Hydrological Modeling and Sustainable Water Resources Management, 2nd Edition

A special issue of Environments (ISSN 2076-3298).

Deadline for manuscript submissions: 25 April 2026 | Viewed by 663

Special Issue Editors


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Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
Interests: hydrological modeling; wastewater modeling; uncertainty analysis; machine learning; life cycle assessment
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Guest Editor
School of Management, Chengdu University of Information Technology, Chengdu, China
Interests: environmental risk analysis; water quality management; uncertainty analysis; data-driven modeling
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Guest Editor
1. SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Beijing, China
2. CAS Center for Excellence in Quaternary Science and Global Change, Xi'an, China
Interests: hydrology; ground water; surface water; geology; water quality assessment; geochemistry; chemical weathering
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Department of Civil Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
Interests: uncertainty analysis; risk management; stochastic modelling; water resources management; climate change impacts; environmental systems analysis
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Special Issue Information

Dear Colleagues,

Hydrological modeling and the sustainable management of water resources play a vital role in addressing the complicated challenges related to water availability, quality, and sustainability. For instance, hydrological models are essential for flood control, while the management of water resources facilitates sustainable socio-economic development.

In the era of increasing water stress, this Special Issue, entitled ‘Hydrological Modeling and Sustainable Water Resources Management’, serves as a platform for researchers to demonstrate problem-solving wisdom in this critical field. Our aim is to present innovative solutions and share cutting-edge research that can inspire, enhance and transform the way we model and manage water resources.

This Special Issue welcomes contributions that push the boundaries of hydrological modeling and offer insights into the effective management of water resources. We encourage submissions that explore emerging trends such as machine learning, remote sensing, digital twins, and data assimilation techniques to enhance our understanding of hydrological processes. Additionally, studies of computer simulation, risk analysis, and decision support for water resources are welcomed. Complementing these topics, this Special Issue seeks to encompass the latest developments in environmental modeling and technology, delve into environmental management, and highlight the critical role of environmental impact and risk assessment.

The publications in the first edition, which we believe may be of interest to you, can be found at https://www.mdpi.com/journal/environments/special_issues/Y7B58VLDV4.

You may choose our Joint Special Issue in Hydrology.

Dr. Pengxiao Zhou
Dr. Qianqian Zhang
Prof. Dr. Fei Zhang
Dr. Zoe Li
Guest Editors

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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. Environments is an international peer-reviewed open access monthly 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 1800 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

  • hydrological modeling
  • data-driven models
  • human activity impacts on water quantity and quality
  • nonstationary rainfall runoff
  • runflow prediction
  • extreme event causality, impact and prediction
  • climate change impacts and adaptation
  • water resource management
  • flood and drought risks
  • risk analysis and management

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Published Papers (1 paper)

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Research

21 pages, 6165 KiB  
Article
Hydrological Transformation and Societal Perception of Urban Pluvial Flooding in a Karstic Watershed: A Case Study from the Southern Mexican Caribbean
by Cristina C. Valle-Queb, David G. Rejón-Parra, José M. Camacho-Sanabria, Rosalía Chávez-Alvarado and Juan C. Alcérreca-Huerta
Environments 2025, 12(7), 237; https://doi.org/10.3390/environments12070237 - 10 Jul 2025
Viewed by 559
Abstract
Urban pluvial flooding (UPF) is an increasingly critical issue due to rapid urbanization and intensified precipitation driven by climate change that yet remains understudied in the Caribbean. This study analyzes the effects of UPF resulting from the transformation of a natural karstic landscape [...] Read more.
Urban pluvial flooding (UPF) is an increasingly critical issue due to rapid urbanization and intensified precipitation driven by climate change that yet remains understudied in the Caribbean. This study analyzes the effects of UPF resulting from the transformation of a natural karstic landscape into an urbanized area considering a sub-watershed in Chetumal, Southern Mexican Caribbean, as a case study. Hydrographic numerical modeling was conducted using the IBER 2.5.1 software and the SCS-CN method to estimate surface runoff for a critical UPF event across three stages: (i) 1928—natural condition; (ii) 1998—semi-urbanized (78% coverage); and (iii) 2015—urbanized (88% coverage). Urbanization led to the orthogonalization of the drainage network, an increase in the sub-watershed area (20%) and mainstream length (33%), flow velocities rising 10–100 times, a 52% reduction in surface roughness, and a 32% decrease in the potential maximum soil retention before runoff occurs. In urbanized scenarios, 53.5% of flooded areas exceeded 0.5 m in depth, compared to 16.8% in non-urbanized conditions. Community-based knowledge supported flood extent estimates with 44.5% of respondents reporting floodwater levels exceeding 0.50 m, primarily in streets. Only 43.1% recalled past flood levels, indicating a loss of societal memory, although risk perception remained high among directly affected residents. The reported UPF effects perceived in the area mainly related to housing damage (30.2%), mobility disruption (25.5%), or health issues (12.9%). Although UPF events are frequent, insufficient drainage infrastructure, altered runoff patterns, and limited access to public shelters and communication increased vulnerability. Full article
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