اولویت‌بندی راهکارهای ارتقای بهره‌وری آب کشاورزی با استفاده از تصمیم‌گیری چندمعیاره به روش تحلیل سلسله‌مراتبی و تحلیل شبکه‌ای در استان کرمانشاه

Document, water productivity is emphasized as one of the key indicators. The groundwater balance in Kermanshah Province is negative, with accumulated deficits in groundwater reservoirs exceeding one billion cubic meters. In this context, managing water consumption in agriculture—which constitutes a significant portion of water usage in Iran and globally—can be effective and offer solutions. Clearly, one of the prerequisites for managing water consumption in agriculture is identifying the main indicators of water management and determining these indicators using appropriate methods. Making informed decisions to address the pressure on the province's water resources requires recognizing potential solutions, prioritizing them, and adopting appropriate policies to resolve the issue. In this study, the relevant criteria and options for achieving the goal of improving agricultural water productivity were first identified. Subsequently, they were compared, weighted, and prioritized using multi-criteria decision-making methods, specifically the Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP), within the Super Decisions software environment. The results showed that the prioritization differed between the AHP and ANP methods. In the AHP method, the options of volumetric water delivery, farmer training, and reduction of agricultural product waste received the highest weights, respectively. In contrast, in the ANP method, the options of farmer training, realistic pricing of agricultural products, and volumetric water delivery ranked first to third, respectively.