Browsing by Author "Nesru, M."

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Assessment of consumption and availability of water in the upper Omo-Gibe basin, Ethiopia
(2020) Nesru, M.; Nagaraj, M.K.; Shetty, A.
Understanding water balance components is imperative for proper policy and decision making, specifically in the upper part of the Omo-Gibe basin (UOGB) Ethiopia. The objective of this study is to explore the possibility of assessing consumption and availability of water using freely available satellite data and secondary data. Using twenty-three rain gauge stations data, a spatial average of rainfall was computed using the Thiessen polygon approach. Actual evapotranspiration (ETa) was estimated through the Surface Energy Balance System (SEBS). Input data used are, 16 clouds free Moderate Resolution Imaging Spectroradiometer (MODIS) images covering the study area for estimation of the spatial distribution of actual evapotranspiration covering the whole cropping year from the months of November 2003 to October 2004. Additionally, Priestly and Taylor s approach was used to estimate reference evapotranspiration (ET0). For the study period, the result of estimated precipitation and ETa showed that the UOGB received 41,080 mm3 of precipitation, while 24,135 mm3 become evapotranspired. The assessed outflow from the basin is 17.6% of the precipitation and demonstrated that water is a scares resource in the UOGB. 2019, Saudi Society for Geosciences.
Assessment of consumption and availability of water in the upper Omo-Gibe basin, Ethiopia
(Springer, 2020) Nesru, M.; Nagaraj, M.K.; Shetty, A.
Understanding water balance components is imperative for proper policy and decision making, specifically in the upper part of the Omo-Gibe basin (UOGB) Ethiopia. The objective of this study is to explore the possibility of assessing consumption and availability of water using freely available satellite data and secondary data. Using twenty-three rain gauge stations data, a spatial average of rainfall was computed using the Thiessen polygon approach. Actual evapotranspiration (ETa) was estimated through the Surface Energy Balance System (SEBS). Input data used are, 16 clouds free Moderate Resolution Imaging Spectroradiometer (MODIS) images covering the study area for estimation of the spatial distribution of actual evapotranspiration covering the whole cropping year from the months of November 2003 to October 2004. Additionally, Priestly and Taylor’s approach was used to estimate reference evapotranspiration (ET0). For the study period, the result of estimated precipitation and ETa showed that the UOGB received 41,080 mm3 of precipitation, while 24,135 mm3 become evapotranspired. The assessed outflow from the basin is 17.6% of the precipitation and demonstrated that water is a scares resource in the UOGB. © 2019, Saudi Society for Geosciences.
Multi-variable calibration of hydrological model in the upper Omo-Gibe basin, Ethiopia
(Springer, 2020) Nesru, M.; Shetty, A.; Nagaraj, M.K.
The calibration of any hydrological model in any river basin is generally performed using a single hydrological variable. Spatially distributed hydrological modeling provides an opportunity to enhance the use of multi-variable calibration models. The objective of this study is to test the efficiency of satellite-based actual evapotranspiration in the HBV hydrological model to render the catchment water balance using multi-variable calibration in the upper Omo-Gibe basin in Ethiopia. Five years (2000–2004) meteorological data, streamflow, and actual evapotranspiration (ETa) based on remote sensing were used for calibration and validation purposes. The performance of the HBV model and the efficiency of SEBS–ETa were evaluated using certain calibration criteria (objective function). The model is first calibrated using only streamflow data to test HBV model performance and then calibrated using a multi-variable (streamflow and ETa) dataset to evaluate the efficiency of SEBS–ETa. Both model setups were validated in a multi-variable evaluation using streamflow and ETa data. In the first case, the model performed well enough for streamflow and poor for ETa, while in the latter case, the performance efficiency of SEBS–ETa and streamflow data shows satisfactory to good. This implies that the performance of hydrological models is enhanced by employing multi-variable calibration. © 2020, Institute of Geophysics, Polish Academy of Sciences & Polish Academy of Sciences.
Strategies to Increase Rainfed Maize Production in the Upper Omo-Gibe Basin, Ethiopia
(Springer, 2022) Nesru, M.; Shetty, A.; Nagaraj, M.K.
Agricultural production plays a vital role in the global economy, which is also true in the upper Omo-Gibe basin (UOGB) of Ethiopia. Because of its high percentage contribution to the country's GDP, it figured prominently in job creation and its political, economic, and social stability. Additionally, agricultural production can be increased by increasing crop water productivity and improving agricultural management. Thus, this research aims to develop strategies for increasing the production of maize crops in the water-scarce Omo-gibe basin of Ethiopia. Crop production function analysis and its planting can be studied for the rainfed maize area as a function of the amount of seeds, fertilizers, and water utilized to evaluate crop yield in the study area. To enhance crop productivity in the basin, a total of 30,287.17 ha of suitable pastoral land in the three slope classes has been converted to a rainfed maize area. Furthermore, two strategies in the three land-use conditions are identified to meet the expected 2030 UOGB rainfed maize production target and are assessed based on yield gap increases of one-fourth, two-fourth, and three-fourth. In the first strategy, increasing yield gaps by one-fourth, two-fourths, and three-fourths contributes 23.12, 46.23, and 69.35%, respectively, of the total targeted production in the basin's current rainfed maize area, whereas in the second strategy, increased production for additional suitable land contributed 0.80, 0.39% and 0.68%, 1.61, 0.79 and 1.36, and 2.41, 1.18, and 2.04% of the planned target production in the same order. © 2022, The National Academy of Sciences, India.