The 10th Anniversary of Hydrology: Inaugurating a New Research Decade

A special issue of Hydrology (ISSN 2306-5338).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1505

Special Issue Editors


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Guest Editor
Water Resources Engineering, Newcastle University, Newcastle, UK
Interests: hydrological modelling; hydrology and water resources management; climate change impact assessment; flood risk estimation and management; rainfall modelling; earth systems engineering

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Guest Editor
Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milan, Italy
Interests: river hydraulics and hydro-morphology; bed-load sediment transport; scour processes; river morphology; sediment yield from mountain catchments; flood risk
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Guest Editor
Biological and Environmental Engineering, Cornell University, Ithaca, NY 14850, USA
Interests: watershed management; catchment processes; agricultural water management erosion; best management practices; groundwater quality; vadose zone transport; preferential flow
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Guest Editor
National Research Council (CNR), Institute for Agricultural and Forest Systems in the Mediterranean (ISAFOM), Via Cavour 4/6, 87936 Rende, Italy
Interests: hydrology; climatology; climate change; natural hazards; land use chance; forest ecology
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Italian Hydrological Society, Piazza di Porta San Donato 1, 40126 Bologna, Italy
Interests: hydrological modeling; real-time flood forecasting; predictive uncertainty assessment; Kalman filters; Bayesian statistics and decision; water resources management
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Special Issue Information

Dear Colleagues,

In 2024, we are celebrating the 10th anniversary of the journal Hydrology (ISSN 2306-5338). Since 2014, when the inaugural issue of Hydrology was launched, we have already published more than 1000 papers from over 3800 authors. Nearly 2200 reviewers have submitted at least one review report. In 2023, Hydrology received its first Impact Factor of 3.2 in Web of Science. Our sincerest thanks go to our readers, innumerable authors, anonymous peer reviewers, editors, and all the people working for the journal in some way who have contributed their efforts over the years. These highlights would not have occurred without your participation.

To mark this significant milestone, a Special Issue entitled “The 10th Anniversary of Hydrology: Inaugurating a New Research Decade” is being launched.

This Special Issue invites high-quality papers under the broad scope of Hydrology, specifically but not exclusively in the following areas:

  • Attribution and Projection of Changes in Hydrology: statistically significant evidence of change; separation of the effects of land use change; natural climatic variability, and anthropogenic climate change; analysis, limitations, and validation of methods for projecting change including stochastic modelling, GCM ensembles, etc.; approaches to improving adaptation measures using projections.
  • Identifying Sources and Pathways of Contaminants and Pathogens: contaminants such as microplastics, microbial pathogens, pharmaceuticals and other anthropogenic substances within rural and urban landscapes; using innovative monitoring and modeling techniques; best management practices to reduce impact.
  • Advances in Global Hydrology: use of satellite data and historic global data sets to gain a new understanding of the evolution of the hydrological cycle, floods, and droughts; advanced hydrological observation networks; high resolution global hydrological models; advanced data assimilation techniques.
  • Building Flood Resilience: effectiveness of flood forecasting and warning systems; decision-making based on probabilistic forecasts; agent-based modeling of human responses; modelling adaptation for urban areas.
  • Hydrology of Ecosystems: climatic and hydrologic controls on the spatial and temporal evolution of ecosystems; impacts of human activities such as urbanization, deforestation, and agriculture; wetlands hydrology; effectiveness of nature-based response measures.
  • Sustainable Water Resource Management: Comprehensive approaches to managing water resources that consider social, economic, and environmental factors. Integrated solutions that balance water supply, demand, and quality across various sectors. Restoration of impacted hydrological regimes. Modelling the human dimension of water use. Improved collaboration between hydrologists and decision-makers.

We would like to invite you to contribute an original research paper or a comprehensive review article on a trending or hot topic for peer review and possible publication.

Prof. Dr. Ezio Todini
Dr. Alessio Radice
Prof. Dr. Tammo Steenhuis
Dr. Tommaso Caloiero
Prof. Dr. Enda O'Connell
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. Hydrology 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

  • global hydrology
  • water quality
  • water management
  • ecohydrology
  • hydrological cycle

Published Papers (1 paper)

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Research

22 pages, 2747 KiB  
Article
Utilizing Hybrid Machine Learning Techniques and Gridded Precipitation Data for Advanced Discharge Simulation in Under-Monitored River Basins
by Reza Morovati and Ozgur Kisi
Hydrology 2024, 11(4), 48; https://doi.org/10.3390/hydrology11040048 - 04 Apr 2024
Viewed by 854
Abstract
This study addresses the challenge of utilizing incomplete long-term discharge data when using gridded precipitation datasets and data-driven modeling in Iran’s Karkheh basin. The Multilayer Perceptron Neural Network (MLPNN), a rainfall-runoff (R-R) model, was applied, leveraging precipitation data from the Asian Precipitation—Highly Resolved [...] Read more.
This study addresses the challenge of utilizing incomplete long-term discharge data when using gridded precipitation datasets and data-driven modeling in Iran’s Karkheh basin. The Multilayer Perceptron Neural Network (MLPNN), a rainfall-runoff (R-R) model, was applied, leveraging precipitation data from the Asian Precipitation—Highly Resolved Observational Data Integration Toward Evaluation (APHRODITE), Global Precipitation Climatology Center (GPCC), and Climatic Research Unit (CRU). The MLPNN was trained using the Levenberg–Marquardt algorithm and optimized with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Input data were pre-processed through principal component analysis (PCA) and singular value decomposition (SVD). This study explored two scenarios: Scenario 1 (S1) used in situ data for calibration and gridded dataset data for testing, while Scenario 2 (S2) involved separate calibrations and tests for each dataset. The findings reveal that APHRODITE outperformed in S1, with all datasets showing improved results in S2. The best results were achieved with hybrid applications of the S2-PCA-NSGA-II for APHRODITE and S2-SVD-NSGA-II for GPCC and CRU. This study concludes that gridded precipitation datasets, when properly calibrated, significantly enhance runoff simulation accuracy, highlighting the importance of bias correction in rainfall-runoff modeling. It is important to emphasize that this modeling approach may not be suitable in situations where a catchment is undergoing significant changes, whether due to development interventions or the impacts of anthropogenic climate change. This limitation highlights the need for dynamic modeling approaches that can adapt to changing catchment conditions. Full article
(This article belongs to the Special Issue The 10th Anniversary of Hydrology: Inaugurating a New Research Decade)
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