2013
DOI: 10.4236/ojmh.2013.33015
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Climate Change Impact on Sub-Surface Hydrology of Kaduna River Catchment

Abstract: This paper applied the use of a stochastic weather generator at the site of a hydrological model to simulate the impact of climate change on the sub-surface hydrological response of Kaduna River as a basis for a sustainable ground water development plan. Average time series of rainfall, temperature and gauge height observed readings were downscaled to the watershed flow volume and applied as forcing to simulate the ground water response as spatially lumped, ignoring the heteroge… Show more

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Cited by 7 publications
(3 citation statements)
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“…Globally, the anticipated changes in runoff varied regionally, with water availability decreasing in some locations but increasing in others [KUNDZEWICZ et al 2008;SCHEWE et al 2014]. Studies in Kaduna River basin indicate an increase in the magnitude and frequency of flooding events and increase in runoff potential of aquifers [HARUNA et al 2013]. Nonetheless, few attempts have been made to deal with the changing climate and their large-scale impacts on runoff.…”
Section: Introductionmentioning
confidence: 99%
“…Globally, the anticipated changes in runoff varied regionally, with water availability decreasing in some locations but increasing in others [KUNDZEWICZ et al 2008;SCHEWE et al 2014]. Studies in Kaduna River basin indicate an increase in the magnitude and frequency of flooding events and increase in runoff potential of aquifers [HARUNA et al 2013]. Nonetheless, few attempts have been made to deal with the changing climate and their large-scale impacts on runoff.…”
Section: Introductionmentioning
confidence: 99%
“…The monthly, seasonal, annual and decadal trends of seven hydro meteorological variables were analysed by [11] for stations in Akwa Ibom State Nigeria, at the 5% statistical significance level, the non-parametric M-K and Sens Slope estimator were used to detect if there was a positive or negative trends and the magnitude of the trends, revealed the consistency of performance in detecting the trends of the hydro meteorological values. The M-K test is recommended by the World Meteorological Organization for detecting trends in a set of hydrological data [12,13]. It is also known for it strong consistency and appropriate to time series data [13].…”
Section: Introductionmentioning
confidence: 99%
“…Especially during recent years, the dynamic evolution of river flows has become a very interesting area since it is influenced by many changes in the climate system. Significant research has been devoted to this purpose, including methods such as the generation of stochastic precipitation models under current and changed climate conditions [1], parameter estimation and uncertainty analysis [2], hydrological models that simulate the impact of climate change on the sub-surface of a river [3] and statistical methods [4][5][6]. Moreover, there are methods developed by solving stochastic differential equations describing the river dynamics in state space form [7], studies based on fractal geometry detecting correlations [8] or using Fourier spectral analysis of daily inflows, outflows and water levels in river dam reservoirs [9].…”
Section: Introductionmentioning
confidence: 99%