Quantification of effects of climate change on flood in tropical river basins. Issue 1 (1st January 2021)

• Record Type: Journal Article
• Authors: Ekwueme, Benjamin Nnamdi
• Editors: Khan, Mohd Yawar Ali
• Is Part Of: Cogent engineering. Volume 8:Issue 1(2021)
• Publication Date: 2021-01-01
• Subjects: climate change -- model -- flood -- hydrology -- drainage lines -- geology; Engineering -- Periodicals; Technology -- Periodicals; Engineering; Technology; Periodicals; 620
• DOI: 10.1080/23311916.2021.1986967
• Languages: English
• ISSNs: 2331-1916

Abstract

Abstract: Over the past two decades, southeastern Nigeria has witnessed huge economic losses due to severe flooding caused by climate change. Understanding the contribution of climate change to flooding is critical for runoff utilization and control, especially in the tropics. This study is focused on quantifying the amount of flooding contributed by climate change effects in the River Basin of southeastern Nigeria. First, the Climate-Flood model equation was expressed using the Time-Series Autoregressive model technique. Using Minitab software, mean annual values of contributing climate variables from prolonged periods of recorded data were investigated. Runoff predictions made from climate-flood models using only the annual records of climatic variables were filtered from the resultant of the respective annual climatic variables, and mean change in flood due to climate change. The output was analyzed considering geology, infiltration capacity, drainage lines and digital elevation model (DEM) of the area. The result shows the obvious trend in climatic variables consistently generates significant impact on the flood. Owerri had the highest positive change in evaporation of 0.11% with a rainfall of 0.03%. Awka had the highest change in sunshine hours and rainfall of 0.41%. Umuahia had the highest change in solar radiation of 0.08, while Enugu had the highest change in air temperature of 0.12. When the contribution of climate change to runoff variation was quantified, Enugu shows highest with 1.68 m 3 /s while Owerri has 0.04 m 3 /s. This knowledge is necessary in designing hydrological structures and formulating policies that will help prevent/mitigate flood disasters in the region.