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Analysis and Simulation of Urban Floods
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Analysis and Simulation of Urban Floods

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Urban Water Management".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 2442

Special Issue Editor

Dr. Jiada Li

E-Mail Website
Guest Editor
1. New York State Department of Health, Albany, NY 12204, USA
2. Department of Civil & Environmental Engineering，Colorado State University, Fort Collins, CO, USA
Interests: urban flooding; smart stormwater; urban water; AI; informatics; RTC

Special Issue Information

Dear Colleagues,

Urban flooding poses significant challenges to city infrastructure, public safety, and environmental sustainability. This Special Issue seeks to advance the field of urban flood modeling and analysis by gathering cutting-edge research and innovative methodologies. Our focus encompasses a comprehensive range of topics, including flood modeling, smart stormwater systems, hydroinformatics, and rainfall-runoff processes.

The purpose of the titled Analysis and Simulation of Urban Floods Special Issue is to provide a platform for researchers, practitioners, and policymakers to share their latest findings and practical solutions for managing urban flooding. We aim to address the complexities of urban hydrology, improve predictive flood models, and explore the integration of smart technologies in stormwater management. By doing so, we hope to foster a deeper understanding of urban flooding dynamics and support the development of resilient urban water systems.

This Special Issue will situate itself within the existing literature by building on the foundational theories and models of urban flooding while also introducing novel approaches and technologies like informatics, data science, high-performance modeling, and AI. We invite contributions that employ computational models, innovative techniques, and case studies that highlight the efficacy of new strategies in diverse urban settings. By bridging the gap between traditional hydraulic–hydrological modeling and emerging simulation technologies, this issue will contribute to a more holistic and adaptive approach to urban flood management.

Dr. Jiada Li
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • urban flooding
  • flood modeling
  • smart stormwater systems
  • hydrology
  • rainfall-runoff

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Published Papers (1 paper)

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Research

17 pages, 3710 KiB  
Article
Modeling Operations in System-Level Real-Time Control for Urban Flooding Reduction and Water Quality Improvement—An Open-Source Benchmarked Case
by Jiada Li, Ryan Johnson and Steven Burian
Water 2024, 16(21), 3078; https://doi.org/10.3390/w16213078 - 28 Oct 2024
Cited by 1 | Viewed by 1782
Abstract
Advancements in smart sensing and control technologies enable urban drainage engineers to retrofit stormwater storage facilities with real-time control devices for mitigating stormwater in-site overflow, downstream flooding, and overloaded total suspended solids (TSS) in drainage pipes. While the smart technology can improve the [...] Read more.
Advancements in smart sensing and control technologies enable urban drainage engineers to retrofit stormwater storage facilities with real-time control devices for mitigating stormwater in-site overflow, downstream flooding, and overloaded total suspended solids (TSS) in drainage pipes. While the smart technology can improve the performance of the static drainage systems, coordinatively controlling multiple valve and gate operations poses a significant challenge, especially at a large-scale watershed. Using a benchmark stormwater model located at Ann Arbor, Michigan, USA, we assessed the impact of different real-time control strategies (local individual downstream control and system-level multiple control) on balancing flooding mitigation at downstream outlets and TSS reduction at upstream storage units, such as detention ponds. We examined changes in peak water depth, outflow, and TSS as indicators to assess changes in water quantity and quality. The results indicate that system-level control can reduce peak water depth by up to 7.3%, reduce flood duration by up to 34%, and remove up to 67% of total suspended solids compared with a baseline uncontrolled system, with the outflow from upstream detention ponds being the most important hydraulic indicator for control strategy rule set-up. We find that system-level control does not always outperform the individual downstream controls, particularly in alleviating flooding duration at some downstream outlets. With urban growth and a changing climate, this research provides a foundation for quantifying the benefits of real-time control methods as an adaptive stormwater management solution that addresses both water quantity and quality challenges. Full article
(This article belongs to the Special Issue Analysis and Simulation of Urban Floods)
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