Title: Evaluation of radar interferometry method in estimating snow depth and equivalent water (Case study: Ekbatan Dam basin)

نوع: Type: Thesis

مقطع: Segment: masters

عنوان: Title: Title: Evaluation of radar interferometry method in estimating snow depth and equivalent water (Case study: Ekbatan Dam basin)

ارائه دهنده: Provider: Soleyman Fathi pour

اساتید راهنما: Supervisors: Hossein Torabzadeh Khorasani (Ph. D)

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: PH.D Mortexza Heidarimozaffar- PH.D Hassan Khotanlou

زمان و تاریخ ارائه: Time and date of presentation: 2025

مکان ارائه: Place of presentation: آمفی تئاتر دانشکده مهندسی

چکیده: Abstract: Snow is an important water supply factor in mountainous areas. Precipitation is stored as snow in the winter and as it gradually melts, the water produced enters rivers. The amount of water produced by melting snow is known as snow water equivalent and is obtained from the product of the depth and density of snow. The filling of reservoirs and water resources of many cities depends on snow melting, and water managers try to assess the amount of water produced from winter snow. Doing this enables water managers to estimate how much water will be available after the snow melts in the spring. Snow depth varies in different regions, and due to the adverse climate and harsh conditions of mountainous areas during the snow accumulation season, determining the depth and calculating snow equivalent water using ground stations is difficult, costly, and inaccurate. Using remote sensing is a suitable method for determining the amount of water storage and managing snow equivalent water. The aim of this study is to use remote sensing capabilities to calculate the snow water equivalent of the Ekbatan Dam catchment area in the winter of 2022-2023. This will greatly assist in the management of water resources in Hamedan city. For this purpose, information on the depth and date of the last snowfall in 2023 was obtained from the regional snow measurement station. Two Sentinel-1 images without snow were obtained in late November. The third image was obtained at the same time as the last snowfall of the year. By performing radar interferometry, an interferogram containing the depth and volume of snow in the region was obtained. Using the obtained snow density and volume, the snow equivalent water of the Ekbatan Dam catchment area was calculated. To evaluate the accuracy of interferometry, Sentinel-1 images from other stations in the province were processed. The results showed that the interferometric method has an average accuracy of 3.45 cm and RMSE = 2.32 in determining snow depth, and its accuracy is 0/18 higher than determining snow water equivalent using ground stations, and it can be a suitable alternative to the difficult and costly methods of measuring snow water equivalent using ground stations in mountainous areas