An SCS-CN-Based Estimation of Ground Runoff in the Bastoura Basin

Authors

  • Dr. Shaymaa Thamer Jawad Kadhum University of Mosul / College of Education for Human Sciences

DOI:

https://doi.org/10.31185/bsj.Vol9.Iss15.397

Keywords:

Runoff, SCS-CN mthod, Remote sensing

Abstract

This paper aims at estimating the current runoff of the Bastoura basin using the SCS-CN model, GIS, and remote sensing. The Bastoura is a 533.6 km2-sized basin in Iraq’s Erbil. The study indicates that the basin, being situated in a humid region following de Martonne’s classification, is naturally capable of generating high runoffs. The rocky surface of the basin, therefore, is permeable. The estimation finds that curve numbers (CNs) were found to be high where the 85 value made 239.9 km2, while the S and the La coefficients were found to be low. Such variation helps make high runoffs through the basin as deep as 464.5 to 624 mm, and as large as 255611014 m3/year.

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Published

2023-02-23

Issue

Section

Articles