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The Power of Modelling in Managing Water Resources under the Current Great Challenges of Climate Change

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

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 1490

Special Issue Editors


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Guest Editor
Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
Interests: water resources management; hydrological modeling; optimization algorithms; artificial intelligent and machne learning; dam operation
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Guest Editor
Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), Selangor 43000, Malaysia
Interests: machine learning modelling; water quality modelling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Research Associate, Department of Geography and Planning, University of Liverpool, Liverpool, UK
Interests: applications of artificial intelligence techniques in engineering, water quality modelling, and ocean engineering

Special Issue Information

Dear Colleagues,

This special issue focuses on the anticipated challenges associated with climate change on managing the quality and quantity of water. The current special issue is welcoming all experts and enthusiastic researchers who are dedicating their time and efforts to tackling the issues related to managing the water resources to contribute by submitting their work here. The scope of this special issue is wide and covers the whole spectrum of research areas in the discipline of water resources management. To name a few of the covered topics, this special issue welcomes research works related to surface and groundwater modelling techniques, dam operation using meta-heuristic techniques, sea level rise modelling, rainfall forecasting models, modelling sediment transports, and predicting extreme events such as droughts and floods using advanced techniques. In addition to that and related findings help in managing this precious resource are welcomed in this special issue.

The main aim of this issue is to provide the readers with the current challenges in managing water resources and the guest editor and his assistants hope that the included research works in this special issue will provide the readers of the Sustainability journal with clear pictures of managing these resources wisely in the future.

Prof. Dr. Ahmed Hussein Kamel Ahmed Elshafie
Dr. Al Mahfoodh Ali Najah Ahmed
Dr. Pavitra Kumar
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

  • reservoir operation
  • optimizations
  • water quality monitoring and modelling
  • rainfall forecasting
  • streamflow prediction
  • climate change impact on water resources

Published Papers (1 paper)

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Research

17 pages, 5858 KiB  
Article
Integrated Assessment of the Land Use Change and Climate Change Impact on Baseflow by Using Hydrologic Model
by Jimin Lee, Minji Park, Joong-Hyuk Min and Eun Hye Na
Sustainability 2023, 15(16), 12465; https://doi.org/10.3390/su151612465 - 16 Aug 2023
Cited by 3 | Viewed by 900
Abstract
Changes in land use and climate can affect both the surface runoff and baseflow of streamflow. Baseflow significantly contributes to stream function in regions where climatic characteristics are seasonally distinct. Baseflow estimation depends on the observed streamflow in gauge water sheds, but baseflow [...] Read more.
Changes in land use and climate can affect both the surface runoff and baseflow of streamflow. Baseflow significantly contributes to stream function in regions where climatic characteristics are seasonally distinct. Baseflow estimation depends on the observed streamflow in gauge water sheds, but baseflow estimations in data-poor or gauged watersheds depend solely on streamflow predicted from the hydrologic model. To accurately predict base runoff through the model, it is necessary to apply proper hydrological parameters. Accordingly, the objectives of this study are to (1) improve predictions of SWAT by applying the alpha factor estimated using BFLOW for calibration, and (2) evaluate streamflow and baseflow the effects of changes in land use and climate. The results show the alpha factor estimated using BFLOW in SWAT calibration improves the prediction for streamflow and recessions in the baseflow. In this study, streamflow increased due to land use change (impervious urban and agricultural areas), while baseflow decreased. The baseflow was more significant in the dry season than in the wet season, and the baseflow fluctuation was significant from February to May. Moreover, the changes in land use in the study area lead to differences in the seasonal characteristics observed for the temporal distribution of streamflow and baseflow. Full article
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