Titre
de la thèse : Remote
Sensing Technology, Hydrology and Water
Resource with numerical modelling and Artificial Intelligence
Directeur
de thèse : Philippe
Gourbesville
Financement
: Bourse Tropical
Marine Science Institute, National
University of Singapore
Domaine d'activité :
Hydrology,
Hydraulic, Hydroinformatics, Numerical Modeling for Flood Analysis,
Water
Resources Management, GIS & Remote Sensing
Publications :
Revues
internationales :
Y.
Sun, D. Wendi, D.E.
Kim & S.-Y. Liong, “Development
and
Application of an Integrated Hydrological Model for Singapore
Freshwater Swamp
Forest”,
Procedia Engineering,
Vol. 154, pp. 1002-1009, 2016.
Y.
Sun, D. Wendi, D.E.
Kim & S.-Y. Liong, “Technical
Note:
Application of Artificial Neural Networks in Groundwater Table
Forecasting - A
Case Study in Singapore
Swamp Forest”,
Hydrology and Earth System Sciences,
Vol. 20, pp. 1-8, 2016.
Ouvrages ou Chapitres de livre :
D.E.
Kim, Y.
Sun, D. Wendi, Z. Jiang, S.-Y. Liong & P.
Gourbesville, “Flood
modelling framework for Kuching
City, Malaysia:
Overcoming the lack of data”,
Advances in Hydroinformatics,
Springer, pp. 559-568, 2018.
Conférences
internationales :
D.E.
Kim,
P. Gourbesville & S.Y. Liong, “Cost-effective flood hazard
assessment with
remote sensing technology and artificial intelligence”,
Smart Water Grid International Conference, Incheon, South Korea,
November
2017.
D.E. Kim,
P. Gourbesville & S.Y. Liong, “Flood Risk
Assessment for Surabaya, Indonesia: Remote Sensing Technology
and
Artificial Intelligence”, Asia Oceania
Geosciences Society, Singapore, 2017, Best Poster Award.
D.E. Kim,
P. Gourbesville & S.Y. Liong, “Novel
Flood Forecasting
With 3d Visualization For Rescue Team: Remote Sensing Technology And
Artificial
Intelligence”, Asia Oceania
Geosciences Society, Beijing, China, 2016.
Communications
invitées :
S.Y.
Liong & D.E. Kim, “Most Cost-Effective
DEM and
Rainfall Design Curves for Assessing Flood Hazard of Present and Future
Climates”, IAHR-APD
Congress, Yogjakarta, Indonesia,
Keynote, 2018.
