Application of Artificial Intelligence Technology in Water Environment Monitoring and Industry
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Environmental and Green Processes".
Deadline for manuscript submissions: 6 July 2025 | Viewed by 1831
Special Issue Editors
Interests: water treatment; environmental monitoring; machine leaning; water source management
Special Issues, Collections and Topics in MDPI journals
Interests: environmental geochemistry and health; behavior and transport of pollutants in atmospheric, aquatic, and terrestrial environments; policy related to environmental regulation (waste and environmental management); contaminated land risk and remediation; urban management; environmental and public health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) technology has shown unparalleled superiority, bringing unprecedented development prospects to both society and industry, and improving AI technology is challenging. With the development of society, engineering systems have also faced many problems. For example, in processes involved in water engineering systems, economic dosing in water treatment systems has been challenging to address. At present, most of the dosing involves the use of manual empirical judgment dosing, whereas automatic dosing involves a machine that functions according to the judgment value. This method is not economic and produces more labor. The function of waterworks is to ensure the normal operation of the city's industry and residential life. In the process of water transport through pipelines, water leakage, changes in water quality, and other issues are inevitable. During the transport of ships at sea, oil leakage may cause environmental pollution problems. In the submarine environment, pipeline safety is also of great concern. Overall, water environments range from simple to complex. In order to safeguard the water environment system and derived systems from damage, attention must be focused on the challenge of determining how to use AI technology to monitor the status of any objects present in water environments. In response to the problems of oil leaks during ship transportation, oil and gas leaks from undersea pipelines, gas explosions in coal mines, the excessive dosage of industrial wastewater, the ineffective supervision of industrial wastewater discharges, and leaks from waterwork pipelines, academia and industry have been working for years to explore the potential of AI applications in industry. But whether these have great potential for industrial applications is a question that deserves in-depth consideration. In recent years, most countries (e.g., China) have been stepping up the pace of AI construction and have made outstanding achievements in smart water, industrial automation monitoring, and so on. We propose this topic primarily to collect information on the industrial applications of AI in water system engineering and related environmental systems, including groundwater engineering systems, surface water engineering systems, and seawater environmental engineering systems.
Prof. Dr. Guocheng Zhu
Prof. Dr. Andrew S. Hursthouse
Guest Editors
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Keywords
- Monitoring of municipal water systems
- Monitoring of municipal industrial wastewater systems
- Monitoring of water pipeline systems
- Monitoring of marine vessels
- Monitoring of submarine pipelines
- Monitoring of river systems
- Monitoring of river transportation safety
- Safety strategies of river water engineering systems
- Monitoring of mining, groundwater, and soil water engineering systems
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