Rainfall Frequency Analysis of Some Cities in Niger Delta Region of Nigeria
Rainfall frequency analyses for four cities namely Benin City, Port Harcourt, Calabar and Uyo in Nigeria's Niger Delta area were carried out utilizing daily rainfall data from the yearly maxima series for 48 years (1965 – 2012) at each location. The study's goal was to identify the probab...
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| Format: | Article |
| Language: | English |
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Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)
2024-03-01
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| Series: | Journal of Applied Sciences and Environmental Management |
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| Online Access: | https://www.ajol.info/index.php/jasem/article/view/267309 |
| _version_ | 1797228221149741056 |
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| author | A. I. Agbonaye O. C. Izinyon |
| author_facet | A. I. Agbonaye O. C. Izinyon |
| author_sort | A. I. Agbonaye |
| collection | DOAJ |
| description |
Rainfall frequency analyses for four cities namely Benin City, Port Harcourt, Calabar and Uyo in Nigeria's Niger Delta area were carried out utilizing daily rainfall data from the yearly maxima series for 48 years (1965 – 2012) at each location. The study's goal was to identify the probability distribution model that fit the data the best and applicable to each location from among six candidate probability distribution models namely: Pearson Type III (PIII), log Normal (LN), log Pearson Type III, Generalized Extreme value (GEV), Extreme value type I (EVI), and Generalized Pareto (GPA). The method of moments (MOM) was used to estimate the distributions' parameters applying the outcomes of seven goodness of fit tests, the most optimal fit distribution model was chosen for each site namely Root Mean Squared Error (RMSE), Relative Root Mean Square Error (RRMSE), Maximum Absolute Derivation Index (MADI), Chi–Square etc. The best distribution model at each location was utilized to predict rainfall of desired return periods. Based on our findings, PIII for Benin City, GEV for Port Harcourt, GEV for Calabar and EVI and LN for Uyo are the distribution models that suit the data the best., The Best Fit Probability Distribution Model predicted rainfall return values (RT) at 200 years return period ranging from192.92mm at Uyo, 185mm at Port Harcourt; 218mm for Benin City; and 245 mm at Calabar.. The study's findings are helpful in the planning, designing, and maintaining of hydraulic structures for preventing flood damage and mitigating floods at the locations
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| first_indexed | 2024-04-24T14:53:15Z |
| format | Article |
| id | doaj.art-2f7a9f144efb49dcbd52a3ccee228257 |
| institution | Directory Open Access Journal |
| issn | 2659-1502 2659-1499 |
| language | English |
| last_indexed | 2024-04-24T14:53:15Z |
| publishDate | 2024-03-01 |
| publisher | Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) |
| record_format | Article |
| series | Journal of Applied Sciences and Environmental Management |
| spelling | doaj.art-2f7a9f144efb49dcbd52a3ccee2282572024-04-02T19:46:15ZengJoint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)Journal of Applied Sciences and Environmental Management2659-15022659-14992024-03-01283Rainfall Frequency Analysis of Some Cities in Niger Delta Region of NigeriaA. I. AgbonayeO. C. Izinyon Rainfall frequency analyses for four cities namely Benin City, Port Harcourt, Calabar and Uyo in Nigeria's Niger Delta area were carried out utilizing daily rainfall data from the yearly maxima series for 48 years (1965 – 2012) at each location. The study's goal was to identify the probability distribution model that fit the data the best and applicable to each location from among six candidate probability distribution models namely: Pearson Type III (PIII), log Normal (LN), log Pearson Type III, Generalized Extreme value (GEV), Extreme value type I (EVI), and Generalized Pareto (GPA). The method of moments (MOM) was used to estimate the distributions' parameters applying the outcomes of seven goodness of fit tests, the most optimal fit distribution model was chosen for each site namely Root Mean Squared Error (RMSE), Relative Root Mean Square Error (RRMSE), Maximum Absolute Derivation Index (MADI), Chi–Square etc. The best distribution model at each location was utilized to predict rainfall of desired return periods. Based on our findings, PIII for Benin City, GEV for Port Harcourt, GEV for Calabar and EVI and LN for Uyo are the distribution models that suit the data the best., The Best Fit Probability Distribution Model predicted rainfall return values (RT) at 200 years return period ranging from192.92mm at Uyo, 185mm at Port Harcourt; 218mm for Benin City; and 245 mm at Calabar.. The study's findings are helpful in the planning, designing, and maintaining of hydraulic structures for preventing flood damage and mitigating floods at the locations https://www.ajol.info/index.php/jasem/article/view/267309Maximum rainfall; Probability distribution; Goodness of fit; Distribution parameters; Return level |
| spellingShingle | A. I. Agbonaye O. C. Izinyon Rainfall Frequency Analysis of Some Cities in Niger Delta Region of Nigeria Journal of Applied Sciences and Environmental Management Maximum rainfall; Probability distribution; Goodness of fit; Distribution parameters; Return level |
| title | Rainfall Frequency Analysis of Some Cities in Niger Delta Region of Nigeria |
| title_full | Rainfall Frequency Analysis of Some Cities in Niger Delta Region of Nigeria |
| title_fullStr | Rainfall Frequency Analysis of Some Cities in Niger Delta Region of Nigeria |
| title_full_unstemmed | Rainfall Frequency Analysis of Some Cities in Niger Delta Region of Nigeria |
| title_short | Rainfall Frequency Analysis of Some Cities in Niger Delta Region of Nigeria |
| title_sort | rainfall frequency analysis of some cities in niger delta region of nigeria |
| topic | Maximum rainfall; Probability distribution; Goodness of fit; Distribution parameters; Return level |
| url | https://www.ajol.info/index.php/jasem/article/view/267309 |
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