This paper presents a multi-measurement system for automated water resource management in closed waterbody systems operating under relaxation dynamics and stochastic uncertainty. The system integrates eight sensor channels into a unified monitoring framework with modules for data assimilation, Bayesian filtering, adaptive identification, ensemble forecasting, and stochastic predictive control. Mathematical models of relaxation-stochastic water balance and algorithms for numerical implementation are proposed. Results validated on Lake Aydarkul demonstrate NSE = 0.89-0.91, risk reduction of 50-64%, and 14.9% increase in water withdrawal.
| Mualliflar | Ozodov, Ezozbek, Talipova, Guzal |
|---|---|
| Jurnal | Agro ILM |
| Nashr sanasi | 2026-08-21 |
| Jild | 127 |
| Son | 6 |
| Betlar | 135-136 |
| Til | O‘zbek |
stochastic control, closed waterbody systems, relaxation processes, intelligent automation, multi-measurement system, Lake Aydarkul, стохастическое управление, замкнутые водоёмные системы, релаксационные процессы, интеллектуальная автоматизация, LSTM, озеро Айдаркуль, stoxostik boshqaruv, yopiq suv tizimi, relaksatsion jarayonlar, intellektual avtomatlashtirish, LSTM, Aydarko’l tizimi
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