Your search found 7 records
1 Walker, S.; Tsubo, M.. 2003. Predicting rainfall intensity from daily rainfall data. In Beukes, D.; de Villiers, M.; Mkhize, S.; Sally, H.; van Rensburg, L. (Eds.). Proceedings of the Symposium and Workshop on Water Conservation Technologies for Sustainable Dryland Agriculture in Sub-Saharan Africa (WCT), held at Bloem Spa Lodge and Conference Centre, Bloemfontein, South Africa, 8-11 April 2003. Pretoria, South Africa: ARC-Institute for Soil, Climate and Water. pp.134-141.
(Location: IWMI-HQ Call no: IWMI 631.7.1 G100 BEU Record No: H034397)
2 Tsubo, M.; Walker, S.; Hensley, M. 2005. Quantifying risk for water harvesting under semi-arid conditions: Part I - Rainfall intensity generation. Agricultural Water Management, 76(2):77-93.
(Location: IWMI-HQ Call no: PER Record No: H037135)
3 Walker, S.; Tsubo, M.; Hensley, M. 2005. Quantifying risk for water harvesting under semi-arid conditions: Part II - Crop yield simulation. Agricultural Water Management, 76(2):94-107.
(Location: IWMI-HQ Call no: PER Record No: H037136)
4 Nigussie, Z.; Tsunekawa, A.; Haregeweyn, N.; Adgo, E.; Nohmi, M.; Tsubo, M.; Aklog, D.; Meshesha, D. T.; Abele, S. 2017. Factors influencing small-scale farmers’ adoption of sustainable land management technologies in north-western Ethiopia. Land Use Policy, 67:57-64. [doi: https://doi.org/10.1016/j.landusepol.2017.05.024]
Small scale farming ; Farmer participation ; Sustainable land management ; Technology ; Water conservation ; Soil conservation ; Land degradation ; Watersheds ; Drought ; Socioeconomic environment ; Multivariate analysis ; Models / Ethiopia / Upper Blue Nile Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048585)
(0.54 MB)
Land degradation is a serious global problem because it leads to losses in food production and thus jeopardizes food security worldwide, particularly in developing countries. Despite numerous efforts to introduce sustainable land management (SLM) strategies and practices, their adoption by the primary target group, small-scale farmers in developing countries, has been [s]low. This study assesses the problem for the case of Ethiopia. The aim was to analyze the underlying factors that affect the adoption of SLM technologies in the Upper Blue Nile Basin. A detailed survey of 300 households and 1010 farm plots was conducted. Data were analyzed by using both descriptive and econometric analyses. Results show that farmers’ adoption of interrelated SLM measures depended on a number of socio-economic and farm-related factors in combination with the characteristics of the technologies themselves. For example, plot size and the availability of labor, as well as the gender of the household head, affected which SLM technologies were adopted by certain types of households. The adoption of SLM measures depended on the adaptive economic capacity of the farmers, which can be quite diverse even within a small region and can differ from the adoption potential in other regions. Our results suggest that SLM policies and programs have to be individually designed for specific target groups within specific regions, which in turn means that “one size fits all” and “across the board” strategies – which are quite common in the field of SLM – should be abandoned by development agencies and policymakers.
5 Setargie, T. A.; Tilahun, S. A.; Schmitter, Petra; Moges, M. A.; Gurmessa, S. K.; Tsunekawa, A.; Tsubo, M.; Berihun, M. L.; Fenta, A. A.; Haregeweyn, N. 2021. Characterizing shallow groundwater in hillslope aquifers using isotopic signatures: a case study in the Upper Blue Nile Basin, Ethiopia. Journal of Hydrology: Regional Studies, 37:100901. [doi: https://doi.org/10.1016/j.ejrh.2021.100901]
Groundwater ; Watersheds ; Shallow wells ; Rain ; Stream flow ; Aquifers ; Runoff ; Dry season ; Irrigation ; Hydrographs ; Stable isotopes ; Case studies / Ethiopia / Upper Blue Nile Basin / Robit-Bata Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H050667)
https://www.sciencedirect.com/science/article/pii/S2214581821001300/pdfft?md5=82c851f6dd4a1f7669a9017af2d7bf8c&pid=1-s2.0-S2214581821001300-main.pdf
https://vlibrary.iwmi.org/pdf/H050667.pdf
https://vlibrary.iwmi.org/pdf/H050667.pdf
(4.32 MB) (4.32 MB)
Study region: Robit-Bata watershed, Upper Blue Nile basin, Ethiopia.
Study focus: Stable isotopes of water (Oxygen-18 and Deuterium) were used as tracers to estimate the contribution of groundwater in shallow hillslope aquifers to streamflow in the Robit-Bata watershed. To assess the spatiotemporal variability of shallow groundwater and develop a hydrograph separation technique, we collected rainfall, shallow groundwater, and streamflow samples and analyzed their d18O and d2 H isotopic compositions. The local meteoric water line (LMWL) and local evaporative line (LEL) of the study area were determined and compared with the global meteoric water line (GMWL). A standard unweighted two-component isotope-based hydrograph separation model was used to determine the percentage contribution of shallow groundwater to streamflow.
New hydrological insights for the region: The LMWL (d2 H = 8.63·d18O + 18.2) mostly showed heavy isotopic enrichment relative to GMWL, and the LEL (d2 H = 5.45·d18O + 6.96) indicated isotopic enrichment compared to Ethiopian lakes. Shallow groundwater responded rapidly to rainfall, with good spatial correlation depending on topographic positions of wells. Pre-event water contributed 90% when the watershed reached maximum storage. This finding gives insight towards the predominant runoff generation process and has significant implications for sustainable dry season irrigation expansion in the area as the sub-surface flow drains out of the watershed from October onwards reducing water tables in the shallow wells.
Study focus: Stable isotopes of water (Oxygen-18 and Deuterium) were used as tracers to estimate the contribution of groundwater in shallow hillslope aquifers to streamflow in the Robit-Bata watershed. To assess the spatiotemporal variability of shallow groundwater and develop a hydrograph separation technique, we collected rainfall, shallow groundwater, and streamflow samples and analyzed their d18O and d2 H isotopic compositions. The local meteoric water line (LMWL) and local evaporative line (LEL) of the study area were determined and compared with the global meteoric water line (GMWL). A standard unweighted two-component isotope-based hydrograph separation model was used to determine the percentage contribution of shallow groundwater to streamflow.
New hydrological insights for the region: The LMWL (d2 H = 8.63·d18O + 18.2) mostly showed heavy isotopic enrichment relative to GMWL, and the LEL (d2 H = 5.45·d18O + 6.96) indicated isotopic enrichment compared to Ethiopian lakes. Shallow groundwater responded rapidly to rainfall, with good spatial correlation depending on topographic positions of wells. Pre-event water contributed 90% when the watershed reached maximum storage. This finding gives insight towards the predominant runoff generation process and has significant implications for sustainable dry season irrigation expansion in the area as the sub-surface flow drains out of the watershed from October onwards reducing water tables in the shallow wells.
6 Masupha, T. E.; Moeletsi, M. E.; Tsubo, M.. 2024. A transformative framework reshaping sustainable drought risk management through advanced early warning systems. iScience, 27(7):110066. [doi: https://doi.org/10.1016/j.isci.2024.110066]
Drought ; Early warning systems ; Risk management ; Vulnerability ; Models ; Artificial intelligence ; Stakeholders ; Policies
(Location: IWMI HQ Call no: e-copy only Record No: H052911)
https://www.sciencedirect.com/science/article/pii/S2589004224012914/pdfft?md5=b9eeb75b4a7ae91eb67dc528e570c32a&pid=1-s2.0-S2589004224012914-main.pdf
https://vlibrary.iwmi.org/pdf/H052911.pdf
https://vlibrary.iwmi.org/pdf/H052911.pdf
(3.01 MB) (3.01 MB)
In light of the increasing vulnerability to drought occurrences and the heightened impact of drought-related disasters on numerous communities, it is imperative for drought-sensitive sectors to adopt proactive measures. This involves the implementation of early warning systems to effectively mitigate potential risks. Guided by Toulmin’s model of argumentation, this research proposes a framework of eight interconnected modules introducing Fourth Industrial Revolution technologies to enhance drought early warning capabilities. The framework emphasizes the Internet of Things, drones, big data analytics, and deep learning for real-time monitoring and accurate drought forecasts. Another key component is the role of natural language processing in analyzing data from unstructured sources, such as social media, and reviews, essential for improving alerts, dissemination, and interoperability. While the framework optimizes resource use in agriculture, water, and the environment, overcoming impending limitations is crucial; hence, practical implementation and amendment of policies are necessary.
7 Myeni, L.; Mahleba, N.; Mazibuko, S.; Moeletsi, E.; Ayisi, K.; Tsubo, M.. 2024. Accessibility and utilization of climate information services for decision-making in smallholder farming: insights from Limpopo Province, South Africa. Environmental Development, 51:101020. (Online first) [doi: https://doi.org/10.1016/j.envdev.2024.101020]
(Location: IWMI HQ Call no: e-copy only Record No: H053029)
https://www.sciencedirect.com/science/article/pii/S2211464524000587/pdfft?md5=801cc735a877ae6d0a89f5a1724742f6&pid=1-s2.0-S2211464524000587-main.pdf
https://vlibrary.iwmi.org/pdf/H053029.pdf
https://vlibrary.iwmi.org/pdf/H053029.pdf
(1.29 MB) (1.29 MB)
The availability, accessibility and use of weather and climate information services (CIS) are essential to enable farmers to minimize losses due to climatic uncertainties and take advantage of opportunities presented by favourable climatic conditions. This study examines the key challenges and determinants of access and the utilization of CIS by smallholder farmers in the drylands of South Africa, using Limpopo Province as the case study. Primary data were collected using a pre-tested, structured questionnaire administered from 240 households and were validated through focus group discussions with key local informants. Descriptive statistics, frequency analysis and a binary logistic model were used for data analysis. The results indicated that most smallholder farmers had access to the daily weather forecasts (76%) that are mainly broadcasted via radio (66%) and television (63%), while very few had access to other types of CIS such as seasonal weather forecasts (7%) and early warnings (10%). The results indicate that most smallholder farmers (56%) were not using any CIS in planning their farm activities. This was mainly due to unreliability, lack of tailored and local-specific CIS (farm or community level) as well as language barriers, difficulty in understanding, decoding and use of supplied information for decision-making. The results also showed that the accessibility and utilization of CIS varies across different locations due to their differences in terms of customs, access to resources and levels of prioritizing farming as a major source of livelihood. The results further indicated that farming being a major occupation and awareness of climate variability were the main factors determining the accessibility of CIS, while utilization of CIS was additionally determined by the level of education and understating of climate change in the study area. The access to internet and mobile applications, awareness campaigns, capacity-building initiatives and co-production of local-specific CIS accompanied by agrometeorological advisories are recommended to overcome these barriers to the access and use of CIS.
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