Purpose: to develop a methodology for analyzing deviations of actual water distribution from the planned indicators with subsequent optimization of management decisions based on hydrodynamic modeling.
Materials and methods. The methodology proposes to develop typical scenarios of optimization decisions based on diagnostics, field surveys, and a hydrodynamic model. This development will allow for an objective separation of technical limitations from management deficiencies, an assessment of the effect of measures before their implementation, and the formation of step-by-step optimization roadmaps depending on the available resources and priorities.
Results and discussion. A classification of nine causes of deviations is proposed, divided into technical (infrastructure depreciation, lack of automation, mechanization, and hydrometry) and managerial factors (staff shortages, malfunction of irrigation equipment) factors, as well as objective external influences (changes in hydrometeorological conditions). For each cause, standard optimization scenarios were developed with a quantitative assessment of the expected effect: a 10–50 % reduction in losses, an increase in efficiency to 0.80–0.85, and a 30–50 % reduction in deficits at the end sections. A ranking system for irrigation network sections based on the magnitude and duration of water deficits (ranks 1–4) was introduced, enabling the development of priority roadmaps for actions. A standardized eight-stage optimization cycle is proposed: from diagnostics and calibration of the hydrodynamic model to monitoring the efficiency of implemented measures.
Conclusions. This approach can ensure a transition from reactive management to proactive planning, increasing the hydraulic efficiency of the system and reducing dependence on subjective personnel decisions. This will reduce discharge volumes, reduce system losses, and increase the discharge capacity of canals and structures, which in turn can lead to an increase in irrigated areas by 20–40 %.
water distribution, irrigation systems, hydrodynamic modeling, control optimization, technical condition, hydraulic structures, water use automation
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