Publications
2024
Lattice-Boltzmann LES modelling of a full-scale, biogas-mixed anaerobic digester
Dapelo, D., Kummerländer, A., Krause, M. J., & Bridgeman, J. (n.d.). Lattice-Boltzmann LES modelling of a full-scale, biogas-mixed anaerobic digester. Engineering with Computers: an international journal for simulation-based engineering. doi:10.1007/s00366-023-01854-3
2023
2022
Protein fractionation of <i>Hibiscus cannabinus</i> (kenaf) seeds, its characterization, and potential use for water treatment
Okoro, B. U., Sharifi, S., Jesson, M., & Bridgeman, J. (2022). Protein fractionation of <i>Hibiscus cannabinus</i> (kenaf) seeds, its characterization, and potential use for water treatment. WATER ENVIRONMENT RESEARCH, 94(11). doi:10.1002/wer.10805
Understanding metal concentration and speciation in motorway runoff
Zakharova, J., Pouran, H., Bridgeman, J., Wheatley, A., & Arif, M. (2022). Understanding metal concentration and speciation in motorway runoff. ENVIRONMENTAL TECHNOLOGY, 43(11), 1732-1744. doi:10.1080/09593330.2020.1850874
2021
Natural organic matter (NOM) and turbidity removal by plant-based coagulants: A review
Okoro, B. U., Sharifi, S., Jesson, M. A., & Bridgeman, J. (2021). Natural organic matter (NOM) and turbidity removal by plant-based coagulants: A review. JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 9(6). doi:10.1016/j.jece.2021.106588
Lattice-Boltzmann coupled models for advection-diffusion flow on a wide range of Peclet numbers
Dapelo, D., Simonis, S., Krause, M. J., & Bridgeman, J. (2021). Lattice-Boltzmann coupled models for advection-diffusion flow on a wide range of Peclet numbers. JOURNAL OF COMPUTATIONAL SCIENCE, 51. doi:10.1016/j.jocs.2021.101363
Characterisation and performance of three Kenaf coagulation products under different operating conditions
Okoro, B. U., Sharifi, S., Jesson, M., Bridgeman, J., & Moruzzi, R. (2021). Characterisation and performance of three Kenaf coagulation products under different operating conditions. WATER RESEARCH, 188. doi:10.1016/j.watres.2020.116517
2020
The application of Buckingham π theorem to Lattice-Boltzmann modelling of sewage sludge digestion
Dapelo, D., Trunk, R., Krause, M. J., Cassidy, N., & Bridgeman, J. (2020). The application of Buckingham π theorem to Lattice-Boltzmann modelling of sewage sludge digestion. COMPUTERS & FLUIDS, 209. doi:10.1016/j.compfluid.2020.104632
Characterisation of dissolved organic matter to optimise powdered activated carbon and clarification removal efficiency
Shutova, Y., Rao, N. R. H., Zamyadi, A., Baker, A., Bridgeman, J., Lau, B., & Henderson, R. K. (2020). Characterisation of dissolved organic matter to optimise powdered activated carbon and clarification removal efficiency. ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY, 6(8), 2065-2077. doi:10.1039/d0ew00149j
A CFD strategy to retrofit an anaerobic digester to improve mixing performance in wastewater treatment
Dapelo, D., & Bridgeman, J. (2020). A CFD strategy to retrofit an anaerobic digester to improve mixing performance in wastewater treatment. WATER SCIENCE AND TECHNOLOGY, 81(8), 1646-1657. doi:10.2166/wst.2020.086
A combined experimental and numerical approach to the assessment of floc settling velocity using fractal geometry
Moruzzi, R. B., Bridgeman, J., & Silva, P. A. G. (2020). A combined experimental and numerical approach to the assessment of floc settling velocity using fractal geometry. WATER SCIENCE AND TECHNOLOGY, 81(5), 915-924. doi:10.2166/wst.2020.171
Changes in global groundwater organic carbon driven by climate change and urbanization
McDonough, L. K., Santos, I. R., Andersen, M. S., O'Carroll, D. M., Rutlidge, H., Meredith, K., . . . Baker, A. (2020). Changes in global groundwater organic carbon driven by climate change and urbanization. NATURE COMMUNICATIONS, 11(1). doi:10.1038/s41467-020-14946-1
In situ fluorescence measurements of dissolved organic matter: A review
Carstea, E. M., Popa, C. L., Baker, A., & Bridgeman, J. (2020). In situ fluorescence measurements of dissolved organic matter: A review. SCIENCE OF THE TOTAL ENVIRONMENT, 699. doi:10.1016/j.scitotenv.2019.134361
2019
Identifying Molecular Mass of Coagulant Protein from Edible <i>Hibiscus</i> Seeds Using SDS-PAGE Analysis
Jones, A. N., & Bridgeman, J. (2019). Identifying Molecular Mass of Coagulant Protein from Edible <i>Hibiscus</i> Seeds Using SDS-PAGE Analysis. JOURNAL OF ENVIRONMENTAL ENGINEERING, 145(11). doi:10.1061/(ASCE)EE.1943-7870.0001595
Towards Lattice-Boltzmann modelling of unconfined gas mixing in anaerobic digestion
Dapelo, D., Trunk, R., Krause, M. J., & Bridgeman, J. (2019). Towards Lattice-Boltzmann modelling of unconfined gas mixing in anaerobic digestion. COMPUTERS & FLUIDS, 180, 11-21. doi:10.1016/j.compfluid.2018.12.008
A fluorescence-based assessment of the fate of organic matter in water treated using crude/purified Hibiscus seeds as coagulant in drinking water treatment
Jones, A. N., & Bridgeman, J. (2019). A fluorescence-based assessment of the fate of organic matter in water treated using crude/purified Hibiscus seeds as coagulant in drinking water treatment. SCIENCE OF THE TOTAL ENVIRONMENT, 646, 1-10. doi:10.1016/j.scitotenv.2018.07.266
2018
Assessment of mixing quality in full-scale, biogas-mixed anaerobic digestion using CFD
Dapelo, D., & Bridgeman, J. (2018). Assessment of mixing quality in full-scale, biogas-mixed anaerobic digestion using CFD. BIORESOURCE TECHNOLOGY, 265, 480-489. doi:10.1016/j.biortech.2018.06.036
Disinfection ability of hibiscus seeds in water treatment
Jones, A. N., & Bridgeman, J. (2018). Disinfection ability of hibiscus seeds in water treatment. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 171(4), 216-222. doi:10.1680/jwama.16.00106
Euler-Lagrange Computational Fluid Dynamics simulation of a full-scale unconfined anaerobic digester for wastewater sludge treatment
Dapelo, D., & Bridgeman, J. (2018). Euler-Lagrange Computational Fluid Dynamics simulation of a full-scale unconfined anaerobic digester for wastewater sludge treatment. ADVANCES IN ENGINEERING SOFTWARE, 117, 153-169. doi:10.1016/j.advengsoft.2017.08.009
CFD as a Tool to Optimize Aeration Tank Design and Operation
Karpinska, A. M., & Bridgeman, J. (2018). CFD as a Tool to Optimize Aeration Tank Design and Operation. JOURNAL OF ENVIRONMENTAL ENGINEERING, 144(2). doi:10.1061/(ASCE)EE.1943-7870.0001307
Online Fluorescence Monitoring of Effluent Organic Matter in Wastewater Treatment Plants
Carstea, E. M., Zakharova, Y. S., & Bridgeman, J. (2018). Online Fluorescence Monitoring of Effluent Organic Matter in Wastewater Treatment Plants. JOURNAL OF ENVIRONMENTAL ENGINEERING, 144(5). doi:10.1061/(ASCE)EE.1943-7870.0001360
2017
Optimisation of water treatment works performance using genetic algorithms
Swan, R., Bridgeman, J., & Sterling, M. (2017). Optimisation of water treatment works performance using genetic algorithms. JOURNAL OF HYDROINFORMATICS, 19(5), 719-733. doi:10.2166/hydro.2017.083
Positron emission particle tracking (PEPT): A novel approach to flow visualisation in lab-scale anaerobic digesters
Sindall, R. C., Dapelo, D., Leadbeater, T., & Bridgeman, J. (2017). Positron emission particle tracking (PEPT): A novel approach to flow visualisation in lab-scale anaerobic digesters. FLOW MEASUREMENT AND INSTRUMENTATION, 54, 250-264. doi:10.1016/j.flowmeasinst.2017.02.009
Towards a robust CFD model for aeration tanks for sewage treatment - a lab-scale study
Karpinska, A. M., & Bridgeman, J. (2017). Towards a robust CFD model for aeration tanks for sewage treatment - a lab-scale study. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 11(1), 371-395. doi:10.1080/19942060.2017.1307282
2016
An assessment of static and dynamic models to predict water treatment works performance
Swan, R., Bridgeman, J., & Sterling, M. (2016). An assessment of static and dynamic models to predict water treatment works performance. JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA, 65(7), 515-529. doi:10.2166/aqua.2016.005
Investigating the characteristic strength of flocs formed from crude and purified Hibiscus extracts in water treatment
Jones, A. N., & Bridgeman, J. (2016). Investigating the characteristic strength of flocs formed from crude and purified Hibiscus extracts in water treatment. WATER RESEARCH, 103, 21-29. doi:10.1016/j.watres.2016.07.019
An assessment of the use of native and denatured forms of okra seed proteins as coagulants in drinking water treatment
Jones, A. N., & Bridgeman, J. (2016). An assessment of the use of native and denatured forms of okra seed proteins as coagulants in drinking water treatment. JOURNAL OF WATER AND HEALTH, 14(5), 768-779. doi:10.2166/wh.2016.015
On-line monitoring of organic matter concentrations and character in drinking water treatment systems using fluorescence spectroscopy
Shutova, Y., Baker, A., Bridgeman, J., & Henderson, R. K. (2016). On-line monitoring of organic matter concentrations and character in drinking water treatment systems using fluorescence spectroscopy. ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY, 2(4), 749-760. doi:10.1039/c6ew00048g
Fluorescence spectroscopy for wastewater monitoring: A review
Carstea, E. M., Bridgeman, J., Baker, A., & Reynolds, D. M. (2016). Fluorescence spectroscopy for wastewater monitoring: A review. WATER RESEARCH, 95, 205-219. doi:10.1016/j.watres.2016.03.021
CFD-aided modelling of activated sludge systems - A critical review
Karpinska, A. M., & Bridgeman, J. (2016). CFD-aided modelling of activated sludge systems - A critical review. WATER RESEARCH, 88, 861-879. doi:10.1016/j.watres.2015.11.008
INSTREAM WOOD AS A DRIVER OF NUTRIENT ATTENUATION IN A LOWLAND SANDY STREAM
Klaar, M., Shelley, F., Trimmer, M., Hannah, D., Bridgeman, J., & Krause, S. (2016). INSTREAM WOOD AS A DRIVER OF NUTRIENT ATTENUATION IN A LOWLAND SANDY STREAM. In 11TH INTERNATIONAL SYMPOSIUM ON ECOHYDRAULICS. Retrieved from https://www.webofscience.com/
2015
Novel software developments for the automated post-processing of high volumes of velocity time-series
Jesson, M. A., Bridgeman, J., & Sterling, M. (2015). Novel software developments for the automated post-processing of high volumes of velocity time-series. ADVANCES IN ENGINEERING SOFTWARE, 89, 36-42. doi:10.1016/j.advengsoft.2015.06.007
Euler-Lagrange CFD modelling of unconfined gas mixing in anaerobic digestion
Dapelo, D., Alberini, F., & Bridgeman, J. (2015). Euler-Lagrange CFD modelling of unconfined gas mixing in anaerobic digestion. WATER RESEARCH, 85, 497-511. doi:10.1016/j.watres.2015.08.042
To what extent can portable fluorescence spectroscopy be used in the real-time assessment of microbial water quality?
Baker, A., Cumberland, S. A., Bradley, C., Buckley, C., & Bridgeman, J. (2015). To what extent can portable fluorescence spectroscopy be used in the real-time assessment of microbial water quality?. SCIENCE OF THE TOTAL ENVIRONMENT, 532, 14-19. doi:10.1016/j.scitotenv.2015.05.114
Portable LED fluorescence instrumentation for the rapid assessment of potable water quality
Bridgeman, J., Baker, A., Brown, D., & Boxall, J. B. (2015). Portable LED fluorescence instrumentation for the rapid assessment of potable water quality. SCIENCE OF THE TOTAL ENVIRONMENT, 524, 338-346. doi:10.1016/j.scitotenv.2015.04.050
Computational Fluid Dynamics Modelling of Unconfined Gas Mixing of Wastewater Sludge in a Full Scale Anaerobic Digester
Dapelo, D., & Bridgeman, J. (2015, September 1). Computational Fluid Dynamics Modelling of Unconfined Gas Mixing of Wastewater Sludge in a Full Scale Anaerobic Digester. In Civil-Comp Proceedings. Civil-Comp Press. doi:10.4203/ccp.108.270
Computational fluid dynamics modelling of unconfined gas mixing of wastewater sludge in a full scale anaerobic digester
Dapelo, D., & Bridgeman, J. (2015). Computational fluid dynamics modelling of unconfined gas mixing of wastewater sludge in a full scale anaerobic digester. In Civil-Comp Proceedings Vol. 108.
2014
Characterisation of dissolved organic matter fluorescence properties by PARAFAC analysis and thermal quenching
Carstea, E. M., Baker, A., Bieroza, M., Reynolds, D. M., & Bridgeman, J. (2014). Characterisation of dissolved organic matter fluorescence properties by PARAFAC analysis and thermal quenching. WATER RESEARCH, 61, 152-161. doi:10.1016/j.watres.2014.05.013
Physically and numerically modelling turbulent flow in a patchy open channel
Folorunso, O. P., Bridgeman, J., & Sterling, M. (2014). Physically and numerically modelling turbulent flow in a patchy open channel. In RIVER FLOW 2014 (pp. 383-392). Retrieved from https://www.webofscience.com/
Spectroscopic characterisation of dissolved organic matter changes in drinking water treatment: From PARAFAC analysis to online monitoring wavelengths
Shutova, Y., Baker, A., Bridgeman, J., & Henderson, R. K. (2014). Spectroscopic characterisation of dissolved organic matter changes in drinking water treatment: From PARAFAC analysis to online monitoring wavelengths. WATER RESEARCH, 54, 159-169. doi:10.1016/j.watres.2014.01.053
The potential of large woody debris to alter biogeochemical processes and ecosystem services in lowland rivers
Krause, S., Klaar, M. J., Hannah, D. M., Mant, J., Bridgeman, J., Trimmer, M., & Manning-Jones, S. (2014). The potential of large woody debris to alter biogeochemical processes and ecosystem services in lowland rivers. WILEY INTERDISCIPLINARY REVIEWS-WATER, 1(3), 263-275. doi:10.1002/wat2.1019
Carbon isotopic characterisation of dissolved organic matter during water treatment
Bridgeman, J., Gulliver, P., Roe, J., & Baker, A. (2014). Carbon isotopic characterisation of dissolved organic matter during water treatment. WATER RESEARCH, 48, 119-125. doi:10.1016/j.watres.2013.09.025
Parallelization of DEM-LBM Using Domain Decomposition
Li, J., Cui, X. L., Chan, A. H. C., & Bridgeman, J. (n.d.). Parallelization of DEM-LBM Using Domain Decomposition. Applied Mechanics and Materials, 553, 531-536. doi:10.4028/www.scientific.net/amm.553.531
Stable isotopic composition of raw and treated water
Bieroza, M., Baker, A., Bridgeman, J., & Boomer, I. (2014). Stable isotopic composition of raw and treated water. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 167(7), 414-429. doi:10.1680/wama.13.00065
The use of probabilistic weather generator information for climate change adaptation in the UK water sector
Harris, C. N. P., Quinn, A. D., & Bridgeman, J. (2014). The use of probabilistic weather generator information for climate change adaptation in the UK water sector. METEOROLOGICAL APPLICATIONS, 21(2), 129-140. doi:10.1002/met.1335
2013
Optimisation of water treatment works using static and dynamic models with an NSGAII genetic algorithm
Swan, R., Bridgeman, J., & Sterling, M. (2013). Optimisation of water treatment works using static and dynamic models with an NSGAII genetic algorithm. In Machine Learning in Water Systems - AISB Convention 2013 (pp. 20-24).
Quantification of uncertainty sources in a probabilistic climate change assessment of future water shortages
Harris, C. N. P., Quinn, A. D., & Bridgeman, J. (2013). Quantification of uncertainty sources in a probabilistic climate change assessment of future water shortages. CLIMATIC CHANGE, 121(2), 317-329. doi:10.1007/s10584-013-0871-8
Modeling Flow in an Open Channel with Heterogeneous Bed Roughness
Jesson, M., Sterling, M., & Bridgeman, J. (2013). Modeling Flow in an Open Channel with Heterogeneous Bed Roughness. JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 139(2), 195-204. doi:10.1061/(ASCE)HY.1943-7900.0000621
Untitled
Bridgeman, J. (2013). Untitled. WATER AND ENVIRONMENT JOURNAL, 27(2), 147. doi:10.1111/wej.12050
Velocity gradient as a tool to characterise the link between mixing and biogas production in anaerobic waste digesters
Sindall, R., Bridgeman, J., & Carliell-Marquet, C. (2013). Velocity gradient as a tool to characterise the link between mixing and biogas production in anaerobic waste digesters. WATER SCIENCE AND TECHNOLOGY, 67(12), 2800-2806. doi:10.2166/wst.2013.206
Despiking velocity time-series-Optimisation through the combination of spike detection and replacement methods
Jesson, M., Sterling, M., & Bridgeman, J. (2013). Despiking velocity time-series-Optimisation through the combination of spike detection and replacement methods. FLOW MEASUREMENT AND INSTRUMENTATION, 30, 45-51. doi:10.1016/j.flowmeasinst.2013.01.007
An experimental study of turbulence in a heterogeneous channel
Jesson, M., Sterling, M., & Bridgeman, J. (2013). An experimental study of turbulence in a heterogeneous channel. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 166(1), 16-26. doi:10.1680/wama.11.00025
Automating post-processing of high volumes of velocity time-series: A software approach
Jesson, M. A., Bridgeman, J., & Sterling, M. (2013). Automating post-processing of high volumes of velocity time-series: A software approach. In Civil-Comp Proceedings Vol. 102.
Determination of changes in wastewater quality through a treatment works using fluorescence spectroscopy
Bridgeman, J., Baker, A., Carliell-Marquet, C., & Carstea, E. (2013). Determination of changes in wastewater quality through a treatment works using fluorescence spectroscopy. ENVIRONMENTAL TECHNOLOGY, 34(23), 3069-3077. doi:10.1080/09593330.2013.803131
2012
Untitled
Bridgeman, J. (2012). Untitled. WATER AND ENVIRONMENT JOURNAL, 26(3), 291. doi:10.1111/j.1747-6593.2012.00334.x
Editorial
Bridgeman, J. (2012). Editorial. Proceedings of the Institution of Civil Engineers - Water Management, 165(3), 139-140. doi:10.1680/wama.2012.165.3.139
Fluorescence spectroscopy as a tool for determining microbial quality in potable water applications
Cumberland, S., Bridgeman, J., Baker, A., Sterling, M., & Ward, D. (2012). Fluorescence spectroscopy as a tool for determining microbial quality in potable water applications. ENVIRONMENTAL TECHNOLOGY, 33(6), 687-693. doi:10.1080/09593330.2011.588401
Computational fluid dynamics modelling of sewage sludge mixing in an anaerobic digester
Bridgeman, J. (2012). Computational fluid dynamics modelling of sewage sludge mixing in an anaerobic digester. ADVANCES IN ENGINEERING SOFTWARE, 44(1), 54-62. doi:10.1016/j.advengsoft.2011.05.037
Exploratory analysis of excitation–emission matrix fluorescence spectra with self-organizing maps—A tutorial
Bieroza, M., Baker, A., & Bridgeman, J. (2012). Exploratory analysis of excitation–emission matrix fluorescence spectra with self-organizing maps—A tutorial. Education for Chemical Engineers, 7(1), e22-e31. doi:10.1016/j.ece.2011.10.002
New data mining and calibration approaches to the assessment of water treatment efficiency
Bieroza, M., Baker, A., & Bridgeman, J. (2012). New data mining and calibration approaches to the assessment of water treatment efficiency. ADVANCES IN ENGINEERING SOFTWARE, 44(1), 126-135. doi:10.1016/j.advengsoft.2011.05.031
2011
The application of fluorescence spectroscopy to organic matter characterisation in drinking water treatment
Bridgeman, J., Bieroza, M., & Baker, A. (2011). The application of fluorescence spectroscopy to organic matter characterisation in drinking water treatment. REVIEWS IN ENVIRONMENTAL SCIENCE AND BIO-TECHNOLOGY, 10(3), 277-290. doi:10.1007/s11157-011-9243-x
Water industry asset management in England and Wales: successes and challenges
Bridgeman, J. (2011). Water industry asset management in England and Wales: successes and challenges. WATER AND ENVIRONMENT JOURNAL, 25(3), 318-326. doi:10.1111/j.1747-6593.2010.00224.x
Assessment of Low pH Coagulation Performance Using Fluorescence Spectroscopy
Bieroza, M., Baker, A., & Bridgeman, J. (2011). Assessment of Low pH Coagulation Performance Using Fluorescence Spectroscopy. JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 137(7), 596-601. doi:10.1061/(ASCE)EE.1943-7870.0000371
Open-channel discharge characteristics and secondary flow development over a biotope-scale heterogeneous channel bed
Jesson, M., Bridgeman, J., & Sterling, M. (2011). Open-channel discharge characteristics and secondary flow development over a biotope-scale heterogeneous channel bed. In 6th IASME/WSEAS Int. Conf. on Continuum Mechanics, CM'11, 6th IASME/WSEAS Int. Conf. on Water Resources, Hydraulics and Hydrology, WHH'11, 5th IASME/WSEAS Int. Conf. on Geology and Seismology, GES'11 (pp. 120-125).
Classification and calibration of organic matter fluorescence data with multiway analysis methods and artificial neural networks: an operational tool for improved drinking water treatment
Bieroza, M., Baker, A., & Bridgeman, J. (2011). Classification and calibration of organic matter fluorescence data with multiway analysis methods and artificial neural networks: an operational tool for improved drinking water treatment. ENVIRONMETRICS, 22(3), 256-270. doi:10.1002/env.1045
Predicting chlorine decay and THM formation in water supply systems
Brown, D., Bridgeman, J., & West, J. R. (2011). Predicting chlorine decay and THM formation in water supply systems. REVIEWS IN ENVIRONMENTAL SCIENCE AND BIO-TECHNOLOGY, 10(1), 79-99. doi:10.1007/s11157-011-9229-8
Understanding data requirements for trihalomethane formation modelling in water supply systems
Brown, D., Bridgeman, J., & West, J. R. (2011). Understanding data requirements for trihalomethane formation modelling in water supply systems. URBAN WATER JOURNAL, 8(1), 41-56. doi:10.1080/1573062X.2010.546863
ASSESSING THE EFFECT OF STERILIZATION ON THE RADIOCARBON SIGNATURE OF FRESHWATER DISSOLVED ORGANIC CARBON
Baker, A., Gulliver, P., Ascough, P., Roe, J., & Bridgeman, J. (2011). ASSESSING THE EFFECT OF STERILIZATION ON THE RADIOCARBON SIGNATURE OF FRESHWATER DISSOLVED ORGANIC CARBON. RADIOCARBON, 53(4), 659-667. doi:10.1017/S0033822200039114
2010
Fluorescence spectroscopy as a tool for determination of organic matter removal efficiency at water treatment works
Bieroza, M. Z., Bridgeman, J., & Baker, A. (2010). Fluorescence spectroscopy as a tool for determination of organic matter removal efficiency at water treatment works. In INTEGRATING WATER SYSTEMS (pp. 467-+). Retrieved from https://www.webofscience.com/
Modelling THMs in water treatment and distribution systems
Brown, D., West, J. R., Courtis, B. J., & Bridgeman, J. (2010). Modelling THMs in water treatment and distribution systems. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 163(4), 165-174. doi:10.1680/wama.2010.163.4.165
Proceedings of the ICE-Water Management
Bridgeman, J. (2010). Proceedings of the ICE-Water Management. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 163(4), 163-164. doi:10.1680/wama.2010.163.4.163
Fluorescence spectroscopy as a tool for determination of organic matter removal efficiency at water treatment works
Bieroza, M. Z., Bridgeman, J., & Baker, A. (n.d.). Fluorescence spectroscopy as a tool for determination of organic matter removal efficiency at water treatment works. Drinking Water Engineering and Science, 3(1), 63-70. doi:10.5194/dwes-3-63-2010
The development and application of CFD models for water treatment flocculators
Bridgeman, J., Jefferson, B., & Parsons, S. A. (2010). The development and application of CFD models for water treatment flocculators. ADVANCES IN ENGINEERING SOFTWARE, 41(1), 99-109. doi:10.1016/j.advengsoft.2008.12.007
2009
Chlorine demand-based predictive modeling of THM formation in water distribution networks
Courtis, B. J., West, J. R., & Bridgeman, J. (2009). Chlorine demand-based predictive modeling of THM formation in water distribution networks. URBAN WATER JOURNAL, 6(6), 407-415. doi:10.1080/15730620903038461
Computational fluid dynamics modelling of the mixing of sewage sludge in an anaerobic digester
Bridgeman, J. (2009). Computational fluid dynamics modelling of the mixing of sewage sludge in an anaerobic digester. In Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing.
Water: An International and Interdisciplinary Scientific Open Access Journal
Bridgeman, J. (2009). Water: An International and Interdisciplinary Scientific Open Access Journal. WATER, 1(1), 1-2. doi:10.3390/w1010001
Temporal and Spatial Variations in Bulk Chlorine Decay within a Water Supply System
Courtis, B. J., West, J. R., & Bridgeman, J. (2009). Temporal and Spatial Variations in Bulk Chlorine Decay within a Water Supply System. JOURNAL OF ENVIRONMENTAL ENGINEERING, 135(3), 147-152. doi:10.1061/(ASCE)0733-9372(2009)135:3(147)
Relating freshwater organic matter fluorescence to organic carbon removal efficiency in drinking water treatment
Bieroza, M., Baker, A., & Bridgeman, J. (2009). Relating freshwater organic matter fluorescence to organic carbon removal efficiency in drinking water treatment. SCIENCE OF THE TOTAL ENVIRONMENT, 407(5), 1765-1774. doi:10.1016/j.scitotenv.2008.11.013
COMPUTATIONAL FLUID DYNAMICS MODELLING OF FLOCCULATION IN WATER TREATMENT: A REVIEW
Bridgeman, J., Jefferson, B., & Parsons, S. A. (2009). COMPUTATIONAL FLUID DYNAMICS MODELLING OF FLOCCULATION IN WATER TREATMENT: A REVIEW. ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 3(2), 220-241. doi:10.1080/19942060.2009.11015267
Exploratory analysis of excitation-emission matrix fluorescence spectra with self-organizing maps as a basis for determination of organic matter removal efficiency at water treatment works
Bieroza, M., Baker, A., & Bridgeman, J. (2009). Exploratory analysis of excitation-emission matrix fluorescence spectra with self-organizing maps as a basis for determination of organic matter removal efficiency at water treatment works. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 114. doi:10.1029/2009JG000940
The rise, current position and future direction of asset management in utility industries
Brint, A., Bridgeman, J., & Black, M. (2009). The rise, current position and future direction of asset management in utility industries. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 60, S106-S113. doi:10.1057/jors.2008.174
2008
Relating organic matter character to trihalomethanes formation potential: a data mining approach
Roe, J., Baker, A., & Bridgeman, J. (2008). Relating organic matter character to trihalomethanes formation potential: a data mining approach. Water Supply, 8(6), 717-723. doi:10.2166/ws.2008.150
The rise, current position and future direction of asset management
Brint, A., Bridgeman, J., & Black, M. (2008). The rise, current position and future direction of asset management. In 50th Annual Conference of the Operational Research Society 2008, OR50 (pp. 133-147).
Assessing floc strength using CFD to improve organics removal
Bridgeman, J., Jefferson, B., & Parsons, S. (2008). Assessing floc strength using CFD to improve organics removal. CHEMICAL ENGINEERING RESEARCH & DESIGN, 86(8A), 941-950. doi:10.1016/j.cherd.2008.02.007
Water management
Bridgeman, J. (2008). Water management. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 161(4), 169-170. doi:10.1680/wama.2008.161.4.169
2007
The development and use of CFD models for water treatment processes
Bridgeman, J., Jefferson, B., & Parsons, S. A. (2007). The development and use of CFD models for water treatment processes. In Proceedings of the 11th International Conference on Civil, Structural and Environmental Engineering Computing, Civil-Comp 2007.
Water industry asset management: a proposed service-performance model for investment
Heather, A. I. J., & Bridgeman, J. (2007). Water industry asset management: a proposed service-performance model for investment. WATER AND ENVIRONMENT JOURNAL, 21(2), 127-132. doi:10.1111/j.1747-6593.2006.00057.x
2004
Public perception towards water recycling in California
Bridgeman, J. (2004). Public perception towards water recycling in California. WATER AND ENVIRONMENT JOURNAL, 18(3), 150-154. doi:10.1111/j.1747-6593.2004.tb00517.x
2002
Practical and theoretical analysis of relationships between particle count data and turbidity
Bridgeman, J., Simms, J. S., & Parsons, S. A. (2002). Practical and theoretical analysis of relationships between particle count data and turbidity. JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA, 51(5), 263-271. doi:10.2166/aqua.2002.0023
The use and application of particle-count data in water treatment
Bridgeman, J., Simms, J. S., & Parsons, S. A. (2002). The use and application of particle-count data in water treatment. JOURNAL OF THE CHARTERED INSTITUTION OF WATER AND ENVIRONMENTAL MANAGEMENT, 16(3), 164-170. Retrieved from https://www.webofscience.com/
2001
Climate change is our business
Bridgeman, J. (2001). Climate change is our business. Water and Environment Manager, 6(4), 22-23.