Paulos Lukas Debissa

Dr. Paulos Lukas Debissa


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 February 2025 in Climate
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Journal Article
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PDPaulos Lukas Debissa
Paulos Lukas Debissa
Assefa MelesseAssefa Melesse
Assefa Melesse
TKTadesse Tujuba Kenea
Tadesse Tujuba Kenea
It is imperative to assess and comprehend the hydrological processes of the river basin in light of the potential effects of land use/land cover and climate changes. The study’s main objective was to evaluate hydrologic response of water balance components to the projected land use/land cover (LULC) and climate changes in the Omo–Gibe River Basin, Ethiopia. The study employed historical precipitation, maximum and minimum temperature data from meteorological stations, projected LULC change from module for land use simulation and evaluation (MOLUSCE) output, and climate change scenarios from coupled model intercomparison project phase 6 (CMIP6) global climate models (GCMs). Landsat thematic mapper (TM) (2007) enhanced thematic mapper plus (ETM+) (2016), and operational land imager (OLI) (2023) image data were utilized for LULC change analysis and used as input in MOLUSCE simulation to predict future LULC changes for 2047, 2073, and 2100. The predictive capacity of the model was evaluated using performance evaluation metrics such as Nash–Sutcliffe Efficiency (NSE), the coefficient of determination (R2), and percent bias (PBIAS). The bias correction and downscaling of CMIP6 GCMs was performed via CMhyd. According to the present study’s findings, rainfall will drop by up to 24% in the 2020s, 2050s, and 2080s while evapotranspiration will increase by 21%. The findings of this study indicate that in the 2020s, 2050s, and 2080s time periods, the average annual Tmax will increase by 5.1, 7.3, and 8.7%, respectively under the SSP126 scenario, by 5.2, 10.5, and 14.9%, respectively under the SSP245 scenario, by 4.7, 11.3, and 20.7%, respectively, under the SSP585 scenario while Tmin will increase by 8.7, 13.1, and 14.6%, respectively, under the SSP126 scenario, by 1.5, 18.2, and 27%, respectively, under the SSP245 scenario, and by 4.7, 30.7, and 48.2%, respectively, under the SSP585 scenario. Future changes in the annual average Tmax, Tmin, and precipitation could have a significant effect on surface and subsurface hydrology, reservoir sedimentation, hydroelectric power generation, and agricultural production in the OGRB. Considering the significant and long-term effects of climate and LULC changes on surface runoff, evapotranspiration, and groundwater recharge in the Omo–Gibe River Basin, the following recommendations are essential for efficient water resource management and ecological preservation. National, regional, and local governments, as well as non-governmental organizations, should develop and implement a robust water resources management plan, promote afforestation and reforestation programs, install high-quality hydrological and meteorological data collection mechanisms, and strengthen monitoring and early warning systems in the Omo–Gibe River Basin.

28 October 2022 in Geology, Ecology, and Landscapes
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Journal Article
Open access
Tamirat SolomonTamirat Solomon
Tamirat Solomon
PDPaulos Lukas Debissa
Paulos Lukas Debissa
Evaluation of land use change is important for understanding the relationship between nature and the future policy design in sustainable natural resources management. In this study the dam-triggered land use cover changes since the time of its commencement of construction was evaluated by using satellite remote sensing and GIS techniques. To detect changes between 2011 and 2021, the post-processing technique was applied using QGIS’s SCP tool and two raster images of 2011 and 2021 as inputs for change simulation and the output classes were edited using reference classes. The study results revealed that the overall accuracy for the 2011 classification and 2021 classification was 0.89 (89%) and 0.94 (94%) respectively. The highest conversion was recorded between agricultural land to the mixed forest (14.61%) and mixed forest to shrub land (13.40%), while the lowest conversion was observed between the built-up area to a water body (0.02%) and to agricultural land (0.1%). It was recommended to consider the correlation between forest biodiversity conservation and the sustainability of hydroelectric dam by increasing restoration of degraded forests in the GERD catchment and growing forest cover should be viewed as an issue of national energy security as early as possible.