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埃塞俄比亚亚的斯亚贝巴基于网格的气候变异性分析。

Grid-based climate variability analysis of Addis Ababa, Ethiopia.

作者信息

Mekonnen Esubalew Nebebe, Fetene Aramde, Gebremariam Ephrem

机构信息

Computer Aided Design and Geoinformatics, EiABC, Addis Ababa University, Addis Ababa, Ethiopia.

Environmental Planning and Landscape Design, EiABC, Addis Ababa University, Addis Ababa, Ethiopia.

出版信息

Heliyon. 2024 Mar 8;10(6):e27116. doi: 10.1016/j.heliyon.2024.e27116. eCollection 2024 Mar 30.

Abstract

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 () season. The first two PCAs (Annual and 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.

摘要

气候变化是一个复杂的全球环境问题。然而,其影响在埃塞俄比亚等发展中国家更为普遍。因此,本手稿以埃塞俄比亚亚的斯亚贝巴为例,研究了38年间的温度变化及其变化幅度。从埃塞俄比亚国家气象局获取了1981年至2018年月尺度上的最低和最高温度的网格化气象数据。变异系数(CV)和标准化异常指数(SAI)用于检验温度异常的速率和程度。地统计模型,特别是普通克里金法,被作为空间插值温度数据的一种手段。采用修正的曼-肯德尔检验(MMK)、森斜率(SS)估计器、主成分分析(PCA)和T检验,利用地理空间技术、“R”编程和统计软件确定月度、年度和季节趋势。研究结果显示,亚的斯亚贝巴的年度和季节最高和最低温度存在显著的空间和时间变化。长期平均年最高和最低温度分别为25.8℃和12.6℃。除了1月和9月,月度、年度和季节温度均显著上升。值得注意的是,十年最高温度上升了2.7℃,而最低温度的波动相对较小。此外,研究结果还表明,平均最高和最低温度分别相应上升了1.88℃和1.72℃,最高温度出现在春季。前两个主成分(年度和Tmax)占温度变化的90%。总之,研究结果强调迫切需要实施气候适应战略和政策措施,以增强城市对即将到来的气候变化引发的危害的抵御能力。不断上升的温度给城市内的各个部门带来了重大挑战,凸显了采取先发制行动以减轻潜在影响的紧迫性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d49/10945141/b3a469d21d3d/gr1.jpg

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