Hydrological Modeling and Sustainable Water Resources Management

A special issue of Environments (ISSN 2076-3298).

Deadline for manuscript submissions: 15 September 2024 | Viewed by 519

Special Issue Editors


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Guest Editor
Department of Civil Engineering, McMaster University, Hamilton, ON L8S 4L7, Canada
Interests: hydrological modeling; wastewater modeling; uncertainty analysis; machine learning; life cycle assessment

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Guest Editor
School of Management, Chengdu University of Information Technology, Chengdu, China
Interests: environmental risk analysis; water quality management; uncertainty analysis; data-driven modeling

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Guest Editor
1. SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Beijing, China
2. CAS Center for Excellence in Quaternary Science and Global Change, Xi'an, China
Interests: hydrology; ground water; surface water; geology; water quality assessment; geochemistry; chemical weathering
Department of Civil Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
Interests: uncertainty analysis; risk management; stochastic modelling; water resources management; climate change impacts; environmental systems analysis
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Special Issue Information

Dear Colleagues,

Hydrological modeling and the sustainable management of water resources play a vital role in addressing the complicated challenges related to water availability, quality, and sustainability. For instance, hydrological models are essential for flood control, while the management of water resources facilitates sustainable socio-economic development.

In the era of increasing water stress, this Special Issue, entitled ‘Hydrological Modeling and Sustainable Water Resources Management’ serves as a platform for researchers to demonstrate problem-solving wisdom in this critical field. Our aim is to present innovative solutions and share cutting-edge research that can inspire, enhance and transform the way we model and manage water resources.

This Special Issue welcomes contributions that push the boundaries of hydrological modeling and offer insights into the effective management of water resources. We encourage submissions that explore emerging trends such as machine learning, remote sensing, digital twins, and data assimilation techniques to enhance our understanding of hydrological processes. Additionally, studies of computer simulation, risk analysis, and decision support for water resources are welcomed. Complementing these topics, this Special Issue seeks to encompass the latest developments in environmental modeling and technology, delve into environmental management, and highlight the critical role of environmental impact and risk assessment.

Dr. Pengxiao Zhou
Dr. Qianqian Zhang
Dr. Fei Zhang
Dr. Zoe Li
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. Environments 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

  • hydrological modeling
  • data-driven models
  • human activity impacts on water quantity and quality
  • nonstationary rainfall runoff
  • runflow prediction
  • extreme event causality, impact and prediction
  • climate change impacts and adaptation
  • water resource management
  • flood and drought risks
  • risk analysis and management

Published Papers

This special issue is now open for submission.
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