k

Mounce, SR, Ellis, K, Edwards, J, Speight, V, Jakomis, N and Boxall, JB (2017)
Ensemble decision tree models using RUSBoost for estimating risk of iron failure in drinking water distribution systems
Water Resources Management
Vol 31 (5), pp 727-738

DOI: 10.1007/s11269-017-1595-8

 

Mounce, SR, Mounce, RB, Boxall, JB (2016)
Case-based reasoning to support decision making for managing drinking water quality events in distribution systems
Urban Water Journal
Vol 13 (7), pp 1575-1589

Blokker, EJM, Furnass, WR, Machell, J, Mounce, SR, Schaap, PG, Boxall, JB (2016)
Relating water quality and age in drinking water distribution systems using Self-Organising Maps
Environments Journal: Special Issue "Data-Modelling Applications in Water System Management"
3(2), 10; doi:10.3390/environments3020010.

 

Mounce, SR, Blokker, EJM, Husband, SP, Furnass, WR, Schaap, PG, Boxall, JB (2016)
Multivariate data mining for estimating the rate of discoloration material accumulation in drinking water distribution systems
IWA Journal of HydroInformatics
Vol 18 (1), pp. 96-114

Mounce, SR, Gaffney, JW, Boult, S, Boxall, JB (2015)
Automated data driven approaches to evaluating and interpreting water quality time series data from water distribution systems
ASCE Journal of Water Resources Planning and Management
Vol 141 (11), pp. 1-11

Mounce, SR, Mounce, RB, Jackson, T, Austin, J and Boxall, JB (2014)
Pattern matching and associative artificial neural networks for water distribution system time series data analysis
IWA Journal of HydroInformatics
Vol 16 (3), pp. 617-632

Machell, J, Mounce, SR, Farley, B, Boxall, JB (2014)
Online Data Processing for Proactive Water Distribution Network Operation
Drinking Water Engineering and Science
Vol 7, pp. 1-11, doi:10.5194/dwes-7-1-2014

Mounce, SR, Shepherd, W, Sailor, G, Shucksmith, J and Saul, AJ (2014)
Predicting CSO chamber depth using Artificial Neural Networks with rainfall radar data
IWA Water Science and Technology
Vol 69 (6), pp. 1326-1333

Furnass, WR, Collins, RP, Husband, PS, Sharpe, RL, Mounce, SR and Boxall, JB (2014)
Modelling both the continual erosion and regeneration of discolouration material in drinking water distribution systems
IWA Water Science and Technology: Water Supply
Vol 14 (1), pp. 81-90

Farley, B, Mounce, SR, Boxall, JB, (2013)
Development and field validation of a burst localisation methodology
ASCE Journal of Water Resources Planning and Management
Vol 139(6), pp 604–613

Furnass, WR, Mounce, SR, Boxall, JB, (2013)
Linking distribution system water quality issues to possible causes via hydraulic pathways
Journal of Environmental Modelling and Software
Vol 40, pp 78-87

Mounce, SR, Machell, J, Boxall, JB, (2012)
Water quality event detection and customer complaint clustering analysis in distribution systems
IWA Journal of Water Science and Technology: Water Supply
Vol 12 (5), pp 580-587

Mounce, SR, Mounce, RB, Boxall, J, (2012)
Identifying sampling interval for event detection in water distribution networks
ASCE Journal of Water Resources Planning and Management
Vol 138 (2), pp 187-191

Mounce, SR, Mounce, RB, Boxall, J, (2011)
Novelty detection for time series data analysis in water distribution systems using Support Vector Machines
Journal of HydroInformatics
Vol 13 (4), pp 672-686

Ostojin, S, Mounce, SR, Boxall, JB, (2011)
An artificial intelligence approach for optimising pumping in sewer systems
Journal of HydroInformatics
Vol 13 (3), pp 295-306

Farley, B, Mounce, SR, Boxall, JB, (2010)
Field Testing of an Optimal Sensor Placement Methodology in an Urban Water Distribution Network for Event Detection
Urban Water Journal
Vol 7 (6), pp 345-356

Mounce SR, Boxall JB, (2010)
Implementation of an on-line Artificial Intelligence District Meter Area flow meter data analysis system for abnormality detection: a case study.
Water Science and Technology: Water Supply (IWA)
Vol. 10 (3), pp 437-444

Mounce SR, Boxall JB, Machell J, (2010)
Development and Verification of an Online Artificial Intelligence System for Burst Detection in Water Distribution Systems
ASCE Water Resources Planning and Management
Vol. 136 (3), pp. 309-318

Machell J, Mounce SR, Boxall JB, (2010)
Online modelling of water distribution systems: A UK case study
Drinking Water Engineering and Science
Vol. 3 , pp 21-27 [Most downloaded DWES paper of 2010]

Mounce SR, Brewster C, Ashley R, Hurley L, (2010)
Knowledge management for more sustainable water systems.
Journal of Information Technology in Construction (ITcon)
Vol. 15, Special Issue Bringing urban ontologies into practice, pp 140-148, http://www.itcon.org/2010/11

Hurley L, Ashley RM, Mounce SR, (2008)
Addressing practical problems in sustainability assessment frameworks.
Proceedings of the Institution of Civil Engineers Engineering Sustainability 161
ES1, Paper 700022, pp 23-30, Doi 10.1680/ensu.2008.161.1.23

Hurley AL, Mounce SR, Ashley RM, (2007)
Relative sustainability assessment of five European projects aiming to reduce rainwater volume in sewer systems.
Water Practice and Technology
2 (2), ISSN 1751-231X

Hurley L, Mounce SR, Ashley RM, Memon F, Butler D, (2007)
Flexible process frameworks for the evaluation of relative sustainability in water management decisions.
The International Journal of Technology, Knowledge and Society
2 (7), pp 57-68, ISSN 1832-3669.

Khan A, Widdop PD, Day AJ, Wood AS, Mounce SR, Machell J, (2006)
Artificial Neural Network model for a low cost failure sensor: Performance assessment in pipeline distribution.
Proceedings of world academy of science, engineering and technology (WASET)
Vol. 15, pp 195-201, ISSN 1305-5313.

Mounce SR, Machell J, (2006)
Burst detection using hydraulic data from water distribution systems with artificial neural networks.
Urban Water Journal
3 (1), pp 21-31

Khan A, Widdop PD, Day AJ, Wood AS, Mounce SR, Machell J, (2005)
Performance assessment of leak detection failure sensors used in a water distribution system.
Journal of Water Supply: Research and Technology – AQUA
54 (1), pp 25-36

Mounce SR, Khan A, Wood AS, Day AJ, Widdop PD, Machell J, (2003)
Sensor-fusion of hydraulic data for burst detection and location in a treated water distribution system.
International Journal of Information Fusion
4 (3), pp 217-229

Mounce SR, Day AJ, Wood AS, Khan A, Widdop PD, Machell J, (2002)
A neural network approach to burst detection.
Water Science and Technology (IWA)
45 (4-5), pp 237-246

Khan A, Widdop PD, Day AJ, Wood AS, Mounce SR, Machell J, (2002)
Low-cost failure sensor design and development for water pipeline distribution systems.
Water Science and Technology (IWA)
45 (4-5), pp 207-216

Conference Papers

Simoes, N, Girao, L, Maluf, L, Shepherd, W, Ostojin, S, Marques, AS, Mounce, SR, Skipworth, PJ, Tait, S, and Leitao, JP (2018)
Real-time CSO spill control using existing in-sewer storage
11th International Conference on Urban Drainage Modelling, Palermo, Italy, 23rd to 26th September, 2018

Kazemi, E, Mounce, SR, Husband, S, and Boxall, JB (2018)
Predicting turbidity in water distribution trunk mains using nonlinear autoregressive exogenous artificial neural networks
Proceedings of 13th HydroInformatics conference, Palermo, Sicily, 1st to 6th July, 2018.
[Presenting author]

Boatwright, S, Romano, M, Mounce, SR and Boxall, JB (2018)
Optimal sensor placement and leak/burst localisation in a water distribution system using spatially-constrained inverse-distance weighted interpolation
Proceedings of 13th HydroInformatics conference, Palermo, Sicily, 1st to 6th July, 2018.

Abdel-Aal, M, Shepherd, W, Ostojin, S, Mounce, SR, Shucksmith, J, Schellart, A, Skipworth PJ, Steinhardt, J and Tait, S (2017)
Developing and testing a Fuzzy Logic algorithm to alleviate the risk of flooding by controlling a flow control device in a laboratory setting
14th IWA/ IAHR International Conference on Urban Drainage, Prague, Czech Republic,
10th-15th September, 2017.
http://doi.org/10.5281/zenodo.890882

Maluf, L, Shepherd, W, Ostojin, S, Simoes, N, Marques, AS, Mounce, SR, Leitao, JP and Skipworth PJ (2017)
Real time flow control to utilise existing in-sewer storage
14th IWA/ IAHR International Conference on Urban Drainage, Prague, Czech Republic,
10th-15th September, 2017.

Mounce, SR, Fargus, A, Weeks, M, Young, J, Jackson, T, Goya, E, and Boxall, JB (2017)
Online advanced uncertain reasoning architecture with binomial event discriminator system for novelty detection in smart water networks
Proceedings of Computing and Control for the Water Industry (CCWI2017)
Sheffield, UK, 5th to 7th September 2017

Shepherd, W, Mounce, SR, Ostojin, S, Abdel-Aal, M, Schellart, A, Skipworth PJ and Tait, S (2017)
Optimising a Fuzzy Logic Real-Time Control System for Sewer Flooding Reduction using a Genetic Algorithm
Proceedings of Computing and Control for the Water Industry (CCWI2017)
Sheffield, UK, 5th to 7th September 2017

Boatwright, S, Romano, M, Mounce, SR, Woodward, K and Boxall, JB (2017)
Investigating statistical process control and geostatistical techniques for approximate leak/burst event location
Proceedings of Computing and Control for the Water Industry (CCWI2017)
Sheffield, UK, 5th to 7th September 2017

Mackey, T, Mounce, SR, Boxall, JB and Cashman, A (2017)
A Multivariate Geospatial Data-Driven Approach to Descriptive Modelling of Burst Behaviour in a Small Island Context
Proceedings of Computing and Control for the Water Industry (CCWI2017)
Sheffield, UK, 5th to 7th September 2017

Starczewska, D, Gaffney, J, Boult, B, Mounce, SR and Boxall, JB (2017)
Water network characterisation based on mass balance with regards to discolouration risk using high frequency turbidity monitoring.
Proceedings of Computing and Control for the Water Industry (CCWI2017)
Sheffield, UK, 5th to 7th September 2017

Mounce, SR (2017)
Visualising Smart Water Meter Dataset Clustering With Parametric t-distributed Stochastic Neighbour Embedding.
Proceedings of 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (IEEE). Guilin, China. Vol. 1, pp. 1940 - 1945.
DOI: 10.1109/FSKD.2017.8393065
ISBN: 978-1-5386-2165-3

Shepherd, W, Ostojin, S, Mounce, SR, Skipworth, P, and Tait, S (2016)
CENTAUR: Real time flow control system for flood risk reduction
Proceedings of CIWEM UDG conference, Blackpool, UK
9th - 11th November, 2016.

Mounce, SR, Furnass, WR, Goya, E, Hawkins, M and Boxall, JB (2016)
Clustering and classification of aggregated smart meter data to better understand how demand patterns relate to customer type
Proceedings of Computing and Control for the Water Industry (CCWI2016)
Amsterdam, Netherlands, 7th to 9th November 2016

Imschoot, DPO, Furnass, WR, Mounce, SR and Boxall, JB (2016)
Flow-Pressure Sensor Placement Optimisation for Pipe Burst Localisation in a Water Distribution Network
Proceedings of Computing and Control for the Water Industry (CCWI2016)
Amsterdam, Netherlands, 7th to 9th November 2016

Boatwright, S, Romano, M, Mounce, SR, Woodward, K and Boxall, JB (2016)
Approximating the Location of Leaks and Bursts within a District Metered Area using Data—Driven Analytics
Proceedings of Computing and Control for the Water Industry (CCWI2016)
Amsterdam, Netherlands, 7th to 9th November 2016

Abdel-Aal, M, Shepherd, W, Mounce, SR, Ostojin, S, Schellart, A, Shucksmith, J, Skipworth P and Tait, S (2016)
Alleviating The Risk of Sewer Flooding using Fuzzy Logic in a Real Time Control System – An Experimental Study
Proceedings of SPN8 conference, Rotterdam, Netherlands
31st August - 2nd September, 2016.

Mounce, SR, Pedraza, C, Jackson, T, Linford, P and Boxall, JB (2015)
Cloud Based Machine Learning Approaches for Leakage Assessment and Management in Smart Water Networks
Computing and Control for the Water Industry (CCWI2015)
Procedia Engineering, Vol. 119, pp. 43-52

Ellis, K, Mounce, SR, Edwards, J, Speight, V, Jakomis, N and Boxall, JB (2015)
Interpreting and Estimating the Risk of Iron Failures
Computing and Control for the Water Industry (CCWI2015)
Procedia Engineering, Vol. 119, pp. 299-308

Ellis, K, Mounce, SR, Ryan, B, Biggs, CA and Templeton, MR (2015)
Improving Root Cause Analysis of Bacteriological Water Quality Failures at Water Treatment Works
Computing and Control for the Water Industry (CCWI2015)
Procedia Engineering, Vol. 119, pp. 309-318

Mounce, SR, Shepherd, W, Sailor, G, Saul, A and Boxall, JB (2014)
Application of Artificial Neural Networks to Assess CSO Performance
13th International Conference on Urban Drainage, Sarawak, Malaysia,
7th-12th September, 2014.

Mounce, SR, Sharpe, RL, Speight, V, Holden, B and Boxall, JB (2014)
Knowledge discovery from large disparate corporate databases using self-organising maps to help ensure supply of high quality potable water
Proceedings of 11th HydroInformatics conference, New York, USA,
16th-21st August, 2014.

Mounce, SR, Mounce, RB and Boxall, JB (2014)
Case-based reasoning approach for managing water quality incidents in distribution systems
Proceedings of 11th HydroInformatics conference, New York, USA,
16th-21st August, 2014.

Mounce, SR, Husband, PS, Furnass, WR and Boxall, JB (2014)
Multivariate data mining for estimating the rate of discolouration material accumulation in drinking water pipelines
Proceedings of 16th Water Distribution Systems Analysis Conference, Bari, Italy,
14-17th July, 2014.

Furnass, WR, Douterelo, I, Collins, R, Mounce, SR and Boxall, JB (2014)
Controlled, realistic-scale, experimental study of how the quantity and erodibility of discolouration material varies with shear strength
Proceedings of 16th Water Distribution Systems Analysis Conference, Bari, Italy,
14-17th July, 2014.

Ostojin, S, Mounce, SR, Singerton, D and Boxall, JB (2013)
Autonomous fuzzy logic control of pumping in sewer systems
Proceedings of 11th IWA conference on instrumentation control and automation (poster), Narbonne, France
18th-20th September, 2013.

Ellis, K, Mounce, SR, Ryan, B, Templeton, MR and Biggs, CA (2013)
Use of monitor data to predict bacteriological failures
Proceedings of CCWI 2013 conference, Perugia, Italy
2nd-4th September, 2013.

Mounce, SR, Sailor, G, Shepherd, W, Shucksmith, J and Saul, A (2013)
Predicting CSO chamber depth using Artificial Neural Networks with rainfall radar data.
Proceedings of SPN7 conference, Sheffield, UK
28th-30th August, 2013.

Mounce, SR (2013)
A comparative study of artificial neural network architectures for time series prediction of water distribution system flow data.
Proceedings of MaLWaS Sympsium, AISB-IACA conference, ISBN: 978-1-908187-33-8, University of Exeter,
3rd-5th April, 2013.

Mounce, SR (2013)
Data driven approaches for obtaining network knowledge from online distribution system sensors.
In Real Time and Decision Support session, Sensing in Water 2013 annual conference, Nottingham, UK
September 25-26th, 2013.

Furnass, WR, Collins, RP, Husband, PS, Mounce, SR and Boxall, JB (2012)
Modelling both the continual erosion and regeneration of discolouration material in drinking water distribution systems.
Proceedings of IWA New Developments in IT Water conference, Amsterdam, The Netherlands,
4-6th November, 2012.

Leeder, A, Mounce, SR, and Boxall, JB (2012)
Analysis of multi-parameter water quality data using event detection software on laboratory simulated events.
Proceedings of 14th Water Distribution Systems Analysis Conference, Adelaide, Australia,
24-27th September, 2012.

Ostojin, S, Mounce, SR, Singerton, D and Boxall, JB (2012)
Field validation of an artificial intelligence based sewer pump control system.
Proceedings of the 9th IWA/IAHR conference on Urban Drainage Modelling, Belgrade, Serbia,
3-7th September, 2012.

Mounce, SR, Douterelo, I, Sharpe, RL and Boxall, JB (2012)
A bio-hydroinformatics application of self-organizing map neural networks for assessing microbial and physico-chemical water quality in distribution systems.
Proceedings of 10th HydroInformatics conference, Hamburg, July 2012, ISBN 978-3-941492-45-5.

Mounce, SR, Jensen, HJ, Boxall, JB and Biggs, CA (2012)
Data mining T-RFLP profiles from water system sampling using Self-Organising Maps.
Proceedings of 8th International Conference on Natural Computation and the 9th Proceedings of International Conference on Fuzzy Systems and Knowledge Discovery (IEEE), vol. 1, pp. 219-223.

Furnass, W, Mounce, SR and Boxall, JB, (2011)
A data-driven methodology for determining the causes of discolouration in distribution networks.
Proceedings of CCWI 2011, Exeter, UK
September, pp. 645-650

Ostojin, S, Mounce, SR and Boxall, JB, (2011)
Operational control of sewer pumping stations to minimise energy costs considering efficiency.
Proceedings of CCWI 2011, Exeter, UK
September, pp. 533-538

Farley, B, Mounce, SR and Boxall, JB, (2010)
Field validation of ‘optimal’ instrumentation methodology for burst/leak detection and location
Proceedings of WDSA, Arizona, USA
ASCE Conf. Proc. doi:10.1061/41203(425)99

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
Chemical Industry Press, Vol 2, pp 1258-1265

Mounce, SR, Boxall, JB, (2009)
Implementation of an on-line Artificial Intelligence DMA flow meter data analysis system for abnormality detection: a case study.
10th IWA conference on instrumentation, control and automation, Cairns, Australia
June

Machell J, Mounce SR, Boxall JB, (2009)
Online modelling of water distribution systems: A UK case study
Integrating Water Systems. Boxall and Maksimovic (eds)
Taylor and Francis, pp 307-311, ISBN 978-0-415-54851-9.

Ostojin S, Boxall JB, Mounce SR, Singerton D, (2009)
An artificial intelligence approach for optimising pumping in sewer systems
Integrating Water Systems. Boxall and Maksimovic (eds)
Taylor and Francis, pp 307-311, ISBN 978-0-415-54851-9.

Mounce SR, Brewster C, Ashley RM, Hurley L, (2009)
Knowledge management for more sustainable water systems
Urban Ontologies for an improved communication in urban development projects,
EU Cost C21 Final Conference, 9-10 March 2009, pp 39-49, Les Editions de l’Universite de Liege. ISBN: 978-2-87456-082-8.

Kurth A, Saul A, Mounce SR, Shepherd W, Hanson D, (2008)
Application of Artificial Neural Networks (ANNs) for the prediction of CSO discharges.
11th International Conference on Urban Drainage, Edinburgh, Scotland
31 August-5 September

Hurley L, Mounce SR, Ashley RM, (2008)
Flexiframe: A flexible framework of decision support for more sustainable water and wastewater management in new UK housing developments.
11th International Conference on Urban Drainage, Edinburgh, Scotland
31 August-5 September

Hurley L, Mounce SR, Ashley RM, Blanksby JB, (2008)
No Rainwater In Sewers (NORIS): Assessing the relative sustainability of different retrofit solutions.
11th International Conference on Urban Drainage, Edinburgh, Scotland
31 August-5 September

Mounce SR, Boxall JB, Machell J, (2008)
Online application of ANN and Fuzzy Logic system for burst detection
Proceedings of the 10th Water Distribution System Analysis Symposium, South Africa
17-20 August, (ASCE online)

Farley B, Boxall JB, Mounce SR, (2008)
Optimal locations of pressure meter for burst detection
Proceedings of the 10th Water Distribution System Analysis Symposium, South Africa
17-20 August, (ASCE online)

Mounce SR, Boxall JB, Machell J, (2007)
An Artificial Neural Network/Fuzzy Logic system for DMA flow meter data analysis providing burst identification and size estimation.
Water Management Challenges in Global Change.
Ulanicki et al. (eds), Taylor and Francis, pp 313-320, ISBN 978-0-415-45415-5.

Hurley AL, Mounce SR, Ashley RM, Makropoulos C, (2007)
Support for more sustainable decision making in urban water management.
In Water Management Challenges in Global Change CCWI2007 & SUWM2007, De Montfort University, Leicester
September, pp 577-584, ISBN 978-0-415-45415-5.

Mounce SR, Hurley AL, Ashley RM, Makropoulos CK, Morley M, Gilmour D, Fewtrell L, (2007)
A decision support framework providing tools for more sustainable water management decisions in new urban housing developments.
In Water Management Challenges in Global Change CCWI2007 & SUWM2007, De Montfort University, Leicester
September, pp 551-559, ISBN 978-0-415-45415-5.

Memon F, Makropoulos CK, Liu S, Fewtrell L, Hurley AL, Mounce SR, Morley MS, Butler D, (2007)
Decision support tools for the delivery of sustainable urban water management in new developments.
In Water Management Challenges in Global Change CCWI2007 & SUWM2007, De Montfort University, Leicester
September, pp 601-608, ISBN 978-0-415-45415-5.

Hurley L, Mounce SR, Gilmour D, Mounce R, Newman R, Ashley RM, Makropoulos C, Sefton C, (2007)
Support for More Sustainable Water Management Decisions in New UK Urban Housing Developments.
In IWA Watermatex Conference, Washington
May

Hurley AL, Mounce SR, Ashley RM, Gilmour D, Makropoulos C, (2007)
A decision support system for water cycle management in new developments: the use of scenarios for consideration of sustainability imperatives.
In International Conference on Whole Life Urban Sustainability and its Assessment, Glasgow Caledonian University
June

Hurley AL, Mounce S.R, Ashley RM, (2007)
Development of a sustainability evaluation framework in a European water management context.
Proceedings of the 3rd International Conference on Technology, Knowledge and Society, Cambridge University, Cambridge, UK
9 -12 January

Ashley RM, Butler D, Hurley L, Memon F, Mounce SR, (2006)
The development of criteria and indicators for the inclusion of sustainability imperatives in increasingly complex and trans-disciplinary decision-making.
Proceedings of the IWA World Water Congress and Exhibition, Beijing, China
10-14 September

Hurley L, Mounce SR, Ashley RM, Dodson H, (2006)
The Role of Macrophyte-Associated Micro-organisms in Hydrocarbon Degradation within Constructed Wetlands (poster)
Proceedings of the IWA World Water Congress and Exhibition, Beijing, China
10-14 September

Mounce SR, Machell J, Boxall J, (2006)
Development Of Artificial Intelligence Systems For Analysis Of Water Supply System Data.
Proceedings of the 8th Water Distribution System Analysis Symposium, Cincinnati USA
27-30 August

Khan A, Widdop PD, Day AJ, Wood AS, Mounce SR, Machell J, (2006)
Measured Water Temperature Characteristics In A Pipeline Distribution System.
Proceedings of the 10th Mechatronics Forum Biennial International Conference, Penn State Great Valley, USA.
19-21 June

Hurley L, Mounce S, Ashley RM, (2006)
Relative sustainability assessment of 5 european projects aiming to reduce rainwater volume in sewer systems.
In 7th Int Conf on Urban Drainage Modelling/4th Int Conf on Water sensitive urban design, Melbourne
April, pp 609-616, ISBN 0-646-45903-1

Mounce S, Hurley L, Ashley RM, (2006)
The development of a flexible, knowledge based framework that supports more sustainable decision making for water cycle management in new developments
Proceedings of the 7th International Conference on Urban Drainage Modelling and 4th International Conference on Water Sensitive Urban Design, Melbourne, Australia.
2-7 April. Ed. Deletic A, Fletcher T. Vol 2, pp 137-144, ISBN 0-646-45903-1.

Hurley L, Mounce SR, Ashley RM, (2006)
Support for integrative decision making in more sustainable urban water management.
Proceedings of GBEN 2006 - Global Built Environment: Towards an Integrated Approach for Sustainability. University of Central Lancashire, Preston, UK
11-12 September

Mounce, SR, Day, AJ, Wood, AS, Khan, A, Widdop, PD and Machell, J (2001)
A neural network approach to burst detection
1st IWA Conference on Instrumentation, Control and Automation, Malmo, Sweden,
June 3-7 2001

Khan, A, Widdop, PD, Day, AJ, Wood, AS, Mounce, SR, and Machell, J (2001)
Low-cost failure sensor design and development for water pipeline distribution systems
1st IWA Conference on Instrumentation, Control and Automation, Malmo, Sweden,
June 3-7 2001

Torsun, IS, Mounce, SR, Day, AJ, Wood, AS, and Khan, A, (1999)
Neural network for leak detection in pipeline distribution networks
International Conference on Computing and Control for the water industry CCWI'99, University of Exeter, UK, September 1999

 

Other Publications – in Press

UKWIR (2019)
Smart metering and smart networks for leakage management report
UK Water Industry Research Limited.
Authors: Connolly, M., Hayward, R.,McNally, T., Mounce, S. R., Moss, S., Tam, B. and Van de Vyver, C
Report number: 19/WM/08/70

Eley, A, Wellington, J, Pitts, S, and Biggs, C, (2012)
Becoming a successful early career researcher,
Routledge
ISBN: 978-0-415-67247-4. Interviewed for Podcast 7 ‘Applying for research funding’ as described on page xii

Butler et al.(2010)
Guidance on water cycle management for new developments (WaND) (C690),
CIRIA publishing
ISBN: 978-0-86017-690-9. [WaND multimedia portal CD included with book, developed by Mounce et al.]

Mounce SR, (2008)
Innovative data analysis techniques for leakage detection in water distribution systems
Water and Sewerage Journal (McMillan-Scott)
1/2008, pp 49-51

Mounce SR, (2007)
Data analysis for leak detection in water distribution systems
Water and Sewerage Journal (McMillan-Scott)
1/2007, pp 29-30

Makropoulos CK, Morley MS, Mounce SR, Memon FA, Butler D, Savic D and Ashley RM, (2006)
A Decision Support Framework And Tools For Sustainable Urban Water Planning And Management In New Urban Areas
Newsletter of the IWA Specialist Group on Systems Analysis And Integrated Assessment
3(2), pp. 11-12

 

Mounce SR, (2005)
Leakage detection techniques in water distribution systems
Water and Sewerage Journal (McMillan-Scott)
4/2005, pp 27-28

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