چکیده مقاله
Thermal stratification is a key process in reservoirs that influences various physical and chemical dynamics Numerical hydrodynamic models are affected by uncertainties arising from model calibration and input data In the Wadi Dayqah Reservoir, uncertainties are amplified by the lack of on site meteorological and inflow measurements and dynamic conditions due to flash floods By integrating observations, data assimilation DA can mitigate these uncertainties and improve the accuracy of thermal stratification assessment Given the high cost of field data collection, remote sensing derived observations provide a valuable alternative for DA While satellite data are practically used to monitor surface water temperature, accurate evaluations of thermal stratification in deep reservoirs essentialize the assimilation of vertical temperature profile observations In this study, satellite data are first employed to invert vertical temperature profile observations, which are subsequently assimilated into the CE QUAL W2 model a hydrodynamic model for reservoirs using the ensemble Kalman filter The results demonstrate a significant increase in model accuracy following assimilation The root mean square error RMSE of the temperature profile across the reservoir decreased by 15 71%, from 0 68 °C to 0 57 °C In the segment near the dam, the improvement is even more pronounced, with a 29% RMSE reduction, dropping from 0 64 °C to 0 45 °C
کلیدواژهها
نویسندگان
Farnaz Sadat Shahi
School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran
Mohammadreza Nikoo
Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman
Sadegh Vanda
Department of Civil and Environmental Engineering, School of Engineering, Shiraz University, Shiraz, Iran
Reza Kerachian
School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran
شیوه ارجاع
Shahi, Farnaz Sadat and Nikoo, Mohammadreza and Vanda, Sadegh and Kerachian, Reza,1404,Advanced Assessment of Thermal Stratification in Wadi Dayqah Reservoir Using Remote Sensing-Based Data Assimilation,14th International Congress on Civil Engineering,Tehran
ارائهشده در
مجموعه مقالات چهاردهمین کنگره بین المللی مهندسی عمران29 مهر 1404 · تهران