Scholarlink

<p>This study proposes a generalizable approach for evaluating potential modernization scenarios in agricultural water distribution operating systems, focusing on enhancing overall sustainability. This study applies the approach to evaluate three potential scenarios for modernizing surface water distribution operating systems. The scenarios (A1: structural modification, A2: non-structural enhancement, and A3: centralized automatic operating system with Model Predictive Control (MPC)) are assessed by considering economic, social, technical, and environmental factors. A novel approach is proposed, integrating Life Cycle Assessment (LCA) with multi-criteria decision-making (MCDM) techniques to comprehensively evaluate each scenario's environmental impact throughout its lifecycle. Additionally, social equity in water distribution, environmental damage (human health and ecosystems), economic costs, and technical performance (water delivery adequacy and sustainability) are evaluated. The proposed approach was implemented in Iran's NekooAbad Irrigation network. The analysis reveals that scenario A3 (MPC) offers the most sustainable solution. It demonstrates a 25% lower environmental footprint compared to the average of other scenarios and achieves an impressive 81% reduction in equivalent carbon dioxide production over a 30-year period compared to the current operating system. A combined Entropy-AHP method is employed to determine criteria weights for objective scenario prioritization, followed by the utilization of both TOPSIS and COPRAS techniques for ranking. Notably, both methods consistently rank A3 (MPC) as the most favorable scenario, followed by A2 and A1. Importantly, all proposed scenarios demonstrate improvements over the existing system. This research emphasizes the potential benefits of investing in the MPC, even with its higher initial cost. Offering a more comprehensive and environmentally friendly approach, provides valuable insights for planning and decision-making in water distribution systems. These findings have practical implications for water management and the pursuit of sustainable development in the NekooAbad region and similar irrigation networks worldwide.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Environmental Analysis within a Multi-Criteria Evaluation of Agricultural Water Distribution System Modernization Strategies

  • 期刊论文

  • 发表日期：

    2025年10月16日

查看全文
  • Minoo Jafari,
  • Jaber Soltani,
  • Seied Mehdy Shahdany Hashemy,
  • Mohammad Javad Monem,
  • Ehsan Vasheghani Farahani,
  • Hamed Tork

摘要

This study proposes a generalizable approach for evaluating potential modernization scenarios in agricultural water distribution operating systems, focusing on enhancing overall sustainability. This study applies the approach to evaluate three potential scenarios for modernizing surface water distribution operating systems. The scenarios (A1: structural modification, A2: non-structural enhancement, and A3: centralized automatic operating system with Model Predictive Control (MPC)) are assessed by considering economic, social, technical, and environmental factors. A novel approach is proposed, integrating Life Cycle Assessment (LCA) with multi-criteria decision-making (MCDM) techniques to comprehensively evaluate each scenario's environmental impact throughout its lifecycle. Additionally, social equity in water distribution, environmental damage (human health and ecosystems), economic costs, and technical performance (water delivery adequacy and sustainability) are evaluated. The proposed approach was implemented in Iran's NekooAbad Irrigation network. The analysis reveals that scenario A3 (MPC) offers the most sustainable solution. It demonstrates a 25% lower environmental footprint compared to the average of other scenarios and achieves an impressive 81% reduction in equivalent carbon dioxide production over a 30-year period compared to the current operating system. A combined Entropy-AHP method is employed to determine criteria weights for objective scenario prioritization, followed by the utilization of both TOPSIS and COPRAS techniques for ranking. Notably, both methods consistently rank A3 (MPC) as the most favorable scenario, followed by A2 and A1. Importantly, all proposed scenarios demonstrate improvements over the existing system. This research emphasizes the potential benefits of investing in the MPC, even with its higher initial cost. Offering a more comprehensive and environmentally friendly approach, provides valuable insights for planning and decision-making in water distribution systems. These findings have practical implications for water management and the pursuit of sustainable development in the NekooAbad region and similar irrigation networks worldwide.