Examination of the exponential wash-off function using experimental data

Zhen-ren Guo, Nabiihah Abd Salam, Hj Mohd Khairuldini Hj Metali, Asmaal Muizz Sallehhin Hj Mohammad Sultan, S. Shams
{"title":"Examination of the exponential wash-off function using experimental data","authors":"Zhen-ren Guo, Nabiihah Abd Salam, Hj Mohd Khairuldini Hj Metali, Asmaal Muizz Sallehhin Hj Mohammad Sultan, S. Shams","doi":"10.1080/23249676.2022.2125093","DOIUrl":null,"url":null,"abstract":"The standard exponential wash-off function has been widely adopted in urban stormwater quality models and tested in many studies of sediment wash-off experiments. There is neither sufficient information on the wash-off coefficients for other types of pollutant nor a good mathematical interpretation that accounts for the effects of surface features on wash-off processes. This study assesses the standard exponential wash-off function using experimental data on the wash-off of various types of pollutant. In-situ wash-off experiments using simulated rainfalls were conducted in typical urban areas with various landuse. Experimental data from the literature were also analysed to support the examination. Mass balance requirement was always applied as a criterion in the experimental data analysis and wash-off model examination. The experimental results indicate that wash-off processes of organic pollutants (BOD5), nitrate (NO3), total oil and grease (TOG), total petroleum hydrocarbon (TPH) and coliform stochastically comply with the standard exponential function. Highlights In-situ wash-off experiments were conducted for BOD5, NO3, TOG, TPH, coliforms and TSS. Wash-off coefficients of BOD5, NO3, TOG, TPH, coliforms and TSS are identified stochastically. Mass balance requirement is introduced to examine the mathematical interpretations of wash-off models. An improved exponential wash-off function with more input parameters is suggested.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"11 1","pages":"394 - 406"},"PeriodicalIF":1.4000,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Water Engineering and Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23249676.2022.2125093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 1

Abstract

The standard exponential wash-off function has been widely adopted in urban stormwater quality models and tested in many studies of sediment wash-off experiments. There is neither sufficient information on the wash-off coefficients for other types of pollutant nor a good mathematical interpretation that accounts for the effects of surface features on wash-off processes. This study assesses the standard exponential wash-off function using experimental data on the wash-off of various types of pollutant. In-situ wash-off experiments using simulated rainfalls were conducted in typical urban areas with various landuse. Experimental data from the literature were also analysed to support the examination. Mass balance requirement was always applied as a criterion in the experimental data analysis and wash-off model examination. The experimental results indicate that wash-off processes of organic pollutants (BOD5), nitrate (NO3), total oil and grease (TOG), total petroleum hydrocarbon (TPH) and coliform stochastically comply with the standard exponential function. Highlights In-situ wash-off experiments were conducted for BOD5, NO3, TOG, TPH, coliforms and TSS. Wash-off coefficients of BOD5, NO3, TOG, TPH, coliforms and TSS are identified stochastically. Mass balance requirement is introduced to examine the mathematical interpretations of wash-off models. An improved exponential wash-off function with more input parameters is suggested.
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
利用实验数据检验指数冲刷函数
标准指数冲刷函数已被广泛应用于城市雨水质量模型中,并在许多泥沙冲刷实验研究中进行了测试。关于其他类型污染物的冲刷系数,既没有足够的信息,也没有很好的数学解释来解释表面特征对冲刷过程的影响。本研究使用各种类型污染物的冲刷实验数据来评估标准指数冲刷函数。利用模拟降雨在不同土地利用的典型城市地区进行了原位冲刷实验。还对文献中的实验数据进行了分析,以支持这项研究。在实验数据分析和冲刷模型检验中,质量平衡要求一直被用作一个标准。实验结果表明,有机污染物BOD5、硝酸盐NO3、总油脂TOG、总石油烃TPH和大肠菌群的冲刷过程随机符合标准指数函数。重点对BOD5、NO3、TOG、TPH、大肠菌群和TSS进行了原位冲刷实验。对BOD5、NO3、TOG、TPH、大肠菌群和TSS的冲刷系数进行了随机测定。引入质量平衡要求来检验冲刷模型的数学解释。提出了一种具有更多输入参数的改进指数冲刷函数。
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
2.90
自引率
16.70%
发文量
31
期刊介绍: JAWER’s paradigm-changing (online only) articles provide directly applicable solutions to water engineering problems within the whole hydrosphere (rivers, lakes groundwater, estuaries, coastal and marine waters) covering areas such as: integrated water resources management and catchment hydraulics hydraulic machinery and structures hydraulics applied to water supply, treatment and drainage systems (including outfalls) water quality, security and governance in an engineering context environmental monitoring maritime hydraulics ecohydraulics flood risk modelling and management water related hazards desalination and re-use.
期刊最新文献
Reservoir operations under uncertainty with moving-horizon approach and ensemble forecast optimization The effect of upstream soil type on the amount of catchments sediment Suitability of substrate and vegetation for tropical green roofs River bank erosion vulnerability demarcation based on the sensitivity analysis of geotechnical parameters: Majuli Island, India An approach for water allocation with a couple surface and groundwater model
×
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