Groundwater is the world’s primary source of fresh water. However, groundwater resources in the basement complex region, such as Nigeria, have been overstressed due to excessive abstraction, and the rate of groundwater replenishment is declining as a result of climate change. Thus, this study investigated the influence of climate change on groundwater recharge scenarios. Twenty years of data on climatic records were collected from the Nigeria Meteorological Agency of Nigeria (NIMET), Abuja. The data was sorted into annual and average records and were inserted into the empirical formulas to obtain the groundwater recharge, surface runoff, evapotranspiration, and recharge coefficient. The influence of the climatic change on the groundwater variables was investigated using the multiple regression analysis (MANOVA) models of the Paleontological Statistics 4.13 software and a model was developed. The descriptive statistics of the data revealed the highest maximum temperature (33.3 °C) in 2019, minimum temperature (22.5 °C) in 2005, relative humidity (88.63%) in 2008, sunshine (5.85 h) in 2011, wind (4.69 knots) in 2016, Evapotranspiration (1310.28 mm) in 2008 and annual rainfall (1692 mm) in 2010. The lowest climatic variables (max temp (30.8 °C), min temp (20.4 °C), relative humidity (69.63%) sunshine (5.18 h), wind (3.14 knot), annual rainfall (1014.7) and evapotranspiration (1204.14) were reported in 2005, 2020, 2011, 2011, 2001, 2001 and 2012, respectively. The corresponding highest values of groundwater recharge and direct runoff from rainfall are 248.75 mm and 907.39 mm, respectively in 2010 while the highest value of recharge coefficient was 23.92 in 2006. The multivariate multiple regression analysis separated the variables into dependent variables (groundwater recharge, direct runoff, and rainfall coefficient) and independent variables (Min and max temperature, humidity, sunshine, wind, annual rainfall, and evapotranspiration). The Wilks lambda value, P (regression), and F-static are 0.0006994, 6.979E-11, and 16.1, respectively for the overall MANOVA. The tests on independent variables show varying and high Wilki Lambda, P-values, and low F-static; (0.9081, 0.7989, 0.3372 for humidity, 0.701, 0.31,1.361 for sunshine, 0.8603, 0.6647, 0.5414 for wind, 0.8363, 0.5995, 0.6523 for min temp, 0.879, 0.717, 0.459 for max temp, 0.9266, 0.8498, 0.264 for evapotranspiration). The Wilki’s Lambda, P-value, and F-static for annual rainfall is (0.001775, 4.76E-14, 1875. The R² value for Groundwater recharge and direct runoff are 0.99 and 0.91, respectively while that of the recharge coefficient is 0.32. Collectively, there is a significant difference between the groundwater recharge and the climatic factors, and the model developed is significant. However, the individual influence of the climatic variables on groundwater resources is less significant, thus the only climatic factor contributing significantly to the groundwater recharge in the study area is rainfall. The percentage of rainfall contributing to the groundwater recharge is (15.63%) and this is very low for any resource sustainability. The groundwater recharge pattern in the study area has not changed reasonably but rainfall contribution has increased by 1%. Conservative measures and sustainable management practices should be put in place for future management of the resource.

地下水是世界淡水的主要来源。然而，尼日利亚等基底复杂地区地下水资源因过度抽取而紧张，且受气候变化影响，地下水补给率不断下降。因此，本研究调查了气候变化对地下水补给情景的影响。位于阿布贾的尼日利亚气象局 (NIMET) 收集了二十年的气候记录数据。将数据整理为年记录和平均记录，代入经验公式，得到地下水补给量、地表径流、蒸散量和补给系数。利用古生物统计4.13软件的多元回归分析（MANOVA）模型研究了气候变化对地下水变量的影响，并建立了模型。数据描述统计显示，2019年最高气温（33.3℃），2005年最低气温（22.5℃），2008年相对湿度（88.63%），2011年日照（5.85小时），风（4.69节） ），2016年蒸散量（1310.28毫米），2008年年降雨量（1692毫米），2010年年降雨量（1692毫米）。最低气候变量（最高温度（30.8°C），最低温度（20.4°C），相对湿度（69.63%）日照（ 2005年、2020年、2011年、2011年、2001年、2001年和2012年分别报告了风速（3.14节）、年降雨量（1014.7）和蒸散量（1204.14）。相应的地下水补给和直接径流最高值2010年降雨量分别为248.75毫米和907.39毫米，补给系数最高值为2006年23.92。多元多元回归分析将变量分为因变量（地下水补给、直接径流和降雨系数）和自变量（最小以及最高温度、湿度、日照、风、年降雨量和蒸散量）。整体多元方差分析的 Wilks lambda 值、P（回归）和 F-static 分别为 0.0006994、6.979E-11 和 16.1。对自变量的测试显示出不同且较高的 Wilki Lambda、P 值和较低的 F 静态值；（湿度为 0.9081、0.7989、0.3372，阳光为 0.701、0.31、1.361，风为 0.8603、0.6647、0.5414，最低温度为 0.8363、0.5995、0.6523，最高温度为 0.879、0.717、0.459，蒸散量为 0.9266、0.8498、0.264 ）。年降雨量的 Wilki Lambda、P 值和 F 静态值为 (0.001775, 4.76E-14, 1875。R ²地下水补给值和直接径流值分别为0.99和0.91，补给系数为0.32。总的来说，地下水补给与气候因素之间存在显着差异，所建立的模型具有显着性。但气候变量对地下水资源的个体影响不太显着，因此对研究区地下水补给贡献显着的唯一气候因素是降雨。降雨对地下水补给的贡献率为 (15.63%)，这对于任何资源可持续性来说都是非常低的。研究区地下水补给格局未发生合理变化，但降雨贡献增加了1%。应采取保守措施和可持续管理实践，以便今后对资源进行管理。