Rainfall Intensity Analysis for Synoptic Stations in Northern Nigeria

Oyegoke, S. O.; Adebanjo, Adeshina Samuel; Ododo, Hopewell James

doi:10.4314/njtd.v17i3.9

Cited by 3 publications

(3 citation statements)

References 21 publications

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“…Statistical tools were engaged to determine the seasonal spatial variations of the retrieved climate data. Oyegoke et al [13] indicated that statistical techniques of analysis are essential normally to precisely evaluate rainfall data for effective planning and for future forecasts regarding proficient and operative water resources management. The coefficient of variation (CV) was used to examine the extent of rainfall variation.…”

Section: Rainfall and Temperature Datamentioning

confidence: 99%

Rainfall and Temperature Variations in a Dry Tropical Environment of Nigeria

Edokpa

Ede

Diagi

et al. 2023

j. of atmos. sci. res.

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This study examines long-term rainfall and temperature variations over a dry tropical environment in Nigeria. An assessment of the variations of these weather variables showcases the extent of climate change limits and corresponding effects on the biotic environment. Rainfall and temperature data were obtained from Nigerian Meteorological Agency for a period of 31 years (1991-2020) for Kano and Katsina States. Descriptive statistics were used to determine the degree of variability of the weather variables across spatial domains. Results showed that there is a sharp contrast in mean annual rainfall amounts of 1154.1 mm and 569.6 mm for Kano and Katsina located in the dry continental and semi-arid climate zones of Nigeria respectively. It is revealed that the month of August had the highest mean monthly rainfall for both areas i.e. 359 mm and 194 mm with little or no trace during the dry season. The sharp difference in rainfall amount across spatial domains of the near similar climate zones shows that the Inter-tropical Discontinuity (ITD) does not completely overwhelm the northern band of Nigeria in August. The least variable monthly rainfall was in August and July with coefficient variations (CV) of 40% and 47% for Kano and Katsina. The months of February and March had the highest CV of 557% and 273% for the respective areas. In the examined areas the wet and dry seasons are from June-September and October-May respectively. The index of rainfall variability and drought intensity for the areas ranged from 0.85-0.95 and 45% indicating moderate variability and drought respectively. Mean annual temperature values are 33.4 °C and 33.8 °C for Kano and Katsina. The study recommends a proper climate observing scheme, most especially for agrarian practices so as to ensure profitable outputs for human sustainability.

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Section: Rainfall and Temperature Datamentioning

confidence: 99%

Rainfall and Temperature Variations in a Dry Tropical Environment of Nigeria

Edokpa

Ede

Diagi

et al. 2023

j. of atmos. sci. res.

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“…The rainfall-runoff processes can be simulated by several powerful models that synthesize distinct components (Adnan and Atkinson, 2012;Awadalla and Noor, 1991), such as evapotranspiration, infiltration, detention or depression storage, overland flow and finally stream flow. The slope and timing of the hydrograph from a given storm event, in a catchment, is a function of several physiographic factors, such as rainfall intensity and duration, size, slope, shape, storage and morphology of watershed, land use, and cover, soil type and imperviousness (McCuen, 1989;Basarudin et al, 2014;Oyegoke et al 2020). These factors influence streamflow in a basin.…”

Section: Introductionmentioning

confidence: 99%

Assessment of a New Dam Site for Water Supply Potential in Bauchi Metropolis, Nigeria

Salau¹,

Salaudeen²,

Gana³

et al. 2022

Nig. J. Technol. Dev.

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The maximum yield of 90,000 m3 /day from the existing Gubi dam in Bauchi will barely meet the water demand beyond 2030 at an average water use of 100 litres per capita/day. For higher water demand of up to 250 litres per capita/day expected in an urban centre, the existing dam capacity is inadequate, and the demand should grow to 253,102 m3/day by 2037. This is the rationale for this study, which showed the feasibility of a new dam through technical reviews and analysis of topography, hydrology of the site, field and laboratory investigations, computer analyses and designs. Hydrologic simulation of rainfall-runoff processes for 57 years of rainfall data using the Soil Conservation Service (SCS) method gave an annual runoff volume of 59 Mm3 on a stream in Miri, which can be harnessed to assure adequate water supply in the metropolis. This will require the construction of a 25 m high embankment dam. Topographic survey and analysis indicated that the proposed site has good water retention capability. Although net flow adjustment analysis showed a high evaporation loss of up to 13.5 Mm3 annually, seepage loss is expected to be small in view of the underlying basement complex rock formation.

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“…There is a compelling need for updating and reassessment of the IDF curves and equations on regular basis. A review of previous IDF studies at Oleh and it environ include Metibaye et al [2], Ologhadien and Nwaogazie [3], Oyegoke et al [4] and Nwaogazie et al [5]). The review shows that IDF curves/equation for Oleh municipality are not available and consequently will be developed.…”

Section: Introductionmentioning

confidence: 99%

Model Selection and Design of Storm Water Drainage Systems at Oleh, Delta State, Nigeria

Ologhadien

Esebene

2022

EJENG

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Rainfall Intensity-Duration-Frequency curves and equations present the exceedance probability of a given rainfall intensity and storm duration expected to occur at a particular location, for the design of storm water drainage systems and hydraulic structures. The aim of this study was to develop IDF curves/equations aim for Oleh, a municipality situated in the low-lying and flood prone region of Nigeria. The study was conducted using annual maxima rainfall series (ARMS) of 28 years obtained from Nigeria Meteorological Agency (NiMet). The AMRS were extracted into 15 Nos. storm durations between 10minutes and 600 minutes. The AMRS of each duration was fitted to Gumbel (EV1), LN2 and Normal (N) distributions using the K-S and A-D goodness-of-fit module of Easyfit software, Version 5.6. The graphical plots, development of IDF models and computations of performance measures of R2 NSE and RSR, were executed in Microsoft Excel, 2010. The results of GOF tests show that for K-S tests, Gumbel (EVI) is best-fit distribution in four durations, LN2 was best –fit in Nine out of fifteen durations, and Normal distribution durations scored 2. Similarly, for A-D GOF test, Gumbel (EVI) scored three (3), LN2 scored eleven (11), while Normal distribution scored one (1). Consequently, LN2 is the best-fit distribution, seconded by Gumbel (EVI). Accordingly, LN2 and Gumbel (EVI) distributions have been adopted in the development of the IDF models for Oleh municipality, while the performances of the IDF models may be presented the inequality; 0.984 ? R2 ? 0.998; 0.990 ? NSE ? 0.998 and 0.045 ? RSR ? 0.096. The graphical plots, IDF curves and models exhibited the peculiar attributes of IDF curves/equations reported in literature. The performance measures show that the equations are robust for practical application in the design of storm water drainage systems and hydraulic structures.

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Rainfall Intensity Analysis for Synoptic Stations in Northern Nigeria

Cited by 3 publications

References 21 publications

Rainfall and Temperature Variations in a Dry Tropical Environment of Nigeria

Rainfall and Temperature Variations in a Dry Tropical Environment of Nigeria

Assessment of a New Dam Site for Water Supply Potential in Bauchi Metropolis, Nigeria

Model Selection and Design of Storm Water Drainage Systems at Oleh, Delta State, Nigeria

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