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Advances in Water and Stormwater Networks: Modelling and Pollutant Degradation, 2nd Edition

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

Deadline for manuscript submissions: 23 February 2026 | Viewed by 1147

Special Issue Editors


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Guest Editor
School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200433, China
Interests: water treatment; endocrine disruption estrogens; water purification technologies; water analysis; drinking water quality; water chemistry; disinfection byproducts; water purification; water quality research in water distribution systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China
Interests: water treatment; advanced oxidation processes; advanced reduction processes; sonochemistry in environmental remediation; disinfection byproducts (DBPs)
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China
Interests: bioelectrochemistry; electrochemistry; molecular biology; advanced oxidation processes; sewage and sludge treatment and resource recovery

Special Issue Information

Dear Colleagues,

We invite you to submit a manuscript to this Special Issue, entitled “Advances in Water and Stormwater Networks: Modelling and Pollutant Degradation, 2nd Edition”.

Water is an international, cross-disciplinary, peer-reviewed, open access journal that features innovative research papers and visionary perspectives. The journal welcomes articles that address all aspects of the science and technology of water reuse, water quality sensing, and water management.

Research articles must provide full methodical and/or experimental details, and we encourage scientists to publish their research in as much detail as possible. Computed data or files regarding the full details of the experimental procedure or model set-up, if unable to be published as part of the main manuscript, can be deposited as supplementary materials.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • Mathematical modeling, systems analysis and machine learning related to urban water networks and urban hydrological evaluation and prediction;
  • Remediation processes for pollutants in water and the degradation transfer process;
  • Contaminants in water (anthropogenic pollutants such as nanomaterials, microplastics, disinfection by-products, PPCPs, etc.) and water quality evaluation.

This Special Issue belongs to the section “Urban Water Management”.

Prof. Dr. Cong Li
Dr. Yuqiong Gao
Dr. Yunshu Zhang
Guest Editors

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 water contamination
  • disinfection byproducts
  • advanced oxidation
  • bioremediation
  • network leakage simulation
  • urban hydrology and modeling

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

23 pages, 5960 KB  
Article
Comprehensive Evaluation of Urban Storm Flooding Resilience by Integrating AHP–Entropy Weight Method and Cloud Model
by Zhangao Huang and Cuimin Feng
Water 2025, 17(17), 2576; https://doi.org/10.3390/w17172576 - 31 Aug 2025
Viewed by 997
Abstract
To address urban flooding challenges exacerbated by climate change and urbanization, this study develops an integrated assessment framework combining the analytic hierarchy process (AHP), entropy weight method, and cloud model to quantify urban flood resilience. Resilience is deconstructed into resistance, adaptability, and recovery [...] Read more.
To address urban flooding challenges exacerbated by climate change and urbanization, this study develops an integrated assessment framework combining the analytic hierarchy process (AHP), entropy weight method, and cloud model to quantify urban flood resilience. Resilience is deconstructed into resistance, adaptability, and recovery and evaluated through 24 indicators spanning water resources, socio-economic systems, and ecological systems. Subjective (AHP) and objective (entropy) weights are optimized via minimum information entropy, with the cloud model enabling qualitative–quantitative resilience mapping. Analyzing 2014–2024 data from 27 Chinese sponge city pilots, the results show resilience improved from “poor to average” to “good to average”, with a 2.89% annual growth rate. Megacities like Beijing and Shanghai excel in resistance and recovery due to infrastructure and economic strengths, while cities like Sanya enhance resilience via ecological restoration. Key drivers include water allocation (27.38%), economic system (18.41%), and social system (17.94%), with critical indicators being population density, secondary industry GDP ratio, and sewage treatment rate. Recommendations emphasize upgrading rainwater storage, intelligent monitoring networks, and resilience-oriented planning. The model offers a scientific foundation for urban disaster risk management, supporting sustainable development. This approach enables systematic improvements in adaptive capacity and recovery potential, providing actionable insights for global flood-resilient urban planning. Full article
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