2023
DOI: 10.4236/ojmh.2023.134013
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Comparative Analysis of Climatic Change Trend and Change-Point Analysis for Long-Term Daily Rainfall Annual Maximum Time Series Data in Four Gauging Stations in Niger Delta

Masi G. Sam,
Ify L. Nwaogazie,
Chiedozie Ikebude
et al.

Abstract: The aim of this study is to establish the prevailing conditions of changing climatic trends and change point dates in four selected meteorological stations of Uyo, Benin, Port Harcourt, and Warri in the Niger Delta region of Nigeria. Using daily or 24-hourly annual maximum series (AMS) data with the Indian Meteorological Department (IMD) and the modified Chowdury Indian Meteorological Department (MCIMD) models were adopted to downscale the time series data. Mann-Kendall (MK) trend and Sen's Slope Estimator (SS… Show more

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“…This was to help examine the effect of ignoring non-stationarity in the 24-hour time series data collected for each station. In the results of the MK and Sen's Slope tests earlier presented in [18], a trend in the time series data was observed for each of the study stations. Therefore, the Non-stationary behaviour exhibited by the time series data for different durations in each station by showing a positive trend validates the application of Non-stationarity for the IDF modeling -an indication of evidence of changing climatic conditions.…”
Section: Significant Trend Check On Annual Maximum Time Series Datamentioning
confidence: 68%
“…This was to help examine the effect of ignoring non-stationarity in the 24-hour time series data collected for each station. In the results of the MK and Sen's Slope tests earlier presented in [18], a trend in the time series data was observed for each of the study stations. Therefore, the Non-stationary behaviour exhibited by the time series data for different durations in each station by showing a positive trend validates the application of Non-stationarity for the IDF modeling -an indication of evidence of changing climatic conditions.…”
Section: Significant Trend Check On Annual Maximum Time Series Datamentioning
confidence: 68%