Adapting to future changes using smart stormwater storage systems to preserve flow regimes

IF 3.1 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Ruijie Liang , Mark A. Thyer , Holger R. Maier , Graeme C. Dandy , Emily Z. Berglund
{"title":"Adapting to future changes using smart stormwater storage systems to preserve flow regimes","authors":"Ruijie Liang ,&nbsp;Mark A. Thyer ,&nbsp;Holger R. Maier ,&nbsp;Graeme C. Dandy ,&nbsp;Emily Z. Berglund","doi":"10.1016/j.hydroa.2025.100206","DOIUrl":null,"url":null,"abstract":"<div><div>Worldwide, stormwater systems are increasingly stressed due to increased rainfall and runoff caused by climate change and urbanization. Traditional static strategies for addressing these challenges, including increasing infrastructure capacity, are often inadequate as they are not suited to dealing with large uncertainties. In contrast, adaptive strategies, such as smart real-time control (RTC), are suited to dealing with such uncertainties, as they are able to respond to future changes as they occur. However, existing RTC approaches are not truly adaptive, as they require information on future rainfall. In this paper, we modify an existing RTC approach that does not require such information so that it is able to match desired outflow hydrographs in the face of changing inflow hydrographs. The utility of the proposed Target Flow Control for Hydrographs (TFC-H) approach is demonstrated by simulating its ability to achieve desired target flow hydrographs for multiple future worlds of a simplified lot-scale system, in which peak flows increase from 7 % to 95 % and storm volumes increase from 25 % to 57 %. The results show that use of the TFC-H approach effectively maintains the desired target outflow hydrograph with less than 5 % error for this wide range of “future worlds”. Importantly, unlike other RTC approaches, the TFC-H approach is able to adapt without any knowledge/predictions of future rainfall/inflow hydrographs. This clearly demonstrates the potential of the TFC-H approach to enable existing stormwater systems to adapt to future changes.</div></div>","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":"28 ","pages":"Article 100206"},"PeriodicalIF":3.1000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589915525000070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Worldwide, stormwater systems are increasingly stressed due to increased rainfall and runoff caused by climate change and urbanization. Traditional static strategies for addressing these challenges, including increasing infrastructure capacity, are often inadequate as they are not suited to dealing with large uncertainties. In contrast, adaptive strategies, such as smart real-time control (RTC), are suited to dealing with such uncertainties, as they are able to respond to future changes as they occur. However, existing RTC approaches are not truly adaptive, as they require information on future rainfall. In this paper, we modify an existing RTC approach that does not require such information so that it is able to match desired outflow hydrographs in the face of changing inflow hydrographs. The utility of the proposed Target Flow Control for Hydrographs (TFC-H) approach is demonstrated by simulating its ability to achieve desired target flow hydrographs for multiple future worlds of a simplified lot-scale system, in which peak flows increase from 7 % to 95 % and storm volumes increase from 25 % to 57 %. The results show that use of the TFC-H approach effectively maintains the desired target outflow hydrograph with less than 5 % error for this wide range of “future worlds”. Importantly, unlike other RTC approaches, the TFC-H approach is able to adapt without any knowledge/predictions of future rainfall/inflow hydrographs. This clearly demonstrates the potential of the TFC-H approach to enable existing stormwater systems to adapt to future changes.

Abstract Image

使用智能雨水储存系统来适应未来的变化,以保持水流状态
在世界范围内,由于气候变化和城市化导致的降雨和径流增加,雨水系统的压力越来越大。应对这些挑战的传统静态战略,包括增加基础设施容量,往往是不够的,因为它们不适合处理巨大的不确定性。相比之下,自适应策略,如智能实时控制(RTC),适合于处理这种不确定性,因为它们能够对未来发生的变化做出反应。然而,现有的RTC方法并不真正具有适应性,因为它们需要关于未来降雨量的信息。在本文中,我们修改了现有的不需要这些信息的RTC方法,以便它能够在面对变化的流入水线时匹配所需的流出水线。提出的目标流量控制水文(TFC-H)方法的实用性通过模拟其在简化的批量系统的多个未来世界中实现所需目标流量水文的能力来证明,其中峰值流量从7%增加到95%,风暴量从25%增加到57%。结果表明,对于这种大范围的“未来世界”,使用TFC-H方法有效地保持了期望的目标流出线,误差小于5%。重要的是,与其他RTC方法不同,TFC-H方法能够在不了解或预测未来降雨量/流入水文曲线的情况下进行调整。这清楚地显示了TFC-H方法在使现有雨水系统适应未来变化方面的潜力。
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 求助全文
来源期刊
Journal of Hydrology X
Journal of Hydrology X Environmental Science-Water Science and Technology
CiteScore
7.00
自引率
2.50%
发文量
20
审稿时长
25 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信