Application of remote sensing and GIS techniques in SCS-CN model (Case Study: Balarood Basin, Khuzestan)

Karami Moghadam, Mehdi; Moradi Motlagh, Ehsan; Sabzevari, Tooraj; Mohammadpour, Reza

doi:10.22034/jewe.2020.252569.1441

Document Type : Research Paper

Authors

¹ Assist. Professor, Department of Agriculture, Payame Noor University (PNU), Tehran, Iran

² PhD Student, Remote Sensing and GIS Development, Earth Sciences Faculty, Shahid Beheshti University, Tehran, Iran

³ Assoc. Professor, Department of civil engineering, Islamic Azad University, Estahban Branch, Estahban, Iran

⁴ Assist. Professor, Department of civil engineering, Islamic Azad University, Estahban Branch, Estahban, Iran

https://doi.org/10.22034/jewe.2020.252569.1441

Abstract

One of the main problems in flood predicting is often lack of hydrological and climatic data in most basins of Iran. Soil Conservation Service Curve Number (SCS-CN) method is used to estimate the maximum flood discharge in the ungauged basins. In this study, the runoff height and the maximum flood discharge were estimated by SCS-CN method in Balarood Basin on Khuzestan Province of Iran. Firstly, geometric correction, enhancement and nearest neighbor algorithm of object-oriented classification on Landsat 8 satellite’s OLI sensor images were used to prepare the land use maps. Then the soil hydrological groups and curve number (CN) were determined for each sub-basin using land use map. Finally, the runoff and maximum flood discharge of the basin were estimated by SCS-CN method. The results indicated that the Balarood basin had three soil hydrological groups A, B, and C, with 60.64, 11.62, and 27.74% respectively. The CN of the basin was 62.81. The maximum soil water retention (S) of Dokohe, Anarki and Mongareh sub-basins and the basin calculated were 7.5, 16.8, 17, and 15 cm respectively. The height of runoff and maximum flood discharge of them were estimated 0.05, 0.06, 0.73, 0.12 cm and 71, 67.2, 435, 282.1 m³/s respectively. The results also demonstrated the good efficiency of remote sensing and GIS techniques in study on SCS-CN method.

Keywords

Main Subjects

Hydrology

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Environment and Water Engineering

Application of remote sensing and GIS techniques in SCS-CN model (Case Study: Balarood Basin, Khuzestan)

References

References

Volume 7, Issue 1
March 2021
Pages 157-169

Application of remote sensing and GIS techniques in SCS-CN model (Case Study: Balarood Basin, Khuzestan)

References

References

Volume 7, Issue 1March 2021Pages 157-169

Volume 7, Issue 1
March 2021
Pages 157-169