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Chris Hutton
Chris Hutton
Wessex Water
Подтвержден адрес электронной почты в домене wessexwater.co.uk
Название
Процитировано
Процитировано
Год
Dominant flood generating mechanisms across the United States
WR Berghuijs, RA Woods, CJ Hutton, M Sivapalan
Geophysical Research Letters 43 (9), 4382-4390, 2016
4242016
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
1862016
Dealing with uncertainty in water distribution system models: A framework for real-time modeling and data assimilation
CJ Hutton, Z Kapelan, L Vamvakeridou-Lyroudia, DA Savić
Journal of Water Resources Planning and Management 140 (2), 169-183, 2014
1552014
Using smart meters for household water consumption feedback: Knowns and unknowns
AL Sønderlund, JR Smith, C Hutton, Z Kapelan
Procedia Engineering 89, 990-997, 2014
1092014
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
942016
Effectiveness of smart meter-based consumption feedback in curbing household water use: Knowns and unknowns
AL Sønderlund, JR Smith, CJ Hutton, Z Kapelan, D Savic
Journal of Water Resources Planning and Management 142 (12), 04016060, 2016
892016
Virtual laboratories: new opportunities for collaborative water science
S Ceola, B Arheimer, E Baratti, G Blöschl, R Capell, A Castellarin, J Freer, ...
Hydrology and Earth System Sciences 19 (4), 2101-2117, 2015
832015
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
632015
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
552020
Real-time burst detection in water distribution systems using a Bayesian demand forecasting methodology
C Hutton, Z Kapelan
Procedia Engineering 119, 13-18, 2015
422015
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
392014
Online modelling of water distribution system using data assimilation
I Okeya, Z Kapelan, C Hutton, D Naga
Procedia Engineering 70, 1261-1270, 2014
382014
Application of formal and informal Bayesian methods for water distribution hydraulic model calibration
CJ Hutton, Z Kapelan, L Vamvakeridou-Lyroudia, D Savić
Journal of Water Resources Planning and Management 140 (11), 04014030, 2014
342014
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
312020
Real-time data assimilation in urban rainfall-runoff models
CJ Hutton, Z Kapelan, L Vamvakeridou-Lyroudia, D Savić
Procedia Engineering 70, 843-852, 2014
302014
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
302012
Assessing the value of seasonal hydrological forecasts for improving water resource management: insights from a pilot application in the UK
A Peñuela, C Hutton, F Pianosi.
Hydrology and Earth System Sciences 24, 6059-6073, 2020
282020
Short-term forecasting of household water demand in the UK using an interpretable machine learning approach
M Xenochristou, C Hutton, J Hofman, Z Kapelan
Journal of Water Resources Planning and Management 147 (4), 04021004, 2021
272021
Locating pipe bursts in a district metered area via online hydraulic modelling
I Okeya, C Hutton, Z Kapelan
Procedia engineering 119, 101-110, 2015
182015
An open-source package with interactive Jupyter Notebooks to enhance the accessibility of reservoir operations simulation and optimisation
A Peñuela, C Hutton, F Pianosi
Environmental Modelling & Software 145, 105188, 2021
172021
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Статьи 1–20