Streamflow Simulation in the Cau River Basin, Northeast Vietnam, Using SWAT-Based Hydrological Modelling

Ngoc Anh Nguyen, Chu Van Trung, Lan Huong Nguyen, Anh Tuan Ha and Trung H. Nguyen ()
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Ngoc Anh Nguyen: Faculty of Resource Management, University of Agriculture and Forestry—Thai Nguyen University, Thai Nguyen 250000, Vietnam
Chu Van Trung: Faculty of Resource Management, University of Agriculture and Forestry—Thai Nguyen University, Thai Nguyen 250000, Vietnam
Lan Huong Nguyen: Faculty of Basic Science, University of Agriculture and Forestry—Thai Nguyen University, Thai Nguyen 250000, Vietnam
Anh Tuan Ha: Faculty of Resource Management, University of Agriculture and Forestry—Thai Nguyen University, Thai Nguyen 250000, Vietnam
Trung H. Nguyen: Faculty of Resource Management, University of Agriculture and Forestry—Thai Nguyen University, Thai Nguyen 250000, Vietnam

Geographies, 2025, vol. 5, issue 3, 1-19

Abstract: The Cau River Basin in northeastern Vietnam is an ecologically and economically important watershed, yet it has lacked comprehensive hydrological modelling to date. Characterised by highly complex topography, diverse land use/land cover, and limited hydrometeorological data, the basin presents challenges for water resource assessment and management. This study applies the SWAT hydrological model to simulate streamflow dynamics in the Cau River Basin over a 31-year period (1990–2020) using multiple-source geospatial data, including a 30 m digital elevation model, official soil and land use maps, and daily climate records from six meteorological stations. Model calibration (1997–2008) and validation (2009–2020) were conducted using the SWAT-CUP tool, achieving strong performance with a Nash–Sutcliffe Efficiency ( NSE ) of 0.95 and 0.90, and R 2 of 0.95 and 0.91, respectively. Sensitivity analysis identified four key parameters most influential on streamflow (curve number, saturated hydraulic conductivity, soil evaporation compensation factor, and available water capacity), supporting a more focused and effective calibration process. Model results revealed substantial spatio-temporal variability in runoff, with annual surface runoff ranging from 19.8 mm (2011) to 56.4 mm (2013), generally lower in upstream sub-watersheds (<30 mm) and higher in downstream areas (>60 mm). The simulations also showed a clear seasonal contrast between the wet and dry periods. These findings support evidence-based strategies for flood and drought mitigation, inform agricultural and land use planning, and offer a transferable modelling framework for similarly complex watersheds.

Keywords: hydrological modelling; SWAT; streamflow; surface runoff; Cau River Basin (search for similar items in EconPapers)
JEL-codes: Q1 Q15 Q5 Q53 Q54 Q56 Q57 (search for similar items in EconPapers)
Date: 2025
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