Hydrological Modeling and Sustainable Water Resources Management

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.

You may choose our Joint Special Issue in Hydrology.

Dr. Pengxiao Zhou
Dr. Qianqian Zhang
Dr. Fei Zhang
Dr. Zoe Li
Guest Editors

Manuscript Submission Information

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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.