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Optimal Management and Hydrological Simulation of Water and Soil Resources Under Climate Change

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

Deadline for manuscript submissions: 25 December 2025 | Viewed by 409

Special Issue Editors


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Guest Editor
School of Water and Environment Department of Hydrology and Water Resources Engineering, Chang’An University, Xi’an, China
Interests: water resources’ management; water resources’ carrying capacity; agricultural water productivity; uncertainty; climate change; hydrological modeling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan, China
Interests: soil infiltration simulation; decision support system; water conservation policies; machine learning; soil pollution diffusion

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Guest Editor
China Institute of Water Resources and Hydropower Research, Beijing, China
Interests: flash flood disaster assessment; flood risk management; drought assessment; climate change; extreme weather; hydrological uncertainty research
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to focus on research advances and investigations applied in the area of water and soil resources’ optimization simulation. At present, extreme weather events are occurring more often due to climate change, and social and economic development has led to a significant rise in the demand for water supplies. There are unprecedented challenges and opportunities in the management, evaluation, and preservation of soil and water resources. This Special Issue aims to focus on the latest research findings in the area of soil and water resources, exploring innovative technologies and methods, encouraging the preservation and sustainable use of soil and water resources, supporting the management of the water resources crisis caused by climate change and extreme weather, enhancing our understanding of hydrological processes, and supporting scientific decision-making by computer simulation and optimization technology/tools.

The goal of this Special Issue is to collate manuscripts that discuss different topics related to water resources’ carrying capacity assessment, agricultural water-saving technology optimization, hydrological process simulation under climate change, etc., and focus on combining computer simulation, mathematical analysis methods, optimization analysis methods, etc.

In this Special Issue, contributions related to the following topics of interest are welcome to be submitted:

  • Agricultural/industrial/urban water resources’ management;
  • Water resources’ carrying capacity assessment;
  • Hydrological and water resources’ planning model under uncertainty;
  • Hydrological model development and verification;
  • Soil infiltration process simulation;
  • Water resources’ decision support system development;
  • Application of learning machine in water and soil sources optimization simulation;
  • Mountain torrent disaster assessment;
  • Flood risk warning technology;
  • Comprehensive drought assessment.

Dr. Chongfeng Ren
Prof. Dr. Gaiqiang Yang
Dr. Xiao Liu
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

  • water resources’ management
  • water resources’ carrying capacity
  • agricultural water productivi-ty
  • uncertainty
  • hydrological modeling
  • soil infiltration simulation
  • decision support system
  • machine learning
  • flash flood disaster assessment
  • flood risk management
  • drought assessment
  • extreme weather

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Published Papers (1 paper)

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Research

19 pages, 1680 KB  
Article
Assessing and Identifying Areas with a High Need for Water Retention Improvement Using the Dematel Method
by Dorota Pusłowska-Tyszewska, Izabela Godyń, Joanna Markowska, Tamara Tokarczyk, Wojciech Indyk, Sylwester Tyszewski and Dorota Mirosław-Świątek
Water 2025, 17(19), 2853; https://doi.org/10.3390/w17192853 - 30 Sep 2025
Viewed by 258
Abstract
In the integrated management of water resources, which includes protecting and restoring ecosystems that are directly and indirectly dependent on water, a crucial issue is assessing and identifying areas with the greatest need for improved water retention. This study presents an effective and [...] Read more.
In the integrated management of water resources, which includes protecting and restoring ecosystems that are directly and indirectly dependent on water, a crucial issue is assessing and identifying areas with the greatest need for improved water retention. This study presents an effective and easy-to-apply method based on the multicriteria decision-making approach, which analyses needs and feasibility. Until now, a point bonitation method has been used to evaluate the need to increase the retention capacity of specific areas. Modification of this method involved applying the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach to estimate the weights of the analysed criteria. The results obtained using the new method were compared with previous studies assessing retention needs in the Masovian Voivodeship (Poland), which relied on the point bonitation method. The final evaluation showed a 74% compliance rate while significantly reducing expert involvement, demonstrating the high applicability of the developed method. Moreover, the DEMATEL method enabled the development of a cause-and-effect model of the criteria and an analysis of their importance. The lowest level of importance (13.6%) was attributed to climatic conditions, while the significance of the remaining criteria (hydrological and hydrogeological conditions, economic use of the catchment area, and catchment area cover) varied within a narrow range, from 20% to 23.5%. Full article
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