Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran
By Mojtaba Shadmani, Safar Marofi, Majid Roknian. Water resources management, 2011
349 citations recorded by the source corpus.
In this research, temporal trends of reference evapotranspiration (ET0) values were investigated in arid regions of Iran. For this purpose, meteorological observations collected from 11 high quality meteorological sites over a 41-year period (1965–2005) were used and statistically significant ET0 trends in the monthly, seasonal and annual time basis were detected using nonparametric Mann-Kendall (MK) and Spearman’s Rho (SR) tests at the 5% significant level. To eliminate the effect of serial correlation on the test results, the Trend Free Pre-Whitening (TFPW) approach was applied. The results of this study indicated that the ET0 trends for some cities were increasing (positive) however, for some sites, they showed decreasing (negative) trends. The most number of significant ET0 trends on a monthly time scale occurred at Birjand but no significant trend was observed at the Bandarabbas, Sabzevar and Semnan sites. On the annual time scale, Mashhad revealed the highest positive trend (7.5 mm per year). On the other hand, Esfahan showed the highest decreasing (negative) ET0 trend of about −6.38 mm per year. In general, the performances and abilities of the MK and SR tests were consistent at the verified significant level.
Subfields: Global and Planetary Change, Soil Science
View Paper: https://www.semanticscholar.org/paper/47529679e840f91580b9e2896d2034ae37c48820
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In Global and Planetary Change
- K. Hasan
- P. Hosseinzadeh Talaee
- M. J. Alam
- M. A. Rahman
- Yunsheng Lou
- Hossein Tabari
- N. Sultana
- J. Nikbakht
In Soil Science
Citations in the corpus
- Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman’s rho tests and ARIMA model (2017, methodology): “However, uses of Spearman’s rho along with Mann–Kendall and Sen’s slope are found in several studies in other countries for trend analysis (Yue et al. 2002a; Shadmani et al. 2012; Ahmed et al. 2015).”
- Comparative study of wavelet-ARIMA and wavelet-ANN models for temperature time series data in northeastern Bangladesh (2017, methodology): “K) test can be used to detect trends in time-series analyses (Hamed, 2008; Hamed and Rao, 1998; Yue et al., 2002; Yue and Wang, 2004; Shadmani et al., 2012).”
- Identification of Trend in Reference Evapotranspiration Series with Serial Dependence in Iran (2012, background): “Moreover, assessment of climate change impacts on ET variability can be helpful in determining appropriate adaptation strategies for mitigating the probable damage from these impacts (Shadmani et al. 2011).”