One of the recent advances in climate science research is the development of global general circulation models (GCMs) to simulate changes in climatic elements of the present and future, which helps us to determine consequences earlier and prepare for necessary adaptation measures. However, it is difficult to apply the raw data of GCMs at a local scale, such as the urban scale, without downscaling due to coarse resolution. This study, therefore, statistically downscaled daily maximum temperature, minimum temperature, and precipitation in 30-year intervals from the second generation of the Earth System Model (CanESM2) and Coupled Global Climate Model (CGCM3) under two Representative Concentration Pathways (RCP) Scenarios (RCP4.5 and RCP8.5) and two Special Report Emission Scenarios (SRES), A1B and A2, to examine future changes and their extremes. Two representative meteorological stations (Entoto at high elevation and Addis Ababa at downtown and medium elevation) were selected for model calibration and validation in the Statistical Downscaling Model (SDSM). Twelve core temperature and precipitation indices were selected to assess temperature changes and precipitation extremes. For the largest changes the results showed that the maximum temperature increases were in the range of 0.9 °C (RCP4.5) in 2020 to 2.1 °C (CGCM3A2) in 2080 at Addis Ababa Observatory. The minimum temperature is projected to increase by 0.3 °C (RCP4.5) in 2020 and 1.0 °C in 2080 (CGCM3A1B). While the changes in maximum temperature are lower at Entoto station compared to Addis Ababa Observatory, the highest minimum temperature change is projected at Addis Ababa Observatory, which ranges from 0.25 °C in the 2020s to 1.04 °C in 2080 according to the CGCM3 model. Except for the coldest nights (TNn), the mean temperature and other temperature indices will continue to increase to the end of this century. The highest precipitation change is projected by CGCM3A2 and CanESM2 RCP8.5 at an increase of about 11.8% and 16.62% by 2080. The highest total precipitation increase is 29% (RCP4.5) in winter and 20.9% (RCP8.5) in summer by 2080. There is high interseasonal variability in changes of extreme events. The topographic role will diminish in influence on the air temperature distribution due to the high rate of urbanization. The rise in temperature will exacerbate the urban heat highland effects in warm seasons and an increase in precipitation is expected along with a possible risk of flooding due to a low level of infrastructure development and a high rate of urbanization.

Climate change is an intricate global environmental concern. However, its impact is more pervasive in developing nations such as Ethiopia. Hence, this manuscript examines temperature variability and the magnitude of change over 38 years in the specific case of Addis Ababa, Ethiopia. Gridded meteorological data consisting of minimum and maximum temperatures on a monthly time scale ranging from 1981 to 2018 was obtained from the National Meteorological Agency of Ethiopia. The coefficient of variation (CV) and standardized anomaly index (SAI) were used to examine the rate and extent of temperature anomalies. Geostatistical models, particularly ordinary kriging, are presented as a means of spatially interpolating temperature data. Modified Mann-Kendall test (MMK), Sen's Slope (SS) estimator, principal component analysis (PCA), and T-test were employed to determine the monthly, annual, and seasonal trends using Geospatial technologies, “R” programming, and statistical software. The findings revealed substantial spatial and temporal variation in Addis Ababa’s annual and seasonal maximum and minimum temperatures. The long-term mean annual maximum and minimum temperatures were 25.8 °C and 12.6 °C, respectively. The monthly, annual, and seasonal temperatures accrued significantly except in the months of January and September. It is noteworthy that the decadal maximum temperature has risen by 2.7 °C, while minimum temperatures have displayed comparatively minor fluctuations. Moreover, the findings also exhibited that the average maximum and minimum temperatures increased by 1.88 °C and 1.72 °C, correspondingly and the highest temperature occurred during the spring (Belg) season. The first two PCAs (Annual and Kiremt Tmax) account for 90% of the temperature variation. In conclusion, the findings underscore the pressing need for the implementation of climate adaptation strategies and policy measures, which can strengthen the city’s resilience to imminent climate change-induced hazards. The mounting temperature presents substantial challenges across various sectors within the city, emphasizing the urgency of preemptive actions to mitigate potential repercussions.

In the fight against soil erosion, Ethiopia has a formidable obstacle. The Awash River Basin issue is addressed in this paper. Soil loss and the sediment transport index (STI) in the Awash River Basin were predicted using GIS and the Universal Soil Loss Equation (USLE) Model. Using the Universal Soil Loss Equation (USLE) in conjunction with Geographic Information System (GIS) and remote sensing technologies, this study evaluates the spatial distribution and intensity of soil erosion in the basin. The result of annual average soil loss shows a significant range from 0–31,049,739 t/h/y after analyzing of various soil, DEM, topographical and meteorological data, obtained from USGS and EMA. The broader implications of this finding are highlights the significant capacity of land management potential in study area. The result of sediment transport index which computed based on flow accumulation and slope gradients, ranges from 0–247,097. The finding stipulates that considerable increment of soil loss and sedimentation in the study area, and promote for implementing reforestation and contour farming, to mitigate potential erosion’s impact. Hence, sustainable erosion mitigation strategies in the upper part of the basin should to be considered. Furthermore, this study emphasizes how important land use patterns, erodibility of soil, and erosivity of rainfall are associate in exacerbating of erosion. This information is significant for conservation and the development of sustainable agricultural frameworks. In portions of the study Basin that are prone to soil loss and sediment deposition, sustainable erosion management measures according to topography and current land use types are strongly recommended.

In Ethiopia, the flourishing of industrial parks in the suburbs of major urban centers is a recent phenomenon. The outbreak of COVID-19 has had an adverse impact on the emerging industrial parks and prospects of cluster cities. The aim of this article is to explore the different urban planning measures employed during the pandemic and to propose sound planning methods for the development of sustainable industrial-oriented urban centers. In Ethiopia, industrial-oriented urbanization started in the 1920s with the advent of the railway line. Currently, more than 25 industrial park-based cluster cities have flourished adjacent to cities. A number of initiatives have been undertaken by major stakeholders in these cluster cities to combat COVID-19. Their efforts, however, were made difficult because urban planners were not proactive and did not have foresight in the selection of sites that can mitigate the impact of COVID-19 or other similar pandemics. The researchers believe the problem could have been addressed if the planners used a science-based, human-focused, computer-aided decision-making approach, i.e., space syntax. Therefore, this article recommends that planners become proactive and work in collaboration with different stakeholders for the creation of resilient and livable industrial parks-oriented urban centers.

Addis Ababa is a metropolitan area faced with the challenges of Ethiopia’s urbanization, such as poverty, unemployment, informal settlements, an acute housing shortage, and environmental hazards. Yet, the non-practicality of area-based policy using the Multiple Deprivation Index (MDI) exacerbates the polarization of poverty and spatial inequality to create a divided city. The study developed the MDI for 2007 and 2016. The study’s objective was to justify the area-based policy by analyzing the overlaps of deprivations based on the relationship of pertinent indicators and components, the spatial pattern of inequality and deprivations, and the relationship of deprivation with population size and density. The findings of the study were triangulated and validated with the deductive theoretical, empirical, and SDG frameworks to replicate external validity. The research design included both descriptive and correlational methods. The inductively derived pattern using PCA (principal component analysis) and LISA (local spatial association index) of MDI components revealed spatial inequality and poverty polarization. The index of concentrated poverty was revealed by global spatial autocorrelation. The statistical and spatial trend analysis revealed concentrated poverty, especially in the inner-city slums and the peri-urban informal settlements. Most of the findings conformed to deductive theoretical and SDG frameworks, while the analysis of MDI indicators and components revealed additional slum indicators and the relevance of integrating other SDG indicators with SDG 11 for realizing sustainable urbanization. Due to spatial inequality, patterns of concentrated poverty, a large, deprived population, and easing future urbanization challenges, the study rationalized area-based policy for reducing inequality and poverty polarization.