Cartographic Modeling to Estimate the volume of Surface Runoff in the Wadi Sibna Basin According to the (SCS - CN) Model Using Remote Sensing and Geographic Information
Abstract
The research aims to use remote sensing data and geographic information systems software to model maps to estimate the volume of surface runoff according to the (CN - SCS) model for the Wadi Sabna basin, which is located in northern Iraq in the Dohuk Governorate, specifically in the Amadiyah District, with an area of (383.98 km2). This model is based on the covers and uses of the land, the hydrological groups of the soil, the prior soil moisture, and the rain. The covers and uses of the land were combined with the hydrological soils for the purpose of obtaining the curved numbers (CN), which numbered in the basin (7), values that ranged between (58) for the least silent areas and (94) for the most silent areas. The maps revealed that the values of the coefficient of maximum potential for water retention after the start of surface runoff in the basin ranged between (183.93 mm) for the areas most capable of retaining water and (16.21 mm) for the areas least able to retain water. As for the values of the initial extraction coefficient (Ia), they ranged Its value ranged between (36.79 mm) for the surfaces with the most water loss before the start of surface runoff and (3.24 mm) for the surfaces with the least water loss before the start of surface runoff. The maps also showed that the highest value for the depth of surface runoff (Q) was (37.76 mm), while the lowest value was (1.35 mm), and the annual surface runoff volume (QV) in the basin reached (992,953.80 m3).
Downloads
Copyright (c) 2023 Misan Journal of Academic Studies
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The copyright is also the copyright of the magazine only.
All articles published in our magazine are subject to license terms
Creative Commons Attribution(CC BY-NC-ND 4.0) This license permits the content to be reproduced, redistributed and reused in whole or in part for any purpose free of charge, without any permission from the author(s), researcher or student.
Works submitted to Maysan Journal of Academic Studies for publication in the journal (CC BY-NC-ND 4.0) license terms. Where available content can be shared, distributed and replicated provided there is no commercial profit and appropriate credit must be given to the original source through sources or citations. It is mandatory to review any material used from other sources including shapes, tables, and images for re-use under the terms of the Creative Commons License (CC BY-NC-ND 4.0).Provided that there is no modification to the original content