Scholarlink

<p>In this study, a linear model has been formulated using single and multiple objective functions (OFs) to assess the impact of optimal surface and groundwater allocation among various crops, employing simultaneous compromise constraint (SICCON). Results revealed that the average net irrigation requirement (NIR) ranged from 891&#xa0;mm/year in the upper reaches (Balloki &amp; Okara) to around 1170&#xa0;mm/year in the lower reaches (Sahiwal and Khanewal). Groundwater level decline ranged from 0.25&#xa0;m/year in Balloki and Okara to 0.45&#xa0;m/year in Sahiwal and Khanewal. Groundwater salinity (EC) ranged from 0.9 to 11.35 ds/m along the study reach. Single objective functions, OF1 (maximization of satisfaction rate), gave a satisfaction rate (SR) of 61% against net economic benefits (NEB) of 47 million USD. OF2 (maximization of net economic benefits) showed an NEB of 58 million USD against an SR of 40%, and OF3 (minimization of salinity) gave an NEB of 47 million USD against an SR of 53%. The multi-objective function (MOF) to maximize SR and NEB while minimizing system salinity resulted in an SR of 55% with an NEB of 46 million USD. In the crop-prioritized allocation, wheat, cotton, sugarcane, rice, and maize crops attained NEBs of 18, 4, 22, 5, and 1 million USD, with SR of 28, 44, 42, 35, and 32%; wheat performed poorly due to lower surface water availability in January. The multi-objective function approach using SICCON to simultaneously maximize SR and NEB while minimizing salinity resulted in a significantly higher satisfaction rate compared to single-objective function approaches. The proposed model can assist decision-makers in promoting sustainable agricultural development.</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

Impact Assessment of Optimal Water Allocation Using a Linear Model in Lower Bari Doab Canal Command Area

  • 期刊论文

  • 发表日期：

    2025年6月25日

查看全文
  • Atiqa Yasin,
  • Muhammad Awais Zafar,
  • Muhammad Masood,
  • Ghulam Nabi,
  • Mudassar Iqbal

摘要

In this study, a linear model has been formulated using single and multiple objective functions (OFs) to assess the impact of optimal surface and groundwater allocation among various crops, employing simultaneous compromise constraint (SICCON). Results revealed that the average net irrigation requirement (NIR) ranged from 891 mm/year in the upper reaches (Balloki & Okara) to around 1170 mm/year in the lower reaches (Sahiwal and Khanewal). Groundwater level decline ranged from 0.25 m/year in Balloki and Okara to 0.45 m/year in Sahiwal and Khanewal. Groundwater salinity (EC) ranged from 0.9 to 11.35 ds/m along the study reach. Single objective functions, OF1 (maximization of satisfaction rate), gave a satisfaction rate (SR) of 61% against net economic benefits (NEB) of 47 million USD. OF2 (maximization of net economic benefits) showed an NEB of 58 million USD against an SR of 40%, and OF3 (minimization of salinity) gave an NEB of 47 million USD against an SR of 53%. The multi-objective function (MOF) to maximize SR and NEB while minimizing system salinity resulted in an SR of 55% with an NEB of 46 million USD. In the crop-prioritized allocation, wheat, cotton, sugarcane, rice, and maize crops attained NEBs of 18, 4, 22, 5, and 1 million USD, with SR of 28, 44, 42, 35, and 32%; wheat performed poorly due to lower surface water availability in January. The multi-objective function approach using SICCON to simultaneously maximize SR and NEB while minimizing salinity resulted in a significantly higher satisfaction rate compared to single-objective function approaches. The proposed model can assist decision-makers in promoting sustainable agricultural development.