Comparison of infiltration models to describe infiltration characteristics of bioretention

IF 2.4 3区 环境科学与生态学 Q2 ENGINEERING, CIVIL Journal of Hydro-environment Research Pub Date : 2021-09-01 DOI:10.1016/j.jher.2021.08.002
Jianlong Wang , Jianying Song , Hongjun Lin , Liuwei Peng , Kai Li , Zexi Wang
{"title":"Comparison of infiltration models to describe infiltration characteristics of bioretention","authors":"Jianlong Wang ,&nbsp;Jianying Song ,&nbsp;Hongjun Lin ,&nbsp;Liuwei Peng ,&nbsp;Kai Li ,&nbsp;Zexi Wang","doi":"10.1016/j.jher.2021.08.002","DOIUrl":null,"url":null,"abstract":"<div><p>Bioretention is one of low-impact development measures, which widely used not only because it can reduce stormwater runoff total volume, decrease peak flow rate and delay peak flow time, but also can remove the runoff pollutants. Infiltration is an important hydrological process for bioretention to evaluate its runoff total volume reduction and pollutants removal. So, it is important to find an optimal infiltration model that can well describe the infiltration performance of bioretention. The Horton, Philip and Kostiakov infiltration models were selected to compare their accuracy when using for describe the infiltration characteristics of bioretention, and the errors between the different models simulate results and experiment results were assessed via the maximum absolute error (MAE), bias and coefficient of determination (R<sup>2</sup>). The experimental results showed that Horton model is fitting well and flexible under different experiment conditions, especially when the hydraulic head was 10 cm, with MAE of 0.50–0.81 cm/h, bias of 0.1–0.23 cm/h and R<sup>2</sup> of 0.98–0.99. R<sup>2</sup> of the Philip and Kostiakov models were all over than 0.87 at the initial infiltration period, but the model fitting accuracy decreased significantly with infiltration time elapse. Furthermore, the total runoff volume capture ratio and emptying time were advanced used to evaluate the flexibility of Horton model, and the Nash-Sutcliffe efficiency coefficients of them were over than 0.61 and 0.58, respectively. Therefore, the Horton model can be optimal selected to describe the infiltration process of bioretention and for its hydrological evaluation.</p></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydro-environment Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S157064432100054X","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 5

Abstract

Bioretention is one of low-impact development measures, which widely used not only because it can reduce stormwater runoff total volume, decrease peak flow rate and delay peak flow time, but also can remove the runoff pollutants. Infiltration is an important hydrological process for bioretention to evaluate its runoff total volume reduction and pollutants removal. So, it is important to find an optimal infiltration model that can well describe the infiltration performance of bioretention. The Horton, Philip and Kostiakov infiltration models were selected to compare their accuracy when using for describe the infiltration characteristics of bioretention, and the errors between the different models simulate results and experiment results were assessed via the maximum absolute error (MAE), bias and coefficient of determination (R2). The experimental results showed that Horton model is fitting well and flexible under different experiment conditions, especially when the hydraulic head was 10 cm, with MAE of 0.50–0.81 cm/h, bias of 0.1–0.23 cm/h and R2 of 0.98–0.99. R2 of the Philip and Kostiakov models were all over than 0.87 at the initial infiltration period, but the model fitting accuracy decreased significantly with infiltration time elapse. Furthermore, the total runoff volume capture ratio and emptying time were advanced used to evaluate the flexibility of Horton model, and the Nash-Sutcliffe efficiency coefficients of them were over than 0.61 and 0.58, respectively. Therefore, the Horton model can be optimal selected to describe the infiltration process of bioretention and for its hydrological evaluation.

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
描述生物滞留物渗透特性的渗透模型比较
生物滞留是一种低影响开发措施,不仅可以减少雨水径流总量,降低洪峰流量,延迟洪峰时间,而且可以去除径流污染物,因此得到广泛应用。入渗是生物滞留的重要水文过程,可以评价其径流总量减少和污染物去除效果。因此,寻找一个能很好地描述生物滞留渗透性能的最佳渗透模型是很重要的。选择Horton、Philip和Kostiakov模型,比较其描述生物滞留渗透特性的准确性,并通过最大绝对误差(MAE)、偏差和决定系数(R2)评估不同模型模拟结果与实验结果之间的误差。实验结果表明,Horton模型在不同的实验条件下均具有较好的拟合性和灵活性,特别是在水头为10 cm时,MAE为0.50 ~ 0.81 cm/h,偏差为0.1 ~ 0.23 cm/h, R2为0.98 ~ 0.99。Philip和Kostiakov模型在入渗初期R2均大于0.87,但随着入渗时间的延长,模型拟合精度显著降低。提出以总径流量捕获比和排空时间评价Horton模型的灵活性,二者的Nash-Sutcliffe效率系数分别大于0.61和0.58。因此,可以优选Horton模型来描述生物滞留物的入渗过程及其水文评价。
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 Hydro-environment Research
Journal of Hydro-environment Research ENGINEERING, CIVIL-ENVIRONMENTAL SCIENCES
CiteScore
5.80
自引率
0.00%
发文量
34
审稿时长
98 days
期刊介绍: The journal aims to provide an international platform for the dissemination of research and engineering applications related to water and hydraulic problems in the Asia-Pacific region. The journal provides a wide distribution at affordable subscription rate, as well as a rapid reviewing and publication time. The journal particularly encourages papers from young researchers. Papers that require extensive language editing, qualify for editorial assistance with American Journal Experts, a Language Editing Company that Elsevier recommends. Authors submitting to this journal are entitled to a 10% discount.
期刊最新文献
Effect of submergence of sacrificial piles on local scour reduction at a bridge pier under U-type debris jam conditions Drag coefficients and water surface profiles in channels with arrays of linear rigid emergent vegetation Assessment of the impact of greenhouse rainwater harvesting managed aquifer recharge on the groundwater system in the southern Jeju Island, South Korea: Implication from a numerical modeling approach Real-time prediction of the week-ahead flood index using hybrid deep learning algorithms with synoptic climate mode indices Editorial Board
×
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