{"title":"大气CO2浓度动态平衡的研究","authors":"Róbert Sánta, László Garbai","doi":"10.1007/s11869-025-01783-8","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>One of the major issues of our time is environmental pollution, environmental protection, and climate change, which are all interconnected. A key characteristic of climate change is the variation in the temperature of the atmosphere, oceans, and land, known as global warming. Science has identified the increase in greenhouse gases as one of the causes of global warming. As is well known, CO<sub>2</sub> is one of the most important greenhouse gases. In our paper, we introduce new global models to examine the temporal changes in atmospheric CO<sub>2</sub> concentration. These models have an input-output structure and are mathematically first-order, constant coefficient linear inhomogeneous differential equations. We also presented a convolution integral equation derived using Duhamel’s theorem, which allows for the examination of the most complex time functions of CO<sub>2</sub> emissions. The models are mathematically easy to evaluate and also allow for the identification of parameters in the balance equations. The solutions to the mathematical models are analytical, continuous explicit functions that can be graphically displayed. Our models provide the opportunity to adjust the time constant of CO<sub>2</sub> absorption and to separate the atmospheric inflow of CO<sub>2</sub> from natural and anthropogenic sources. This facilitates the examination of future CO<sub>2</sub> changes and the impact of renewable energy sources, the green transition, and the reduction of anthropogenic emissions. We validate the model with measurement data from the Mauna Loa Observatory. We prove the dominance of natural CO<sub>2</sub> emissions and absorption and the subordinate role of anthropogenic emissions. Furthermore, we demonstrate that under constant CO<sub>2</sub> emissions, the atmospheric CO<sub>2</sub> concentration stabilizes. The atmospheric CO<sub>2</sub> concentration can be determined for any scenario. We can analyze the role of anthropogenic CO<sub>2</sub> emissions in the magnitude of global warming with these models. We can provide forecasts on whether the replacement of fossil fuels with renewable energies can stop or mitigate global warming.</p>\n </div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 9","pages":"2655 - 2667"},"PeriodicalIF":2.9000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of the dynamic equilibrium of atmospheric CO2 concentrations\",\"authors\":\"Róbert Sánta, László Garbai\",\"doi\":\"10.1007/s11869-025-01783-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>One of the major issues of our time is environmental pollution, environmental protection, and climate change, which are all interconnected. A key characteristic of climate change is the variation in the temperature of the atmosphere, oceans, and land, known as global warming. Science has identified the increase in greenhouse gases as one of the causes of global warming. As is well known, CO<sub>2</sub> is one of the most important greenhouse gases. In our paper, we introduce new global models to examine the temporal changes in atmospheric CO<sub>2</sub> concentration. These models have an input-output structure and are mathematically first-order, constant coefficient linear inhomogeneous differential equations. We also presented a convolution integral equation derived using Duhamel’s theorem, which allows for the examination of the most complex time functions of CO<sub>2</sub> emissions. The models are mathematically easy to evaluate and also allow for the identification of parameters in the balance equations. The solutions to the mathematical models are analytical, continuous explicit functions that can be graphically displayed. Our models provide the opportunity to adjust the time constant of CO<sub>2</sub> absorption and to separate the atmospheric inflow of CO<sub>2</sub> from natural and anthropogenic sources. This facilitates the examination of future CO<sub>2</sub> changes and the impact of renewable energy sources, the green transition, and the reduction of anthropogenic emissions. We validate the model with measurement data from the Mauna Loa Observatory. We prove the dominance of natural CO<sub>2</sub> emissions and absorption and the subordinate role of anthropogenic emissions. Furthermore, we demonstrate that under constant CO<sub>2</sub> emissions, the atmospheric CO<sub>2</sub> concentration stabilizes. The atmospheric CO<sub>2</sub> concentration can be determined for any scenario. We can analyze the role of anthropogenic CO<sub>2</sub> emissions in the magnitude of global warming with these models. We can provide forecasts on whether the replacement of fossil fuels with renewable energies can stop or mitigate global warming.</p>\\n </div>\",\"PeriodicalId\":49109,\"journal\":{\"name\":\"Air Quality Atmosphere and Health\",\"volume\":\"18 9\",\"pages\":\"2655 - 2667\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Quality Atmosphere and Health\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11869-025-01783-8\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality Atmosphere and Health","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11869-025-01783-8","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Investigation of the dynamic equilibrium of atmospheric CO2 concentrations
One of the major issues of our time is environmental pollution, environmental protection, and climate change, which are all interconnected. A key characteristic of climate change is the variation in the temperature of the atmosphere, oceans, and land, known as global warming. Science has identified the increase in greenhouse gases as one of the causes of global warming. As is well known, CO2 is one of the most important greenhouse gases. In our paper, we introduce new global models to examine the temporal changes in atmospheric CO2 concentration. These models have an input-output structure and are mathematically first-order, constant coefficient linear inhomogeneous differential equations. We also presented a convolution integral equation derived using Duhamel’s theorem, which allows for the examination of the most complex time functions of CO2 emissions. The models are mathematically easy to evaluate and also allow for the identification of parameters in the balance equations. The solutions to the mathematical models are analytical, continuous explicit functions that can be graphically displayed. Our models provide the opportunity to adjust the time constant of CO2 absorption and to separate the atmospheric inflow of CO2 from natural and anthropogenic sources. This facilitates the examination of future CO2 changes and the impact of renewable energy sources, the green transition, and the reduction of anthropogenic emissions. We validate the model with measurement data from the Mauna Loa Observatory. We prove the dominance of natural CO2 emissions and absorption and the subordinate role of anthropogenic emissions. Furthermore, we demonstrate that under constant CO2 emissions, the atmospheric CO2 concentration stabilizes. The atmospheric CO2 concentration can be determined for any scenario. We can analyze the role of anthropogenic CO2 emissions in the magnitude of global warming with these models. We can provide forecasts on whether the replacement of fossil fuels with renewable energies can stop or mitigate global warming.
期刊介绍:
Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health.
It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes.
International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals.
Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements.
This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.