Title: Enhancing rainfall data homogenisation in Mountainous Basins, Vietnam: a case study of Da River Basin
Authors: Tran Khac Thac; Nguyen Tien Thanh; Nguyen Hoang Son; Vu Thi Minh Hue
Addresses: Thuyloi University, 175 Tay Son, Kim Lien, Hanoi, Vietnam ' Faculty of Water Resources Engineering, Thuyloi University, 175 Tay Son, Kim Lien, Hanoi, Vietnam ' Faculty of Water Resources Engineering, Thuyloi University, 175 Tay Son, Kim Lien, Hanoi, Vietnam ' Faculty of Water Resources Engineering, Thuyloi University, 175 Tay Son, Kim Lien, Hanoi, Vietnam
Abstract: Reliable rainfall data are essential for hydrological studies in mountainous basins with sparse monitoring networks such as the Da River Basin (DRB). This study evaluates the homogeneity and consistency of long-term rainfall records from 16 stations over the period 1981-2022. Double mass curves and six statistical homogeneity tests were applied at a 95% confidence level, followed by data adjustment using quantile mapping. Results show that 25% of stations exhibit significant inhomogeneity. The adjustment effectively improves data consistency, providing a reliable rainfall dataset for hydrological and climate-related applications in the DRB.
Keywords: homogeneity testing; Da River Basin; DRB; quantile mapping; Vietnam.
International Journal of Global Warming, 2026 Vol.39 No.3, pp.219 - 238
Received: 31 Jul 2025
Accepted: 04 Jan 2026
Published online: 27 Jul 2026 *