About this Research Topic
This Research Topic is a second volume. Please see the first volume at: Smart Urban Environmental Health from Multi-Scale, Multimedia, Multi-Exposure, Multi-Target Perspectives
Over half of the global population lives in urbanized areas. These areas have become the geographic focus of resource consumption and chemical emissions. Pollutants among the urban environmental multi-media (including water, soil, air, etc.) are intensifying, causing chronic public health risks and an increase in hazards via multi-exposure pathways and multi-scale distribution differences. One way to measure the impact is with Environmental Health Risk Management (EHRM), widely used as a policy tool. This multi-disciplinary tool collects data for hazard identification, exposure assessment, dose-response assessment, risk characterization, and risk countermeasures.
In recent years, environmental and health studies have drawn significant attention. Current research and development provide important information on the real release, dynamics, fate, behavior, and effect of environmental contaminants. Challenges in environmental health management include:
(1) Shortage of personal exposure scenarios and parameters due to executive difficulty, low cost-benefit, and information security concerns.
(2) Shortage of dynamic pollution data, pollutant transport mechanism, and modeling in a multimedia environment.
(3) Shortage of multi-target applications, especially at the user level.
Many factors influence the degree of EHRM uncertainties, including scenarios, models, and parameters. The advent of Internet of Things (IoT) may bring about a new era of the “4R” (Right Time, Right Place, Right Information, Right Person). Therefore, it is of significance to carry out related studies on smart urban environmental health from Multi-scale, Multimedia, Multi-exposure, Multi-target perspectives.
This Research Topic aims to provide a platform for researchers committed to the progress of smart multi-scale, multimedia, multi-exposure, multi-target environmental health risk monitoring, assessment, and management. Toward user-level requirements, any progress study on “4R” environmental health risk management is welcomed.
We welcome Original Research, Systematic Reviews, Methods, Mini Reviews, Policy and Practice Reviews, Perspectives, Case Reports, and Data Report articles on the sub-topics below:
• Artificial intelligence environmental & health data mining;
• Multimedia fate modeling of urban environmental toxins;
• Portable IoT+ environmental & exposure monitoring devices;
• Bio-indicators recognition of human exposure toxicology;
• Environmental health exposures modeling and assessment;
• Spatiotemporal environmental & health economic evaluation;
• Forensic identification of environmental damage;
• Multiuser-level intelligent health risk management system and software.
Over half of the global population lives in urbanized areas. These areas have become the geographic focus of resource consumption and chemical emissions. Pollutants among the urban environmental multi-media (including water, soil, air, etc.) are intensifying, causing chronic public health risks and an increase in hazards via multi-exposure pathways and multi-scale distribution differences. One way to measure the impact is with Environmental Health Risk Management (EHRM), widely used as a policy tool. This multi-disciplinary tool collects data for hazard identification, exposure assessment, dose-response assessment, risk characterization, and risk countermeasures.
In recent years, environmental and health studies have drawn significant attention. Current research and development provide important information on the real release, dynamics, fate, behavior, and effect of environmental contaminants. Challenges in environmental health management include:
(1) Shortage of personal exposure scenarios and parameters due to executive difficulty, low cost-benefit, and information security concerns.
(2) Shortage of dynamic pollution data, pollutant transport mechanism, and modeling in a multimedia environment.
(3) Shortage of multi-target applications, especially at the user level.
Many factors influence the degree of EHRM uncertainties, including scenarios, models, and parameters. The advent of Internet of Things (IoT) may bring about a new era of the “4R” (Right Time, Right Place, Right Information, Right Person). Therefore, it is of significance to carry out related studies on smart urban environmental health from Multi-scale, Multimedia, Multi-exposure, Multi-target perspectives.
This Research Topic aims to provide a platform for researchers committed to the progress of smart multi-scale, multimedia, multi-exposure, multi-target environmental health risk monitoring, assessment, and management. Toward user-level requirements, any progress study on “4R” environmental health risk management is welcomed.
We welcome Original Research, Systematic Reviews, Methods, Mini Reviews, Policy and Practice Reviews, Perspectives, Case Reports, and Data Report articles on the sub-topics below:
• Artificial intelligence environmental & health data mining;
• Multimedia fate modeling of urban environmental toxins;
• Portable IoT+ environmental & exposure monitoring devices;
• Bio-indicators recognition of human exposure toxicology;
• Environmental health exposures modeling and assessment;
• Spatiotemporal environmental & health economic evaluation;
• Forensic identification of environmental damage;
• Multiuser-level intelligent health risk management system and software.
Keywords: multimedia environmental risk, IoT+ environmental monitoring, health geography, urban modelling and simulation, smart exposure management
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
