Trend and stationarity patterns of surface flow time series in the Southern Slopes of Alborz Range

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MIRDASHTVAN MAHSA; NAJAFINEJAD ALI; SADODDIN AMIR

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Range and Watershed Managment Year:2018 | Volume:71 | Issue:2 Page(s): 537-550

Download Full-Text

Persian Verion

View:

505

Download:

Cites:

Information Journal Paper

Title

Trend and stationarity patterns of surface flow time series in the Southern Slopes of Alborz Range

Author(s)

MIRDASHTVAN MAHSA | NAJAFINEJAD ALI | SADODDIN AMIR | Issue Writer Certificate

Keywords

Climate changeQ1

Southern slopes of AlborzQ1

StationarityQ1

Surface flowQ1

trendQ2

Abstract

trend and Stationarity analyses of hydrological variables are useful tools for understanding Climate change and may provide useful information about likely changes in the future. As non-stationary of time series can occur due to various reasons such as trend existence in data; therefor, in current study the non-parametric Mann-Kendall trend test was used to detect the trend of the data. A corrector approach, namely “ TFPW” was utilized to modify the effects of serial dependence of the time series on the trend detection results. The Stationarity of time series was tested by unit root and Stationarity tests to evaluate the relationship between trend and Stationarity of the time series. The results showed that the Surface flows of all of the studied rivers have a decreasing trend; although the significant trends changed to insignificant ones after applying TFPW approach. The results of the Stationarity tests showed non-stationary time series for all of the sites after removing the serial dependence of the series, which is a sign of the lack of trend existence in the time series; however, Latian station (Lar river) reveals non-Stationarity after applying TFPW which may be originated from the existence of abrupt changes in the series. The findings of current study can help the planners and policy-makers and water resources managers to cope with Climate change in the future.

Cites

No record.

References

No record.

Cite

APA: Copy

MIRDASHTVAN, MAHSA, NAJAFINEJAD, ALI, & SADODDIN, AMIR. (2018). Trend and stationarity patterns of surface flow time series in the Southern Slopes of Alborz Range. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 71(2 ), 537-550. SID. https://sid.ir/paper/162521/en

Vancouver: Copy

MIRDASHTVAN MAHSA, NAJAFINEJAD ALI, SADODDIN AMIR. Trend and stationarity patterns of surface flow time series in the Southern Slopes of Alborz Range. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2018;71(2 ):537-550. Available from: https://sid.ir/paper/162521/en

IEEE: Copy

MAHSA MIRDASHTVAN, ALI NAJAFINEJAD, and AMIR SADODDIN, “Trend and stationarity patterns of surface flow time series in the Southern Slopes of Alborz Range,” JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 71, no. 2 , pp. 537–550, 2018, [Online]. Available: https://sid.ir/paper/162521/en

Related Journal Papers