WGH held the Technical Workshop on Hydrological Data Quality Control and Flood Forecasting with AI Technique
Participants from 4 TC Members, namely Lao P.D.R, Malaysia, Philippines, and Thailand, were invited to attend this workshop. In addition, Dr. Jinping Liu from TCS was also invited to attend the technical workshop as an observer. The workshop was co-chaired by WGH vice-Chairperson Dr. Hyo Seob Cho, Director General of Geum River Flood Control Office, and Dr. Vinliam Bounlom, Deputy Director General of DMH.
The participating Members countries presented the existing systems of hydrological data quality control and flood forecasting that are being implemented in their countries in present. As for ROK side, Ms. Cho Rong KIM gave a brief introduction on AOP 2 and AOP 3 led by ROK. Dr. Chung Soo KIM, the team leader of AOP 2&3, presented the theory and preliminary results for application of AI algorithm in hydrological data quality control. Dr Kah Hoong KOK demonstrated the steps for using the Hydrological Data Quality Control System (HDQCS) based on AI algorithm to detect the anomalies in hydrological data. Finally, Mr. Jeong Min Lee talked on the flood forecasting using AI deep learning algorithm.
The participants expressed great enthusiasm on the Hydrological Data Quality Control System (HDQCS), which is the output of AOP 2. They believed that the anomaly detection using unsupervised learning Isolation Forest and supervised learning XGBoost AI algorithms featured in this system would definitely do them a great flavor in managing and quality controlling the hydrological data in their countries. Apart from that, they were also looking forwards to test the output of AOP 3, which is the flood forecasting system using AI deep learning algorithm, in which the system is expected to be available by next year.
The participants also gave their feedback actively on further improving the HDQCS to cater the needs according to their countries. For example, the participants from Lao P.D.R wished that the HDQCS shall include the discharge/streamflow as one of the target hydrological data in the system. The participants took a chance to visit the smart staff gauge established along the Mekong River, which was funded by KICT aiming to further improve the hydrological data management and flood forecasting along the Mekong River in Lao P.D.R.