Modelling of Pollutant Transport in Yamuna River from the Najafgarh Drain, NCT Delhi Using Matlab Software

IF 0.7 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Climate Change Pub Date : 2023-09-01 DOI:10.3233/jcc230023
S.K Singh, Priyanka Negi, Karan Arora, Monika
{"title":"Modelling of Pollutant Transport in Yamuna River from the Najafgarh Drain, NCT Delhi Using Matlab Software","authors":"S.K Singh, Priyanka Negi, Karan Arora, Monika","doi":"10.3233/jcc230023","DOIUrl":null,"url":null,"abstract":"When the river Yamuna leaves the National Capital Territory of Delhi, its situation further deteriorates. Despite accounting for only 1% of the river’s overall catchment area, this region is responsible for more than half of the pollutants discovered in the Yamuna. The river Yamuna, on the other hand, is Delhi’s only natural resource for maintaining all forms of life. The Yamuna River is currently experiencing a significant level of pollution problem, and in order to control pollution in the Yamuna River, continual analysis is essential. The Yamuna River is contaminated by the discharge of untreated municipal sewage and industrial effluent through seven major drains: Najafgarh, Yamunapur, Sen Nursing Home, Barathpula, Maharani Bagh, Kalkaji, and Tuglakabad. In terms of people and chemicals, continuous sampling takes time and money. The primary objective of this study is to analyse the wastewater samples collected by sub-drains and STP’s to predict the pollutant transportation in river Yamuna from Najafgarh Drain. The study focusses on the only pollutant, i.e., Biochemical Oxygen Demand from the starting point to after the confluence of Najafgarh Drain into river Yamuna. The prediction is to be done by using MATLAB software. This study would help to identify the main sources of sub-drains which are polluting Najafgarh Drain and eventually the river Yamuna. This shows how MATLAB may be used to calculate the pollution load caused by organic waste in the Yamuna River as it flows through Delhi, India’s National Capital Territory. The model numerically solves a series of differential equations to simulate the dissolved oxygen and biochemical oxygen demand parameters in two dimensions. MATLAB is an interactive programming language that may be used to develop algorithms, graphics, and user interfaces in other computer languages. MATLAB helps estimate future water quality using present data, which saves time, labour, and other costs associated with the continuous study. There are various software programmes available in the market for predicting river water quality, however, MATLAB GUI provides an accessible and convenient user interface (Graphical User Interface).","PeriodicalId":43177,"journal":{"name":"Journal of Climate Change","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Climate Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/jcc230023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

When the river Yamuna leaves the National Capital Territory of Delhi, its situation further deteriorates. Despite accounting for only 1% of the river’s overall catchment area, this region is responsible for more than half of the pollutants discovered in the Yamuna. The river Yamuna, on the other hand, is Delhi’s only natural resource for maintaining all forms of life. The Yamuna River is currently experiencing a significant level of pollution problem, and in order to control pollution in the Yamuna River, continual analysis is essential. The Yamuna River is contaminated by the discharge of untreated municipal sewage and industrial effluent through seven major drains: Najafgarh, Yamunapur, Sen Nursing Home, Barathpula, Maharani Bagh, Kalkaji, and Tuglakabad. In terms of people and chemicals, continuous sampling takes time and money. The primary objective of this study is to analyse the wastewater samples collected by sub-drains and STP’s to predict the pollutant transportation in river Yamuna from Najafgarh Drain. The study focusses on the only pollutant, i.e., Biochemical Oxygen Demand from the starting point to after the confluence of Najafgarh Drain into river Yamuna. The prediction is to be done by using MATLAB software. This study would help to identify the main sources of sub-drains which are polluting Najafgarh Drain and eventually the river Yamuna. This shows how MATLAB may be used to calculate the pollution load caused by organic waste in the Yamuna River as it flows through Delhi, India’s National Capital Territory. The model numerically solves a series of differential equations to simulate the dissolved oxygen and biochemical oxygen demand parameters in two dimensions. MATLAB is an interactive programming language that may be used to develop algorithms, graphics, and user interfaces in other computer languages. MATLAB helps estimate future water quality using present data, which saves time, labour, and other costs associated with the continuous study. There are various software programmes available in the market for predicting river water quality, however, MATLAB GUI provides an accessible and convenient user interface (Graphical User Interface).
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Matlab软件模拟纳贾格尔排水沟在亚穆纳河的污染物输送
当亚穆纳河离开德里的国家首都地区时,它的情况进一步恶化。尽管该地区只占河流总集水区的1%,但在亚穆纳发现的污染物中,有一半以上是由该地区产生的。另一方面,亚穆纳河是德里维持所有生命形式的唯一自然资源。亚穆纳河目前正经历着严重的污染问题,为了控制亚穆纳河的污染,持续的分析是必不可少的。亚穆纳河受到未经处理的城市污水和工业废水的污染,这些污水和工业废水通过七个主要排水口排放:纳贾夫加尔、亚穆纳普尔、森养老院、巴拉特普拉、马哈拉尼巴格、卡尔卡吉和图格拉卡巴德。就人员和化学品而言,连续取样需要时间和金钱。本研究的主要目的是分析子排水沟和STP收集的废水样本,以预测纳贾夫加尔排水沟在亚穆纳河中的污染物运输。研究的重点是唯一的污染物,即Najafgarh Drain汇入Yamuna河后的生化需氧量。利用MATLAB软件进行预测。这项研究将有助于确定污染纳贾夫加尔排水渠和最终污染亚穆纳河的次级排水渠的主要来源。这显示了如何使用MATLAB来计算亚穆纳河流经印度国家首都地区德里时有机废物造成的污染负荷。该模型通过数值求解一系列微分方程,在二维空间上模拟溶解氧和生化需氧量参数。MATLAB是一种交互式编程语言,可用于在其他计算机语言中开发算法、图形和用户界面。MATLAB帮助使用当前数据估计未来的水质,从而节省了时间、劳动力和与持续研究相关的其他成本。市场上有各种各样的预测河流水质的软件程序,然而,MATLAB GUI提供了一个易于访问和方便的用户界面(图形用户界面)。
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
Journal of Climate Change
Journal of Climate Change METEOROLOGY & ATMOSPHERIC SCIENCES-
自引率
16.70%
发文量
18
期刊最新文献
Review on Climate Smart Agriculture Practice: A Global Perspective Disruption in Agricultural Pattern Due to Unpredictable Weather Conditions and its Effect on Farmer’s Family of Kishanganj District of Bihar Synergising Simulated Annealing and Generative Adversarial Network for Enhanced Wind Data Imputation in Climate Change Modelling Advancing Flood Risk Assessment through Integrated Hazard Mapping: A Google Earth Engine-Based Approach for Comprehensive Scientific Analysis and Decision Support Trend Analysis of Maximum and Minimum Temperature in Can Tho City, Viet Nam
×
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