The data-driven approach as an operational real-time flood forecasting model

• المؤلفون الرئيسيون: Nguyen, Phuoc Khac-Tien, Chua, Lloyd Hock Chye
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2012
• الموضوعات: DRNTU::Engineering::Civil engineering::Water resources
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/98067; http://hdl.handle.net/10220/8865
• المؤسسة: Nanyang Technological University

Accurate water level forecasts are essential for flood warning. This study adopts a data-driven approach based on the adaptive network–based fuzzy inference system (ANFIS) to forecast the daily water levels of the Lower Mekong River at Pakse, Lao People’s Democratic Republic. ANFIS is a hybrid...