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University of Oulu (2019)

Accuracy assessment of remote sensing altimetry : an integrated approach of lake water level response (Lake Urmia north-west Iran)

Rabbil, Mehedi

Titre : Accuracy assessment of remote sensing altimetry : an integrated approach of lake water level response (Lake Urmia north-west Iran)

Auteur : Rabbil, Mehedi

Etablissement de soutenance : University of Oulu

Grade : Master’s Degree Programme (BCBU) in Environmental Engineering 2019

Résumé
Declination of lake water levels are extensively influenced by anthropogenic activities along with basin size, topography, and lake size. Lake Urmia was one of the largest hypersaline lakes in north-west Iran. Main outflow from the lake are evaporation and possible groundwater flux, whereas major sources of inflow are surrounding rivers and several streams. Overall, annual evaporation is higher than precipitation. The lake Water Level Fluctuation (WLF) is a function of inflow, rainfall, evaporation and groundwater flux. The aim of this study is to assess the accuracy of different Remote Sensing (RS) data which influences on WLF. Variation of Lake Urmia WLF in several sections were estimated based on different satellite missions e.g. Jason-2 and Jason-3 and compared with observed data and DAHITI dataset. The outcome showed that the algorithm of estimated WLF indicates better outline in some sections in Lake Urmia while some cases are not in good harmony with observed and DAHITI data. In order to find RS data accuracy, different driving factors on WLF were integrated by applying Water Balance simulation with combination of different scenarios for 2003–2007. The results showed the scenario which combines all observed data, has best pattern with observed Water Level of the lake to explain the response of the lake.

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Page publiée le 11 janvier 2022