ARTICLE INFO

Article Type

Original Research

Authors

Madadi   A. (*1)
Ghale   E. (1)
Ebadi   E. (1)
Nezafat Takaleh   B. (1)
Pasban   AH. (1)






(1) Department of Geomorphology, Faculty Social Sciences, Mohaghegh Ardabili University, Ardabil, Iran

Correspondence

Address: Faculty Social Sciences, Mohaghegh Ardabili University, Uni‐ versity Street, Ardabil, Iran. Postal Code: 5619913131.
Phone: +98 (45) 31505972
Fax: -
aghil48madadi@yahoo.com

Article History

Received:   July  18, 2020
Accepted:   September 15, 2020
ePublished:   March 18, 2021

ABSTRACT

Aims & Backgrounds Today, soil erosion and sediment production are considered a danger to humans and their lives, so in areas where soil erosion is not controlled, soils gradually erode and lose their fertility. The aim of this study is to model the relationship between the amount of suspended sediment load and the geomorphic features of the Nirchai River Basin.
Methodology In this study, GIS was used to extract geomorphic features and its relationship with sedimentation. Stepwise multivariate regression analysis was used to determine the relationship between geomorphic characteristics and sedimentation of each sub‐basin. The results of investigating the relationship between geomorphic characteristics and sediment in sub‐basins showed that the amount of sediment produced had a positive correlation with the volume of flow and the form factor of the basin and was significant at the level of 5 percent. Also, in order to identify the factors affecting the amount of sediment in the basin among the existing variables, the principal component analysis method was used.
Findings The results show that among 25 variables affecting sediment production, four factors of area, basin coefficient, environment and discharge were 37/78, 25/47, 18/5 and 11/22 percent of variance of all variables of research.
Conclusion Therefore, it is concluded that in total, all the effective factors of the four final extracted factors were able to explain 92.9 percent of the variance of all research variables.


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