Climatic Variability and Estimation of Supplementary Irrigation Water Needs of Selected Food Crops in the Sokoto-Rima River Basin, Nigeria

C. Emeribe, E. T. Ogbomida, J. O. Enoma-Calus
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引用次数: 3

Abstract

The study investigated the effects of rainfall and temperature variability on crop water requirements of selected food crops in the Sokoto-Rima River Basin, Northwest of Nigeria. Rainfall and temperature datasets were obtained from the Climatic Research Unit (CRU) TS 3.21 of the University of East Anglia, Norwich, for a period of 70 years (1943-2012). The suitability of CRU datasets were verified by correlating the datasets with measured rainfall data of Yelwa synoptic station, from the Nigerian Meteorological Agency. Selected food crops were used for estimating supplementary irrigation water needs in the River basin. Results of Mann-Kendal, Spearman’s Rho and linear regression tests showed strong evidence of increasing annual temperature and potential evapotranspiration with corresponding decrease in rainfall amounts, especially in the northern parts of the basin which houses big irrigation projects and dams such as the Goronyo Irrigation and the Bakolori Dam and Bakolori Irrigation Project. This will impact on the water availability within the basin, through reduction in surface and ground water supply for ongoing irrigation and other water resources projects. Water requirements for selected crops were modeled to ascertain crop sensitivity to climatic variability which will aid in the design of supplementary irrigation water needs models. Results showed that even in the rainfall months, supplementary irrigation of varying quantity is required to complement rainfall, most especially, in the northeast of the basin. Surprisingly, the month of May which marks commencement of rainfall, recorded the highest water need and this has implication for agriculture yields in the region.
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尼日利亚Sokoto-Rima河流域特定粮食作物补充灌溉用水需求的气候变异和估算
该研究调查了降雨和温度变化对尼日利亚西北部Sokoto-Rima河流域选定粮食作物需水量的影响。降雨和温度数据集来自诺里奇东安格利亚大学气候研究中心(CRU) TS 3.21,时间跨度为70年(1943-2012)。通过将CRU数据集与尼日利亚气象局Yelwa天气站的实测降雨数据进行对比,验证了CRU数据集的适用性。选定的粮食作物用于估算流域补充灌溉用水需求。Mann-Kendal、Spearman’s Rho和线性回归检验的结果强有力地表明,年温度和潜在蒸散量的增加与降雨量的相应减少有关,特别是在拥有大型灌溉工程和水坝的盆地北部,如Goronyo灌溉、Bakolori大坝和Bakolori灌溉工程。这将影响流域内的水供应,因为正在进行的灌溉和其他水资源项目的地表水和地下水供应减少。对选定作物的需水量进行建模,以确定作物对气候变化的敏感性,这将有助于设计补充灌溉用水需求模型。结果表明,即使在降雨月份,也需要不同数量的补充灌溉来补充降雨,特别是在流域东北部。令人惊讶的是,降雨开始的5月份记录了最高的需水量,这对该地区的农业产量产生了影响。
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