Sledovat
Ioannis C Trichakis
Ioannis C Trichakis
European Commission, Joint Research Centre
E-mailová adresa ověřena na: enveng.tuc.gr - Domovská stránka
Název
Citace
Citace
Rok
Artificial neural network (ANN) based modeling for karstic groundwater level simulation
IC Trichakis, IK Nikolos, GP Karatzas
Water Resources Management 25, 1143-1152, 2011
1242011
A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation
E Tapoglou, GP Karatzas, IC Trichakis, EA Varouchakis
Journal of hydrology 519, 3193-3203, 2014
1182014
Modeling the saltwater intrusion phenomenon in coastal aquifers–A case study in the industrial zone of Herakleio in Crete
MA Papadopoulou, GP Karatzas, MA Koukadaki, Y Trichakis
Global NEST J 7 (2), 197-203, 2005
73*2005
Optimal selection of artificial neural network parameters for the prediction of a karstic aquifer's response
IC Trichakis, IK Nikolos, GP Karatzas
Hydrological Processes: An International Journal 23 (20), 2956-2969, 2009
712009
Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization
E Tapoglou, IC Trichakis, Z Dokou, IK Nikolos, GP Karatzas
Hydrological Sciences Journal 59 (6), 1225-1239, 2014
632014
Comparison of bootstrap confidence intervals for an ANN model of a karstic aquifer response
I Trichakis, I Nikolos, GP Karatzas
Hydrological Processes 25 (18), 2827-2836, 2011
352011
The water-energy-food-ecosystem nexus in the Mediterranean: current issues and future challenges
A De Roo, I Trichakis, B Bisselink, E Gelati, A Pistocchi, B Gawlik
Frontiers in Climate 3, 782553, 2021
242021
Towards a pan-European integrated groundwater and surface water model: development and applications
I Trichakis, P Burek, A De Roo, A Pistocchi
Environmental Processes 4, 81-93, 2017
212017
Artificial neural networks and multiple linear regression for filling in missing daily rainfall data
I Papailiou, F Spyropoulos, I Trichakis, GP Karatzas
Water 14 (18), 2892, 2022
192022
Modeling groundwater nitrate contamination using artificial neural networks
C Stylianoudaki, I Trichakis, GP Karatzas
Water 14 (7), 1173, 2022
152022
Hydraulic head uncertainty estimations of a complex artificial intelligence model using multiple methodologies
E Tapoglou, EA Varouchakis, IC Trichakis, GP Karatzas
Journal of Hydroinformatics 22 (1), 205-218, 2020
122020
An integrated method to study and plan aquifer recharge
EA Varouchakis, E Kalaitzaki, I Trichakis, GA Corzo Perez, GP Karatzas
Hydrology Research 54 (1), 1-13, 2023
102023
A narrative-driven role-playing game for raising flood awareness
F Spyropoulos, I Trichakis, AE Vozinaki
Sustainability 14 (1), 554, 2022
92022
Flood risk assessment and flow modeling of the Stalos stream area
C Goumas, I Trichakis, AI Vozinaki, GP Karatzas
Journal of Hydroinformatics 24 (3), 677-696, 2022
62022
Remote sensing for detecting freshly manured fields
OD Pedrayes, R Usamentiaga, I Trichakis, F Bouraoui
Ecological Informatics 75, 102006, 2023
52023
Large scale hydro-economic modelling for policy support
A de Roo, P Burek, F Bouraoui, A Reynaud, A Udias, A Pistocchi, ...
EGU General Assembly Conference Abstracts, 2951, 2014
52014
Values and Preferences for Domestic Water Use: A Study from the Transboundary River Basin of Mékrou (West Africa)
V Markantonis, C Dondeynaz, D Latinopoulos, K Bithas, I Trichakis, ...
Water 10 (9), 1232, 2018
42018
Development of an integrated groundwater and surface water model in a pan-European scale
I Trichakis, P Burek, A de Roo, A Pistocchi
2nd EWaS International Conference. Chania, Greece, 2016
42016
Groundwater level forecasting using an artificial neural network trained with particle swarm optimization
E Tapoglou, IC Trichakis, Z Dokou, GP Karatzas
Proc. Geophysical Research, 2012
42012
Temporal and Spatial prediction of groundwater levels using Artificial Neural Networks, Fuzzy logic and Kriging interpolation.
E Tapoglou, GP Karatzas, IC Trichakis, EA Varouchakis
EGU General Assembly Conference Abstracts, 773, 2014
32014
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Články 1–20