Author(s): Watin Thanathanphon; Sathit Chantip; Apimook Mooktaree; Theerapol Charoensuk; Narongrit Luangdilok; Ticha Lolupiman; Kachapond Chettanawanit; Piyamarn Sisomphon

Linked Author(s): Narongrit Luangdilok, Watin Thanathanphon

Keywords: Decision Support System; Flood forecasting; Flood management; Thailand

Abstract: Flood is one of Thailand's major disasters. Especially in 2011, Thailand encountered with the worst flooding in half a century. Floods caused over 1.43 trillion Baht in economic losses across Thailand. Disaster preparedness and response actions are highly dependent on accurate and timely forecasting availability. Hydro - Informatics Institute (HII) and DHI Denmark have developed the decision support system for flood forecasting for Thailand since 2012, covering approximately 73% of the country's area. The system runs operationally every day and provides flood forecast information 7 days in advance. The flood forecasting system is an integrated real-time multifunctional forecasting system including data import and linkage with web API that can easily be linked any data to the system, data processing and quality control is an automated process to ensure reliable input data for models, flood forecast models (hydrological model, 1D and 2D hydrodynamic models) has been integrated seamlessly with the forecast system and applied data assimilation (DA) using observed data from water level or discharge stations to improve the accuracy of the simulation, web-based application for interactive visualization of the model results in form of graphs, time series, tables, maps and ability to compare any simulations on the cloud-based solution. The decision support system offers promising opportunities for the integration of data and models to assess flood impacts, support decision-making, increase efficiency in flood management, and mitigate flood losses. Flood management becomes more manageable and effective.

DOI: https://doi.org/10.3850/978-90-833476-1-5_iahr40wc-p0798-cd

Year: 2023