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Frontiers in Hydrologic Dynamics, Analytics and Predictability

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: closed (30 December 2022) | Viewed by 3204

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
Meteoceanics Institute for Complex System Science, Washington, DC 20004, USA
Interests: physics of complex systems; information theory; nonlinear statistical physics; nonlinear dynamics; nonlinear statistics; fluid dynamical systems; climate dynamics; earth system dynamics; nonlinear geophysics; atmospheric physics
Special Issues, Collections and Topics in MDPI journals
Meteoceanics Interdisciplinary Centre for Complex System Science; Vienna, Austria, and Lisbon, Portugal
Interests: hydro-climatology; hydrologic processes; water resources; geo-ecology; big data analytics; climate–ecosystem–society interactions; extreme events and natural hazards; flood regime changes; climate change and sustainable development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Hydrology is a rich multidisciplinary field encompassing a complex process network involving interactions of diverse nature and scales. Still, it abides by the core dynamical principles regulating individual and cooperative processes and interactions, ultimately relating to the overall Earth system dynamics. This Special Issue focuses on advances in theoretical and applied studies in hydrologic dynamics, regimes, transitions, and extremes, along with their physical understanding, predictability, and uncertainty. Moreover, it welcomes research on dynamical co-evolution, feedbacks, and synergies among hydrologic and other Earth system processes at multiple spatiotemporal scales. The Special Issue further encourages a discussion on the physical and analytical approaches to hydrologic dynamics, ranging from stochastic, computational, and system dynamic analysis to more general frameworks addressing non-ergodic and thermodynamically unstable processes and interactions.

Contributions are welcome from a diverse community across the Earth system sciences, working with diverse approaches ranging from dynamical modeling to data mining, machine learning, and analysis, with a physical understanding in mind.

Prof. Dr. Rui A. P. Perdigão
Dr. Julia Hall
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. Applied Sciences 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

  • Complex systems
  • Multiscale Earth system dynamics
  • Hydrologic processes
  • Ecohydrology
  • Hydroclimatology
  • Big data analytics
  • Spatiotemporal patterns
  • Machine learning
  • Nonlinear dynamic modeling
  • Information physics

Published Papers (1 paper)

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Research

18 pages, 7224 KiB  
Article
Analysis of Hydrological Characteristics of Blue Nile Basin, Nashe Watershed
by Megersa Kebede Leta, Tamene Adugna Demissie and Muhammad Waseem
Appl. Sci. 2021, 11(24), 11791; https://doi.org/10.3390/app112411791 - 11 Dec 2021
Cited by 2 | Viewed by 2464
Abstract
Hydrological modeling is a technique for understanding hydrologic characteristics and estimation of the water balance of watersheds for integrated water resources development and management. The Soil and Water Assessment Tool (SWAT) model was used for modeling the hydrological behavior of the Nashe watershed [...] Read more.
Hydrological modeling is a technique for understanding hydrologic characteristics and estimation of the water balance of watersheds for integrated water resources development and management. The Soil and Water Assessment Tool (SWAT) model was used for modeling the hydrological behavior of the Nashe watershed in the north-western part of Ethiopia. The spatial data, daily climate, and stream flow were the required input data for the model. The observed monthly stream flow data at the outlet and selected sub-watersheds in the catchment were used to calibrate and validate the model. The model performance was assessed between the simulated and observed streamflow by using sequential uncertainty fitting-2 (SUFI-2), generalized likelihood uncertainty estimation, parameter solution (Parasol) and particle swarm optimization. The sensitivity of 18 parameters was tested, and the most sensitive parameters were identified. The model performance was evaluated using p and r- factor, coefficient of determination, Nash Sutcliffe coefficient efficiency, percent bias during uncertainty analysis, calibration and validation. Therefore, based on the set of proposed evaluation criteria, the SUFI-2 algorithm has been able to provide slightly more reasonable outcomes and Parasol is the worst compared to the other algorithms. An analysis of monthly and seasonal water balance has been also accomplished for the Nashe catchment. The water balance parameters were distinct for the three seasonal periods in the catchment. The seasonal water budget analysis reveals that the watershed receives around 19%, 69%, and 12% of rainfall through the short rain, long rain and dry seasons, respectively. The received precipitation was lost due to evapotranspiration by 29%, 34% and 37% for each season respectively. The surface runoff contributes to the catchment by 5%, 86% and 9% of the water yield. Full article
(This article belongs to the Special Issue Frontiers in Hydrologic Dynamics, Analytics and Predictability)
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