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  • 标题:Modelling the Spatial Variation of Hydrology in Volta River Basin of West Africa Under Climate Change
  • 本地全文:下载
  • 作者:Sulemana Abubakari ; Xiaohua Dong ; Bob Su
  • 期刊名称:Nature, Environment and Pollution Technology
  • 印刷版ISSN:0972-6268
  • 出版年度:2017
  • 卷号:16
  • 期号:4
  • 语种:English
  • 出版社:Technoscience Publications
  • 摘要:Spatial variability in Volta basin’s climate coupled with climate change increases unpredictability andunreliability of rain-fed agriculture, putting livelihoods of the inhabitants under severe risk. Thoughthere have been numerous studies on the hydrological response of the basin to climate change, onlya few have dealt into its spatial variation. To fill up the existing gap, the spatial variation of hydrologyof Volta basin under projected impacts of climate change is investigated using high resolution (0.3°~3km) National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR)data as observational data, Global Climate Model HadCM3, IPCC A1B emissions scenario and Soil, andWater Assessment Tool (SWAT). Calibration results from flow stations Dapola (R2 =0.74, NSE=0.72),Nawuni (R2 =0.86, NSE=0.88), and Bamboi (R2 =0.82, NSE=0.80) show reasonable simulation of thebasin’s hydrology, in general. Overall the simulation indicates higher spatial variability, with variabilitymuch higher at the end of the century (2071-2100). There is a greater average increase in rainfall andsurface runoff in northern catchments compared to the south with average potential evapotranspirationand evapotranspiration much higher in southern catchments compared to the north. Contrary toprojected increase in rainfall in the basin, some sub-basins in north and south show a decrease.Decrease ranges from 2% to 10%, whilst increase in surface runoff is in the range of 16% to 76% insome sub-basins is far greater than the basin-wide range of increase i.e., 9% to 14%. This mightimpact negatively on the rain-fed agriculture and also intensify flood events, respectively, in thesesub-basins. There is, therefore, a call for a decentralized approach in the basin’s water resourcesmanagement that incorporates the spatial variability of the hydrologic cycle into local climate changeadaptation mechanisms.
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