Textile Waste Water Treatment by Using Natural Coagulant (Neem-Azadirachta India)

Shuvendra Mohan, K. Vidhya, Sivakumar C.T, M. Sugnathi, Shanmugavadivu, M. Devi
{"title":"Textile Waste Water Treatment by Using Natural Coagulant (Neem-Azadirachta India)","authors":"Shuvendra Mohan, K. Vidhya, Sivakumar C.T, M. Sugnathi, Shanmugavadivu, M. Devi","doi":"10.34256/irjmtcon90","DOIUrl":null,"url":null,"abstract":"Textile industry processes are among the most environmentally unfriendly industrial process, because they produce colored wastewaters that are heavily polluted the environment. Therefore, wastewater from textile industry has to be treated before being discharged into the environment. In this present study, an attempt has been made to evaluate the effectiveness of locally available natural coagulant Neem leaves powder for reduction of characteristics in the wastewater in order to improve its quality. A common herb like Neem leaves powder is utilized to illuminate and sterilize the water. The coagulant chemicals play the vital role in wastewater treatment. At the same time spending more amounts for these chemical coagulants increase the total treatment cost and become more burdens to the industry. In view of the replacement or reduction of chemical coagulants which are used in wastewater clarification, coagulants which are effective, productive and also free from physio-chemical characteristics are considered. Using natural coagulants is more eco-friendly and sustainable when compared to the chemical coagulants which is biodegradable.","PeriodicalId":14412,"journal":{"name":"International Research Journal of Multidisciplinary Technovation","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Research Journal of Multidisciplinary Technovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34256/irjmtcon90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Textile industry processes are among the most environmentally unfriendly industrial process, because they produce colored wastewaters that are heavily polluted the environment. Therefore, wastewater from textile industry has to be treated before being discharged into the environment. In this present study, an attempt has been made to evaluate the effectiveness of locally available natural coagulant Neem leaves powder for reduction of characteristics in the wastewater in order to improve its quality. A common herb like Neem leaves powder is utilized to illuminate and sterilize the water. The coagulant chemicals play the vital role in wastewater treatment. At the same time spending more amounts for these chemical coagulants increase the total treatment cost and become more burdens to the industry. In view of the replacement or reduction of chemical coagulants which are used in wastewater clarification, coagulants which are effective, productive and also free from physio-chemical characteristics are considered. Using natural coagulants is more eco-friendly and sustainable when compared to the chemical coagulants which is biodegradable.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用天然混凝剂处理纺织废水(印度)
纺织工业过程是最不环保的工业过程之一,因为它们产生的有色废水严重污染环境。因此,纺织工业的废水在排放到环境中之前必须经过处理。在本研究中,我们试图评估当地可用的天然混凝剂印度楝叶粉对降低废水中的特性以提高其质量的有效性。像印度楝叶粉这样的普通草药被用来照亮和消毒水。混凝剂在废水处理中起着至关重要的作用。同时,这些化学混凝剂的花费增加了总处理成本,给行业带来了更大的负担。为了替代或减少用于废水澄清的化学混凝剂,必须考虑有效、高效且不具有物理化学特性的混凝剂。与可生物降解的化学混凝剂相比,使用天然混凝剂更加环保和可持续。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.50
自引率
0.00%
发文量
0
期刊最新文献
Advancing Fault Detection Efficiency in Wireless Power Transmission with Light GBM for Real-Time Detection Enhancement Quantum Chemical Computational Studies on the Structural Aspects, Spectroscopic Properties, Hirshfeld Surfaces, Donor-Acceptor Interactions and Molecular Docking of Clascosterone: A Promising Antitumor Agent Evaluation of Structural Stability of Four-Storied building using Non-Destructive Testing Techniques Diagnosis of COVID-19 in X-ray Images using Deep Neural Networks An Ensemble Classification Model to Predict Alzheimer’s Incidence as Multiple Classes
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1