Since the Industrial Revolution, the population has increased dramatically and industry has grown rapidly. On the one hand, the greenhouse gases, mainly carbon dioxide, emitted by human activities have far exceeded the past levels; on the other hand, the massive deforestation due to the reclamation of agricultural land, the construction of factories and urban buildings has reduced the conditions for converting carbon dioxide into organic matter. In addition, greenhouse gases absorb long-wave radiation emitted from the earth's surface and atmosphere, affecting the balance of radiation income and expenditure of the earth's air system, leading to global climate change and an annual increase in the level of carbon dioxide in the atmosphere. In addition to causing harm to the environment, high concentrations of carbon dioxide can also be harmful to humans. According to research, carbon dioxide concentration in the air above 2% may cause carbon dioxide poisoning, leading to damage to human respiratory organs: carbon dioxide poisoning ranges from mild discomfort such as dizziness and headache, to moderate tinnitus, chest tightness and shortness of breath, to severe coma and death by asphyxiation.
Especially for governments, the disorderly nature of carbon emissions has had a profound impact on policy making in various countries. The complexity and effective perception of carbon emissions has become a shackle for governments in the process of policy making, while occasional small events (perturbations) may have a significant global impact on the system due to the chain effects brought about by carbon emissions. The actual social management and economic system is a complex system with multiple feedbacks and a high degree of nonlinearity, which is highly interdependent on the environment and point in time, has strong inverse and time-lag effects, is extremely sensitive to changes in most parameters of the system, and is additive to the delayed and delayed utility of policy effects.
The management of carbon emissions faces complex environmental factors and time-varying factors, as well as their interactions, resulting in more complex management and economic problems, more difficult to manage, and more difficult to perceive. Therefore, it is necessary to explore the architecture and operation mechanism of social management system targeting carbon emission reduction and disturbance analysis; to explore the evolution of organizational behavior and models during the operation of carbon emission reduction policy; to explore the complexity changes brought by system disturbances; and to practically study the social interaction and experimental calculation methods.
To this end, we welcome scholars who have contributed in this field to share their latest research results:
• Modeling and experimental computation of carbon abatement systems and perturbation systems, or perceptual systems.
• Complexity and applications of carbon abatement systems or perceptual systems with delayed characteristics.
• Complexity of carbon emission reduction and perturbation systems with stochastic characteristics, or perceptual systems, and their impact on the economy and society.
• Chaotic characteristics, evolutionary processes and experimental calculations of carbon abatement systems.
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.
Since the Industrial Revolution, the population has increased dramatically and industry has grown rapidly. On the one hand, the greenhouse gases, mainly carbon dioxide, emitted by human activities have far exceeded the past levels; on the other hand, the massive deforestation due to the reclamation of agricultural land, the construction of factories and urban buildings has reduced the conditions for converting carbon dioxide into organic matter. In addition, greenhouse gases absorb long-wave radiation emitted from the earth's surface and atmosphere, affecting the balance of radiation income and expenditure of the earth's air system, leading to global climate change and an annual increase in the level of carbon dioxide in the atmosphere. In addition to causing harm to the environment, high concentrations of carbon dioxide can also be harmful to humans. According to research, carbon dioxide concentration in the air above 2% may cause carbon dioxide poisoning, leading to damage to human respiratory organs: carbon dioxide poisoning ranges from mild discomfort such as dizziness and headache, to moderate tinnitus, chest tightness and shortness of breath, to severe coma and death by asphyxiation.
Especially for governments, the disorderly nature of carbon emissions has had a profound impact on policy making in various countries. The complexity and effective perception of carbon emissions has become a shackle for governments in the process of policy making, while occasional small events (perturbations) may have a significant global impact on the system due to the chain effects brought about by carbon emissions. The actual social management and economic system is a complex system with multiple feedbacks and a high degree of nonlinearity, which is highly interdependent on the environment and point in time, has strong inverse and time-lag effects, is extremely sensitive to changes in most parameters of the system, and is additive to the delayed and delayed utility of policy effects.
The management of carbon emissions faces complex environmental factors and time-varying factors, as well as their interactions, resulting in more complex management and economic problems, more difficult to manage, and more difficult to perceive. Therefore, it is necessary to explore the architecture and operation mechanism of social management system targeting carbon emission reduction and disturbance analysis; to explore the evolution of organizational behavior and models during the operation of carbon emission reduction policy; to explore the complexity changes brought by system disturbances; and to practically study the social interaction and experimental calculation methods.
To this end, we welcome scholars who have contributed in this field to share their latest research results:
• Modeling and experimental computation of carbon abatement systems and perturbation systems, or perceptual systems.
• Complexity and applications of carbon abatement systems or perceptual systems with delayed characteristics.
• Complexity of carbon emission reduction and perturbation systems with stochastic characteristics, or perceptual systems, and their impact on the economy and society.
• Chaotic characteristics, evolutionary processes and experimental calculations of carbon abatement systems.
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.