Your search found 8 records
1 Mapedza, Everisto; Ofosu, E. A.; van Koppen, Barbara; van der Zaag, P.; Namara, Regassa E.; Barry, Boubacar. 2010. Gendered access to shallow wells and riverine alluvial dugouts in the upper east region of Ghana. [Abstract only]. In Abstracts of the “Toward Sustainable Groundwater in Agriculture - An International Conference Linking Science and Policy,” Hyatt Regency San Francisco Airport, Burlingame, California , USA, 15-17 June 2010. Davis, CA, USA: University of California; Sacramento, CA, USA: Water Education Foundation. pp.96.
Groundwater irrigation ; Wells ; Gender ; Women ; Rural poverty / Ghana / Africa South of Sahara / Volta Basin
(Location: IWMI HQ Call no: e-copy only Record No: H043199)
(3.75 MB)
The limit of rain fed agriculture is one of the major causes for poor agricultural performance in Sub-Saharan Africa, due to the prevailing climatic conditions. If these challenges are further juxtaposed with the climate change projections, irrigation then becomes a key solution to such agricultural challenges of changing rainfall amounts and seasonal rainfall variability in the Upper East region of Ghana. The extreme variability in rainfall, long dry seasons and recurrent droughts, floods and dry spells pose key challenges to food production and has resulted in hunger and poverty in the Upper East Region of Ghana. The practice of irrigated agriculture remains a key solution to hunger and poverty reduction in this area. As a result the area has seen a significant upscaling of irrigation using shallow groundwater and surface water with appropriate technologies within the past 15 years. This study used a gendered approach to assess how poverty alleviation through the use of shallow wells and riverine dugouts have differential access for men and women. Whilst it is often argued that water based interventions to reduce poverty need to be gender sensitive this research looked at whether the underground water irrigation technologies are accessible to both men and women. This paper is part of a hydraulic rights creation project in the broader Volta Basin. This study looked at how both men and women appropriate water resources for their benefit. This study concludes that shallow ground water technologies have to be grounded within the gendered production systems and tenurial arrangements which largely determine whether one benefits from water extraction technologies or not. In rural Africa where the majority of the poor households are de facto or de jure female headed, this paper proposes mechanisms for empowering women to benefit from ground water based irrigation.
2 Ofosu, E. A.; Mul, Marloes; Boateng-Gyimah, M.; Annor, F.; Ampomah, B. Y. 2017. Overview of the re-operation and re-optimisation of the Akosombo and Kpong Dams Project. In Ntiamoa-Baidu, Y.; Ampomah, B. Y.; Ofosu, E. A. (Eds.). Dams, development and downstream communities: implications for re-optimising the operations of the Akosombo and Kpong Dams in Ghana. Tema, Ghana: Digibooks Ghana Ltd. pp.3-25.
Dam construction ; Water power ; Water allocation ; Downstream ; Living standards ; Weeds ; Climate change ; Socioeconomic environment / Ghana / Akosombo / Kpong Dam
(Location: IWMI HQ Call no: e-copy only Record No: H048402)
3 Mul, Marloes; Ofosu, E. A.; Mante, Y.; Ghansah, Benjamin; Annor, F. O.; Boateng-Gyimah, M. 2017. Defining restoration flow targets to restore ecological functions and livelihoods in the lower Volta Basin. In Ntiamoa-Baidu, Y.; Ampomah, B. Y.; Ofosu, E. A. (Eds.). Dams, development and downstream communities: implications for re-optimising the operations of the Akosombo and Kpong Dams in Ghana. Tema, Ghana: Digibooks Ghana Ltd. pp.185-209.
Ecological factors ; Living standards ; Environmental flows ; Dam construction ; River basins ; Ecosystem services ; Fisheries ; Dry season ; Wet season ; Aquatic weeds ; Groundwater ; Flooding ; Sediment ; Health ; Infrastructure ; Aquaculture ; Irrigation / Ghana / Volta Basin / Akosombo / Kpong Dams
(Location: IWMI HQ Call no: e-copy only Record No: H048403)
4 Mul, Marloes L.; Balana, Bedru; Annor, F. O.; Boateng-Gyimah, M.; Ofosu, E. A.; Dokyi, J. 2017. Framework for re-operating the large hydropower dams to improve local livelihoods and poverty reduction. In Ntiamoa-Baidu, Y.; Ampomah, B. Y.; Ofosu, E. A. (Eds.). Dams, development and downstream communities: implications for re-optimising the operations of the Akosombo and Kpong Dams in Ghana. Tema, Ghana: Digibooks Ghana Ltd. pp.303-318.
Water power ; Water availability ; Dam construction ; Living standards ; Downstream ; Local communities ; Poverty ; River basins ; Economic aspects ; Social aspects ; Investment ; Ecosystem services ; Case studies / Ghana / Volta River / Akosombo Dam / Kpong Dam
(Location: IWMI HQ Call no: e-copy only Record No: H048406)
5 Ntiamoa-Baidu, Y.; Ampomah, B. Y.; Ofosu, E. A.. (Eds.) 2017. Dams, development and downstream communities: implications for re-optimising the operations of the Akosombo and Kpong Dams in Ghana. Tema, Ghana: Digibooks Ghana Ltd. 466p.
Dams ; Downstream ; Community development ; Local communities ; Development projects ; Environmental flows ; Environmental impact ; River basin management ; Hydrology ; Fisheries ; Living standards ; Biodiversity ; Aquatic environment ; Aquatic weeds ; Groundwater recharge ; Rain ; Temperature ; Water power ; Energy generation ; Restoration ecology ; Socioeconomic environment ; Economic aspects ; Poverty ; Lakes ; Corporate culture ; Public health ; Drinking water ; Water supply ; Mapping ; Case studies / Ghana / Akosombo Dam / Kpong Dam / Lower Volta River / Volta Lake
(Location: IWMI HQ Call no: 627.8 G200 NTI Record No: H048570)
6 Mensah, J. K.; Ofosu, E. A.; Yidana, S. M.; Akpoti, Komlavi; Kabo-bah, A. T. 2022. Integrated modeling of hydrological processes and groundwater recharge based on land use land cover, and climate changes: a systematic review. Environmental Advances, 8:100224. [doi: https://doi.org/10.1016/j.envadv.2022.100224]
Hydrological modelling ; Groundwater recharge ; Land use change ; Land cover change ; Climate change
(Location: IWMI HQ Call no: e-copy only Record No: H051080)
https://www.sciencedirect.com/science/article/pii/S266676572200059X/pdfft?md5=1e1fa4273fd95cdf7b681f7387c5922e&pid=1-s2.0-S266676572200059X-main.pdf
https://vlibrary.iwmi.org/pdf/H051080.pdf
https://vlibrary.iwmi.org/pdf/H051080.pdf
(6.22 MB) (6.22 MB)
Groundwater is the main available freshwater resource and therefore its use, management and sustainability are closely related to the Sustainable Development Goals (SDGs). However, Land Use Land Cover (LULC) and climate change are among the factors impacting groundwater recharge. The use of land-use and climate data in conjunction with hydrological models are valuable tools for assessing these impacts on river basins. This systematic review aimed at assessing the integrated modeling approach for evaluating hydrological processes and groundwater recharge based on LULC and climate change. The analysis is based on 200 peer-reviewed articles indexed in Scopus, and the Web of Science. Continuous research and the development of context-specific groundwater recharge models are essential to increase the long-term viability of water resources in any basin. The long-term impacts of natural and anthropogenic drivers on river basin interactions require integrating knowledge and modeling capabilities across biophysical responses, environmental problems, policies, economics, social, and data.
7 Mensah, J. K.; Ofosu, E. A.; Akpoti, Komlavi; Kabo-Bah, A. T.; Okyereh, S. A.; Yidana, S. M. 2022. Modeling current and future groundwater demands in the White Volta River Basin of Ghana under climate change and socio-economic scenarios. Journal of Hydrology: Regional Studies, 41:101117. [doi: https://doi.org/10.1016/j.ejrh.2022.101117]
Water demand ; Groundwater ; Modelling ; Forecasting ; River basins ; Climate change ; Socioeconomic development ; Irrigation water ; Domestic water ; Livestock ; Planning ; Catchment areas / Ghana / White Volta River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051165)
https://www.sciencedirect.com/science/article/pii/S2214581822001306/pdfft?md5=46b90fe408011ab196a86f42465f690f&pid=1-s2.0-S2214581822001306-main.pdf
https://vlibrary.iwmi.org/pdf/H051165.pdf
https://vlibrary.iwmi.org/pdf/H051165.pdf
(13.30 MB) (13.3 MB)
Study region: White Volta River Basin, Ghana.
Study focus: Groundwater sustainability is becoming a major concern in the face of population growth, land use land cover (LULC), and climate changes. The Water Evaluation and Planning (WEAP) model is used in this study to analyse the current and future groundwater demands for the period of 2015–2070. Two Representative Concentration Pathways (RCP4.5 and RCP 8.5) scenarios from statistically downscaled fifteen CMIP5 models were combined three Shared Socioeconomic Pathways (SSPs 2,3 and 5) scenarios in the nine sub-catchments of the White Volta River Basin.
New hydrological insights for the study region: The WEAP model was calibrated (2006–2012) and validated (2013–2020) using streamflow data from six gauges in five sub-catchments. The findings show that climatic change and socio-economic development will result in a disparity between groundwater supply and demand in sub-catchments with greater socioeconomic growth, especially those with higher population density and arable agricultural land. Among the basin’s nine sub-catchments, four will experience water scarcity under all future scenarios. While the groundwater flow and recharge data may be evaluated using several physical hydrological models, the calibration and validation results suggest that the current modeling approach is capable of reliably predicting future groundwater demand with associated uncertainties. The study establishes a link between climate change, socio-economic growth, and groundwater availability in the White Volta River Basin.
Study focus: Groundwater sustainability is becoming a major concern in the face of population growth, land use land cover (LULC), and climate changes. The Water Evaluation and Planning (WEAP) model is used in this study to analyse the current and future groundwater demands for the period of 2015–2070. Two Representative Concentration Pathways (RCP4.5 and RCP 8.5) scenarios from statistically downscaled fifteen CMIP5 models were combined three Shared Socioeconomic Pathways (SSPs 2,3 and 5) scenarios in the nine sub-catchments of the White Volta River Basin.
New hydrological insights for the study region: The WEAP model was calibrated (2006–2012) and validated (2013–2020) using streamflow data from six gauges in five sub-catchments. The findings show that climatic change and socio-economic development will result in a disparity between groundwater supply and demand in sub-catchments with greater socioeconomic growth, especially those with higher population density and arable agricultural land. Among the basin’s nine sub-catchments, four will experience water scarcity under all future scenarios. While the groundwater flow and recharge data may be evaluated using several physical hydrological models, the calibration and validation results suggest that the current modeling approach is capable of reliably predicting future groundwater demand with associated uncertainties. The study establishes a link between climate change, socio-economic growth, and groundwater availability in the White Volta River Basin.
8 Obahoundje, Salomon; Diedhiou, A.; Akpoti, Komlavi; Kouassi, K. L.; Ofosu, E. A.; Kouame, D. G. M. 2024. Predicting climate-driven changes in reservoir inflows and hydropower in Côte d'Ivoire using machine learning modeling. Energy, 302:131849. [doi: https://doi.org/10.1016/j.energy.2024.131849]
Climate change ; Climate prediction ; Reservoirs ; Dams ; Machine learning ; Modelling ; Time series analysis ; Water power ; Hydroelectric power generation ; River basins ; Climate variability / Côte d'Ivoire / Buyo Dam / Kossou Dam / Taboo Dam
(Location: IWMI HQ Call no: e-copy only Record No: H052857)
(18.20 MB)
This study investigates the impact of climate change and variability on reservoir inflow and hydropower generation at three key hydropower plants in Côte d'Ivoire including Buyo, Kossou, and Taboo. To simulate inflow to reservoir and energy generation, the Random Forest (RF), a machine-learning algorithm allowing fewer input variables was applied. In three-step, RF k-fold cross validation (with k = 5) was used; (i) 12 and 6 multiple lags of precipitation and temperature at monthly increments were used as predictors, respectively; (ii) the five most important variables were used in addition to the current month's precipitation and temperature; and (iii) a residual RF was built. The bias-adjusted ensemble mean of eleven climate models output of the COordinated Regional Downscaling Experiment was used for the representative concentration pathways (RCP4.5 and RCP8.5). The model output was highly correlated with the observations, with Pearson correlations >0.90 for inflow and >0.85 for energy for the three hydropower plants. The temperature in the selected sub-catchments may increase significantly from 0.9 to 3 °C in the near (2040–2069) and from 1.7 to 4.2 °C in far (2070–2099) future periods relative to the reference period (1981–2010). A time series of precipitation showed a change in range -7 and 15 % in the near and -8 to 20 % in the far future and more years are with increasing change. Depending on the sub-catchment, the magnitude of temperature and precipitation changes will increase as greenhouse gas emissions (GHG)(greater in RCP8.5 than RCP4.5) rise. At all time scales (monthly, seasonal, and annual), the simulated inflow and energy changes were related to climate variables such as temperature and precipitation. At the annual time scale, the inflow is projected to change between -10 and 37 % and variability may depend on the reservoir. However, the energy change is promised to change between -10 and 25 %, -30 to 15 %, and 5–40 % relative to the historical (1981–2010) period for Taabo, Kossou, and Buyo dams, respectively at an annual scale. The changes may vary according to the year, the RCPs, and the dam. Consequently, decision-makers are recommended to take into consideration an energy mix plan to meet the energy demand in these seasons.
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