AI Solutions for Improving Sustainability in Water Resource Management
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Water Management".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 272
Special Issue Editors
Interests: water resources management; hydrological modelling; artificial intelligence; sustainable development; time series
Special Issues, Collections and Topics in MDPI journals
Interests: hydrology; sediment transport; water quality
Special Issues, Collections and Topics in MDPI journals
Interests: agricultural drainage; water erosion and sediment transport; hydrology of agricultural systems; irrigation; environmental modeling; numerical methods in fluid mechanics; precision farming; geophysical methods and agriculture; water erosion modeling; agricultural water quality
Special Issue Information
Dear Colleagues,
Water resources play a pivotal role in fostering sustainable socio-economic advancement and preserving the environment for future generations. While prevalent techniques in water resource management primarily hinge on time series modeling, they often presume linearity in water demand and usage data. These conventional approaches employ models and methods that overlook the intricacies inherent in the datasets. Hence, the precision of forecasting water quantity and quality time series holds immense significance for sustainable progress, impacting economic, social, and environmental domains.
The examination of historical datasets through cutting-edge artificial intelligence modeling techniques is a promising avenue for innovative water resources management solutions. This field holds the potential to surmount the limitations posed by complex input datasets inherent in deterministic hydrologic models. This Special Issue endeavors to address two core objectives:
- The development of novel pioneering artificial intelligence (AI) and stochastic techniques tailored for modeling water quantity and quality time series, which could overcome the limits of conventional methodologies;
- The establishment of more accurate and streamlined predictive models, geared towards real-time forecasting, optimization, and the automation of meteorological and hydrological watershed variables. These efforts are directed to enhance our comprehension of water resource management challenges entwined with the realm of sustainable development in today's swiftly globalizing and urbanizing landscape.
Within this context, research that delves into the intricate and dynamic meteorological and hydrological watershed variables, coupled with the integration of novel modeling approaches, tool creation, and enhancements in existing predictive models, is of utter significance. Thus, this Special Issue seeks to provide a platform for the exchange of knowledge and expertise in the sphere of water sustainable water resource management.
We look forward to receiving your contributions.
Dr. Hossein Bonakdari
Prof. Dr. Bahram Gharabaghi
Dr. Silvio José Gumiere
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
- time series
- watershed
- artificial intelligence
- stochastic methods
- hydrology
- sustainability
- hydrological processes
- real-time prediction
- optimization algorithms
- predictive modelling
- water balance
- environmental sustainability
- water demand
- meteorological variables
- water quantity and quality
- watershed variables
