Advancing Data-Driven Approaches in Landscape Hydrology: Innovations and Applications
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Urban Water Management".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 628
Special Issue Editors
Interests: landscape hydrology; stormwater management; urban planning; landscape architecture; green infrastructure; nature-based solutions
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning in hydrology; spatiotemporal data mining; remote sensing applications; streamflow and runoff prediction; climate change impact assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the era of big data and artificial intelligence, data-driven approaches are revolutionizing landscape hydrology by enhancing our ability to analyze, model, and predict hydrological processes across diverse spatial and temporal scales. This Special Issue aims to showcase cutting-edge research that integrates advanced computational methods, remote sensing, machine learning, and hydrological modeling to address key challenges in water resources management, flood risk assessment, climate change adaptation, and sustainable landscape planning.
We welcome contributions that explore novel methodologies, interdisciplinary frameworks, and real-world applications in the following areas:
- Machine learning and AI applications in hydrological modeling;
- Remote sensing and GIS-based hydrological analysis;
- Hydroinformatics and big data analytics in water resource management;
- Climate change impacts on landscape hydrology;
- Nature-based solutions for flood and drought mitigation;
- Coupled human-nature systems in hydrological research.
By bringing together innovative research and practical applications, this Special Issue aims to foster the development of more resilient and sustainable hydrological systems in the face of global environmental change.
Dr. Mo Wang
Dr. Rana Muhammad Adnan Ikram
Dr. Shiqi Zhou
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
- data-driven hydrology
- machine learning in hydrology
- hydroinformatics
- climate change adaptation
- nature-based solutions
- GIS-based hydrological modeling
- flood and drought mitigation
- sustainable water management
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