SWAT Literature Database for Peer-Reviewed Journal Articles

Title:How can we represent seasonal land use dynamics in SWAT and SWAT+ models for African cultivated catchments? 
Authors:Nkwasa, A., C.J. Chawanda, A. Msigwa, H.C. Komakech, B. Verbeiren and A. van Griensven 
Year:2020 
Journal:Water 
Volume (Issue):12(6) 
Pages: 
Article ID:1541 
DOI:10.3390/w12061541 
URL (non-DOI journals): 
Model:SWAT+ & SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:crop, forest and/or vegetation growth/yield and/or parameters 
Secondary Application Category:input file structure description or concept 
Watershed Description:240 Usa River, a tributary of the 6,765 km^2 Kikuletwa River (and larger Pangani River system) located in east central Tanzania. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:In SWAT and SWAT+ models, the variations in hydrological processes are represented by Hydrological Response Units (HRUs). In the default models, agricultural land cover is represented by a single growing cycle. However, agricultural land use, especially in African cultivated catchments, typically consists of several cropping seasons, following dry and wet seasonal patterns, and are hence incorrectly represented in SWAT and SWAT+ default models. In this paper, we propose a procedure to incorporate agricultural seasonal land-use dynamics by (1) mapping land-use trajectories instead of static land-cover maps and (2) linking these trajectories to agricultural management settings. This approach was tested in SWAT and SWAT+ models of Usa catchment in Tanzania that is intensively cultivated by implementing dominant dynamic trajectories. Our results were evaluated with remote-sensing observations for Leaf Area Index (LAI), which showed that a single growing cycle did not well represent vegetation dynamics. A better agreement was obtained after implementing seasonal land-use dynamics for cultivated HRUs. It was concluded that the representation of seasonal land-use dynamics through trajectory implementation can lead to improved temporal patterns of LAI in default models. The SWAT+ model had higher flexibility in representing agricultural practices, using decision tables, and by being able to represent mixed cropping cultivations. 
Language:English 
Keywords:SWAT; SWAT+; Hydrologic Response Units; land-use dynamics; land-use trajectories