Rainfall dynamics in the Sudano-Sahelian zone of Nigeria under RCP 8.5

Pub Date : 2022-11-30 DOI:10.12775/bgeo-2022-0007
O. Adegun, S. Odunuga
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Abstract

The study analysed the historical (1961–90) and projected rainfall variability for the rainy season expected in the near future (2021–50) at selected locations within the Komadugu-Yobe and Sokoto-Rima River Basins in the Sudano-Sahelian zone of northern Nigeria. Three models were utilised, and analyses were based on Representative Concentration Pathway (RCP) 8.5. Projected changes in mean, level of variability and distribution of rainfall were analysed using the Relative Percentage Change Method and the Precipitation Concentration Index (PCI), while the performance of the models was evaluated using the Nash–Sutcliffe Efficiency (NSE) index. The results show that changes in mean rainfall will be predominantly negative, with a minimum and maximum level of change of ˗1.02 per cent at Nguru, and ˗70.4 per cent at Jos, based on the IPSL-CM5A and HadGEM2-ES models, respectively. The rainy season of the baseline period varied between low and moderate variability, while the near future ranges between low and high levels of variability. The validation indicates acceptable levels of performance, with most values ranging between 0.0 and 1.0. The PCI for the near future suggests that the rainy season will be mainly characterised by uniform and near-uniform rainfall distribution. Hence, the projected negative changes and high variability of rainfall at some locations call for the development of an Adaptive Benefit Mechanism that will minimise future natural resource conflicts.
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rcp8.5下尼日利亚苏丹-萨赫勒地区的降雨动态
该研究分析了尼日利亚北部苏丹-萨赫勒地区komaduguu - yobe和Sokoto-Rima河流域内选定地点的历史(1961 - 1990年)和预测的近期(2021 - 1950年)雨季降雨变率。采用3个模型,基于代表性浓度路径(Representative Concentration Pathway, RCP) 8.5进行分析。使用相对百分比变化法和降水浓度指数(PCI)分析了平均、变异水平和降雨分布的预估变化,并使用纳什-苏特克利夫效率指数(NSE)评估了模型的性能。结果表明,根据IPSL-CM5A和HadGEM2-ES模型,平均降雨量的变化将以负变化为主,在Nguru和Jos的最小和最大变化幅度分别为——1.02%和——70.4%。基线期的雨季在低变率和中等变率之间变化,而不久的将来则在低变率和高变率之间变化。验证表明可接受的性能水平,大多数值在0.0和1.0之间。近期的PCI显示,雨季主要以均匀和接近均匀的降雨分布为特征。因此,一些地区预计的降雨量的负变化和高变率要求开发一种适应性利益机制,以尽量减少未来的自然资源冲突。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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