Master Degree (MSc)

Apr 1, 2014 - Apr 16, 2016

Remote Sensing and GIS - Civil Engineering Department - College of Engineering - University Putra Malaysia (UPM)

Bachelor Degree (BSc)

Sep 1, 2006 - Oct 1, 2010

Surveying Engineering - Technical Engineering College of Kirkuk - Northern Technical University

Soil Erosion Susceptibility Mapping by Analyzing Morphometric Parameters Using ALOS PALSAR DEM and GIS Techniques for Rawanduz River Basins in Iraq

Jan 17, 2024

Journal Proceedings of the 3rd Conference of the Arabian Journal of Geosciences (CAJG-3)

publisher Springer Nature

DOI https://link.springer.com/book/10.1007/978-3-031-43744-1

Issue Chapter of book

Volume P 89-93

Annually, soil erosion imposes significant hazards by raising soil fertility and filling reservoirs with sedimentation in the Rawanduz River basins, Iraq. The Rawanduz watershed consists of seven sub-basins. Therefore, it is important to consider areas in these basins that are vulnerable to soil erosion for preventive hazard action. ALOS PALSAR DEM 12.5 m-resolution data was used to analyze morphometric parameters in the study area. Linear, aerial, and relief morphometric parameters were determined using GIS techniques. A set of 15 parameters were studied, including slope (S), drainage density (Dd), texture ratio (T), relative relief (Bh), stream frequency (Fu), infiltration number (If), ruggedness number (Rn), length of overland flow (Lo), constant of channel maintenance (C), relief ratio (Rh), elongation ratio (Re), shape factor (Bs), form factor (Rf), circularity ratio (Rc), and compactness coefficient (Cc). Then, an Analytic Hierarchy Process (AHP) was used to classify sub-basins according to their susceptibility for soil erosion and important morphometric parameters that have an important influence on soil erosion. The results of the model show that erosion is highly affected by the slope and drainage density in the region of interest, mainly. The results of the AHP set model showed that sub-basin 2 was highly susceptible to soil erosion. We conclude that these results could be useful to various stakeholders such as farmers, water resource managers, conservation planners, and policymakers for better management and decision-making activities.

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Site suitability in water harvesting management using remote sensing data and GIS techniques: A case study of Sulaymaniyah Province, Iraq

May 20, 2023

Journal Climate Change, Agriculture and Society

publisher Springer Nature

DOI https://doi.org/10.21203/rs.3.rs-2129294/v1

Issue Chapter of book

Volume P 227-257

The human-induced water use changes and the climate change effects have impartially led to long-term drought, water shortages and some casual flood incidents. These, have significantly impacted the northern region of Iraq over the past few decades. Water resources management has become a key to resolving this dilemma, particularly for the arid and semi-arid areas. Harvested water could be exploited for consumption, domestic, and animal use. Moreover, it is considered a valuable resource for irrigating agricultural lands. This study aims to identify appropriate sites for rainwater harvesting in the Sulaimaniyah province, Iraqi Kurdistan region. These processes have been done by using remote sensing, Geographic Information System (GIS) techniques and multi-criteria decision making (MCDM). The analytical hierarchy process (AHP) model has been used to find out suitable locations for water harvesting. The criteria considered were runoff, slope, soil type, land cover and drainage density. Each factor is assigned to its weight depending on its effect. Based on the findings, the average region that is outstanding and well-suited for water collection is 32% of the whole area. The model that has been applied in the current study is extremely significant and supportive for water resource management.

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Earthquake-Induced Ground Deformation Assessment via Sentinel-1 Radar Aided at Darbandikhan Town

Jun 7, 2022

Journal Journal of Sensors

publisher WILY

DOI https://onlinelibrary.wiley.com/doi/10.1155/2022/2020069

Issue 1

Volume 2022

Deformation monitoring has conventional increasing consideration in recent years due to its great importance in modern engineering. Darbandikhan town was hit by a strong earthquake on 12th November 2017 which is the Sarpol-e Zahab earthquake. Interferometric Synthetic Aperture Radar (InSAR) technique has been used to investigate Darbandikhan town stability and the surrounding areas of the Kurdistan region in Iraq. The purpose of this research is to estimate the ground vertical displacement induced by the earthquake as well as the east-west deformation components. Moreover, previous research covered more of Iran’s side country that the earthquake had an impact on with little on Iraq’s side (Northern-eastern of Iraq), so it was worth researching on Darbandikhan town and surrounding structures to estimate the displacement on its infrastructures. For this study, two pairs of Sentinel-1 Synthetic Aperture Radar (SAR) images are used from each ascending and descending tracks over the study area to validate the work. Then, two differential interferograms are created from these images, along Darbandikhan town and the surrounding areas. These differential interferograms are then converted to line of sight (LOS) displacements using open source software (SNAP 8.0). The overall vertical displacement of the residential area of Darbandikhan was estimated from -4 to -10 cm after the earthquake, and the overall east-west displacement was ranging from 2 to 6.4 cm. The current study does not only examine the northern east of Iraq but the whole area of Iran and Iraq in general that lies within the influence of the earthquake. This research could be useful to estimate the overall deformation of Darbandikhan town in particular and the whole area in general. Therefore, the authorities and civil engineers could think of more sustainable buildings and structures before they start to plan within the area of earthquake impact.

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Dam site suitability assessment at the Greater Zab River in northern Iraq using remote sensing data and GIS

Jan 5, 2019

Journal Journal of Hydrology

publisher Elsevier

DOI https://doi.org/10.1016/j.jhydrol.2019.05.001

Volume 574

In the last few decades, the northern region of Iraq has been severely impacted by climate change, which has created long-term drought, water shortage, and casual flood events. Dam construction in suitable sites is a primary water management strategy to solve flood and drought. Dam site selection depends on a set of qualitative and quantitative criteria, such as geology, soil type, and altitude. In this study, appropriate areas of dam site selection for water management were identified using remote sensing, geographic information system (GIS), and multi-criteria decision making techniques. In addition, the proposed method of site suitability was evaluated by comparing it with the traditional analytic hierarchy process (AHP). A new validation method to evaluate the accuracy of AHP and fuzzy logic according to the preselected location of a dam was previously suggested in the study area (Bekhme dam) by the local government. Remote sensing data (Landsat imageries and ASTER DEM) and field/reference maps were used to derive 12 conditioning factors needed to produce a suitability map for construction. The criteria considered were geological formation, soil type, fault line, tectonic line, altitude, slope, rainfall data (2000–2011), water discharge, land use/cover, road network, and material used for dam construction. Two mathematical models, namely, AHP and fuzzy logic, were applied in this study. The best model was selected by using location and cluster-based accuracy assessment depending on the proposed dam site (i.e., Bekhme dam). Results showed that fuzzy logic is more accurate than AHP. In terms of the surface area of suitable lands identified, the AHP model determined 13,446,900 m ² as a highly suitable area, whereas the fuzzy model identified 3,409,200 m ² from the total area of 69,347,700 m ² . Finally, this study identified four sites for intermediate and large dams in the study area. The total water capacities of proposed Dam 1, Dam 2, Dam 3, and Dam 4 are about 81.5, 239.3, 374.6, and 646.5 million m ³ , respectively, when the dam height is 60 m. The proposed methods can be easily replicated to other areas for similar applications. The finding reveals that AHP model is distributed and scattered in the whole study area, whereas the fuzzy model is more suitable for clustered areas.

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Spatial Monitoring of Desertification Extent in Western Iraq using Landsat Images and GIS

Aug 3, 2017

Journal Land Degradation & Development

publisher WILY

DOI https://onlinelibrary.wiley.com/doi/10.1002/ldr.2775

Issue 8

Volume 28

Abstract Desertification refers to land degradation in arid, semi-arid, and dry sub-humid areas caused by various factors, including climatic variations and human activities. In recent decades, sandstorms have increased significantly in Western Iraq, which primarily increased desert lands. Proper management is required to control and to monitor the phenomena, as well as to calculate the desertified areas caused by desertification. The study area covered 50,861.854 km2 in Western Iraq. Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI data for 1990, 2002, and 2014 were used. Maximum likelihood algorithm was used to classify the images. Change detection results were discussed in two terms: short-term (1990–2002) and (2002–2014) and long-term (1990–2014) analysis. Change detection analysis from 1990 to 2014 showed that desert area increased to 2286.7308 km2, becoming a new source of dust storms. Hazard occurrence probability was studied on September and October 2014. The desertification amount decreased from 1990 to 2002 and increased significantly from 2002 to 2014. Sandstorms have recently been considered a hazardous phenomenon affecting the human population, the vegetation, and the ecosystem in Iraq.

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