Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis Determination of Flood Risk Areas and Development of Mitigation Strategies in Kabul River Basin, Afghanistan(01. Izmir Institute of Technology, 2023) Barez, Esmayel; Tayfur, Gökmen; Tayfur, Gökmen; 03.03. Department of Civil Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyFlooding is a devastating and natural catastrophe to population, environment, and socioeconomic development globally. Floods occur frequently in Afghanistan, especially in Kabul River Basin. Many geographical techniques have been established in recent years to map, predict and model flood risks. This research investigates identification of flood-prone zones and development of mitigation measures in Kabul River Basin. First, in this research, GIS and MCDA methodology was applied to generate flood risk map. Also, AHP method was applied to determine the best weights to be assigned to the factors that influence risk of flooding. A flood risk map of KRB was produced using 10 conditioning criteria; soil, rainfall, lithology, LULC, TWI, NDVI, distance to stream channels, curvature, elevation, and slope. Based on the weighted overlay integration of GIS-AHP technique, KRB was grouped into four flood vulnerability zones; very low, low, high, and very high. Generated flood risk map indicates a good match with the flood risk areas and location of past floods in the basin over recent years. Second, 2D HEC-RAS model and flood frequency analysis were developed for different scenarios to simulate the flow of river and to develope mitigation measures with a 500- year return period in the main river of Kunar and the lower Kabul sub-basin. Manning's n values were used to calibrate HEC-RAS model, and past flood events applied for validation. Flood mitigation strategies, including river restoration, construction of dam, and reservoir improvement were proposed on the Kunar and lower Kabul sub-basin. Keywords: Flood Inundation Map, Hydraulic Modelling, ArcGIS-MCDA.Master Thesis Modelling Rainfall-Runoff Processes in Kabul River Basin Using Arc Swat Model(01. Izmir Institute of Technology, 2020) Tanı, Hamidullah; Tayfur, Gökmen; Tayfur, Gökmen; 03.03. Department of Civil Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologySWAT model is applied to Kabul River Basin (KRB) located in Afghanistan to assess the runoff. KRB is located between latitudes 33 ﾟN and 37 ﾟ N, and longitudes 67 ﾟE and 74 ﾟE, with a drainage area of 72000 km2. This study (1) determines the most sensitive parameters that affect the catchment flow, (2) estimates monthly and daily flows of the basin from the available meteorological stations data, (3) calibrates and validates the simulated and observed flow data for different hydrological stations located in the basin, and (4) determines the total amount of surface runoff and water yield in the basin. SWAT-CUP is applied for the sensitivity analysis. Initially 27 different sensitive parameters effecting the runoff are tasted and 20 most sensitive ones are found. Among these, GWQMN.gw (Treshold depth of water in the shallow aquifer required for return flow to occur ), SMTMP.bsn (Snow melt base temperature), CN2.mgt (SCS runoff curve number II), PLAPS.sub (Precipitation lapse rate), and HRU_SLP.hru (Average slope steepness) are found to be the most sensitive parameters. The predicted flow is calibrated and validated against the measured flow for seven different Hydrological Stations both on a monthly and daily time scales. The performance of the model is checked by applying R2, NSE, and the RSR. Overall, the model's monthly simulation flow is superior to the daily simulation.