دانشگاه تبریز
فهرست نشریات دارای اعتبار وزارت علوم، تحقیقات و فناوری
پایگاه استنادی علوم جهان اسلام (ISC)

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Keskin, M. Erol, Akdeğirmen, Özgün, Ağıralioğlu, Necati. (1404). Comparative Runoff Modeling of Mediterranean Karst Using LSTM, HBV, and Mapshed. سامانه مدیریت نشریات علمی, (), -. doi: 10.22034/ceej.2025.69880.2462
M. Erol Keskin; Özgün Akdeğirmen; Necati Ağıralioğlu. "Comparative Runoff Modeling of Mediterranean Karst Using LSTM, HBV, and Mapshed". سامانه مدیریت نشریات علمی, , , 1404, -. doi: 10.22034/ceej.2025.69880.2462
Keskin, M. Erol, Akdeğirmen, Özgün, Ağıralioğlu, Necati. (1404). 'Comparative Runoff Modeling of Mediterranean Karst Using LSTM, HBV, and Mapshed', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.22034/ceej.2025.69880.2462
Keskin, M. Erol, Akdeğirmen, Özgün, Ağıralioğlu, Necati. Comparative Runoff Modeling of Mediterranean Karst Using LSTM, HBV, and Mapshed. سامانه مدیریت نشریات علمی, 1404; (): -. doi: 10.22034/ceej.2025.69880.2462

Comparative Runoff Modeling of Mediterranean Karst Using LSTM, HBV, and Mapshed

نشریه مهندسی عمران و محیط زیست
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 02 دی 1404
نوع مقاله: مقاله کامل پژوهشی
شناسه دیجیتال (DOI): 10.22034/ceej.2025.69880.2462
نویسندگان
M. Erol Keskin* 1؛ Özgün Akdeğirmen1؛ Necati Ağıralioğlu2
1İnşaat Mühendisliği Bölümü, Mühendislik Fakültesi, Süleyman Demirel Üniversitesi, Isparta, Türkiye
2İnşaat Mühendisliği Bölümü, Mühendislik Fakültesi, Antalya Bilim Üniversitesi, Antalya, Türkiye
چکیده
Despite the complex hydrology of karst systems, which typically necessitates specialized modeling approaches due to rapid flow dynamics and multiple flow regimes, hydrological models may yield adequate results in basins with limited data resolution. This study evaluates the performance of three hydrological models LSTM, Mapshed and HBV in the karstic Kucuk Aksu basin in Turkey’s western Mediterranean coast. The research examined nine years (2013-2021) of daily meteorological and streamflow data to identify dominant hydrological elements and evaluate the accuracy of the model. The snow cover indices derived from satellite imagery analysis were used in the training of the LSTM model. The results indicate that LSTM model produced overall better performance metrics compare to two conceptual models. The results have been evaluated according to Nash-Sutcliffe Efficiency (NSE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and R2 performance indicators. During calibration, the NSE values for the LSTM, HBV, and Mapshed models were calculated as 0.82, 0.74, and 0.72, respectively, whilst during validation, the NSE values were calculated as 0.90, 0.75, and 0.50, in the same order. The study demonstrates that, despite karstic geology, complex Mediterranean climate patterns and low temporal resolution of the available data, LSTM and HBV models can provide reliable river flow forecast.
کلیدواژه‌ها
LSTM؛ HBV؛ Mapshed؛ Karst؛ Mediterranean؛ Hydrology
آمار
تعداد مشاهده مقاله: 104


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