A NON-PARAMETRIC MANN-KENDALL AND SEN’S SLOPE ESTIMATE AS A METHOD FOR DETECTING TREND WITHIN HYDRO-METEOROLOGICAL TIME SERIES: A REVIEW

Authors

  • Nura Idris Abdullahi Department of Water Resources and Environmental Engineering; Ahmadu Bello University Zaria, Nigeria
  • Shamsudden Mohammed Department of Water Resources and Environmental Engineering; Ahmadu Bello University Zaria, Nigeria
  • Yusuf Owoseni Department of Water Resources and Environmental Engineering; Ahmadu Bello University Zaria, Nigeria
  • Stephen Ijimdiya Department of Water Resources and Environmental Engineering; Ahmadu Bello University Zaria, Nigeria
  • Khalid Suleiman Department of Water Resources and Environmental Engineering; Ahmadu Bello University Zaria, Nigeria

Abstract

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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Published

2023-09-30

Issue

Vol. 17 No. 1 (2023): Academy Journal of Science and Engineering (AJSE)

Section

Review

License

Copyright (c) 2023 Nura Idris Abdullahi, Shamsudden Mohammed, Yusuf Owoseni, Stephen Ijimdiya, Khalid Suleiman

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