Development of web-based hydrograph analysis tool considering seasonality and flow condition

IF 2.6 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Journal of The American Water Resources Association Pub Date : 2023-12-17 DOI:10.1111/1752-1688.13178
Dongseok Yang, Seoro Lee, Jonggun Kim, Seongjoon Kim, Bernard Engel, Kyoungjae Lim
{"title":"Development of web-based hydrograph analysis tool considering seasonality and flow condition","authors":"Dongseok Yang,&nbsp;Seoro Lee,&nbsp;Jonggun Kim,&nbsp;Seongjoon Kim,&nbsp;Bernard Engel,&nbsp;Kyoungjae Lim","doi":"10.1111/1752-1688.13178","DOIUrl":null,"url":null,"abstract":"<p>Baseflow was proven to be the most unpredictable component of streamflow through various research. However, the recent method for estimating baseflow is due to the development of theoretical and computational techniques. This paper attempted to develop a fully automated baseflow separation system based on a recursive digital filter with an optimization algorithm for the single separation. Most of the previous baseflow separation methods use a single set of <i>a</i> parameter and BFI<sub>max</sub> (the maximum value of baseflow index), which can underestimate or overestimate the baseflow; however, the system developed in this study estimates multiple optimized <i>a</i> parameters using seasonality and flow conditions and uses them for BFI<sub>max</sub> calculation and baseflow separation. This system derived baseflow results in better understanding of watershed and streamflow tendency characteristics. This study developed a Web-based Hydrograph Analysis Tool 2020 with a user-friendly interface and new separation method regarding the seasonality and flow conditions with a fully automated python module to optimize <i>a</i> parameters and BFI<sub>max</sub>. The application to the two area show diverse parameter sets and different baseflow according to seasonality and flow conditions representing the flow characteristics. This study could be a fundamental tool for detailed watershed management decisions regarding water security in the dry season or environmental water for aquatic ecosystems.</p>","PeriodicalId":17234,"journal":{"name":"Journal of The American Water Resources Association","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The American Water Resources Association","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1752-1688.13178","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Baseflow was proven to be the most unpredictable component of streamflow through various research. However, the recent method for estimating baseflow is due to the development of theoretical and computational techniques. This paper attempted to develop a fully automated baseflow separation system based on a recursive digital filter with an optimization algorithm for the single separation. Most of the previous baseflow separation methods use a single set of a parameter and BFImax (the maximum value of baseflow index), which can underestimate or overestimate the baseflow; however, the system developed in this study estimates multiple optimized a parameters using seasonality and flow conditions and uses them for BFImax calculation and baseflow separation. This system derived baseflow results in better understanding of watershed and streamflow tendency characteristics. This study developed a Web-based Hydrograph Analysis Tool 2020 with a user-friendly interface and new separation method regarding the seasonality and flow conditions with a fully automated python module to optimize a parameters and BFImax. The application to the two area show diverse parameter sets and different baseflow according to seasonality and flow conditions representing the flow characteristics. This study could be a fundamental tool for detailed watershed management decisions regarding water security in the dry season or environmental water for aquatic ecosystems.

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
开发考虑季节性和流量条件的网络水文分析工具
通过各种研究证明,基流是溪流中最难以预测的组成部分。然而,由于理论和计算技术的发展,最近才有了估算基流的方法。本文试图开发一种基于递归数字滤波器的全自动基流分离系统,并采用优化算法进行单一分离。以往的基流分离方法大多使用单组参数和 BFImax(基流指数最大值),这可能会低估或高估基流;而本研究开发的系统利用季节性和流量条件估算出多个优化参数,并将其用于 BFImax 计算和基流分离。通过该系统得出的基流,可以更好地了解流域和溪流趋势特征。本研究开发了基于网络的水文图分析工具 2020,该工具具有友好的用户界面和新的季节性与流量条件分离方法,并带有一个全自动的 python 模块,用于优化参数和 BFImax。对这两个地区的应用显示了不同的参数集,并根据季节性和流量条件显示了不同的基流,代表了流量特征。这项研究可以成为详细流域管理决策的基础工具,用于旱季水安全或水生生态系统的环境用水。
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 The American Water Resources Association
Journal of The American Water Resources Association 环境科学-地球科学综合
CiteScore
4.10
自引率
12.50%
发文量
100
审稿时长
3 months
期刊介绍: JAWRA seeks to be the preeminent scholarly publication on multidisciplinary water resources issues. JAWRA papers present ideas derived from multiple disciplines woven together to give insight into a critical water issue, or are based primarily upon a single discipline with important applications to other disciplines. Papers often cover the topics of recent AWRA conferences such as riparian ecology, geographic information systems, adaptive management, and water policy. JAWRA authors present work within their disciplinary fields to a broader audience. Our Associate Editors and reviewers reflect this diversity to ensure a knowledgeable and fair review of a broad range of topics. We particularly encourage submissions of papers which impart a ''take home message'' our readers can use.
期刊最新文献
Issue Information Issue Information Evaluation of reported and unreported water uses in various sectors of the Potomac basin for the year 2017 Rapid geomorphic assessment walkabouts as a tool for stream mitigation monitoring Sources of seasonal water supply forecast uncertainty during snow drought in the Sierra Nevada
×
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