Work

Multi-measurement System for Water Resource Control: Technical Structure, Mathematical Framework, and Algorithmic Implementation

Year: 2026

Type: article

Abstract: 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.

Source: Agro ilm

DOI: 10.67048/qxju2026ai127iss6m903

Authors: Ezozbek Ozodov, Guzal Talipova

Institutions: Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent Chemical-Technological Institute

Language: English

Topic: Water resources management and optimization

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: hybrid

OpenAlex ID: W7212379550

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