Application of SWAT hydrological model for assessing water availability at the Sherigu catchment of Ghana and Southern Burkina Faso

Guug, Samuel; Abdul-Ganiyu, Shaibu; Kasei, Raymond Abudu

doi:10.1016/j.hydres.2020.10.002

Cited by 38 publications

(18 citation statements)

References 24 publications

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“…Evapotranspiration across different hydrological catchments in savanna regions of central West Africa ranges between 60% and 74% of the annual rainfall; runoff between 6% and 13%; and infiltration between 18% and 37%, with less runoff in the catchments and more area covered by uncultivated savanna. Higher infiltration values correspond to basins with a higher proportion of natural vegetation cover [97][98][99][100]. Drainage, which constitutes only a fraction of the infiltrated water, ranges between 30 and 45% (excluding rice) in our simulations.…”

Section: Water Cycles and Water Use Efficiencymentioning

confidence: 86%

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

Martínez

Fürst

2021

Land

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West African land use systems have been experiencing one of the fastest transformations in the world over recent decades. The Sudanian savanna is an interesting example, as it hosts the cultivation of some crops typical of the Guinean savanna as well as some of the Sahel. Therefore, this region is likely to experience further changes in its crop portfolio over the next decades due to crop migration processes responding to environmental change. Simulation approaches can guide the development of agricultural production strategies that contribute to sustainably optimize both food and fuel production. This study used crop models already available in the APSIM platform to simulate plant production and the soil water and nutrient cycles of plots cultivated with groundnut, millet, sorghum, maize, and rice on three (two upland and one lowland) soil fertility classes and subjected to five levels of management (conventional tillage without residue incorporated to the soil and nor fertilizer application; conventional tillage without residue incorporated to the soil and 5 kg N ha−1; conventional tillage with residue incorporated to the soil 20 kg N ha−1, and no-till herbicide treated with 50 and 100 kg N ha−1). Simulation outputs were contrasted against data reported in the literature and converted into nutritional, fuel and feed yields based on the qualities and uses of their different plant comparments. Groundnut yields outperformed all of the cereals across most growing conditions, nutritional and feed indicators. Maize and rice provided the highest caloric yields, with the least fertile growing conditions. Sorghum provided average to high caloric and iron yields across all of the treatments. Millet provided the highest iron yields and high fuel yields across most treatments. Some simulated treatments could not be compared against literature review data because of their absence in actual cropping systems and the lack of experimental data. Plant production was simulated with higher accuracy than the other components of the simulation. In particular, there is a need to better parameterize and validate the rice, groundnut and millet models under Sudanian savanna conditions in order to perform more accurate comparative assessments among species.

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Section: Water Cycles and Water Use Efficiencymentioning

confidence: 86%

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

Martínez

Fürst

2021

Land

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“…SWAT is one of the most used hydrological models applied to investigate a wide range of hydrological problems (e.g., agricultural water use, water quality and climate change impact on water resources) due to its comprehensive simulation capabilities at different watershed scales and in data scarce conditions (Arnold et al, 2012; Gassman et al, 2007; Gayathri et al, 2015; Glavan & Pintar, 2012; Guug et al, 2020; Rehbeh et al, 2011). It has also been used in drought assessment around the globe (Dash et al, 2019; Liang et al, 2021; Nyeko, 2015).…”

Section: Methodsmentioning

confidence: 99%

Multivariate drought analysis for the temperature homogeneous regions of India: Lessons from the Gomati River basin

Bhatt

Mall

Raju

et al. 2022

Meteorological Applications

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Droughts inflict significant loss on agricultural economies. Gomati River basin, the area of the present study, is located within the Ganga River floodplains, which approximately coincide with the north central temperature homogeneous region (NCTHR) of India. Gomati basin is a non-perennial one supporting water intensive agricultural crops. To ascertain the occurrence of droughts (if any) from 1986 to 2015 within Gomati River basin, in terms of inter-dependencies of drought causing variables through study of multivariate drought indices, is the main objective of the present study. Soil Water Assessment Tool (SWAT) was used in combination with the Copula approach to construct multivariate standardized drought indices (MSDIs) for drought onset detection through simulation in the face of data scarcity. Although MSDI based assessment of the basin as a whole did not detect any droughts, in the upper basin, MSDIs indicated the possibilities of impending agricultural droughts marked by their consistent variability around near-normal conditions. This methodology can be used to detect drought situations in data scarce non-perennial river basins within the Ganga River floodplains including the NCTHR of India.

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“…The quantity of streamflow is influenced by climate variables including precipitation, as well as soil erosion. It is necessary to simulate the hydrological cycle of the catchment in order to suggest appropriate management methods to improve the water yield of the catchment (16) .…”

Section: Description Of Swat Modelmentioning

confidence: 99%

Assessment of Impact of Climate Change in the Western Ghats Region, India

Veerabhadrannavar¹,

Venkatesh²

2022

IJST

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Objectives:The current research assessed the patterns of precipitation and discharge in the Sagar and Kokkarne catchments in the Western Ghats of Karnataka. Methods: Soil and Water Assessment Tool (SWAT) model was used to find the discharge at the outlets of the catchments. The yearly precipitation and discharge patterns of both the catchments were studied using data from observed data (1991 to 2020) and the projected data (2021-2050). Considering the IMD data (1991-2020) as the reference data, the percentage change in precipitation and discharge were calculated. Findings: For the Sagar catchment, the maximum percentage change in precipitation and discharge were projected to be 24.79 % and 53.71 %, and the minimum percentage change in precipitation and discharge were projected to be -20.29 % and -41.65 %. For the Kokkarne catchment, the maximum percentage change in precipitation and discharge were projected to be 31.30 % and 42.92 %, and the minimum percentage change in precipitation and discharge were projected to be -18.22 % and -16.98 %. In both the catchments, the increase or decrease in precipitation has led to corresponding changes in the discharge of the catchment. Novelty: This present work tries to project and compare the precipitation and discharge patterns in two catchments belonging to two varied river flow regimes in the Western Ghats of Karnataka to establish how the changing climate is affecting the hydrology of the catchments. As the precipitation varies in intensity throughout time and space and Indian agriculture relies heavily on precipitation, the present study can help in formulating water resource management techniques.

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Application of SWAT hydrological model for assessing water availability at the Sherigu catchment of Ghana and Southern Burkina Faso

Cited by 38 publications

References 24 publications

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

Multivariate drought analysis for the temperature homogeneous regions of India: Lessons from the Gomati River basin

Assessment of Impact of Climate Change in the Western Ghats Region, India

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