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Advancing Hydro-Environmental Research and Practice: Integrating Ecohydrology, Remote Sensing and Hydroinformatics

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

Deadline for manuscript submissions: 30 January 2026 | Viewed by 240

Special Issue Editors


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Guest Editor
Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: environmental fluid mechanics; ecohydraulics; sediment transport; earth surface processes; turbulence; flow and particle transport measurement and instrumentation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department M3 Fluvial Morphology, Sediment Dynamics and Management, Federal Institute of Hydrology, 56068 Koblenz, Germany
Interests: river morphology; sediment dynamics and management

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Guest Editor
Civil Engineering Research and Innovation for Sustainability, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisbon, Portugal
Interests: hydraulic engineering; river morphodynamics; sediment transport flow-structure interactions; ecohydrology; remote sensing applications; hydroinformatics tools
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on cutting-edge advancements in hydraulic measurements and instrumentation, highlighting their integration with ecohydrology, remote sensing, and hydroinformatics to address water-related challenges in rivers, estuaries, and coastlines. Innovations in sensor technologies, such as laser-based systems (e.g., 3D Laser Doppler Velocimetry), acoustic methods (e.g., Acoustic Doppler Current Profilers), and drone-enabled optical techniques (e.g., Large-Scale Particle Image Velocimetry), have revolutionized the ability to monitor flow dynamics, sediment transport, and aquatic ecosystems with unprecedented precision. Remote sensing technologies, including LiDAR and hyperspectral imaging, offer large-scale insights into hydrological processes such as vegetation dynamics and water quality. Combining these tools with hydroinformatics—including AI-driven predictive modeling and real-time decision support systems—enables the comprehensive analysis of hydrodynamic processes and ecosystem interactions across diverse spatiotemporal scales. This Special Issue emphasizes interdisciplinary approaches that integrate hydraulic measurements with ecohydrological models to evaluate ecosystem services, improve water management strategies, and foster sustainable practices.

By bridging traditional measurement techniques with modern technologies, this Special Issue provides a platform for researchers and practitioners to explore innovative applications in water resource management, habitat restoration, flood mitigation, and beyond.

Dr. Manousos Valyrakis
Dr. Gudrun Hillebrand
Dr. Rui M. L. Ferreira
Guest Editors

Manuscript Submission Information

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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. 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

  • hydraulic measurements
  • ecohydrology
  • remote sensing
  • hydroinformatics
  • sediment transport
  • laser doppler velocimetry
  • acoustic methods
  • lidar technology
  • predictive modeling
  • sustainable water management

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Published Papers (1 paper)

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Research

20 pages, 2655 KB  
Article
Experimental Assessment of Vegetation Density and Orientation Effects on Flood-Induced Pressure Forces and Structural Accelerations
by Imran Qadir, Afzal Ahmed, Abdul Razzaq Ghumman, Manousos Valyrakis, Syed Saqib Mehboob, Ghufran Ahmed Pasha, Fakhar Muhammad Abbas and Irfan Qadir
Water 2025, 17(19), 2879; https://doi.org/10.3390/w17192879 - 2 Oct 2025
Abstract
This study aims to assess the effect of vegetation angle and density on hydrostatic pressure and acceleration of a downstream house model experimentally. The vegetation cylinders were positioned at angles 30°, 45°, 60° and 90° with respect to the flow and two densities [...] Read more.
This study aims to assess the effect of vegetation angle and density on hydrostatic pressure and acceleration of a downstream house model experimentally. The vegetation cylinders were positioned at angles 30°, 45°, 60° and 90° with respect to the flow and two densities of vegetation conditions, i.e., sparse (G/d = 2.13) and intermediate (G/d = 1.09), where G is the spacing between the model vegetation elements in the cross-stream di-rection and d is the vegetation diameter. The streamwise acceleration of the house model was measured by an X2-2 accelerometer that was located downstream from the vegetation patches. Results show that the perpendicular orientation of the vegetation patch (90°) most effectively reduces hydrodynamic loads, with intermediate density (I90) achieving the highest reductions, i.e., 22.1% for acceleration and 7.4% for pressure impacts. Even sparse vegetation (S90) provided substantial protection, reducing acceleration by 21.9% and pressure by 5.8%. These findings highlight the importance of integrating vegetation density and orientation into flood management designs to enhance both their performance and reliability under varying hydraulic conditions. Full article
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