Leonardo Alfonso
Leonardo Alfonso
IHE-Delft Institute for Water Education
Verified email at un-ihe.org - Homepage
TitleCited byYear
Optimization of water level monitoring network in polder systems using information theory
L Alfonso, A Lobbrecht, R Price
Water Resources Research 46 (12), 2010
772010
Information theory–based approach for location of monitoring water level gauges in polders
L Alfonso, A Lobbrecht, R Price
Water Resources Research 46 (3), 2010
772010
Multiobjective optimization of operational responses for contaminant flushing in water distribution networks
L Alfonso, A Jonoski, D Solomatine
Journal of Water Resources Planning and Management 136 (1), 48-58, 2010
672010
Information theory applied to evaluate the discharge monitoring network of the Magdalena River
L Alfonso, H Liyan, A Lobbrecht, R Price
Journal of Hydroinformatics 15 (1), 211–228, 2013
502013
Mobile phone applications in the water domain
A Jonoski, L Alfonso, A Adrian, I Popescu, S van Andel, Z Vojinovic
Environmental Engineering and Management Journal 11 (5, 2012), 919-930, 2012
442012
Rainfall and streamflow sensor network design: a review of applications, classification, and a proposed framework
JC Chacon-Hurtado, L Alfonso, DP Solomatine
Hydrology and Earth System Sciences 21 (6), 3071, 2017
422017
Probabilistic flood maps to support decision‐making: Mapping the value of information
L Alfonso, MM Mukolwe, G Di Baldassarre
Water Resources Research 52 (2), 1026-1043, 2016
412016
Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?
M Mazzoleni, M Verlaan, L Alfonso, M Monego, D Norbiato, M Ferri, ...
Hydrology and Earth System Sciences 21 (2), 839-861, 2017
332017
Assimilating uncertain, dynamic and intermittent streamflow observations in hydrological models
M Mazzoleni, L Alfonso, J Chacon-Hurtado, D Solomatine
Advances in Water Resources 83, 323-339, 2015
322015
Ensemble entropy for monitoring network design
L Alfonso, E Ridolfi, S Gaytan-Aguilar, F Napolitano, F Russo
Entropy 16 (3), 1365-1375, 2014
322014
An entropy approach for the optimization of cross-section spacing for river modelling
E Ridolfi, L Alfonso, G Di Baldassarre, F Dottori, F Russo, F Napolitano
Hydrological Sciences Journal 59 (1), 126-137, 2014
302014
Coupling hydrodynamic models and value of information for designing stage monitoring networks
L Alfonso, R Price
Water Resources Research 48 (8), W08530, 2012
262012
Evaluation of different formulations to optimally locate sensors in sewer systems
BK Banik, L Alfonso, C Di Cristo, A Leopardi, A Mynett
Journal of Water Resources Planning and Management 143 (7), 04017026, 2017
192017
Optimisation of Monitoring Networks for Water Systems: Information Theory, Value of Information and Public Participation
L Alfonso
UNESCO-IHE, TU-Delft, CRC Press, 2010
19*2010
A new methodology to define homogeneous regions through an entropy based clustering method
E Ridolfi, M Rianna, G Trani, L Alfonso, G Di Baldassarre, F Napolitano, ...
Advances in Water Resources 96, 237-250, 2016
182016
Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment …
M Mazzoleni, V Juliette Cortes Arevalo, U Wehn, L Alfonso, D Norbiato, ...
Hydrology and earth system sciences 22 (1), 391-416, 2018
162018
Use of hydroinformatics technology for real time water quality management and operation of distribution networks. Case study of Villavicencio, Colombia
L Alfonso
MSc Thesis, UNESCO-IHE, Delft, NL, 2006
15*2006
Can assimilation of crowdsourced streamflow observations in hydrological modelling improve flood prediction?
M Mazzoleni, M Verlaan, L Alfonso, M Monego, D Norbiato, M Ferri, ...
Hydrology & Earth System Sciences Discussions 12 (11), 2015
132015
Optimal placement of water quality monitoring stations in sewer systems: An information theory approach
BK Banik, L Alfonso, AS Torres, A Mynett, C Di Cristo, A Leopardi
Procedia Engineering 119, 1308-1317, 2015
132015
Influence of spatial distribution of sensors and observation accuracy on the assimilation of distributed streamflow data in hydrological modelling
M Mazzoleni, L Alfonso, D Solomatine
Hydrological sciences journal 62 (3), 389-407, 2017
122017
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