Morphometric Analysis Using Geo-Information Techniques for Different Watersheds in Northeastern Part of Erbil City, Kurdistan Region, North Iraq

Abstract

The present research attempts to study detail morphometric analysis ofHarrir and Shaqlawa watersheds in the northeastern part of Erbil city, north of Iraq. The areas of the watersheds are 350 Km² and 223 Km² for Harrir and Shaqlawa, respectively. To achieve the aims of this study, the ALOS PALSAR Digital Elevation Model data, and Geo-information (Remote sensing and GIS) techniques were used for determining and analyzing morphometric parameters in terms linear, aerial and relief aspects. Several tools in ArcGIS 10.4 software were utilized for preparing and producing maps, analyzing and assessing various characteristics of the parameters. The main results show that there is a strong inverse relationship between stream order, number and length of the stream in the watersheds of the study area by R² values (R² = 0.78 and 0.81 of Harrir watershed and R² = 0.8 and 0.79 for Shaqlawa watershed, respectively). The watersheds are elongated in shape with dendritic, sub dendritic to parallel drainage patterns. Moreover, detail morphometric analysis shows that the watersheds have a low runoff, low permeable material, and moderate slope. The structural geology and climatic parameters of the study area have influenced the landform development and stream behavior in the watersheds. Hence, the present study is useful and essential for watershed management and planning rainfall harvesting.

Morphometric Analysis of the Rawandoz River Basin, Erbil, Kurdistan Region, Iraq

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Three Dimensional Terrain Modeling for Tectonic Geomorphology of Chinara Anticline, Northern Iraq

“…9). The climate and structural geology have influenced the development of the landform (Fatah, et al, 2020). The expecting breakthrough at the end of the survey line is exposing the Shiranish Formation between the beds of the Bekhme Formation (Fig.…”

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Flood Susceptibility Mapping Using an Analytic Hierarchy Process Model Based on Remote Sensing and GIS Approaches in Akre District, Kurdistan Region, Iraq

“…Remotely sensed data are primary material for analysis of thematic data layers to determine vulnerability to flooding (Das and Gupta, 2021). Furthermore, geographic information systems (GIS) are powerful tools for spatially analysing and developing flood susceptibility maps by merging various significant thematic factors and layers with specific mathematical and logical algorithms (Pham et al, 2021;Fatah et al, 2020b). Several arithmetical and probabilistic models based on GIS and remote sensing (RS) techniques have been developed and used at various spatial scales to detect, examine, and evaluate flood-prone areas (Rahmati et al, 2019;Zzaman et al, 2021).…”