{"title":"Assessment and Management of Drainage Water Quality for Reuse in Irrigation Projects","authors":"A. A. Mutasher, R. J. Al-Saadi, F. Al-Mohammed","doi":"10.1080/23080477.2021.1898795","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"9 1","pages":"80 - 102"},"PeriodicalIF":2.4000,"publicationDate":"2021-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23080477.2021.1898795","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23080477.2021.1898795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 1
Abstract
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.
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