NON-PARAMETRIC MANN-KENDALL AND SEN’S SLOPE ESTIMATE AS A METHOD FOR DETECTING TREND WITHIN HYDRO-METEOROLOGICAL TIME SERIES: A REVIEW
Climate and water resources are interconnected in a complex way such that a change in any one induces a change in another. Trend analysis is usually employed while assessing the long-term impact of climate variability on the environment, particularly water resources. Parametric and non-parametric st...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nigerian Defence Academy
2023-09-01
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| Series: | Academy Journal of Science and Engineering |
| Online Access: | https://ajse.academyjsekad.edu.ng/index.php/new-ajse/article/view/272 |
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| Summary: | Climate and water resources are interconnected in a complex way such that a change in any one induces a change in another. Trend analysis is usually employed while assessing the long-term impact of climate variability on the environment, particularly water resources. Parametric and non-parametric statistical methods were employed at various times for trend tests depending on the nature of the data at hand. Non-parametric procedures for detecting trends were found to be suitable for hydro-meteorological time series. This paper, therefore, reviewed some non-parametric trend tests of hydro-meteorological time series and their application and found Mann-Kendall and Sen’s Slope Estimate method as a suitable method of assessing trends within hydro-meteorological time series. |
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| ISSN: | 2734-3898 |