过去三十年贡贝州的x射线降雨模式

Y. Ahmad, Y. Ibrahim
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引用次数: 7

摘要

在这项工作中,分析了贡贝站1977-2008年的月和日降雨量记录,图姆站1965 - 1997年的月和日降雨量记录,以及该州其他9个站点的月和日降雨量记录,以描述降雨季节、持续时间、降雨日数以及每个给定雨季的降雨量的变化。分析资料发现,研究区北部雨季的开始和结束大约有14 ~ 21天的延迟。同样,两部分研究区的降雨日数和降雨量在相关时也有显著差异。比利亚里站(09 ~ 51°50°)降水持续36 ~ 59天,冈贝南部年平均降雨量为684.56mm;北部杜库站(10 ~ 36°15°)降水持续17 ~ 55天,冈贝南部年平均降雨量为650.27 mm。该州南部地区(受高地等因素影响)的雨季平均持续时间为6-8个月,而北部的半萨赫勒地区的雨季平均持续时间仅为4-6个月。这也表明雨季的持续时间随着纬度的增加而逐渐减少。在MATLAB环境下,对各站点的总降雨量与降雨日数进行相关性分析;相关系数结果表明,研究区各站点的降雨量与降雨日数之间存在相关性。不同自由度的相关系数(表9即n-1)如下:Gombe 0.1506;Billiri 0.2559;喀布0.7053;Talasse 0.0372;Kaltungo 0.6189;Dukku 0.5122;Bajoga 0.6929;Nafada 0.3549;Deba 0.5281, Tumu 0.1293。学生t检验的结果是,学生对十个站点中的五个站点的检验在1%和5%的置信度水平下没有显示出显著的关系。这些车站是比利里、德巴、贡贝、纳法达、塔拉塞和图姆。另一方面,其余的监测站,即巴约加、杜库、卡尔通戈和库莫,确实显示出关系。因此,该研究证实了降雨量随时间和空间的变化而变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
X-Raying Rainfall Pattern In Gombe State Over The Last Three Decades
In this work, monthly and daily rainfall records of 1977-2008 for Gombe station and that of Tumu which covers the period of 19651997 as well as that of the other nine stations across the state were analyzed to describe changes in rainfall seasons, duration, number of rain days as well as the amounts of rainfall received per a given rainy season. It was observed from the data analyzed that there was delay in the starts and ends of rainy seasonin the northern parts of the study area of about 14 to 21 days. In the same vein, the numbers of rainy days as well as the amount of rainfall received in the two parts of the study area vary significantly when correlated. For example, rains lasted for about 36-59 days at Billiri station (lat 09 o 51 ́50 ̋) with 684.56mm mean annual rainfall in the southern Gombe, while Dukku(10 o 36 ́15 ̋) in the northern part showed 17-55 rainy days with 650.27mean annual within the same period. The average duration of the rainy season in the southern parts of the state (which is influenced by highland among other things) had 6-8 months, while that of the semi-Sahel area by the north was found to be only between 4-6 months. This also indicates that the duration of rainy season steadily decreases with increase in latitude. When the total rainfall was correlated with the number of rainfall days of all the stations using Matrix Laboratory (MATLAB) environment; the results of the correlation coefficient indicated that there was correlation between the rainfall amounts and the number of rainfall days across all the stations in the study area. The correlation coefficients even though with varying degrees of freedom (Table 9 i.e. n-1) are as follows: Gombe 0.1506; Billiri 0.2559; Kumo 0.7053; Talasse 0.0372; Kaltungo 0.6189; Dukku 0.5122; Bajoga 0.6929; Nafada 0.3549; Deba 0.5281 and Tumu 0.1293. The results of the Student t-test is such that the Student’s ttest of the five stations out of the ten did not show significant relationships at 1% and 5% levels of confidence. These stations are Billiri,Deba, Gombe, Nafada, Talasse and Tumu. On the other hand, the remaining stations i.e. Bajoga, Dukku, Kaltungo and Kumo did show relationships. Hence, the study confirms that rainfall amounts vary over space and time.
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