Determining virtual water, physical and economic indices to optimize agricultural water consumption in three different climates

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES International Journal of Environmental Science and Technology Pub Date : 2024-08-29 DOI:10.1007/s13762-024-05967-0
A. Amini, K. Othman, F. Abassi, M. J. Booij
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Abstract

The use of water productivity indicators for management of water resources is considered in different regions of the world. This research was conducted with the aim of using virtual water and physical and economic productivity indices of water for major agricultural crops to optimize water consumption. The research was conducted for 26 farms in Kurdistan, Iran with three different climates. Reference crop evapotranspiration and effective precipitation were calculated using CROPWAT software. The amount of water consumption was calculated by separating green and blue water and compared with field measurements in the 2017 crop year. To calculate physical productivity and economic productivity, the crop water productivity (CWP) index and the benefit per drop (BPD) and net benefit per drop (NBPD) indices, respectively, were used. The results showed that sugarbeet and barley have the highest and lowest CWP with 4.55 and 0.43 kg/m3, respectively. The measured water consumption in most farms is larger than the calculated values. According to the CWP index, the priority of crop cultivation is sugarbeet, potato, cucumber, apple, alfalfa, wheat and barley. However, BPD and NBPD indicators showed that the priority of cultivation is apple, cucumber, potato, sugarbeet, alfalfa and wheat respectively. The results of the NBPD index showed that apple and barley have the highest and lowest water economic productivity with 54,000 and 2000 IRR/m3, respectively. The findings, elucidating the significance of employing water economic indicators as opposed to water consumption metrics, can serve as a valuable reference for agricultural practices in analogous climatic regions globally.

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确定虚拟水、物理和经济指标,优化三种不同气候条件下的农业用水量
世界不同地区都考虑使用水资源生产率指标来管理水资源。本研究旨在利用主要农作物的虚拟水和物理及经济用水生产率指数来优化用水。研究针对伊朗库尔德斯坦的三种不同气候条件下的 26 个农场进行。使用 CROPWAT 软件计算了参考作物蒸散量和有效降水量。通过分离绿水和蓝水计算出耗水量,并与 2017 作物年度的实地测量结果进行比较。为计算物理生产率和经济生产率,分别使用了作物水分生产率(CWP)指数、每滴水效益(BPD)指数和每滴水净效益(NBPD)指数。结果表明,甜菜和大麦的 CWP 最高和最低,分别为 4.55 和 0.43 公斤/立方米。大多数农场的实测耗水量大于计算值。根据 CWP 指数,作物种植的优先顺序是甜菜、马铃薯、黄瓜、苹果、紫花苜蓿、小麦和大麦。然而,BPD 和 NBPD 指标显示,优先种植的作物分别是苹果、黄瓜、马铃薯、甜菜、紫花苜蓿和小麦。NBPD 指标的结果显示,苹果和大麦的水分经济生产率最高和最低,分别为 54 000 IRR/m3 和 2000 IRR/m3。这些研究结果阐明了采用水经济指标而非耗水指标的意义,可为全球类似气候地区的农业实践提供宝贵的参考。
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来源期刊
CiteScore
5.60
自引率
6.50%
发文量
806
审稿时长
10.8 months
期刊介绍: International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management. A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made. The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.
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