سهيله رحيمي

Flood susceptibility assessment an‎d identification of flood-prone areas are important in scientific an‎d engineering fields. Flooding is a significant natural hazard in Iraq, an‎d effective management strategies are necessary to mitigate its losses. Flooding is primarily associated with heavy rainfall along the Tigris River, which flows from north to south through Baghdad. In addition, the confluence of the Tigris River with its main tributaries, located north of Baghdad, increases the regionʹs vulnerability to flooding. This thesis focuses on the systematic analysis an‎d classification of spatial datasets, along with analysis of Digital Elevation Models (DEM) in Geospatial Information Systems (GIS), to identify flood-prone areas using flood susceptibility maps an‎d consequently determine optimal dam sites for flood mitigation an‎d regulation of water flow. The first stage of this study focuses on identifying flood areas using flood susceptibility mapping assessments within GIS through 10 criteria. These criteria included Topographic Wetness Index (TWI), digital elevation, slope, rainfall, lan‎d use an‎d cover (LULC), vegetation index, distance from river, distance from road, density, an‎d soil wetness. The extracted weights for each criterion, as determined by the AHP method, are 13.5%, 12.1%, 9.9%, 13.6%, 6.6%, 14.1%, 5.7%, 9.3%, an‎d 9.3%, respectively. The next stage of this research focuses on computing weights using fuzzy-AHP an‎d integrating it with GIS to determine the most suitable locations for a dam based on seven criteria. These criteria include rainfall, distance from river, distance from road, distance from urban areas, slope, lan‎d use an‎d lan‎d cover, an‎d total construction cost. The corresponding weights for each criterion are 39%, 20%, 10%, 8%, 13%, 6%, an‎d 4%, respectively. The fuzzy overlay of membership degree of seven layers obtained seven spatial patterns called C1, C2, C3, C4, C5, C6, an‎d C7. These seven spatial patterns as choices fed to ViseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method for optimal dam site selec‎tion. The obtained results demonstrated that C1 is the best choice with the highest score (0.972) an‎d a completion rate of 92.86%. For the assessment of the achieved results, the valley derivation method was also used. The comparison between the selec‎ted site by VIKOR an‎d the location proposed by the valley derivation method demonstrated that both sites were coincident an‎d had spatial agreement. Moreover, the dam cost $130,285,500 to build, an‎d the flood losses in the downstream of the dam area were $711,679, indicating that this investment is suitable for mitigating the effects of future floods. The results show that the selec‎ted region (C1 = Dam A), with a volume of 31 million cubic meters, a capacity of 28,177,200 cubic meters, a pixel area of 900, an‎d a total dam area of 45.1 〖km〗^2, an‎d an elevation of 41 meters.

استخراج دره , خطوط كانتور , GIS

Valley derivation , contour lines , GIS

Rahimi

Dr. Mojaradi - Dr. Alizadeh