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Novel Techniques for Water Resources in a Changing Climate: Hydrological Strategies for a Sustainable Future

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Water Management".

Deadline for manuscript submissions: 20 September 2025 | Viewed by 1134

Special Issue Editors

Dr. Hossein Hamidifar

E-Mail Website
Guest Editor
Department of Hydrology and Hydrodynamics, Institute of Geophysics, Polish Academy of Sciences, 01-452 Warsaw, Poland
Interests: water resources; flood; river engineering and management; water quality; eco-hydrology
Dr. Ghufran Ahmed Pasha

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Engineering & Technology, Taxila 47050, Pakistan
Interests: river engineering; sediment transport; fluid dynamics; ecosystem-based disaster risk reduction (Eco-DRR); computational fluid dynamics (CFD); artificial intelligence (AI)
Dr. Charalampos Skoulikaris

E-Mail Website
Guest Editor
Department of Civil Engineering, School of Engineering, Aristotle University of Thessaloniki, GR54124 Thessaloniki, Greece
Interests: sustainable and integrated water resources management; hydroinformatics; engineering hydrology and modelling; simulation of hydroelectric projects; climate change and integration to water resources
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite you to submit research papers to the upcoming Special Issue, "Novel Techniques for Water Resources in a Changing Climate: Hydrological Strategies for a Sustainable Future". This issue aims to bring together innovative and interdisciplinary research that addresses the complex challenges climate change poses to global water resources. We welcome contributions that explore novel techniques such as machine learning, multicriteria decision-making, and experimental, field, or numerical modeling to offer sustainable hydrological strategies.

This Special Issue will focus on a wide range of critical topics including, but not limited to:

  • Climate change’s impacts on water resources (rivers, lakes, reservoirs, etc.).
  • Floods, droughts, and sediment budget management.
  • Water quality and pollutant transport.
  • Safety and resilience strategies for infrastructures against extreme hydrological events.
  • Socio-economic implications of climate change on hydrological systems.

This Special Issue is a unique opportunity to contribute to the body of knowledge on sustainability, particularly regarding climate resilience and the sustainable management of water resources. Submissions should provide insights into the development of new tools, applications, policies, and integrated strategies for addressing these challenges.

We encourage contributions that will help define, quantify, and measure sustainability in water resource management, contributing to a comprehensive and adaptive response to climate change.

Dr. Hossein Hamidifar
Dr. Ghufran Ahmed Pasha
Dr. Charalampos Skoulikaris
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. Sustainability 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 2400 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

  • water resources management
  • climate change
  • hydrological modeling
  • sustainability
  • machine learning
  • flood and drought risk
  • sediment transport
  • water quality
  • socio-economic impacts
  • resilience strategies

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

Published Papers (2 papers)

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Research

23 pages, 31476 KiB  
Article
Integrated Risk Assessment of Floods and Landslides in Kohistan, Pakistan
by Taliah Sajid, Sakina Khuzema Maimoon, Muhammad Waseem, Shiraz Ahmed, Muhammad Arsalan Khan, Jens Tränckner, Ghufran Ahmed Pasha, Hossein Hamidifar and Charalampos Skoulikaris
Sustainability 2025, 17(8), 3331; https://doi.org/10.3390/su17083331 - 9 Apr 2025
Viewed by 345
Abstract
Climate change and global warming have increased the frequency and intensity of natural hazards such as floods, landslides, and avalanches. These hazards not only have significant individual impacts but are also interconnected, often amplifying their destructive effects. Therefore, it is crucial to manage [...] Read more.
Climate change and global warming have increased the frequency and intensity of natural hazards such as floods, landslides, and avalanches. These hazards not only have significant individual impacts but are also interconnected, often amplifying their destructive effects. Therefore, it is crucial to manage their consequences and ensure that communities and infrastructure are resilient enough to withstand these challenges. Given the limited research assessing the collective impact of natural hazards, particularly in Pakistan, this study investigates the effects of floods and landslides in the Kohistan District of northern Pakistan, an area which is highly vulnerable to such hazards yet minimally studied. Machine learning techniques, including the Analytical Hierarchy Process (AHP) and weighted overlay, along with geographic information systems (GISs) and remote sensing (RS), were employed to analyze the causative factors of these hazards. The resulting flood risk and landslide risk maps were then superimposed to produce an integrated dual-hazard risk assessment. The research findings serve as a foundation for policy-making, offering strategies to reduce risks for all stakeholders, implement adaptive measures for communities, and ensure that future developments are both resilient and sustainable. Full article
(This article belongs to the Special Issue Novel Techniques for Water Resources in a Changing Climate: Hydrological Strategies for a Sustainable Future)
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25 pages, 19863 KiB  
Article
Response of the Evolution of Basin Hydrometeorological Drought to ENSO: A Case Study of the Jiaojiang River Basin in Southeast China
by He Qiu, Hao Chen, Yijing Chen, Chuyu Xu, Yuxue Guo, Saihua Huang, Hui Nie and Huawei Xie
Sustainability 2025, 17(6), 2616; https://doi.org/10.3390/su17062616 - 16 Mar 2025
Viewed by 320
Abstract
Drought is one of the most widespread natural disasters globally, and its spatiotemporal distribution is profoundly influenced by the El Niño-Southern Oscillation (ENSO). As a typical humid coastal basin, the Jiaojiang River Basin in southeastern China frequently experiences hydrological extremes such as dry [...] Read more.
Drought is one of the most widespread natural disasters globally, and its spatiotemporal distribution is profoundly influenced by the El Niño-Southern Oscillation (ENSO). As a typical humid coastal basin, the Jiaojiang River Basin in southeastern China frequently experiences hydrological extremes such as dry spells during flood seasons. This study focuses on the Jiaojiang River Basin, aiming to investigate the response mechanisms of drought evolution to ENSO in coastal regions. This study employs 10-day scale data from 1991 to 2020 to investigate the drought mechanisms driven by ENSO through a comprehensive framework that combines standardized indices with climate–drought correlation analysis. The results indicate that the Comprehensive Drought Index (CDI), integrating the advantages of the Standardized Precipitation Index (SPI) and Standardized Runoff Index (SRI), effectively reflects the basin’s combined meteorological and hydrological wet-dry characteristics. A strong response relationship exists between drought indices in the Jiaojiang River Basin and ENSO events. Drought characteristics in the basin vary significantly during different ENSO phases. The findings can provide theoretical support for the construction of resilient regional water resource systems, and the research framework holds reference value for sustainable development practices in similar coastal regions globally. Full article
(This article belongs to the Special Issue Novel Techniques for Water Resources in a Changing Climate: Hydrological Strategies for a Sustainable Future)
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