INTELLIGENT CONTROL OF IRRIGATION SYSTEMS UNDER WATER SCARCITY: CASE STUDY OF KASHKADARYA REGION AND IMPACT OF QOSH-TEPA CANAL
Abstract
This article focuses on developing an intelligent system for the safe utilization of Collector-Drainage Water (CDW) to mitigate the negative impact of the Qosh-Tepa canal construction on the water supply of the Kashkadarya region. Considering that 73% of the region's irrigation water is pumped from the Amu Darya, mixing mineralized drainage effluents with fresh water is proposed as an alternative solution. A hybrid control model based on Physics-Informed Neural Networks (PINN) and Internet of Things (IoT) technologies has been developed. The results demonstrate that pulse irrigation regimes and real-time monitoring of salt transport can reduce water deficit by 20-25% and prevent secondary soil salinization.
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