Chris Hutton
Chris Hutton
Wessex Water
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Cited by
Cited by
Dominant flood generating mechanisms across the United States
WR Berghuijs, RA Woods, CJ Hutton, M Sivapalan
Geophysical Research Letters 43 (9), 4382-4390, 2016
Most computational hydrology is not reproducible, so is it really science?
C Hutton, T Wagener, J Freer, D Han, C Duffy, B Arheimer
Water Resources Research 52 (10), 7548-7555, 2016
Dealing with uncertainty in water distribution system models: A framework for real-time modeling and data assimilation
CJ Hutton, Z Kapelan, LS Vamvakeridou-Lyroudia, D Savic
American Society of Civil Engineers, 2014
Using smart meters for household water consumption feedback: Knowns and unknowns
AL S°nderlund, JR Smith, C Hutton, Z Kapelan
Procedia Engineering 89, 990-997, 2014
Effectiveness of smart-meter based consumption feedback in curbing household water use: Knowns and unknowns
AL Sonderlund, JR Smith, C Hutton, Z Kapelan, D Savic
American Society of Civil Engineers, 2016
Virtual laboratories: new opportunities for collaborative water science
S Ceola, B Arheimer, E Baratti, G Bl÷schl, R Capell, A Castellarin, J Freer, ...
Hydrology and Earth System Sciences 19 (4), 2101-2117, 2015
The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change?
R Nijzink, C Hutton, I Pechlivanidis, R Capell, B Arheimer, J Freer, D Han, ...
Hydrology and Earth System Sciences 20 (12), 4775-4799, 2016
A probabilistic methodology for quantifying, diagnosing and reducing model structural and predictive errors in short term water demand forecasting
CJ Hutton, Z Kapelan
Environmental Modelling & Software 66, 87-97, 2015
Application of formal and informal Bayesian methods for water distribution hydraulic model calibration
CJ Hutton, Z Kapelan, LS Vamvakeridou-Lyroudia, D Savic
American Society of Civil Engineers (ASCE), 2014
Real-time burst detection in water distribution systems using a Bayesian demand forecasting methodology
C Hutton, Z Kapelan
Procedia Engineering 119, 13-18, 2015
Online modelling of water distribution system using data assimilation
I Okeya, Z Kapelan, C Hutton, D Naga
Procedia Engineering 70, 1261-1270, 2014
Quantifying riparian zone structure from airborne LiDAR: Vegetation filtering, anisotropic interpolation, and uncertainty propagation
C Hutton, R Brazier
Journal of hydrology 442, 36-45, 2012
Online burst detection in a water distribution system using the Kalman filter and hydraulic modelling
I Okeya, Z Kapelan, C Hutton, D Naga
Procedia Engineering 89, 418-427, 2014
Real-time data assimilation in urban rainfall-runoff models
CJ Hutton, Z Kapelan, L Vamvakeridou-Lyroudia, D Savić
Procedia Engineering 70, 843-852, 2014
Water demand forecasting accuracy and influencing factors at different spatial scales using a gradient boosting machine
M Xenochristou, C Hutton, J Hofman, Z Kapelan
Water Resources Research 56 (8), e2019WR026304, 2020
Water-conservation policies in perspective: insights from a Q-method study in Salta, Argentina
MA Iribarnegaray, MFE De La Zerda, CM Hutton, C Brannstrom, VI Liberal, ...
Water Policy 16 (5), 897-916, 2014
Scaling soil erosion models in space and time
RE Brazier, CJ Hutton, AJ Parsons, J Wainwright
Handbook of erosion modelling, 98-117, 2011
Using smart demand-metering data and customer characteristics to investigate influence of weather on water consumption in the UK
M Xenochristou, Z Kapelan, C Hutton
Journal of Water Resources Planning and Management 146 (2), 04019073, 2020
Locating pipe bursts in a district metered area via online hydraulic modelling
I Okeya, C Hutton, Z Kapelan
Procedia engineering 119, 101-110, 2015
5.2. Modelling Geomorphic Systems: Numerical Modelling
CJ Hutton
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