Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 136, P. 103762 - 103762
Published: Oct. 9, 2024
Language: Английский
Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 136, P. 103762 - 103762
Published: Oct. 9, 2024
Language: Английский
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102997 - 102997
Published: Sept. 1, 2024
Language: Английский
Citations
13Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28184 - e28184
Published: March 26, 2024
The objective of the study was to examine local-scale fluctuation in precipitation and temperature selected districts Sidama regional state. Specifically, it focuses on three districts—Hawassa Zuriya, Wonsho, Hula—using records obtained from Climate Hazards Group Infrared Precipitation with Station (CHIRPS) database which covers period 1981 2022. Various statistical measures such as mean, standard deviation, well coefficient variation employed detect fluctuation. For trend detection, Mann-Kendall (MK) Sen's slope tests were also employed. Observations revealed that average yearly spatially varied 1331 mm Hula, followed by 1275 1013 at Hawassa Zuriya. Rainfall bimodal 53% rains Kiremt 33% Belg season respectively. Annual rainfall show relatively low variability (<20%) for Hula Wonsho districts, moderate (CV˃20%) Zuriya findings noticeable rising tendencies (p < 0.05) across all agroecosystems over years under consideration highest (0.038 °C/year), (0.031 (0.022 °C/year) respectively.Moreover, both exhibited spatial inter-annual variability. results this necessitate farmers systematic planning implementing location specific crop calendar context fluctuating climatic settings. Policy-makers development practitioners can utilize finding better devise execute plans adapting minimizing effects climate change.
Language: Английский
Citations
6Heliyon, Journal Year: 2024, Volume and Issue: 10(6), P. e27116 - e27116
Published: March 1, 2024
Climate change is an intricate global environmental concern. However, its impact more pervasive in developing nations such as Ethiopia. Hence, this manuscript examines temperature variability and the magnitude of over 38 years specific case Addis Ababa, Gridded meteorological data consisting minimum maximum temperatures on a monthly time scale ranging from 1981 to 2018 was obtained National Meteorological Agency The coefficient variation (CV) standardized anomaly index (SAI) were used examine rate extent anomalies. Geostatistical models, particularly ordinary kriging, are presented means spatially interpolating data. Modified Mann-Kendall test (MMK), Sen's Slope (SS) estimator, principal component analysis (PCA), t-test employed determine monthly, annual, seasonal trends using Geospatial technologies, "R" programming, statistical software. findings revealed substantial spatial temporal Ababa's annual temperatures. long-term mean 25.8 °C 12.6 °C, respectively. accrued significantly except months January September. It noteworthy that decadal has risen by 2.7 while have displayed comparatively minor fluctuations. Moreover, also exhibited average increased 1.88 1.72 correspondingly highest occurred during spring (Belg) season. first two PCAs (Annual Kiremt Tmax) account for 90% variation. In conclusion, underscore pressing need implementation climate adaptation strategies policy measures, which can strengthen city's resilience imminent change-induced hazards. mounting presents challenges across various sectors within city, emphasizing urgency preemptive actions mitigate potential repercussions.
Language: Английский
Citations
5Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33235 - e33235
Published: June 19, 2024
Understanding the spatiotemporal dynamics of climatic conditions within a region is paramount for informed rural planning and decision-making processes, particularly in light prevailing challenges posed by climate change variability. This study undertook an assessment spatial temporal patterns rainfall trends across various agro-ecological zones (AEZs) Wolaita, utilizing data collected from ten strategically positioned rain gauge stations. The detection their magnitudes was facilitated through application Mann–Kendall (MKs) test conjunction with Sen's slope estimator. Spatial variability were further analyzed ArcGIS10.8 environment XLSTAT R programming tools. outcomes derived ordinary kriging analyses unveiled notable disparities coefficient (CV) mean annual distinct AEZs. Specifically, observations indicated that lowland regions exhibit relatively warmer climates lower precipitation levels compared to highland counterparts. Within AEZs, majority stations showcased statistically non-significant positive (p > 0.05) rainfall, whereas approximately two-thirds midland AEZ depicted negative trends. Conversely, over half situated AEZs displayed rainfall. During rainy season, experienced higher levels, while south-central areas received moderate amount In contrast, northeast southeast consistently diminished all seasons other regions. underscores necessity resilient development implementation spatiotemporally interventions implementing region-specific adaptation strategies, such as water conservation measures crop diversification, mitigate potential impact changing on agricultural productivity Wolaita.
Language: Английский
Citations
5Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)
Published: Sept. 2, 2024
Agriculture in Ethiopia is highly dictated by spatial patterns and temporal distributions of climate variables. The analysis these variables crucial for understanding the impacts on agricultural productivity. This study aimed to analyze spatiotemporal variability trends intra-seasonal rainfall temperature using site-specific daily data from Ethiopian Meteorology Institute (1992–2021). Standardized methods explore variability, while Mann–Kendall tests identify trends, Modified version with autocorrelation. Inverse Distance Weighted interpolation was employed rainfall, length growing season, temperature. findings identified that Kiremt dominated mono-modal pattern, contributing 72%-86% total annual rainfall. found season typically begins early June 13 Adiszemen, July 6 Arbgebiya ends between October 26. duration varied across locations, averaging 95 days at Ebenat 148 Adiszemen. seasonal anomaly index shows identical ENSO episodes These inform decision-making adaptation strategies ENSO-driven variability. Temperatures showed predictable patterns, but have significantly increased over time, maximum minimum temperatures rising 0.014 °C 0.421 0.027 0.485 per year respectively. warming trend negatively impacting water, crops, livestock, requiring measures build regional resilience. underscores critical impact agriculture area. reveal shifts providing essential insights adapting practices.
Language: Английский
Citations
4Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 8
Published: Jan. 20, 2025
Introduction Foodborne diseases that result from a wide range of illnesses caused by contaminated foods remain challenge in least-developed countries. The objective this study was to evaluate microbial quality and safety milk cottage cheese spatial distribution indicators foodborne pathogens along the dairy value chain three regions country. Methods A cross-sectional conducted December 2020 May 2021. total 912 samples were collected tested for aerobic plate count, coliform Escherichia coli Listeria monocytogenes , Salmonella enterica Campylobacter spp., according standard methods enumerations isolation procedures. Results Microbial found poor quality, as bacteria count estimated be 98% (95% CI 97.2–98.9%), 61.2% 58–64.3%), 28.6% 25.8–31.6%), respectively. load exceeded limits set Ethiopian Standards Agency. overall prevalence at least one pathogen 50.3% 47.1–53.7%), indicating raw collectors predominantly (OR = 2.1, p 0.003), followed processors 1.3, 0.003). Discussion analysis revealls standards concentrated central highlands Ethiopia, within nearly 100 kilometers radius Addis Ababa city surrounding towns. This offers some insight into importance food traceability prevent threats intervention areas.
Language: Английский
Citations
0Heliyon, Journal Year: 2025, Volume and Issue: unknown, P. e42265 - e42265
Published: Jan. 1, 2025
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105433 - 105433
Published: May 1, 2025
Language: Английский
Citations
0Environmental Challenges, Journal Year: 2024, Volume and Issue: 15, P. 100883 - 100883
Published: March 1, 2024
Daily gridded rainfall dataset with 0.04° spatial resolution, which is gauge-satellite merged product, for the period 1983–2018 was used to evaluate changes in spatiotemporal behavior of amount, precipitation concentration index (PCI) and extreme event indices over central Ethiopia that shares common water system challenges, thus referred as a problemscape. Twelve precipitation-related developed by Expert Team on Climate Change Detection Indices (ETCCDI) were used. The results show displays complex variability, mean indicate mix increasing decreasing different parts A major conclusion from findings variability highly complex, hence high resolution monitoring analysis important monitor local scale manifestations climate change design locally-relevant adaptation interventions. study provides useful insights planning decision making water, agriculture other sectors area.
Language: Английский
Citations
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