Modelling of streamflow before and after dam construction in the Mono River Basin in Togo-Benin, West Africa

Koubodana, Houteta Djan’na; Adounkpè, Julien; Atchonouglo, Kossi; Djaman, Koffi; Larbi, Isaac; Lombo, Yao; Kpemoua, Kossi

doi:10.1080/15715124.2021.1969943

Cited by 5 publications

(4 citation statements)

References 54 publications

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“…where E 0 is PET (mm/day), H 0 is extra-terrestrial radiation (MJ/m 2 /day), T max is the maximum air temperature for a given day ( • C), T min is the minimum air temperature of the day ( • C), and T mean is the mean air temperature of the day ( • C). This PET computation method was used due to data limitation in the study area, as reported in previous works [23,24,29]. In addition, it was reported that the well-known FAO (Penman-Monteith) method showed PET underestimation in the Mono basin, as opposite to temperature-based approaches [30].…”

Section: Data 221 Hydro-climatic Datamentioning

confidence: 99%

“…The mean discharge values during calibration and validation are 106.40 m 3 /s and 111.38 m 3 /s respectively, while the standard variations are 177.15 m 3 /s and 170.40 m 3 /s. Thirteen (13) calibration parameters were selected, based on previous studies in Benin and Togo [29,40,48], and in the West African region [31,49,50]. The Global Sensitivity program embedded in SWAT was used to assess the sensitivity of the parameters after a 1000-run simulation.…”

Section: River Runoff Simulationmentioning

confidence: 99%

“…In addition, the bias level declined during the validation period. The fact that the calibration and validation periods were not selected as continuous periods (e.g., 1967-1976 and 1977-1986), but were rather based on a balanced combination of hydrologic conditions (dam and no-dam years, high-and low-peak years), has led to better results, compared to a previous study conducted with SWAT in the Mono catchment [29]. In the study by Koubodana et al, 2021 [29], known to date as the only published work with SWAT in the Mono catchment, the authors created two distinct models: one for the period before the Nangbéto dam construction , and another one for the period after the dam .…”

Section: Model Calibration and Validationmentioning

confidence: 99%

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Climate and Land-Use Change Impacts on Flood Hazards in the Mono River Catchment of Benin and Togo

et al. 2023

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Flooding is prominent in West Africa, and is expected to be exacerbated, due to global climate and land-use changes. This study assessed the impacts of future climate and land-use changes on flood hazards in the Mono river catchment area of Benin and Togo. Climate scenarios from the representative concentration pathways, RCP 4.5 and RCP 8.5, and land-use projection at the horizon of 2070 were used for runoff simulation at the Athiémé outlet, and flood mapping in the lower Mono river basin. The planned Adjarala dam was also simulated, to evaluate its potential impact. The Soil and Water Assessment Tool (SWAT) was used to investigate the impact of the projected changes on runoff, while the flood-water extent was simulated using the two-dimensional TELEMAC-2D model. TELEMAC-2D was validated with satellite observation and in a participatory way with local stakeholders. SWAT showed good performance during the calibration (KGE = 0.83) and validation (KGE = 0.68) steps. Results show an increase in the magnitude of flood extremes under future climate- and land-use-change scenarios. Events of 10-year return periods during 1987–2010 are expected to become 2-year return-period events under the climate- and land-use-change scenarios considered. The planned Adjarala dam showed potentials for extreme-peak and flood-extent reduction. However, flow-duration curves revealed that the discharge of the river during low-flow periods may also be reduced if the Adjarala dam is built. Adaptation measures as well as sustainable land-use and dam-management options should be identified, to alleviate the impacts of the projected changes.

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Section: Data 221 Hydro-climatic Datamentioning

confidence: 99%

Section: River Runoff Simulationmentioning

confidence: 99%

Section: Model Calibration and Validationmentioning

confidence: 99%

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Climate and Land-Use Change Impacts on Flood Hazards in the Mono River Catchment of Benin and Togo

et al. 2023

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“…In 2019, flood events in the Mono River catchment of Benin and Togo affected about 50,000 people in the two riparian countries, causing damages to roads, health centers, and other public infrastructures in the Lacs prefecture in Togo and in the districts of Athiémé, Grand-Popo, and Lokossa in Benin [12]. This increase in flood hazards in the Mono River basin may be attributed to the changes in climate and land use/cover, as well as population growth [13,14]. Using the impact chain methodology to understand drivers of flood risks in the lower Mono River catchment, Wetzel et al [15] found out that the drivers attributed to land-use change and population growth are "the destruction of ecosystem and soil degradation" and "use of land for agriculture".…”

Section: Introductionmentioning

confidence: 99%

Modelling Land Use and Land Cover in the Transboundary Mono River Catchment of Togo and Benin Using Markov Chain and Stakeholder’s Perspectives

et al. 2022

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Integrating both modeling approach and stakeholders’ perspectives to derive past and future trends of land use land cover (LULC) is a key to creating more realistic results on LULC change trajectories and can lead to the implementation of appropriate management measures. This article assessed the past changes of LULC in the Mono River catchment using Landsat images from the years 1986, 2000, 2010, and 2020 by performing Machine Learning Classification Method Random Forest (RF) technique, and using Markov Chain method and stakeholder’s perspective to simulate future LULC changes for the years 2030 and 2050. LULC was classified as savanna, cropland, forest, water bodies, and settlement. The results showed that croplands and forests areas declined from 2020 to 2050 with decreases of −7.8% and −1.9%, respectively, a modest increase in settlement (1.3%), and savanna was the dominant LULC in the study region with an increase of 8.5%. From stakeholders’ perspective, rapid population growth, deforestation, rainfall variability/flood, urbanization, and agricultural expansion were the most important drivers associated with the observed LULC changes in the area. Other factors, such as lack of political commitment, distance to river, and elevation were also mentioned. Additionally, most the land-use scenarios identified by stakeholders would intensify land degradation and reduce ecosystem services in the area. By considering all of these potential LULC changes, decision-makers need to develop and implement appropriate solutions (e.g., land use planning strategies, reforestation campaigns, forest protection measures) in order to limit the negative effects of future LULC changes.

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Attributing climate variability, land use change, and other human activities to the variations of the runoff-sediment processes in the Upper Huaihe River Basin, China

Wei,

Dong,

et al. 2024

Journal of Hydrology: Regional Studies

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Modelling of streamflow before and after dam construction in the Mono River Basin in Togo-Benin, West Africa

Cited by 5 publications

References 54 publications

Climate and Land-Use Change Impacts on Flood Hazards in the Mono River Catchment of Benin and Togo

Climate and Land-Use Change Impacts on Flood Hazards in the Mono River Catchment of Benin and Togo

Modelling Land Use and Land Cover in the Transboundary Mono River Catchment of Togo and Benin Using Markov Chain and Stakeholder’s Perspectives

Attributing climate variability, land use change, and other human activities to the variations of the runoff-sediment processes in the Upper Huaihe River Basin, China

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