Climate change impact on streamflow in a tropical basin of Ghana, West Africa

Awotwi, Alfred; Annor, Thompson; Anornu, Geophrey K.; Quaye‐Ballard, Jonathan Arthur; Agyekum, Jacob; Ampadu, Boateng; Nti, Isaac Kofi; Gyampo, Maxwell Anim; Boakye, Ebenezer

doi:10.1016/j.ejrh.2021.100805

Cited by 17 publications

(12 citation statements)

References 47 publications

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“…However, this is still lacking in Ghana, especially Greater Accra. Existing literature has assessed future CC in terms of temperature and precipitation in West Africa using multiple climate models such as regional and global climate models (Awotwi et al, 2021;Okafor et al, 2019Okafor et al, , 2021Siabi et al, 2021;Yeboah et al, 2022). The new generation of global climate models (GCMs) developed for the CMIP6 are released by the IPCC (AR6) and are now available (Wang et al, 2018).…”

Section: The Coupled Model Intercomparison Project Phase 6 (Cmip 6)mentioning

confidence: 99%

Assessment of Shared Socioeconomic Pathway (Ssp) Climate Scenarios and its Impacts on the Greater Accra Region

Siabi

Awafo²,

Kabo-bah

et al. 2022

SSRN Journal

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Section: The Coupled Model Intercomparison Project Phase 6 (Cmip 6)mentioning

confidence: 99%

Assessment of Shared Socioeconomic Pathway (Ssp) Climate Scenarios and its Impacts on the Greater Accra Region

Siabi

Awafo²,

Kabo-bah

et al. 2022

SSRN Journal

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“…Global sensitivity analysis shows that Initial SCS CN II value (CN2), soil evaporation compensation factor (ESCO), Manning's n for main channel (CH_N2), maximum canopy storage (CANMX) and groundwater "revap" coefficient (GW_REVAP) are the five most sensitive parameters in the JRB. CN2 that linked to surface runoff has been regarded as the most sensitive parameter in SWAT modeling in many tropical river basins [16,53,54]. A detailed description of each parameter can be found in the SWAT theoretical document written by Neitsch, et al [55].…”

Section: Swat Sensitivity Analysis Calibration and Validationmentioning

confidence: 99%

“…Tropical rivers, especially for those over Southeast Asia, are generally characterized by pronounced streamflow seasonality, with some having two flood peaks observed within a year due to the influence of monsoon-induced rainfall and equatorial convective rainfall [14]. Jahandideh-Tehrani, et al [15] revealed that climate change has a significant impact on tropical streamflow, hence, the responses of tropical streamflow to climate change have been extensively investigated in tropical basins [16][17][18]. As previously noted, GCMs are a major tool to provide precipitation and temperature information to facilitate assessment of potential future tropical streamflow changes.…”

Section: Introductionmentioning

confidence: 99%

Resolution Dependence of Regional Hydro-Climatic Projection: A Case-Study for the Johor River Basin, Malaysia

Tan

Liang

Hawcroft

et al. 2021

Water

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High resolution models from the High-Resolution Model Intercomparison Project (HighResMIP), part of CMIP6, have the capacity to allow a better representation of the climate system in tropical regions, but how different model resolutions affect hydrological outputs remains unclear. This research aims to evaluate projections of hydro-climatic change of the Johor River Basin (JRB) in southern Peninsular Malaysia between 1985 to 2015 and 2021 to 2050, focusing on uncertainty quantification of hydrological outputs from low (>1°), medium (0.5° to 1°) and high (≤0.5°) horizontal resolution models. These projections show future increases in annual precipitation of 0.4 to 3.1%, minimum and maximum temperature increases of 0.8 to 0.9 °C and 0.9 to 1.1 °C, respectively. These projected climate changes lead to increases in annual mean streamflow of 0.9% to 7.0% and surface runoff of 7.0% to 20.6% in the JRB. These annual mean changes are consistent with those during the wet period (November to December), e.g., streamflow increases of 4.9% to 10.8% and surface runoff of 28.8 to 39.9% in December. Disagreement in the direction of change is found during the dry seasons, (February to March and May to September), where high resolution models project a decrease in future monthly precipitation and streamflow, whilst increases are projected by the medium- and low-resolution models.

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“…According to several studies, hydrological systems are extremely susceptible to climatic changes (IPCC 2007;Bates et al 2008;Zereini & Hötzl 2008;Toulmin 2009;Niang et al 2014). Changes in temperature and precipitation affect catchment ecosystems, which in turn affect water availability and increase the frequency of hydrological extremes such as drought and floods (Rotich & Mulungu 2017;Shagega et al 2019;Awotwi et al 2021;Gurara et al 2021).…”

Section: Graphical Abstract Introductionmentioning

confidence: 99%

Assessing the potential impacts of climate change on streamflow in the data-scarce Upper Ruvu River watershed, Tanzania

Tibangayuka

Mulungu

Izdori

2022

Journal of Water and Climate Change

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This study assessed the impacts of climate change on streamflow in the data-scarce Upper Ruvu River watershed (URRW). The Long Ashton Research Station Weather Generator (LARS-WG) was employed for generating the future ensemble-mean climate scenario based on six global circulation models (GCMs), under two representative concentration pathways (RCPs: RCP4.5 and RCP8.5). The future projections were made in two periods (2041–2060 and 2081–2100), and the baseline period (1951–1978) was used as a reference. The watershed hydrology was represented by the Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS) model, which was calibrated and validated by using 5 and 4 years of streamflow data, respectively. Results indicate that the rainfall and minimum and maximum temperatures will increase in both periods, under both scenarios. This will potentially affect the streamflow that is projected to increase from March to August and decrease from September to February. The mean annual streamflow could potentially change from 48 m3/s in the baseline period to 45.6 and 56.5 m3/s during 2041–2060, and 52.4 and 67.4 m3/s during 2081–2100, under RCP4.5 and RCP8.5, respectively. The minimum and maximum streamflows are also predicted to change in both periods, under both scenarios. Considering these results, the climate change will have significant impacts on the streamflows of the URRW.

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Climate change impact on streamflow in a tropical basin of Ghana, West Africa

Cited by 17 publications

References 47 publications

Assessment of Shared Socioeconomic Pathway (Ssp) Climate Scenarios and its Impacts on the Greater Accra Region

Assessment of Shared Socioeconomic Pathway (Ssp) Climate Scenarios and its Impacts on the Greater Accra Region

Resolution Dependence of Regional Hydro-Climatic Projection: A Case-Study for the Johor River Basin, Malaysia

Assessing the potential impacts of climate change on streamflow in the data-scarce Upper Ruvu River watershed, Tanzania

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