the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Evaluation of changes in different climates of Iran, using De Martonne index and Mann–Kendall trend test
Abstract. In this paper, according to the data of 40 stations in Iran during 1967–2005, changes in different climates of Iran evaluated. The De Martonne index and Mann–Kendall trend test are indexes that by uses the precipitation and temperature provide the evaluate possibility of the climate condition and pattern of climate changes. The objective of this study is to evaluation of changes in different climates in Iran. The results of this research showed that, The surface percent of Iran in the hyper arid, semi arid, humid and hyper humid type 1 climate categories have had a ascending trend, but only the ascending trend of the hyper arid category has been significant and the surface percent of the humid, hyper humid type 1 and semi arid categories have had a insignificant trend. The surface percent of Iran in the arid, Mediterranean, semi humid and hyper humid type 2 climate categories have had a descending trend, but the descending trend of the hyper humid type 2, Mediterranean and semi humid categories have been significant and the surface percent of the arid categories have had an insignificant trend. So the total results showed that, Iran is going to be more arid.
This preprint has been withdrawn.
-
Withdrawal notice
This preprint has been withdrawn.
-
Preprint
(3606 KB)
Interactive discussion
-
RC C518: 'Comments on "Evaluation of Changes in Different Climates of Iran, Using De Martonne Index and Mann- Kendall trend test (by A.R Zareiee)', Shamsuddin Shahid, 28 Apr 2014
- AC C1999: 'zareiee', abdol rassoul zareiee, 07 Sep 2014
-
RC C1705: 'Comments on "Evaluation of Changes in Different Climates of Iran, Using De Martonne Index and Mann- Kendall trend test" paper', Anonymous Referee #2, 25 Jul 2014
- AC C2000: 'zareiee', abdol rassoul zareiee, 07 Sep 2014
Interactive discussion
-
RC C518: 'Comments on "Evaluation of Changes in Different Climates of Iran, Using De Martonne Index and Mann- Kendall trend test (by A.R Zareiee)', Shamsuddin Shahid, 28 Apr 2014
- AC C1999: 'zareiee', abdol rassoul zareiee, 07 Sep 2014
-
RC C1705: 'Comments on "Evaluation of Changes in Different Climates of Iran, Using De Martonne Index and Mann- Kendall trend test" paper', Anonymous Referee #2, 25 Jul 2014
- AC C2000: 'zareiee', abdol rassoul zareiee, 07 Sep 2014
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
873 | 436 | 77 | 1,386 | 75 | 75 |
- HTML: 873
- PDF: 436
- XML: 77
- Total: 1,386
- BibTeX: 75
- EndNote: 75
Cited
13 citations as recorded by crossref.
- Predicting dryland winter wheat yield in cold regions of Iran F. Razzaghi et al. 10.1002/met.70008
- Trend analysis of evapotranspiration applying parametric and non-parametric techniques (case study: arid regions of southern Iran) M. Bahrami et al. 10.1007/s40899-019-00352-z
- Comparative Analysis of the Implication of Periods Before and During Vaccination of COVID-19 Infection in Some Regional Leading African Countries A. Owolabi et al. 10.46481/jnsps.2022.702
- Landslide Susceptibility Mapping Using Fuzzy-AHP M. Mokarram & A. Zarei 10.1007/s10706-018-0583-y
- New climatic zones in Iran: a comparative study of different empirical methods and clustering technique F. Abbasi et al. 10.1007/s00704-021-03785-9
- Evaluation of climate change in northern Iran during the last four centuries by using dendroclimatology V. Gholami et al. 10.1007/s11069-016-2667-4
- Comparison of reconnaissance drought index (RDI) and effective reconnaissance drought index (eRDI) to evaluate drought severity A. Zarei et al. 10.1007/s40899-019-00310-9
- Analysis of Changes in Spatial Pattern of Drought Using RDI Index in south of Iran A. Zarei et al. 10.1007/s11269-016-1380-0
- Significance of geographical factors to the COVID-19 outbreak in India A. Gupta et al. 10.1007/s40808-020-00838-2
- Impact assessment of agricultural droughts on water use efficiency in different climatic regions of Punjab Province Pakistan using MODIS time series imagery M. Farhan et al. 10.1002/hyp.15232
- Investigation of effective climatology parameters on COVID-19 outbreak in Iran M. Ahmadi et al. 10.1016/j.scitotenv.2020.138705
- Comparison of the climate indices based on the relationship between yield loss of rain-fed winter wheat and changes of climate indices using GEE model A. Zarei et al. 10.1016/j.scitotenv.2019.01.204
- A novel data-driven approach to pairwise comparisons in AHP using fuzzy relations and matrices for landslide susceptibility assessments L. Cengiz & M. Ercanoglu 10.1007/s12665-022-10312-0