Runoff assessment using the WFLOW model with satellite-derived precipitation to support decision-making in water resource management : a case study of the Yom river basin, Thailand | |
| Author | Pongsathon Panyaprachoom |
| Call Number | AIT Thesis no.WM-25-09 |
| Subject(s) | Runoff--Mathematical models--Thailand--Yom River Basin Water resources development--Decision making--Thailand--Yom River Basin |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Water Engineering and Management |
| Publisher | Asian Institute of Technology |
| Abstract | This study developed a physically based hydrological modeling and decision-support framework for the Yom River Basin, Thailand, using the WFlow-SBM model combined with multi-source satellite precipitation products. Five rainfall datasets ERA5-Land, CHIRPS, IMERG, PERSIANN-CCS, and PERSIANN-PDIR were evaluated to quantify forcing uncertainty and improve runoff simulation. FAO-based soil parameters were incorporated to strengthen the physical realism of infiltration, soil moisture, and subsurface flow processes. Under uncalibrated conditions, FAO-adjusted parameters improved hydrological behavior compared with the default setup, enabling acceptable performance in data scarce basins. Runoff accuracy was further enhanced through an Ensemble Weighted Average (EWA) rainfall product and an optimization approach that selected the best performing rainfall source on a daily basis. These methods reduced forcing uncertainty and improved flood-peak representation, achieving performance up to NSE 0.80 and KGE 0.81. Monthly uncertainty analysis indicated that no individual rainfall product performs best year-round. Therefore, monthly KGE-based selection was applied. ENSO analog matching (2012-2024) was then used to construct 2025 seasonal scenarios, enabling monthly climate signals to be downscaled into daily runoff simulations. The resulting ENSO-based Decision Support System (DSS) produces alert and warning indicators including channel-depth exceedance, overflow-depth maps, and flood-frequency patterns to support proactive water-diversion planning and flood-risk management in the Yom River Basin. |
| Year | 2025 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Water Engineering and Management (WM) |
| Chairperson(s) | Natthachet Tangdamrongsub; |
| Examination Committee(s) | Shrestha, Sangam;Shanmugam, Mohana Sundaram;Chanoknun Wannasin; |
| Scholarship Donor(s) | Ministry of Agriculture and Cooperatives (MOAC),Thailand;AIT Scholarship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2025 |