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...
Saved in:
| Main Authors: | Nura Idris Abdullahi, Shamsudden Mohammed, Yusuf Owoseni, Stephen Ijimdiya, Khalid Suleiman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nigerian Defence Academy
2023-09-01
|
| Series: | Academy Journal of Science and Engineering |
| Online Access: | https://ajse.academyjsekad.edu.ng/index.php/new-ajse/article/view/272 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of seasonal rainfall trends in Himachal Pradesh by Mann-Kendall and Sen’s Slope estimator test
by: AMAN KUMAR, et al.
Published: (2025-03-01) -
Trend Detection and Forecasting of LST in Tabriz City using the Non-parametric Mann-Kendall and NNAR
by: Mohammad Ali Koushesh Vatan, et al.
Published: (2025-04-01) -
Comparison of Kendall Inspection in Trend Analysis of Hydro-sequence
by: ZHOU Fen
Published: (2005-01-01) -
Trend Analysis of Rainfall Erosivity in Liaoning Province (2003-2022) using the Mann-Kendall Test
by: Han Yu, et al.
Published: (2025-01-01) -
Spatio‐Temporal Analysis of Pan Evaporation in Iran Using Quantile Trend Regression and Mann‐Kendall Methods
by: Ahmad Reza Ghasemi, et al.
Published: (2025-03-01)