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- Water | An Open Access Journal from MDPI
Water is a peer-reviewed, open access journal on water science and technology, including the ecology and management of water resources, and is published semimonthly online by MDPI
- Water | Aims Scope - MDPI
Water-human development: drinking water supply and sanitation; effects of contaminated water on health; waterborne diseases; water and poverty; water constraints to growth
- Review of Recent Advances in Remote Sensing and Machine Learning . . .
Lake water level monitoring is crucial for understanding hydrological changes, assessing flood risks, and managing water resources Remote sensing techniques offer the ability to provide regular and spatially comprehensive measurements for water level monitoring
- Water Resource Management: Hydrological Modelling, Hydrological Cycles . . .
Different approaches, such as hydrological modelling and water allocation, can help forecast water availability under different climatic and institutional scenarios Thus, the field of water management is constantly changing and developing, resulting in an increasing number of scientific papers
- Water | Instructions for Authors - MDPI
Manuscripts for Water should be submitted online at susy mdpi com The submitting author, who is generally the corresponding author, is responsible for the manuscript during the submission and peer review process
- Water Harvesting and Groundwater Recharge: A Comprehensive . . . - MDPI
This paper provides a comprehensive overview of contemporary knowledge on water harvesting and recharge, using a systematic four-step methodology to identify and analyze relevant studies from databases like Google Scholar, Scopus, and ScienceDirect
- Water Quality Management in the Age of AI: Applications . . . - MDPI
Artificial intelligence (AI) is transforming water environment management, creating new opportunities for improved monitoring, prediction, and intelligent regulation of water quality
- Remote Sensing Techniques for Water Quality Monitoring: A Review - MDPI
In complex water environments and narrow urban rivers, combining UAV remote sensing data with a limited number of on-site water quality samples can provide a comprehensive overview of water quality and spatial distribution
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