Control theory-based update of water levels in 1D hydrodynamic models

التفاصيل البيبلوغرافية
العنوان: Control theory-based update of water levels in 1D hydrodynamic models
المؤلفون: Miloš Milašinović, Dušan Prodanović, Budo Zindović, Nikola Rosić, Nikola Milivojević
المصدر: River Flow 2020 ISBN: 9781003110958
River Flow 2020
بيانات النشر: CRC Press, 2020.
سنة النشر: 2020
مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, correction flow, 0207 environmental engineering, 02 engineering and technology, 1D river, 01 natural sciences, 6. Clean water, 13. Climate action, Control theory, PID control, Environmental science, 020701 environmental engineering, data assimilation, 0105 earth and related environmental sciences
الوصف: Model-driven forecasting used for flood risk assessment or river hydropower systems management, can produce bad results due to many model uncertainties. False inflow and lateral inflow data and/or poor estimation of initial conditions are some of the uncertainty sources. To improve model-driven forecasting, data assimilation methods are used for updating model (e.g., water levels) according to measurements. Widespread data assimilation methods (EnKF, Particle Filter) often increase computational time, which creates difficulties in everyday application of these methods in hydraulic modelling. This paper presents novel approach based on indirect model update adding correction flows at observation locations. This novel, tailor-made, assimilation approach uses proportional-integrative-derivative controller’s theory as algorithm for correction flow calculation. Using indirect approach for model update has justification in models where multiple inflows, including lateral inflows, are bad estimated or even neglected. This novel approach is tested on 170km long section of Danube model in Serbia, showing good performance.
ردمك: 978-1-00-311095-8
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49909e3b18e0d39b81fd61e4018e33a8
https://doi.org/10.1201/b22619-157
حقوق: RESTRICTED
رقم الأكسشن: edsair.doi.dedup.....49909e3b18e0d39b81fd61e4018e33a8
قاعدة البيانات: OpenAIRE