灌溉工程回用排水水质评价与管理

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES
A. A. Mutasher, R. J. Al-Saadi, F. Al-Mohammed
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引用次数: 1

摘要

摘要如今,随着对灌溉农田的淡水需求的增加,在淡水供应来源严重短缺的情况下,寻找替代品成为弥补这一短缺的持续需求。其中一个重要的替代方案是将排水重新用于灌溉。在本研究中,对伊拉克卡尔巴拉省Al-Husseiniya灌溉项目的农业排水质量进行了评估和管理,以便将这些水重新用于灌溉。巴西水质指数(IWQI)模型用于评估研究区域内的排水和河水质量。此外,通过使用九种混合比例将这些水与河水混合,改善了六个选定站点的排水质量。研究发现,排水的IWQI分类类别中75%的值在严重限制类别SR内,25%的值在高限制类别HR内。此外,结果表明,河流水质在低限制IWQI类别LR内。Al Hussainiyah灌溉项目的图形弃权布局(a),以及(b)各个站点的(IWQI)值的月度变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment and Management of Drainage Water Quality for Reuse in Irrigation Projects
ABSTRACT Nowadays, with the increase of the demand for freshwater used to irrigate the agricultural lands, in the exchange for the severe shortage in the sources of the freshwater supply, the finding of alternatives becomes persistent need to compensate this shortage. One of the important alternatives is the reuse of the drainage water for irrigation. In the present study, the quality of the agricultural drainage water of the Al-Husseiniya irrigation project of Karbala governorate in Iraq is assessed and managed in order to reuse this water for irrigation. The Brazilian Water Quality Index (IWQI) model is used to evaluate the quality of the drainage water and the river water within the study area. As well, the quality of drainage water of six selected stations is improved by blending this water with the river water by using nine blending ratios. It is found that 75% of the values of the IWQI classification category of the drainage water are within the category of severe restriction, SR, and 25% of these values are within the category of high restriction, HR. Also, the results showed that the river water quality is within the IWQI category of low restriction, LR. Graphical abstarctLayout of Al-Hussainiyah irrigation project (a), and (b) The monthly variation of the (IWQI) values of various stations.
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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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