Your search found 13 records
1 Akpoti, K.; Kabo-bah, A. T.; Zwart, Sander J. 2019. Agricultural land suitability analysis: state-of-the-art and outlooks for integration of climate change analysis. Agricultural Systems, 173:172-208. [doi: https://doi.org/10.1016/j.agsy.2019.02.013]
Agricultural land ; Sustainable agriculture ; Sustainable Development Goals ; Land suitability ; Land use ; Integration ; Climate change ; Machine learning ; Crop production ; Crop yield ; Crop modelling ; Food security ; Environmental impact ; Planning ; Water availability ; Socioeconomic environment ; Ecosystems
(Location: IWMI HQ Call no: e-copy only Record No: H049142)
Agricultural land suitability analysis (ALSA) for crop production is one of the key tools for ensuring sustainable agriculture and for attaining the current global food security goal in line with the Sustainability Development Goals (SDGs) of United Nations. Although some review studies addressed land suitability, few of them specifically focused on land suitability analysis for agriculture. Furthermore, previous reviews have not reflected on the impact of climate change on future land suitability and how this can be addressed or integrated into ALSA methods. In the context of global environmental changes and sustainable agriculture debate, we showed from the current review that ALSA is a worldwide land use planning approach. We reported from the reviewed articles 69 frequently used factors in ALSA. These factors were further categorized in climatic conditions (16), nutrients and favorable soils (34 of soil and landscape), water availability in the root zone (8 for hydrology and irrigation) and socio-economic and technical requirements (11). Also, in getting a complete view of crop’s ecosystems and factors that can explain and improve yield, inherent local socio-economic factors should be considered. We showed that this aspect has been often omitted in most of the ALSA modeling with only 38% of the total reviewed article using socio-economic factors. Also, only 30% of the studies included uncertainty and sensitivity analysis in their modeling process. We found limited inclusions of climate change in the application of the ALSA. We emphasize that incorporating current and future climate change projections in ALSA is the way forward for sustainable or optimum agriculture and food security. To this end, qualitative and quantitative approaches must be integrated into a unique ALSA system (Hybrid Land Evaluation System - HLES) to improve the land evaluation approach.
2 Akpoti, K.; Kabo-bah, A. T.; Dossou-Yovo, E. R.; Groen, T. A.; Zwart, Sander J. 2020. Mapping suitability for rice production in inland valley landscapes in Benin and Togo using environmental niche modeling. Science of the Total Environment, 709:136165. [doi: https://doi.org/10.1016/j.scitotenv.2019.136165]
Land suitability ; Rice ; Agricultural production ; Environmental modelling ; Linear models ; Forecasting ; Uncertainty ; Water productivity ; Soil water content ; Rainfed farming ; Climatic data ; Soil chemicophysical properties ; Socioeconomic environment ; Valleys / Benin / Togo
(Location: IWMI HQ Call no: e-copy only Record No: H049495)
(5.47 MB)
Inland valleys (IVs) in Africa are important landscapes for rice cultivation and are targeted by national governments to attain self-sufficiency. Yet, there is limited information on the spatial distribution of IVs suitability at the national scale. In the present study, we developed an ensemble model approach to characterize the IVs suitability for rainfed lowland rice using 4 machine learning algorithms based on environmental niche modeling (ENM) with presence-only data and background sample, namely Boosted Regression Tree (BRT), Generalized Linear Model (GLM), Maximum Entropy (MAXNT) and Random Forest (RF). We used a set of predictors that were grouped under climatic variables, agricultural water productivity and soil water content, soil chemical properties, soil physical properties, vegetation cover, and socio-economic variables. The Area Under the Curves (AUC) evaluation metrics for both training and testing were respectively 0.999 and 0.873 for BRT, 0.866 and 0.816 for GLM, 0.948 and 0.861 for MAXENT and 0.911 and 0.878 for RF. Results showed that proximity of inland valleys to roads and urban centers, elevation, soil water holding capacity, bulk density, vegetation index, gross biomass water productivity, precipitation of the wettest quarter, isothermality, annual precipitation, and total phosphorus among others were major predictors of IVs suitability for rainfed lowland rice. Suitable IVs areas were estimated at 155,000–225,000 Ha in Togo and 351,000–406,000 Ha in Benin. We estimated that 53.8% of the suitable IVs area is needed in Togo to attain self-sufficiency in rice while 60.1% of the suitable IVs area is needed in Benin to attain self-sufficiency in rice. These results demonstrated the effectiveness of an ensemble environmental niche modeling approach that combines the strengths of several models.
3 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.
4 Akpoti, Komlavi; Groen, T.; Dossou-Yovo, E.; Kabo-bah, A. T.; Zwart, Sander J. 2022. Climate change-induced reduction in agricultural land suitability of West-Africa’s inland valley landscapes. Agricultural Systems, 200:103429. [doi: https://doi.org/10.1016/j.agsy.2022.103429]
Farmland ; Land suitability ; Climate change ; Valleys ; Agricultural landscape ; Rainfed farming ; Rice ; Agroecosystems ; Self-sufficiency ; Temperature ; Precipitation ; Forecasting ; Ecological niche modelling ; Machine learning ; Uncertainty / West Africa / Togo / Benin
(Location: IWMI HQ Call no: e-copy only Record No: H051146)
(7.41 MB)
CONTEXT: Although rice production has increased significantly in the last decade in West Africa, the region is far from being rice self-sufficient. Inland valleys (IVs) with their relatively higher water content and soil fertility compared to the surrounding uplands are the main rice-growing agroecosystem. They are being promoted by governments and development agencies as future food baskets of the region. However, West Africa’s crop production is estimated to be negatively affected by climate change due to the strong dependence of its agriculture on rainfall.
OBJECTIVE: The main objective of the study is to apply a set of machine learning models to quantify the extent of climate change impact on land suitability for rice using the presence of rice-only data in IVs along with bioclimatic indicators.
METHODS: We used a spatially explicit modeling approach based on correlative Ecological Niche Modeling. We deployed 4 algorithms (Boosted Regression Trees, Generalized Linear Model, Maximum Entropy, and Random Forest) for 4-time periods (the 2030s, 2050s, 2070s, and 2080s) of the 4 Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, and RCP8) from an ensemble set of 32 spatially downscaled and bias-corrected Global Circulation Models climate data.
RESULTS AND CONCLUSIONS: The overall trend showed a decrease in suitable areas compared to the baseline as a function of changes in temperature and precipitation by the order of 22–33% area loss under the lowest reduction scenarios and more than 50% in extreme cases. Isothermality or how large the day to night temperatures oscillate relative to the annual oscillations has a large impact on area losses while precipitation increase accounts for most of the areas with no change in suitability. Strong adaptation measures along with technological advancement and adoption will be needed to cope with the adverse effects of climate change on inland valley rice areas in the sub-region. SIGNIFICANCE: The demand for rice in West Africa is huge. For the rice self-sufficiency agenda of the region, “where” and “how much” land resources are available is key and requires long-term, informed planning. Farmers can only adapt when they switch to improved breeds, providing that they are suited for the new conditions. Our results stress the need for land use planning that considers potential climate change impacts to define the best areas and growing systems to produce rice under multiple future climate change uncertainties.
OBJECTIVE: The main objective of the study is to apply a set of machine learning models to quantify the extent of climate change impact on land suitability for rice using the presence of rice-only data in IVs along with bioclimatic indicators.
METHODS: We used a spatially explicit modeling approach based on correlative Ecological Niche Modeling. We deployed 4 algorithms (Boosted Regression Trees, Generalized Linear Model, Maximum Entropy, and Random Forest) for 4-time periods (the 2030s, 2050s, 2070s, and 2080s) of the 4 Representative Concentration Pathways (RCP2.6, RCP4.5, RCP6.0, and RCP8) from an ensemble set of 32 spatially downscaled and bias-corrected Global Circulation Models climate data.
RESULTS AND CONCLUSIONS: The overall trend showed a decrease in suitable areas compared to the baseline as a function of changes in temperature and precipitation by the order of 22–33% area loss under the lowest reduction scenarios and more than 50% in extreme cases. Isothermality or how large the day to night temperatures oscillate relative to the annual oscillations has a large impact on area losses while precipitation increase accounts for most of the areas with no change in suitability. Strong adaptation measures along with technological advancement and adoption will be needed to cope with the adverse effects of climate change on inland valley rice areas in the sub-region. SIGNIFICANCE: The demand for rice in West Africa is huge. For the rice self-sufficiency agenda of the region, “where” and “how much” land resources are available is key and requires long-term, informed planning. Farmers can only adapt when they switch to improved breeds, providing that they are suited for the new conditions. Our results stress the need for land use planning that considers potential climate change impacts to define the best areas and growing systems to produce rice under multiple future climate change uncertainties.
5 Kouman, K. D.; Kabo-bah, A. T.; Kouadio, B. H.; Akpoti, Komlavi. 2022. Spatio-temporal trends of precipitation and temperature extremes across the North-East Region of Cote d’Ivoire over the period 1981–2020. Climate, 10(5):74. (Special issue: Impacts of Extreme Weather on Hydrological Process, Water Quality and Ecosystem in Agricultural and Forested Watersheds under the Changing Climate) [doi: https://doi.org/10.3390/cli10050074]
Climate change ; Extreme weather events ; Precipitation ; Temperature ; Rain ; Trends ; Estimation ; Spatial distribution ; Time series analysis ; Indicators ; Agriculture / West Africa / Cote d'Ivoire / Zanzan
(Location: IWMI HQ Call no: e-copy only Record No: H051152)
https://www.mdpi.com/2225-1154/10/5/74/pdf?version=1653036527
https://vlibrary.iwmi.org/pdf/H051152.pdf
https://vlibrary.iwmi.org/pdf/H051152.pdf
(7.07 MB) (7.07 MB)
The northeast region of Cote d’Ivoire, where agriculture is the main economic activity, is potentially vulnerable to extreme climatic conditions. This study aims to make a comprehensive spatio-temporal analysis of trends in extreme indices related to precipitation and temperature for the Zanzan region of Cote d’Ivoire over the period of 1981–2020. The statistical significance of the calculated trends was assessed using the non-parametric Mann–Kendall test, while Sen’s slope estimation was used to define the amount of change. For extreme precipitations, the results showed a decreasing trend in annual total precipitations estimated at 112.37 mm and in daily precipitations intensity indices. Furthermore, the consecutive dry days’ index showed an increasing trend estimated at 18.67 days. Unlike the trends in precipitation extremes, which showed statistically non-significant trends, the trends in temperature extremes were mostly significant over the entire study area. The cold spells indices all show decreasing trends, while the warm spells show increasing trends. Drawing inferences from the results, it becomes clear that the study area may be threatened by food insecurity and water scarcity. The results are aimed to support climate adaptation efforts and policy intervention in the region.
6 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.
7 Siabi, E. K.; Dile, Y. T.; Kabo-Bah, A. T.; Amo-Boateng, M.; Anornu, G. K.; Akpoti, Komlavi; Vuu, C.; Donkor, P.; Mensah, S. K.; Incoom, A. B. M.; Opoku, E. K.; Atta-Darkwa, T. 2022. Machine learning based groundwater prediction in a data-scarce basin of Ghana. Applied Artificial Intelligence, 36(1):2138130. [doi: https://doi.org/10.1080/08839514.2022.2138130]
Groundwater recharge ; Forecasting ; Estimation ; Machine learning ; Neural networks ; Modelling ; Precipitation ; Evapotranspiration ; Surface runoff ; Climate change ; Rain ; Aquifers / Ghana / Volta Basin / Akuse / Ketekrachi / Tamale / Wenchi
(Location: IWMI HQ Call no: e-copy only Record No: H051547)
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2138130?needAccess=true
https://vlibrary.iwmi.org/pdf/H051547.pdf
https://vlibrary.iwmi.org/pdf/H051547.pdf
(5.90 MB) (5.90 MB)
Groundwater (GW) is a key source of drinking water and irrigation to combat growing food insecurity and for improved water access in rural sub-Saharan Africa. However, there are limited studies due to data scarcity in the region. New modeling techniques such as Machine learning (ML) are found robust and promising tools to assess GW recharge with less expensive data. The study utilized ML technique in GW recharge prediction for selected locations to assess sustainability of GW resources in Ghana. Two artificial neural networks (ANN) models namely Feedforward Neural Network with Multilayer Perceptron (FNN-MLP) and Extreme Learning Machine (FNN-ELM) were used for the prediction of GW using 58 years (1960–2018) of GW data. Model evaluation between FNN-MLP and FNN-ELM showed that the former approach was better in predicting GW with R2 ranging from 0.97 to 0.99 while the latter has an R2 between 0.42 to 0.68. The overall performance of both models was acceptable and suggests that ANN is a useful forecasting tool for GW assessment. The outcomes from this study will add value to the current methods of GW assessment and development, which is one of the pillars of the sustainable development goals (SDG 6).
8 Akpoti, Komlavi; Obahoundje, S.; Mortey, E. M.; Diawuo, F. A.; Antwi, E. O.; Gyamfi, S.; Domfeh, M. K.; Kabo-bah, A. T.. 2023. Technological advances in prospecting sites for pumped hydro energy storage. In Kabo-Bah, A. T.; Diawuo, F. A.; Antwi, E. O. (Eds.). Pumped hydro energy storage for hybrid systems. London, UK: Academic Press. pp.105-118. [doi: https://doi.org/10.1016/B978-0-12-818853-8.00009-1]
Hydroelectric power ; Energy demand ; Renewable energy ; Storage ; Technological changes ; Reservoirs ; Pumping ; Social aspects ; Economic aspects ; Environmental factors ; Environmental impact ; Aquatic habitats ; Water requirements ; Models
(Location: IWMI HQ Call no: e-copy only Record No: H051548)
(0.25 MB)
This chapter provides a survey of pumped hydroelectric energy storage (PHES) in terms of the factors considered in the site selection process: geographic, social, economic, and environmental. Due to the number and complexity of factors considered for this purpose, a multicriteria decision-making model is often used during the selection process. From our study, it is observed that the implementation of a PHES project may come with several environmental concerns, that is land and water requirements, impacts on the fishery industry, aquatic habitat, cultural, historical as well as natural. However, we also observed that many of these concerns are being addressed with improvement in PHES technology.
9 Domfeh, M. K.; Diawuo, F. A.; Akpoti, Komlavi; Antwi, E. O.; Kabo-bah, A. T.. 2023. Lessons for pumped hydro energy storage systems uptake. In Kabo-Bah, A. T.; Diawuo, F. A.; Antwi, E. O. (Eds.). Pumped hydro energy storage for hybrid systems. London, UK: Academic Press. pp.137-154. [doi: https://doi.org/10.1016/B978-0-12-818853-8.00012-1]
Hydroelectric power ; Renewable energy ; Storage ; Pumping ; Decision making ; Public-private partnerships ; Socioeconomic aspects ; Climate change ; Electricity ; Markets ; Infrastructure ; Financing ; Trends
(Location: IWMI HQ Call no: e-copy only Record No: H051549)
(0.20 MB)
Pumped hydro energy storage (PHES) has for years been touted as a suitable alternative for balancing the mismatch between demand and supply of electricity. As the world transits from a fossil fuel-based electricity sector to a renewable energy-based one, PHES is also continuously being used to resolve challenges regarding variable or intermittent sources of energy. This chapter presents lessons from countless literature and studies on the global development and market environment of PHES. The study reveals that critical factors such as investing in public-private research, development and deployment, instituting regulatory frameworks that stimulate innovative operation of PHES, increasing digital operation of PHES systems, and retrofitting PHES facilities could foster the uptake and revolutionize the development of PHES.
10 Ouattara, Z. A.; Kabo-Bah, A. T.; Dongo, K.; Akpoti, Komlavi. 2023. A review of sewerage and drainage systems typologies with case study in Abidjan, Côte d'Ivoire: failures, policy and management techniques perspectives. Cogent Engineering, 10(1):2178125. [doi: https://doi.org/10.1080/23311916.2023.2178125]
Sewerage ; Drainage systems ; Policies ; Management techniques ; Urban areas ; Cities ; Solid wastes ; Wastewater ; Sanitation ; Decision support systems ; Models ; Institutions ; Case studies / Africa South of Sahara / Côte d'Ivoire / Abidjan
(Location: IWMI HQ Call no: e-copy only Record No: H051899)
https://www.tandfonline.com/doi/epdf/10.1080/23311916.2023.2178125?needAccess=true&role=button
https://vlibrary.iwmi.org/pdf/H051899.pdf
https://vlibrary.iwmi.org/pdf/H051899.pdf
(25.10 MB) (25.1 MB)
The failure of sewage and drainage systems in SubSaharan African cities is frequent and can be considered as a critical issue, both from an environmental standpoint and in terms of associated maintenance costs. This study analyzes the state of the sanitation systems, the elements behind the failures, the environmental concepts used to classify the problems, and the tools and methodological alternatives for ranking the various management solutions. This research illustrates the causes that contribute to the dysfunctions in the sewage systems of Abidjan as a typical example of sewerage systems management challenges in SubSaharan Africa’s large cities. Poor solid waste and wastewater management practices by residents, e.g., illegal dumping of solid waste into the sewers, unauthorized and defective connections to the network, structural dysfunctions related to the age of the network (cracked, denuded, or broken), urban agriculture in the vicinity of the channels, natural phenomena such as erosion, landslides in the undeveloped parts, and the high concentration of vegetation in the network, wholly contribute to the degradation of the network. A variety of decision support systems for the management of the assets of the urban sewage network were presented. The instruments have been categorized based on their capacity and functionality. The operating concept of each of these tools has been outlined, as well as their respective data needs. In addition, the study analyzes challenges related to the usage of existing decision support systems and provides an outlook on future research requirements in this area. This study offers a detailed analysis of the issues of sanitation management and could serve as a reference for other emerging nations in SubSaharan Africa.
11 Ouattara, Z. A.; Kabo-Bah, A. T.; Dongo, K.; Akpoti, Komlavi; Siabi, E. K.; Kablan, M. K. A.; Kangah, K. M. 2023. Operational and structural diagnosis of sewerage and drainage networks in Côte d’Ivoire, West Africa. Frontiers in Sustainable Cities, 5:1032459. [doi: https://doi.org/10.3389/frsc.2023.1032459]
Sewerage ; Drainage systems ; Waste management ; Wastewater ; Solid wastes ; Household wastes ; Waste disposal ; Infiltration ; Urbanization ; Anthropogenic factors ; Socioeconomic aspects ; Environmental factors ; Sanitation ; Rainwater ; Vegetation ; Models / West Africa / Côte d’Ivoire / Abidja / Yopougon
(Location: IWMI HQ Call no: e-copy only Record No: H051958)
https://www.frontiersin.org/articles/10.3389/frsc.2023.1032459/pdf
https://vlibrary.iwmi.org/pdf/H051958.pdf
https://vlibrary.iwmi.org/pdf/H051958.pdf
(2.69 MB) (2.69 MB)
In Cote d’Ivoire, the failure of urban sewage systems is a crucial problem for the drainage of wastewater and rainwater. This failure is due to many factors and therefore, calls for diagnostic studies. The present study aimed at analyzing these networks in order to identify the dierent factors that contribute to the operational and structural degradation in selected sewerage and drainage networks in Abidjan, Cote d’Ivoire. The method used in the study involved semi-structured interviews, video camera inspection and socio-environmental field surveys (geographical survey and household survey), followed by descriptive statistics. The results revealed that many structural, environmental and behavioral practice contribute to the progressive degradation of urban sewage systems. These factors are essentially those that prevent the normal flow of wastewater in the pipes such as the illegal dumping of solid waste, the unauthorized connection of wastewater networks, unsustainable urban agricultural practices, as well as the high concentration of vegetation on both sides of the network and the dilapidated infrastructure of the wastewater and rainwater networks. It was found that these factors are at the origin of the clogging and degradation of the sewers since 85% of the residents used these sewers as a dumping ground for solid waste.
12 Siabi, E. K.; Awafo, E. A.; Kabo-bah, A. T.; Derkyi, N. S. A.; Akpoti, Komlavi; Mortey, E. M.; Yazdanie, M. 2023. Assessment of Shared Socioeconomic Pathway (SSP) climate scenarios and its impacts on the Greater Accra Region. Urban Climate, 49:101432. [doi: https://doi.org/10.1016/j.uclim.2023.101432]
Climate change ; Socioeconomic impact ; Assessment ; Urban areas ; Climate prediction ; Trends ; Climate models ; Precipitation ; Temperature ; Policies ; Sustainable Development Goals ; Goal 11 Sustainable Cities and Communities ; Goal 13 Climate action / Ghana / Greater Accra Region
(Location: IWMI HQ Call no: e-copy only Record No: H052016)
https://www.sciencedirect.com/science/article/pii/S2212095523000263/pdfft?md5=45ee630daa87c98c763c15711963ba8c&pid=1-s2.0-S2212095523000263-main.pdf
https://vlibrary.iwmi.org/pdf/H052016.pdf
https://vlibrary.iwmi.org/pdf/H052016.pdf
(22.40 MB) (22.4 MB)
The effects of climate change (CC) have intensified in Ghana, especially in the Greater Accra region over the last two decades. CC assessment under the new IPCC scenarios and consistent local station data is limited. Consequently, CC assessment is becoming difficult in data-scarce regions in Ghana. This study utilizes six different Regional Climate Models under the 6th IPCC Report’s Shared Socioeconomic Pathway scenarios (SSPs) of the CMIP6, which were bias-corrected with CMhyd over Greater Accra using ground station and PUGMF reanalysis data. The study reveals a reduction and potential shift in the intensity of precipitation in the region under the SSPs. Maximum temperature is expected to increase by 0.81–1.45 C, 0.84–1.54 C, 0.96–1.70 C and 0.98–1.73 C, while minimum temperature would likely increase by 1.33–2.02 C, 1.49–2.22 C, 1.71–4.75 C and 1.75–4.83 C under SSP1–2.6, SSP2–4.5, SSP3–7.0, and SSP5–8.5 scenarios, respectively. Thus, temperature will likely increase, especially at night in the near future. Rising temperatures and changes in precipitation have impacts on all strata of society, from agricultural production to power generation and beyond. These findings can help inform Ghanaian policymaking on Sustainable Development Goals 11 and 13 as well as nationally determined contributions within the Paris Agreement.
13 Ouattara, Z. A.; Dongo, K.; Akpoti, Komlavi; Kabo-Bah, A. T.; Attiogbe, F.; Siabi, E. K.; Iweh, C. D.; Gogo, G. H. 2023. Assessment of solid and liquid wastes management and health impacts along the failed sewerage systems in capital cities of African countries: case of Abidjan, Côte d'Ivoire. Frontiers in Water, 5:1071686. [doi: https://doi.org/10.3389/frwa.2023.1071686]
Waste management ; Solid wastes ; Liquid wastes ; Environmental impact ; Health hazards ; Sewerage ; Cities ; Urban areas ; Wastewater ; Sanitation ; Pollution indicators ; Risk factors ; Chemicophysical properties ; Households / Côte d'Ivoire / Abidjan
(Location: IWMI HQ Call no: e-copy only Record No: H052034)
https://www.frontiersin.org/articles/10.3389/frwa.2023.1071686/pdf
https://vlibrary.iwmi.org/pdf/H052034.pdf
https://vlibrary.iwmi.org/pdf/H052034.pdf
(2.16 MB) (2.16 MB)
The management of domestic wastewater and rainwater is a major concern for the population of Yopougon. The study presents the causes of wastewater discharge from dysfunctional sewers and their health impacts on the population. It also highlights the environmental and health risk associated with poor solid and liquid waste management. This was based on literature search, semi-participatory workshop, physicochemical and bacteriological characterization of wastewater and finally through a household survey. The field survey was conducted on 245 household heads obtained using the Canadian statistical guidelines. The results obtained indicated that all main pollution indicators were; total nitrogen (TN, 525 ± 0.02 to 3077 ± 0.3 mg/l), nitrates (NO3, 146 ± 0.01 to 1347 ± 0.12 mg/l), biochemical oxygen demand (BOD, 278 ± 195.16 to 645 ± 391.74 mg/l), chemical oxygen demand (COD, 940 ± 650.54 to 4050.5 ± 71.42 mg/l) and total dissolved solids (TDS, 151 ± 9.9 to 766 ± 237.59 mg/l) which were above the values recommended by the World Health Organization (WHO) and Cote d'Ivoire national policy guidelines standards for the discharge of effluents into the environment. The analysis of the bacterial flora of the effluents revealed that the concentrations of Total Coliforms and fecal streptococci exceeded the values recommended by the WHO and national policy guidelines standards. This means that the populations of this area are prone to infectious diseases. Diseases such as malaria (84.53%), respiratory infections (61%), diarrhea (48.66%), intestinal diseases (44.5%), and typhoid fever (28.84%) were prevalent in the surveyed households.
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