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Characterisation of Hydrological Drought and Implications for Sustainable Water Resources Management in the Sokoto-Rima River Basin (SRRB), Nigeria

Characterisation of Hydrological Drought and Implications for Sustainable Water Resources Management in the Sokoto-Rima River Basin (SRRB), Nigeria

作     者:Martins Yusuf Otache Onemayin David Jimoh John Jiya Musa Abdullahi Danmagaji Martins Yusuf Otache;Onemayin David Jimoh;John Jiya Musa;Abdullahi Danmagaji

作者机构:Department of Agricultural & Bioresources Engineering Federal University of Technology Minna Nigeria Department of Civil Engineering Federal University of Technology Minna Nigeria Sokoto-Rima River Basin Development Authority Sokoto Nigeria 

出 版 物:《Open Journal of Modern Hydrology》 (现代水文学期刊(英文))

年 卷 期:2020年第10卷第3期

页      面:65-79页

学科分类:08[工学] 081501[工学-水文学及水资源] 0815[工学-水利工程] 

主  题:Hydrological Drought Water Resources Sustainability Management Climate Change 

摘      要:Hydrological drought is usually characterised by water loss over time from both underground and surface supplies. Thus for this study, the assessment of hydrological drought was carried out by employing Cumulative Rainfall/Streamflow Anomaly as preliminary tools for the presence of drought signatures while detailed characterisation was via Streamflow Drought Index (SDI). The results revealed that hydrological drought was observed in all the stations;however, though in general, the stations could be classified as experiencing near normal drought conditions with mild drought signatures. The findings also revealed that the average streamflow deficit volume and durations of the hydrological drought severity were 1.780 Mm3 and 192 months, 1.444 Mm3 and 252 months, 3.148 Mm3 and 252 months, and 0.159 Mm3 and 372 months for Bakolori, Goronyo (pre dam construction era), Goronyo (post dam construction era) and Zobe stations, respectively. The results also revealed the relevance of flow duration curve and analysis of frequency of drought state transition for the development of scenario-based basin water resources management protocol. The coefficient of determination (R2) statistic of the developed regression models indicate that 73.3% and 86.5% variation in streamflow dynamics across the Basin can be explained by climate change variables. However, for sustainable management of water resources in the Basin, it is imperative that characterisation of hydr

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