Your search found 5 records
1 Clarke, N.; Bizimana, J.-C.; Dile, Y.; Worqlul, A.; Osorio, J.; Herbst, B.; Richardson, J. W.; Srinivasan, R.; Gerik, T. J.; Williams, J.; Jones, C. A.; Jeong, J.. 2017. Evaluation of new farming technologies in Ethiopia using the Integrated Decision Support System (IDSS). Agricultural Water Management, 180(Part B):267-279. (Special issue: Agricultural Water and Nonpoint Source Pollution Management at a Watershed Scale Part II Overseen by: Dr. Brent Clothier). [doi: https://doi.org/10.1016/j.agwat.2016.07.023]
Farming systems ; Decision support systems ; Technological changes ; Evaluation ; Water management ; Small scale systems ; Models ; Nutrition ; Energy consumption ; Cropping systems ; Farm income ; Socioeconomic environment ; Watersheds ; Environmental sustainability ; Villages / Ethiopia / Amhara Region / Fogera Woreda / Weg-Arba Amba Kebele / Shena Kebele / Lake Tana
(Location: IWMI HQ Call no: e-copy only Record No: H047957)
http://www.sciencedirect.com/science/article/pii/S0378377416302694/pdfft?md5=7548f347c9ff8e0db60dca03902b7abe&pid=1-s2.0-S0378377416302694-main.pdf
https://vlibrary.iwmi.org/pdf/H047957.pdf
https://vlibrary.iwmi.org/pdf/H047957.pdf
(3.19 MB) (3.19 MB)
This study investigates multi-dimensional impacts of adopting new technology in agriculture at the farm/village and watershed scale in sub-Saharan Africa using the Integrated Decision Support System (IDSS). Application of IDSS as an integrated modeling tool helps solve complex issues in agricultural systems by simultaneously assessing production, environmental, economic, and nutritional consequences of adopting agricultural technologies for sustainable increases in food production and use of scarce natural resources. The IDSS approach was applied to the Amhara region of Ethiopia, where the scarcity of resources and agro-environmental consequences are critical to agricultural productivity of small farm, to analyze the impacts of alternative agricultural technology interventions. Results show significant improvements in family income and nutrition, achieved through the adoption of irrigation technologies, proper use of fertilizer, and improved seed varieties while preserving environmental indicators in terms of soil erosion and sediment loadings. These pilot studies demonstrate the usefulness of the IDSS approach as a tool that can be used to predict and evaluate the economic and environmental consequences of adopting new agricultural technologies that aim to improve the livelihoods of subsistence farmers.
2 Worqlul, A. W.; Jeong, J.; Dile, Y. T.; Osorio, J.; Schmitter, Petra; Gerik, T.; Srinivasan, R.; Clark, N. 2017. Assessing potential land suitable for surface irrigation using groundwater in Ethiopia. Applied Geography, 85:1-13. [doi: https://doi.org/10.1016/j.apgeog.2017.05.010]
Surface irrigation ; Groundwater recharge ; Groundwater irrigation ; Water storage ; Geographical information systems ; Land suitability ; Land use ; Irrigated land ; Agroindustry ; Soil texture ; Slopes ; Rain ; Evapotranspiration ; Water requirements ; Water resources ; Water availability ; River basins ; Population density ; Mapping ; Farmer-led irrigation ; Crops / Ethiopia
(Location: IWMI HQ Call no: e-copy only Record No: H048151)
http://www.sciencedirect.com/science/article/pii/S0143622816306269/pdfft?md5=d81ce4d77a5a37854e1918796d7b3995&pid=1-s2.0-S0143622816306269-main.pdf
https://vlibrary.iwmi.org/pdf/H048151.pdf
https://vlibrary.iwmi.org/pdf/H048151.pdf
(5.35 MB)
Although Ethiopia has abundant land for irrigation, only a fraction of its potential land is being utilized. This study evaluates suitability of lands for irrigation using groundwater in Ethiopia using GIS-based Multi-Criteria Evaluation (MCE) techniques in order to enhance the country's agricultural industry. Key factors that significantly affect irrigation suitability evaluated in this study include physical land features (land use, soil, and slope), climate (rainfall and evapotranspiration), and market access (proximity to roads and access to market). These factors were weighted using a pair-wise comparison matrix, then reclassified and overlaid to identify suitable areas for groundwater irrigation using a 1-km grid. Groundwater data from the British Geological Survey were used to estimate the groundwater potential, which indicates the corresponding irrigation potential for major crops. Results indicated that more than 6 million ha of land are suitable for irrigation in Ethiopia. A large portion of the irrigable land is located in the Abbay, Rift Valley, Omo Ghibe, and Awash River basins. These basins have access to shallow groundwater (i.e., depth of groundwater less than 20 m from the surface) making it easier to extract. The comparison between available groundwater and total crop water requirements indicate that groundwater alone may not be sufficient to supply all suitable land. The study estimates that only 8% of the suitable land can be irrigated with the available shallow groundwater. However, groundwater is a viable option for supplementing surface water resources for irrigation in several basins in the country.
3 Worqlul, A. W.; Dile, Y. T.; Jeong, J.; Adimassu, Zenebe; Lefore, Nicole; Gerik, T.; Srinivasan, R.; Clarke, N. 2019. Effect of climate change on land suitability for surface irrigation and irrigation potential of the shallow groundwater in Ghana. Computers and Electronics in Agriculture, 157: 110-125. [doi: https://doi.org/10.1016/j.compag.2018.12.040]
Climate change ; Land suitability ; Land use ; Irrigation methods ; Surface irrigation ; Groundwater management ; Water resources ; Surface water ; GIS ; Slope ; Soils ; Socioeconomic environment ; Population density ; Rainfall ; Temperature ; Evapotranspiration / Ghana
(Location: IWMI HQ Call no: e-copy only Record No: H049052)
https://reader.elsevier.com/reader/sd/pii/S0168169918311426?token=D47C9342836EF05EF9C7A103181929ACB8DDE1F80AD6AF06C2A5B98E687E907761A212B911EFC4AC23D7985048ACB910
https://vlibrary.iwmi.org/pdf/H049052.pdf
https://vlibrary.iwmi.org/pdf/H049052.pdf
(6.84 MB)
Estimating the potential land resources suitable for irrigation and evaluating the possible impact of climate change on land suitability is essential for planning a sustainable agricultural system. This study applied a GIS-based Multi-Criteria Evaluation (MCE) technique to evaluate the suitability of land for irrigation in Ghana for a baseline period (1990 to 2010) and future time horizons 2050s (2041 to 2060) and 2070s (2061 to 2080). Key factors considered to evaluate the suitability of the land for irrigation include biophysical features (such as climate, land use, soil, and slope) and socioeconomic factors (such as proximity to roads and population density). These factors were weighted using a pairwise comparison matrix then reclassified and overlaid on a 30 m grid to estimate the irrigation potential of the country. Groundwater data from the British Geological Survey (BGS) were superimposed onto the land suitability map layer to evaluate the irrigation potential and the accessibility of shallow groundwater with simple water lifting technologies. Downscaled and bias-corrected future climate data from HadGEM2-ES under Representative Concentration Pathways (RCP) 4.5 emission scenario were used to represent the future climate horizon. Due to climate change, on average, rainfall will increase by 15 mm and 20 mm from the baseline period in the 2050s and 2070s, respectively. The average temperature shows a consistent increase in the majority of Ghana and a higher rate of increase is expected in the 2070s. Consequently, the rising temperature will increase the potential evapotranspiration by 6.0% and 7.6% in the 2050s and 2070s, respectively. The suitability analysis indicates that approximately 9% of the country is suitable for surface irrigation under the baseline period. A large portion of the potential land is located in the southwestern part of the country. The potential suitable land has an average groundwater access of 12 m from the surface with an average borehole potential yield of 2.5 L/second, which makes it favorable for utilization of simple water lifting technologies. Due to climate change, 9.5% of the suitable land will become unfavorable for irrigation in 2050s, and it is expected to reach 17% in 2070s.
4 Worqlul, A. W.; Dile, Y. T.; Schmitter, Petra; Jeong, J.; Meki, M. N.; Gerik, T. J.; Srinivasan, R.; Lefore, Nicole; Clarke, N. 2019. Water resource assessment, gaps, and constraints of vegetable production in Robit and Dangishta watersheds, Upper Blue Nile Basin, Ethiopia. Agricultural Water Management, 226:105767. [doi: https://doi.org/10.1016/j.agwat.2019.105767]
Water resources ; Assessment ; Agricultural production ; Vegetables ; Crop yield ; Tomatoes ; Onions ; Irrigation water ; Rain ; Groundwater recharge ; Watersheds ; Water use efficiency ; Fertilizer application ; Farmers ; Farmer-led irrigation ; Models / Ethiopia / Upper Blue Nile Basin / Robit Watershed / Dangishta Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H049376)
https://www.sciencedirect.com/science/article/pii/S0378377418314021/pdfft?md5=769bfc34b80853a9a6b06c0b86106dda&pid=1-s2.0-S0378377418314021-main.pdf
https://vlibrary.iwmi.org/pdf/H049376.pdf
https://vlibrary.iwmi.org/pdf/H049376.pdf
(2.00 MB) (2.00 MB)
The vast majority of farmers in sub-Saharan Africa depend on rainfed agriculture for food production and livelihood. Various factors including but not limited to rainfall variability, land degradation, and low soil fertility constrain agricultural productivity in the region. The objectives of this study were to 1) estimate the water resources potential to sustain small-scale irrigation (SSI) in Ethiopia during the dry season so as to expand food supply by growing vegetables, and 2) understand the gaps and constraints of vegetable production. The case studies were conducted in the Robit and Dangishta watersheds of the Upper Blue Nile Basin, Ethiopia. To document farmers’ cropping practices, field-level data were collected from 36 households who had been cultivating tomato (Solanum lycopersicum L.) and onion (Allium cepa L.) during the dry season (November – April). Two components of the Integrated Decision Support System (IDSS) - the Soil and Water Assessment Tool (SWAT) and Agricultural Policy Environmental eXtender (APEX) – were respectively used to assess impacts of SSI at the watershed and field-scale levels. Results suggest that there is a substantial amount of surface runoff and shallow groundwater recharge at the watershed scale. The field-scale analysis in the Robit watershed indicated that optimal tomato yield could be obtained with 500 mm of water and 200 to 250 kg/ha of urea applied with 50 kg/ ha of diammonium phosphate (DAP). In Dangishta, optimum onion yield can be obtained with 400 mm of water and 120 to 180 kg/ha of urea applied with 50 kg/ha of DAP. The field-scale simulation indicated that the average shallow groundwater recharge (after accounting for other groundwater users such as household and livestock use) was not sufficient to meet tomato and onion water demand in the dry season (October to April). The fieldscale analysis also indicated that soil evaporation attributed a significant proportion of evapotranspiration (60% for onion and 40% for tomato). Use of mulching or other soil and water conservation interventions could optimize irrigation water for vegetable production by reducing soil evaporation and thereby increasing water availability in the crop root zone.
5 Jeong, J.; Zhang, X. 2020. Model application for sustainable agricultural water use. Editorial. Agronomy, 10(3):396. (Special issue: Model Application for Sustainable Agricultural Water). [doi: https://doi.org/10.3390/agronomy10030396]
Sustainable agriculture ; Agricultural water use ; Simulation models ; Crop modelling ; Decision support systems ; Agronomy ; Environmental effects ; Uncertainty
(Location: IWMI HQ Call no: e-copy only Record No: H049589)
(0.18 MB) (180 KB)
With the growing population and climate change, increasing demands for water are intensifying competition between agricultural stakeholders. Since the mid-20th century, numerous crop models and modeling techniques have emerged for the quantitative assessment of cropping systems. This article introduces a collection of articles that explore current research in model applications for sustainable agricultural water use. The collection includes articles from model development to regional and field-scale applications addressing management effects, model uncertainty, irrigation decision support systems, and new methods for simulating salt balances. Further work is needed to integrate data science, modern sensor systems, and remote sensing technologies with the models in order to investigate the sustainability of agricultural systems in regions affected by land-use change and climate change.
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