Spatial Analysis of Dry Valley Floods in Salah Al-Din Governorate and Ramadan Valley

Document Type : Special Issue: Deep Learning for Visual Information Analytics and Management.

Authors

Department of Geography, College of Education for Humanities, Tikrit University, Tikrit, Iraq.

Abstract

Flash floods are considered to be one the worst kind of hazard. They are characterized by their suddenness, rarity, small scale, heavy rain and peak discharge, unpredictable, fast and violent movement. It has severe effects on human society in the form life losses, damages to property, roads, communication and on natural settings. Advances in hydrology, meteorology, engineering, using of GIS and remote sensing still not able to increase real time forecast. Researchers from developed countries have stressed to more focus to improve very short time an effective early warning system with collaboration of local communities for flash flood risk supervision. The data were combined with the Geographical Information System to analyze the temporal and spatial distribution of flood events in Salah Al-Din Governorate and Ramadan Valley. The analysis of the spatial distribution of the floods proves that most of the occurrences are recorded in the southern part of the study area. Most of the flooded areas in the study area are mainly pre-classified areas within the areas threatened by the flood due to the low level of its surface and its proximity to the course of the main valley (Wadi Jarnav), which flows into the Tigris River. The proposed method estimates the localization of sites prone to flood, and it may be used for flood hazard assessment mapping and for flood risk management. It was therefore, suggested that government agencies and policy makers should adopt this powerful technique for reliable and well synthesized information which is a vital component of flood risk assessment and planning.

Keywords

References

Abdullah, H. H. (2011). Morphometric variables of the lower part of the Zab Basin using GIS, Diyala Journal of Pure Sciences, 7 (2).
Abdulsahib, G. M., & Khalaf, O. I. (2018). Comparison and evaluation of cloud processing models in cloud-based networks. International Journal of Simulation--Systems, Science & Technology, 19(5).
Abu Al-Enain, H. S. A. A. (1990). Wadi Dibba Basin in the United Arab Emirates, Geography of Nature and its Impact on Agricultural Development, Unspecified Press, Kuwait.
Al-Hayali, Shaima Basem Abdul Qader, (2015). Hydrological valleys flowing into the Tigris River / Nineveh Governorate, Master Thesis (unpublished) Mosul University, College of Education for Humanities.
Al-Jubouri, A. A. M. K. (2014). Geomorphology of the Right Side of Shirqat District Center, Master Thesis (Unpublished), Tikrit University, Faculty of Education for Humanities.
Al-Jubouri, S. A. (2005). Climatic Water Budget for Mosul Stations, Baghdad and Basra, Ph.D. Dissertation, College of Education (Ibn Rushd), University of Baghdad.
Al-Khafaji, S. N. (2010). Morphological and Hydrological Characteristics of Wadi Qurain Al-Thamad Basin in Southern Iraq Badia - Najaf, Master Thesis (Unpublished), Muthanna University, College of Education for Humanities.
Hameed, M. H. (2013) Water harvesting in Erbil Governorate, Kurdistan region, Iraq, Detection of suitable sites using Geographic information system and Remote sensing,
Maidment, D. R. (1993). Handbook of hydrology. University of Texas at Austin, Texas, USA
Strahler, A. N. (1964). Quantitative geomorphology of drainage besihs and Channel network in a book aplaid hydrology. edited by chow, V.T-MC. Grow-Hill. New York 
Tamimi, B. F. M. (2016). Hydrological Modeling of Chamchamal Aquarium Using Geographic Information Systems and Remote Sensing (GIS) and (RS). Ph.D. Thesis, (unpublished), Faculty of Education for Humanities, Tikrit University.
Tara, M., Anwar, S., & Reynolds, S.G. (2019). Report Country Pasture/Forage Resource Profiles of Iraq. Retrieved September 15, 2019, from www.fao.org
Journal of Information Technology Management
Volume 11, Issue 4
2019
Pages 37-55

Files

Share

How to cite

Statistics