Using the improved Energy-Environmental Version of the GTAP Model (GTAP-E) and the sixth version of emission database of non-CO2 greenhouse gases, we simulate the emission reduction potential of non-CO2 greenhouse gas...Using the improved Energy-Environmental Version of the GTAP Model (GTAP-E) and the sixth version of emission database of non-CO2 greenhouse gases, we simulate the emission reduction potential of non-CO2 greenhouse gases in China and its policy implications. The results show that at present, China is a country with the greatest emission of non-CO2 greenhouse gases in the world, and the emission will account for about 20% of the world's total emission in 2020. The proportion of emission of non-CO2 greenhouse gases from the agricultural sector reaches 73%. In the next 10 years, the emission of non-CO2 gases from cattle and sheep, industry and service industry will experience the highest growth rate; the growth rate of emission from service industry will be higher than that of emission from industry, and the emission from service industry will exceed that from industry after 2010. China can implement emission reduction policy of non-CO2 greenhouse gases to ease the international pressure of CO2 emission reduction. Although the high carbon tax collected can reduce considerable non-CO2 emission, there is little difference in policy efficiency between high carbon tax and low carbon tax. So, in the implementation of emission reduction carbon tax policy of non-CO2 gases, it is necessary to control the carbon tax at a low level.展开更多
There are many types of methods for monitoring atmospheric greenhouse gases,and the differences between the methods have introduced many uncertainties for the accurate monitoring of atmospheric greenhouse gases.In thi...There are many types of methods for monitoring atmospheric greenhouse gases,and the differences between the methods have introduced many uncertainties for the accurate monitoring of atmospheric greenhouse gases.In this paper,the monitoring methods of 7 long-lived greenhouse gases(LLGHG),including carbon dioxide(CO_(2)),methane(CH_(4)),nitrous oxide(N_(2)O),hydrofluorocarbons(HFCs),perfluorocarbons(PFCs),sulfur hexafluoride(SF_(6))and nitrogen trifluoride(NF_(3)),which are regulated and controlled in the Kyoto Protocol and the Doha Amendment,were summarized,and the principle,characteristics and application research progress of each method were systematically studied.Besides,their application scope was analyzed,and the domestication research of relevant instruments was analyzed and prospected.At present,the monitoring methods of atmospheric greenhouse gases are developing towards automation and multi-component simultaneous rapid detection,and are accelerating its integration with new technologies such as big data and satellite remote sensing monitoring;top-down and bottom-up methods are used to provide strong data support for carbon peaking and carbon neutral management decisions in various countries.展开更多
Since the industrial revolution,enhancement of atmospheric greenhouse gas concentrations as a result of human activities has been the primary cause of global warming.The monitoring and evaluation of greenhouse gases a...Since the industrial revolution,enhancement of atmospheric greenhouse gas concentrations as a result of human activities has been the primary cause of global warming.The monitoring and evaluation of greenhouse gases are significant prerequisites for carbon emission control.Using monthly data of global atmospheric carbon dioxide(CO_(2))and methane(CH4)column concentrations(hereinafter XCO_(2) and XCH_(4),respectively)retrieved by the Greenhouse Gas Observation Satellite(GOSAT),we analyzed the variations in XCO_(2)and XCH_(4)in China during 2010-2022 after confirming the reliability of the data.Then,the influence of a strong El Niño event in 2015-2016 on XCO_(2) and XCH_(4) variations in China was further studied.The results show that the retrieved XCO_(2) and XCH_(4) from GOSAT have similar temporal variation trends and significant correlations with the ground observation and emission inventory data of an atmospheric background station,which could be used to assess the variations in XCO_(2) and XCH_(4) in China.XCO_(2) is high in spring and winter while XCH_(4) is high in autumn.Both XCO_(2) and XCH_(4) gradually declined from Southeast China to Northwest and Northeast China,with variation ranges of 401-406 and 1.81-1.88 ppmv,respectively;and the high value areas are located in the middle-lower Yangtze River basin.XCO_(2) and XCH_(4) in China increased as a whole during 2010-2022,with rapid enhancement and high levels of XCO_(2) and XCH_(4) in several areas.The significant increases in XCO_(2) and XCH_(4) over China in 2016 might be closely related to the strong El Niño-Southern Oscillation(ENSO)event during 2015-2016.Under a global warming background in 2015,XCO_(2) and XCH_(4) increased by 0.768%and 0.657%in 2016 in China.Data analysis reveals that both the XCO_(2) and XCH_(4) variations might reflect the significant impact of the ENSO event on glacier melting in the Tibetan Plateau.展开更多
This study determines if there is a correlation between rising carbon dioxide levels and global warming. Historical data were reviewed from three different time periods spanning 500 million years. It showed that the c...This study determines if there is a correlation between rising carbon dioxide levels and global warming. Historical data were reviewed from three different time periods spanning 500 million years. It showed that the curves and trends were too dissimilar to establish a connection. Observations from CO<sub>2</sub>/temp ratios showed that the CO<sub>2</sub> and the temperature moved in opposite directions 42% of the time. Many ratios displayed zero or near zero values, reflecting a lack of response. As much as 87% of the ratios revealed negative or near zero values, which strongly negate a correlation. The infrared spectra showed the Greenhouse Gases had an exceptionally low absorption band between 11.67 μm to 9.1 μm, which is a zone called the infrared atmospheric window. Most of the Greenhouse Gases absorb little infrared inside that zone. And that zone is where the Earth’s surface emits almost all infrared radiation. Even with minimal absorbance, water vapor captures the most infrared radiation. It absorbs 84 times more than CO<sub>2</sub>, 407 thousand times more than methane, 452 thousand times more than ozone and 2.3 million times more than nitrous oxide. The Intergovernmental Panel on Climate Change (IPCC) and the United States EPA excluded water vapor because it was not associated with man-made activities. They reported that water vapor and clouds were simply feedback mechanisms from CO<sub>2</sub>. Clouds reflect radiation from the sun. The Northern Hemisphere is 2.7°F warmer than the Southern Hemisphere because of clouds. The world cloud cover has gone down 4.1% from 1982 to 2018. Calculations show that this could be responsible for 2.4°F of the 2.7°F. The research shows that most of the recent increase in temperature (89.9%) is because of fewer clouds.展开更多
【目的】明确秸秆还田下大气CO_(2)浓度升高对水稻生长和稻田CH_(4)排放的影响,为气候变化下温室气体排放评估和丰产低碳的稻作技术创新提供理论参考和科学依据。【方法】利用开顶式气室(Open top chamber,OTC)进行田间试验,设置两个CO_...【目的】明确秸秆还田下大气CO_(2)浓度升高对水稻生长和稻田CH_(4)排放的影响,为气候变化下温室气体排放评估和丰产低碳的稻作技术创新提供理论参考和科学依据。【方法】利用开顶式气室(Open top chamber,OTC)进行田间试验,设置两个CO_(2)浓度处理,分别为正常大气CO_(2)浓度处理(简称aCO_(2),CO_(2)浓度约为0.04%)和大气CO_(2)浓度升高处理(简称eCO_(2),CO_(2)浓度约为0.055%),每个处理的田块混入等量的前茬小麦秸秆,探明秸秆还田下大气CO_(2)浓度升高对水稻产量等生长特性、稻田CH_(4)排放及微生物丰度的影响,揭示秸秆还田下大气CO_(2)浓度升高对CH_(4)排放的影响机制。【结果】大气CO_(2)浓度升高显著促进水稻的生长,使剑叶叶面积增加25.0%,地上生物量增加22.0%,产量提高29.0%。大气CO_(2)浓度升高显著增加了穗数、结实率和千粒重,但对穗粒数影响不显著。秸秆还田下,大气CO_(2)浓度升高有降低稻田CH_(4)排放的趋势,使单位产量CH_(4)排放量降低了39.4%。大气CO_(2)浓度升高使土壤甲烷氧化关键基因pmoA的拷贝数增加了20.0%,但对甲烷产生关键基因mcrA的拷贝数影响较小。【结论】秸秆还田条件下,未来大气CO_(2)浓度升高不仅提高了水稻产量,而且有利于减少稻田温室气体CH_(4)的排放。展开更多
Deep eutectic solvents(DESs)have drawn a growing research interest for applications in a wide range of scientific and industrial arenas.However,a limited effort has been reported in the area of gas separation processe...Deep eutectic solvents(DESs)have drawn a growing research interest for applications in a wide range of scientific and industrial arenas.However,a limited effort has been reported in the area of gas separation processes and particularly the carbon dioxide capture.This study introduces a novel set of DESs that were prepared by complexing ethylenediamine(EDA),monoethanolamine(MEA),tetraethylenepentamine(TEPA),triethylenetetramine(TETA)and diethylenetriamine(DETA)as hydrogen bond donors to monoethanolamide hydrochloride(EAHC)salt as a hydrogen bond acceptor.The absorption capacity of CO2 was evaluated by exploiting a method based on measuring the pressure drop during the absorption process.The solubility of different DESs was studied at a temperature of 313.15 K and initial pressure of 0.8 MPa.The DES systems 1 EAHC:9 DETA,1 EAHC:9 TETA and 1 EAHC:9 TEPA achieved the highest CO2 solubility of 0.6611,0.6572 and 0.7017 mol CO2·(mole DES)-1 respectively.The results showed that CO2 solubility in the DESs increased with increasing the molar ratio of hydrogen bond donor.In addition,the CO2 solubility increased as the number of amine groups in the solvent increases,therefore,increasing the alkyl chain length in the DESs,resulted in increasing the CO2 solubility.FTIR analysis confirms the DES synthesis since no new functional group was identified.The FTIR spectra also revealed the carbamate formation in DES-CO2 mixtures.In addition,the densities and viscosities of the synthesized DESs were also measured.The CO2 initial investigation of reported DESs shows that these can be potential alternative for conventional solvents in CO2 capture processes.展开更多
The main purpose of this study was to explore the dynamic changes of greenhouse gas(GHG)from grasslands under different degradation levels during the growing seasons of Inner Mongolia, China.Grassland degradation is...The main purpose of this study was to explore the dynamic changes of greenhouse gas(GHG)from grasslands under different degradation levels during the growing seasons of Inner Mongolia, China.Grassland degradation is associated with the dynamics of GHG fluxes, e.g., CO2, CH4 and N2O fluxes. As one of the global ecological environmental problems, grassland degradation has changed the vegetation productivity as well as the accumulation and decomposition rates of soil organic matter and thus will influence the carbon and nitrogen cycles of ecosystems, which will affect the GHG fluxes between grassland ecosystems and the atmosphere. Therefore, it is necessary to explore how the exchanges of CO2,CH4 and N2O fluxes between soil and atmosphere are influenced by the grassland degradation. We measured the fluxes of CO2, CH4 and N2O in lightly degraded, moderately degraded and severely degraded grasslands in Inner Mongolia of China during the growing seasons from July to September in 2013 and 2014. The typical semi-arid grassland of Inner Mongolia plays a role as the source of atmospheric CO2 and N2O and the sink for CH4. Compared with CO2 fluxes, N2O and CH4 fluxes were relatively low. The exchange of CO2, N2O and CH4 fluxes between the grassland soil and the atmosphere may exclusively depend on the net exchange rate of CO2 in semi-arid grasslands. The greenhouse gases showed a clear seasonal pattern, with the CO2 fluxes of –33.63–386.36 mg/(m·h), CH4 uptake fluxes of 0.113–0.023 mg/(m·h) and N2O fluxes of –1.68–19.90 μg/(m·h). Grassland degradation significantly influenced CH4 uptake but had no significant influence on CO2 and N2O emissions. Soil moisture and temperature were positively correlated with CO2 emissions but had no significant effect on N2O fluxes.Soil moisture may be the primary driving factor for CH4 uptake. The research results can be in help to better understand the impact of grassland degradation on the ecological environment.展开更多
In this paper, a series of zinc cobaltite catalysts with the general formula Znx-Co1-xCo2O4 (x = 0.25, 0.50, 0.75 and 1.0) has been prepared using the co-precipitation method. Thermal analyzes (TGA and DTA) were used ...In this paper, a series of zinc cobaltite catalysts with the general formula Znx-Co1-xCo2O4 (x = 0.25, 0.50, 0.75 and 1.0) has been prepared using the co-precipitation method. Thermal analyzes (TGA and DTA) were used to follow up the thermal events accompanying the heat treatment of the parent mixture. Based on these results, the various parent mixtures were calcined at 500℃. The obtained solid catalysts were characterized by using XRD, FT-IR and N2-adsorption. The catalytic decomposition of N2O to N2 and O2 was carried out on the zinc-cobaltite catalysts. It was found that partial replacement of Co2+ by Zn2+ in Co3O4 spinel oxide led to a significant improvement in their N2O decomposition activity. Moreover, the catalytic activity was found to be depended on the calcination temperature utilized.展开更多
文摘Using the improved Energy-Environmental Version of the GTAP Model (GTAP-E) and the sixth version of emission database of non-CO2 greenhouse gases, we simulate the emission reduction potential of non-CO2 greenhouse gases in China and its policy implications. The results show that at present, China is a country with the greatest emission of non-CO2 greenhouse gases in the world, and the emission will account for about 20% of the world's total emission in 2020. The proportion of emission of non-CO2 greenhouse gases from the agricultural sector reaches 73%. In the next 10 years, the emission of non-CO2 gases from cattle and sheep, industry and service industry will experience the highest growth rate; the growth rate of emission from service industry will be higher than that of emission from industry, and the emission from service industry will exceed that from industry after 2010. China can implement emission reduction policy of non-CO2 greenhouse gases to ease the international pressure of CO2 emission reduction. Although the high carbon tax collected can reduce considerable non-CO2 emission, there is little difference in policy efficiency between high carbon tax and low carbon tax. So, in the implementation of emission reduction carbon tax policy of non-CO2 gases, it is necessary to control the carbon tax at a low level.
基金Supported by the Science and Technology Plan Project of Inner Mongolia Autonomous Region(2022YFHH0116)。
文摘There are many types of methods for monitoring atmospheric greenhouse gases,and the differences between the methods have introduced many uncertainties for the accurate monitoring of atmospheric greenhouse gases.In this paper,the monitoring methods of 7 long-lived greenhouse gases(LLGHG),including carbon dioxide(CO_(2)),methane(CH_(4)),nitrous oxide(N_(2)O),hydrofluorocarbons(HFCs),perfluorocarbons(PFCs),sulfur hexafluoride(SF_(6))and nitrogen trifluoride(NF_(3)),which are regulated and controlled in the Kyoto Protocol and the Doha Amendment,were summarized,and the principle,characteristics and application research progress of each method were systematically studied.Besides,their application scope was analyzed,and the domestication research of relevant instruments was analyzed and prospected.At present,the monitoring methods of atmospheric greenhouse gases are developing towards automation and multi-component simultaneous rapid detection,and are accelerating its integration with new technologies such as big data and satellite remote sensing monitoring;top-down and bottom-up methods are used to provide strong data support for carbon peaking and carbon neutral management decisions in various countries.
基金Supported by the Natural Science Foundation of Liaoning Province(2022-MS-098)Joint Open Fund of the Institute of Atmospheric Environment,China Meteorological Administration,Shenyang and Key Laboratory of Agro-Meteorological Disasters of Liaoning Province(2024SYIAEKFZD05 and 2023SYIAEKFZD06)+3 种基金Open Research Project of Shangdianzi Atmospheric Background Station(SDZ20220912)Joint Research Project for Meteorological Capacity Improvement(23NLTSZ006)Applied Basic Research Program of Liaoning Province(2022JH2/101300193)National Natural Science Foundation of China(42105159 and 42005040).
文摘Since the industrial revolution,enhancement of atmospheric greenhouse gas concentrations as a result of human activities has been the primary cause of global warming.The monitoring and evaluation of greenhouse gases are significant prerequisites for carbon emission control.Using monthly data of global atmospheric carbon dioxide(CO_(2))and methane(CH4)column concentrations(hereinafter XCO_(2) and XCH_(4),respectively)retrieved by the Greenhouse Gas Observation Satellite(GOSAT),we analyzed the variations in XCO_(2)and XCH_(4)in China during 2010-2022 after confirming the reliability of the data.Then,the influence of a strong El Niño event in 2015-2016 on XCO_(2) and XCH_(4) variations in China was further studied.The results show that the retrieved XCO_(2) and XCH_(4) from GOSAT have similar temporal variation trends and significant correlations with the ground observation and emission inventory data of an atmospheric background station,which could be used to assess the variations in XCO_(2) and XCH_(4) in China.XCO_(2) is high in spring and winter while XCH_(4) is high in autumn.Both XCO_(2) and XCH_(4) gradually declined from Southeast China to Northwest and Northeast China,with variation ranges of 401-406 and 1.81-1.88 ppmv,respectively;and the high value areas are located in the middle-lower Yangtze River basin.XCO_(2) and XCH_(4) in China increased as a whole during 2010-2022,with rapid enhancement and high levels of XCO_(2) and XCH_(4) in several areas.The significant increases in XCO_(2) and XCH_(4) over China in 2016 might be closely related to the strong El Niño-Southern Oscillation(ENSO)event during 2015-2016.Under a global warming background in 2015,XCO_(2) and XCH_(4) increased by 0.768%and 0.657%in 2016 in China.Data analysis reveals that both the XCO_(2) and XCH_(4) variations might reflect the significant impact of the ENSO event on glacier melting in the Tibetan Plateau.
文摘This study determines if there is a correlation between rising carbon dioxide levels and global warming. Historical data were reviewed from three different time periods spanning 500 million years. It showed that the curves and trends were too dissimilar to establish a connection. Observations from CO<sub>2</sub>/temp ratios showed that the CO<sub>2</sub> and the temperature moved in opposite directions 42% of the time. Many ratios displayed zero or near zero values, reflecting a lack of response. As much as 87% of the ratios revealed negative or near zero values, which strongly negate a correlation. The infrared spectra showed the Greenhouse Gases had an exceptionally low absorption band between 11.67 μm to 9.1 μm, which is a zone called the infrared atmospheric window. Most of the Greenhouse Gases absorb little infrared inside that zone. And that zone is where the Earth’s surface emits almost all infrared radiation. Even with minimal absorbance, water vapor captures the most infrared radiation. It absorbs 84 times more than CO<sub>2</sub>, 407 thousand times more than methane, 452 thousand times more than ozone and 2.3 million times more than nitrous oxide. The Intergovernmental Panel on Climate Change (IPCC) and the United States EPA excluded water vapor because it was not associated with man-made activities. They reported that water vapor and clouds were simply feedback mechanisms from CO<sub>2</sub>. Clouds reflect radiation from the sun. The Northern Hemisphere is 2.7°F warmer than the Southern Hemisphere because of clouds. The world cloud cover has gone down 4.1% from 1982 to 2018. Calculations show that this could be responsible for 2.4°F of the 2.7°F. The research shows that most of the recent increase in temperature (89.9%) is because of fewer clouds.
文摘【目的】明确秸秆还田下大气CO_(2)浓度升高对水稻生长和稻田CH_(4)排放的影响,为气候变化下温室气体排放评估和丰产低碳的稻作技术创新提供理论参考和科学依据。【方法】利用开顶式气室(Open top chamber,OTC)进行田间试验,设置两个CO_(2)浓度处理,分别为正常大气CO_(2)浓度处理(简称aCO_(2),CO_(2)浓度约为0.04%)和大气CO_(2)浓度升高处理(简称eCO_(2),CO_(2)浓度约为0.055%),每个处理的田块混入等量的前茬小麦秸秆,探明秸秆还田下大气CO_(2)浓度升高对水稻产量等生长特性、稻田CH_(4)排放及微生物丰度的影响,揭示秸秆还田下大气CO_(2)浓度升高对CH_(4)排放的影响机制。【结果】大气CO_(2)浓度升高显著促进水稻的生长,使剑叶叶面积增加25.0%,地上生物量增加22.0%,产量提高29.0%。大气CO_(2)浓度升高显著增加了穗数、结实率和千粒重,但对穗粒数影响不显著。秸秆还田下,大气CO_(2)浓度升高有降低稻田CH_(4)排放的趋势,使单位产量CH_(4)排放量降低了39.4%。大气CO_(2)浓度升高使土壤甲烷氧化关键基因pmoA的拷贝数增加了20.0%,但对甲烷产生关键基因mcrA的拷贝数影响较小。【结论】秸秆还田条件下,未来大气CO_(2)浓度升高不仅提高了水稻产量,而且有利于减少稻田温室气体CH_(4)的排放。
基金Sultan Qaboos University for providing financial。
文摘Deep eutectic solvents(DESs)have drawn a growing research interest for applications in a wide range of scientific and industrial arenas.However,a limited effort has been reported in the area of gas separation processes and particularly the carbon dioxide capture.This study introduces a novel set of DESs that were prepared by complexing ethylenediamine(EDA),monoethanolamine(MEA),tetraethylenepentamine(TEPA),triethylenetetramine(TETA)and diethylenetriamine(DETA)as hydrogen bond donors to monoethanolamide hydrochloride(EAHC)salt as a hydrogen bond acceptor.The absorption capacity of CO2 was evaluated by exploiting a method based on measuring the pressure drop during the absorption process.The solubility of different DESs was studied at a temperature of 313.15 K and initial pressure of 0.8 MPa.The DES systems 1 EAHC:9 DETA,1 EAHC:9 TETA and 1 EAHC:9 TEPA achieved the highest CO2 solubility of 0.6611,0.6572 and 0.7017 mol CO2·(mole DES)-1 respectively.The results showed that CO2 solubility in the DESs increased with increasing the molar ratio of hydrogen bond donor.In addition,the CO2 solubility increased as the number of amine groups in the solvent increases,therefore,increasing the alkyl chain length in the DESs,resulted in increasing the CO2 solubility.FTIR analysis confirms the DES synthesis since no new functional group was identified.The FTIR spectra also revealed the carbamate formation in DES-CO2 mixtures.In addition,the densities and viscosities of the synthesized DESs were also measured.The CO2 initial investigation of reported DESs shows that these can be potential alternative for conventional solvents in CO2 capture processes.
基金financially supported by the National Key Basic Research Program of China (2014CB138803,2016YFC0500502)the Natural Science Foundation of China (31570451)the Program for Changjiang Scholars and Innovative Research Team in University (IRT_15R06)
文摘The main purpose of this study was to explore the dynamic changes of greenhouse gas(GHG)from grasslands under different degradation levels during the growing seasons of Inner Mongolia, China.Grassland degradation is associated with the dynamics of GHG fluxes, e.g., CO2, CH4 and N2O fluxes. As one of the global ecological environmental problems, grassland degradation has changed the vegetation productivity as well as the accumulation and decomposition rates of soil organic matter and thus will influence the carbon and nitrogen cycles of ecosystems, which will affect the GHG fluxes between grassland ecosystems and the atmosphere. Therefore, it is necessary to explore how the exchanges of CO2,CH4 and N2O fluxes between soil and atmosphere are influenced by the grassland degradation. We measured the fluxes of CO2, CH4 and N2O in lightly degraded, moderately degraded and severely degraded grasslands in Inner Mongolia of China during the growing seasons from July to September in 2013 and 2014. The typical semi-arid grassland of Inner Mongolia plays a role as the source of atmospheric CO2 and N2O and the sink for CH4. Compared with CO2 fluxes, N2O and CH4 fluxes were relatively low. The exchange of CO2, N2O and CH4 fluxes between the grassland soil and the atmosphere may exclusively depend on the net exchange rate of CO2 in semi-arid grasslands. The greenhouse gases showed a clear seasonal pattern, with the CO2 fluxes of –33.63–386.36 mg/(m·h), CH4 uptake fluxes of 0.113–0.023 mg/(m·h) and N2O fluxes of –1.68–19.90 μg/(m·h). Grassland degradation significantly influenced CH4 uptake but had no significant influence on CO2 and N2O emissions. Soil moisture and temperature were positively correlated with CO2 emissions but had no significant effect on N2O fluxes.Soil moisture may be the primary driving factor for CH4 uptake. The research results can be in help to better understand the impact of grassland degradation on the ecological environment.
文摘In this paper, a series of zinc cobaltite catalysts with the general formula Znx-Co1-xCo2O4 (x = 0.25, 0.50, 0.75 and 1.0) has been prepared using the co-precipitation method. Thermal analyzes (TGA and DTA) were used to follow up the thermal events accompanying the heat treatment of the parent mixture. Based on these results, the various parent mixtures were calcined at 500℃. The obtained solid catalysts were characterized by using XRD, FT-IR and N2-adsorption. The catalytic decomposition of N2O to N2 and O2 was carried out on the zinc-cobaltite catalysts. It was found that partial replacement of Co2+ by Zn2+ in Co3O4 spinel oxide led to a significant improvement in their N2O decomposition activity. Moreover, the catalytic activity was found to be depended on the calcination temperature utilized.